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Rama Chellappa

Ramalingam Chellappa

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2025
[c531]
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Kartik Narayan, Nithin Gopalakrishnan Nair, Jennifer Xu, Rama Chellappa, Vishal M. Patel:
PETALface: Parameter Efficient Transfer Learning for Low-Resolution Face Recognition. WACV 2025: 804-814
[c530]
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Yuxiang Guo, Anshul Shah, Jiang Liu, Ayush Gupta, Rama Chellappa, Cheng Peng:
GaitContour: Efficient Gait Recognition Based on a Contour-Pose Representation. WACV 2025: 1051-1061
[c529]
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Tawsifur Rahman, Alexander S. Baras, Rama Chellappa:
CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification. WACV 2025: 4248-4257
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Ayush Gupta, Rama Chellappa:
MimicGait: A Model Agnostic approach for Occluded Gait Recognition Using Correlational Knowledge Distillation. WACV 2025: 4757-4766
[c527]
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Zhao-Yang Wang, Jiang Liu, Jieneng Chen, Rama Chellappa:
VM-Gait: Multi-Modal 3D Representation Based on Virtual Marker for Gait Recognition. WACV 2025: 5326-5335
[c526]
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Siyuan Huang, Ram Prabhakar, Yuxiang Guo, Rama Chellappa, Cheng Peng:
VILLS: Video-Image Learning to Learn Semantics for Person Re-Identification. WACV 2025: 5969-5979
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Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa:
Cap2Aug: Caption Guided Image data Augmentation. WACV 2025: 9125-9135
[e45]
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  - conf/icpr/2024-1
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15301, Springer 2025, ISBN 978-3-031-78106-3 [contents]
[e44]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15302, Springer 2025, ISBN 978-3-031-78165-0 [contents]
[e43]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15303, Springer 2025, ISBN 978-3-031-78121-6 [contents]
[e42]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15304, Springer 2025, ISBN 978-3-031-78127-8 [contents]
[e41]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15305, Springer 2025, ISBN 978-3-031-78168-1 [contents]
[e40]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15306, Springer 2025, ISBN 978-3-031-78171-1 [contents]
[e39]
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  - conf/icpr/2024-7
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15307, Springer 2025, ISBN 978-3-031-78182-7 [contents]
[e38]
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  - conf/icpr/2024-8
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15308, Springer 2025, ISBN 978-3-031-78185-8 [contents]
[e37]
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  - conf/icpr/2024-9
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15309, Springer 2025, ISBN 978-3-031-78188-9 [contents]
[e36]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15310, Springer 2025, ISBN 978-3-031-78191-9 [contents]
[e35]
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  - conf/icpr/2024-11
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XI. Lecture Notes in Computer Science 15311, Springer 2025, ISBN 978-3-031-78194-0 [contents]
[e34]
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  - conf/icpr/2024-12
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XII. Lecture Notes in Computer Science 15312, Springer 2025, ISBN 978-3-031-78197-1 [contents]
[e33]
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  - conf/icpr/2024-13
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIII. Lecture Notes in Computer Science 15313, Springer 2025, ISBN 978-3-031-78200-8 [contents]
[e32]
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  - conf/icpr/2024-14
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIV. Lecture Notes in Computer Science 15314, Springer 2025, ISBN 978-3-031-78340-1 [contents]
[e31]
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  - conf/icpr/2024-15
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XV. Lecture Notes in Computer Science 15315, Springer 2025, ISBN 978-3-031-78353-1 [contents]
[e30]
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  - conf/icpr/2024-16
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVI. Lecture Notes in Computer Science 15316, Springer 2025, ISBN 978-3-031-78443-9 [contents]
[e29]
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  - conf/icpr/2024-17
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVII. Lecture Notes in Computer Science 15317, Springer 2025, ISBN 978-3-031-78446-0 [contents]
[e28]
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  - conf/icpr/2024-18
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XVIII. Lecture Notes in Computer Science 15318, Springer 2025, ISBN 978-3-031-78455-2 [contents]
[e27]
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  - conf/icpr/2024-19
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XIX. Lecture Notes in Computer Science 15319, Springer 2025, ISBN 978-3-031-78494-1 [contents]
[e26]
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  - conf/icpr/2024-20
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XX. Lecture Notes in Computer Science 15320, Springer 2025, ISBN 978-3-031-78497-2 [contents]
[e25]
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  - conf/icpr/2024-21
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXI. Lecture Notes in Computer Science 15321, Springer 2025, ISBN 978-3-031-78304-3 [contents]
[e24]
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  - conf/icpr/2024-22
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXII. Lecture Notes in Computer Science 15322, Springer 2025, ISBN 978-3-031-78311-1 [contents]
[e23]
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  - conf/icpr/2024-23
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIII. Lecture Notes in Computer Science 15323, Springer 2025, ISBN 978-3-031-78346-3 [contents]
[e22]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIV. Lecture Notes in Computer Science 15324, Springer 2025, ISBN 978-3-031-78382-1 [contents]
[e21]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXV. Lecture Notes in Computer Science 15325, Springer 2025, ISBN 978-3-031-78388-3 [contents]
[e20]
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  - conf/icpr/2024-26
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVI. Lecture Notes in Computer Science 15326, Springer 2025, ISBN 978-3-031-78394-4 [contents]
[e19]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVII. Lecture Notes in Computer Science 15327, Springer 2025, ISBN 978-3-031-78397-5 [contents]
[e18]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXVIII. Lecture Notes in Computer Science 15328, Springer 2025, ISBN 978-3-031-78103-2 [contents]
[e17]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIX. Lecture Notes in Computer Science 15329, Springer 2025, ISBN 978-3-031-78109-4 [contents]
[e16]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXX. Lecture Notes in Computer Science 15330, Springer 2025, ISBN 978-3-031-78112-4 [contents]
[e15]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXI. Lecture Notes in Computer Science 15331, Springer 2025, ISBN 978-3-031-78118-6 [contents]
[e14]
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  - conf/icpr/2024-32
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXII. Lecture Notes in Computer Science 15332, Springer 2025, ISBN 978-3-031-78124-7 [contents]
[e13]
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXIII. Lecture Notes in Computer Science 15333, Springer 2025, ISBN 978-3-031-80135-8 [contents]
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  - conf/icpr/2024-34
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Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal:
Pattern Recognition. Competitions - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXXIV. Lecture Notes in Computer Science 15334, Springer 2025, ISBN 978-3-031-80138-9 [contents]
[i180]
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  - journals/corr/abs-2501-15666
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Ayush Gupta, Rama Chellappa:
MimicGait: A Model Agnostic approach for Occluded Gait Recognition using Correlational Knowledge Distillation. CoRR abs/2501.15666 (2025)
[i179]
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Basudha Pal, Siyuan Huang, Rama Chellappa:
A Quantitative Evaluation of the Expressivity of BMI, Pose and Gender in Body Embeddings for Recognition and Identification. CoRR abs/2503.06451 (2025)
[i178]
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  - journals/corr/abs-2503-10017
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Jingxing Li, Yongjae Lee, Abhay Kumar Yadav, Cheng Peng, Rama Chellappa, Deliang Fan:
Speedy MASt3R. CoRR abs/2503.10017 (2025)
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Anirudh Nanduri, Siyuan Huang, Rama Chellappa:
Multi-Domain Biometric Recognition using Body Embeddings. CoRR abs/2503.10931 (2025)
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Vineet R. Shenoy, Suhas Lohit, Hassan Mansour, Rama Chellappa, Tim K. Marks:
Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models. CoRR abs/2503.17269 (2025)
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Arun V. Reddy, Alexander Martin, Eugene Yang, Andrew Yates, Kate Sanders, Kenton Murray, Reno Kriz, Celso M. de Melo, Benjamin Van Durme, Rama Chellappa:
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. CoRR abs/2503.19009 (2025)
2024
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Guest Editorial: Special Issue on ACCV 2022. Int. J. Comput. Vis. 132(12): 6207 (2024)
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Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa:
Evaluation and mitigation of cognitive biases in medical language models. npj Digit. Medicine 7(1) (2024)
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Thirimachos Bourlai, Jacob Rose, Suha Reddy Mokalla, Ananya Zabin, Lawrence A. Hornak, Christopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Vishal M. Patel, Rama Chellappa:
Data and Algorithms for End-to-End Thermal Spectrum Face Verification. IEEE Trans. Biom. Behav. Identity Sci. 6(1): 1-14 (2024)
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Shengcai Liao, Xiaoming Liu, Massimo Tistarelli, Rama Chellappa, Josef Kittler, Nalini K. Ratha:
Editorial. IEEE Trans. Biom. Behav. Identity Sci. 6(3): 289 (2024)
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Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu:
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift. Trans. Mach. Learn. Res. 2024 (2024)
[c524]
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Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272
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Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi:
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CVPR 2024: 14076-14088
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Arun V. Reddy, William Paul, Corban Rivera, Ketul Shah, Celso M. de Melo, Rama Chellappa:
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training. CVPR 2024: 18919-18929
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Cheng Peng, Yutao Tang, Yifan Zhou, Nengyu Wang, Xijun Liu, Deming Li, Rama Chellappa:
BAGS: Blur Agnostic Gaussian Splatting Through Multi-scale Kernel Modeling. ECCV (80) 2024: 293-310
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Basudha Pal, Arunkumar Kannan, Ram Prabhakar Kathirvel, Alice J. O'Toole, Rama Chellappa:
GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images. ECCV (67) 2024: 471-488
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Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau, Micah Goldblum, Rama Chellappa:
Identifying Attack-Specific Signatures in Adversarial Examples. ICASSP 2024: 7050-7054
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  - conf/icb/GuoHP0C024
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Yuxiang Guo, Siyuan Huang, Ram Prabhakar, Chun Pong Lau, Rama Chellappa, Cheng Peng:
Distillation-guided Representation Learning for Unconstrained Gait Recognition. IJCB 2024: 1-11
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Anirudh Nanduri, Rama Chellappa:
Template-based Multi-Domain Face Recognition. IJCB 2024: 1-10
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Basudha Pal, Aniket Roy, Ram Prabhakar Kathirvel, Alice J. O'Toole, Rama Chellappa:
DiversiNet: Mitigating Bias in Deep Classification Networks across Sensitive Attributes through Diffusion-Generated Data. IJCB 2024: 1-10
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Zhao-Yang Wang, Jiang Liu, Ram Prabhakar Kathirvel, Chun Pong Lau, Rama Chellappa:
HyperGait: A Video-based Multitask Network for Gait Recognition and Human Attribute Estimation at Range and Altitude. IJCB 2024: 1-9
[c514]
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Vineet R. Shenoy, Rama Chellappa:
Robust Feature Space Organization with Distillation for Few-Shot Object Detection. ICPR (7) 2024: 296-312
[c513]
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Qiao Gu, Ali Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. ICRA 2024: 5021-5028
[c512]
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Maitreya Suin, Rama Chellappa:
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models. IJCAI 2024: 1290-1298
[c511]
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Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan:
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers. NeurIPS 2024
[c510]
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Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan:
LP-3DGS: Learning to Prune 3D Gaussian Splatting. NeurIPS 2024
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Anirudh Nanduri, Rama Chellappa:
Semi-Supervised Cross-Spectral Face Recognition with Small Datasets. WACV (Workshops) 2024: 598-606
[c508]
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Ayush Gupta, Rama Chellappa:
You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness. WACV 2024: 5881-5890
[c507]
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Maitreya Suin, Nithin Gopalakrishnan Nair, Chun Pong Lau, Vishal M. Patel, Rama Chellappa:
Diffuse and Restore: A Region-Adaptive Diffusion Model for Identity-Preserving Blind Face Restoration. WACV 2024: 6331-6340
[i174]
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  - journals/corr/abs-2401-15900
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Ketul Shah, Robert Crandall, Jie Xu, Peng Zhou, Marian George, Mayank Bansal, Rama Chellappa:
MV2MAE: Multi-View Video Masked Autoencoders. CoRR abs/2401.15900 (2024)
[i173]
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  - journals/corr/abs-2402-06106
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Maitreya Suin, Rama Chellappa:
CLR-Face: Conditional Latent Refinement for Blind Face Restoration Using Score-Based Diffusion Models. CoRR abs/2402.06106 (2024)
[i172]
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  - journals/corr/abs-2402-08113
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Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa:
Addressing cognitive bias in medical language models. CoRR abs/2402.08113 (2024)
[i171]
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  - journals/corr/abs-2403-04926
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Cheng Peng, Yutao Tang, Yifan Zhou, Nengyu Wang, Xijun Liu, Deming Li, Rama Chellappa:
BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling. CoRR abs/2403.04926 (2024)
[i170]
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  - journals/corr/abs-2403-12960
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Kartik Narayan, Vibashan VS, Rama Chellappa, Vishal M. Patel:
FaceXFormer: A Unified Transformer for Facial Analysis. CoRR abs/2403.12960 (2024)
[i169]
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  - journals/corr/abs-2403-16365
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Hossein Souri, Arpit Bansal, Hamid Kazemi, Liam Fowl, Aniruddha Saha, Jonas Geiping, Andrew Gordon Wilson, Rama Chellappa, Tom Goldstein, Micah Goldblum:
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion. CoRR abs/2403.16365 (2024)
[i168]
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  - journals/corr/abs-2404-09432
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Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CoRR abs/2404.09432 (2024)
[i167]
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  - journals/corr/abs-2405-18784
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Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan:
LP-3DGS: Learning to Prune 3D Gaussian Splatting. CoRR abs/2405.18784 (2024)
[i166]
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  - journals/corr/abs-2407-09413
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Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan:
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers. CoRR abs/2407.09413 (2024)
[i165]
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  - journals/corr/abs-2407-18428
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Gina Wong, Joshua Gleason, Rama Chellappa, Yoav Wald, Anqi Liu:
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift. CoRR abs/2407.18428 (2024)
[i164]
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  - journals/corr/abs-2409-00304
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Yuxiang Guo, Faizan Siddiqui, Yang Zhao, Rama Chellappa, Shao-Yuan Lo:
StimuVAR: Spatiotemporal Stimuli-aware Video Affective Reasoning with Multimodal Large Language Models. CoRR abs/2409.00304 (2024)
[i163]
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  - journals/corr/abs-2409-09832
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Anirudh Nanduri, Rama Chellappa:
Template-based Multi-Domain Face Recognition. CoRR abs/2409.09832 (2024)
[i162]
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  - journals/corr/abs-2409-15132
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Michael Sprintson, Rama Chellappa, Cheng Peng:
FusionRF: High-Fidelity Satellite Neural Radiance Fields from Multispectral and Panchromatic Acquisitions. CoRR abs/2409.15132 (2024)
[i161]
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  - journals/corr/abs-2410-02152
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Arun V. Reddy, Ketul Shah, Corban Rivera, William Paul, Celso M. de Melo, Rama Chellappa:
An Evaluation of Large Pre-Trained Models for Gesture Recognition using Synthetic Videos. CoRR abs/2410.02152 (2024)
[i160]
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  - journals/corr/abs-2410-06108
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Corban Rivera, Grayson Byrd, William Paul, Tyler Feldman, Meghan Booker, Emma Holmes, David Handelman, Bethany Kemp, Andrew Badger, Aurora Schmidt, Krishna Murthy Jatavallabhula, Celso M. de Melo, Lalithkumar Seenivasan, Mathias Unberath, Rama Chellappa:
ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution. CoRR abs/2410.06108 (2024)
[i159]
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  - journals/corr/abs-2412-07771
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Kartik Narayan, Nithin Gopalakrishnan Nair, Jennifer Xu, Rama Chellappa, Vishal M. Patel:
PETALface: Parameter Efficient Transfer Learning for Low-resolution Face Recognition. CoRR abs/2412.07771 (2024)
[i158]
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  - journals/corr/abs-2412-09624
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Taiming Lu, Tianmin Shu, Junfei Xiao, Luoxin Ye, Jiahao Wang, Cheng Peng, Chen Wei, Daniel Khashabi, Rama Chellappa, Alan L. Yuille, Jieneng Chen:
GenEx: Generating an Explorable World. CoRR abs/2412.09624 (2024)
[i157]
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  - journals/corr/abs-2412-14418
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Xijun Liu, Yifan Zhou, Yuxiang Guo, Rama Chellappa, Cheng Peng:
An Immersive Multi-Elevation Multi-Seasonal Dataset for 3D Reconstruction and Visualization. CoRR abs/2412.14418 (2024)
2023
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Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13054-13067 (2023)
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Rachael E. Jack, Vishal M. Patel, Pavan K. Turaga, Mayank Vatsa, Rama Chellappa, Alex Pentland, Richa Singh:
Best Paper Section IEEE International Conference on Automatic Face and Gesture Recognition 2021. IEEE Trans. Biom. Behav. Identity Sci. 5(3): 305-307 (2023)
[j277]
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Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa:
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. Trans. Mach. Learn. Res. 2023 (2023)
[c506]
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Cheng Peng, Rama Chellappa:
PDRF: Progressively Deblurring Radiance Field for Fast Scene Reconstruction from Blurry Images. AAAI 2023: 2029-2037
[c505]
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Pirazh Khorramshahi, Vineet R. Shenoy, Rama Chellappa:
Robust and Scalable Vehicle Re-Identification via Self-Supervision. CVPR Workshops 2023: 5295-5304
[c504]
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Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CVPR Workshops 2023: 5538-5548
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Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CVPR 2023: 18846-18856
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Yuxiang Guo, Cheng Peng, Chun Pong Lau, Rama Chellappa:
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB. FG 2023: 1-7
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Chun Pong Lau, Maitreya Suin, Rama Chellappa:
ATDetect: Face Detection and Keypoint Extraction at Range and Altitude. IJCB 2023: 1-10
[c500]
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Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. ICCV 2023: 5262-5274
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Saksham Suri, Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. ICCV 2023: 6747-6758
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Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa:
STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos. ICCV 2023: 10341-10353
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Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava:
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. ICCV 2023: 15777-15788
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Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. ICRA 2023: 11374-11381
[c495]
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Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa:
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization. NeurIPS 2023
[c494]
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Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS 2023
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Ketul Shah, Anshul Shah, Chun Pong Lau, Celso M. de Melo, Rama Chellappa:
Multi-View Action Recognition using Contrastive Learning. WACV 2023: 3370-3380
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13841, Springer 2023, ISBN 978-3-031-26318-7 [contents]
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13842, Springer 2023, ISBN 978-3-031-26283-8 [contents]
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13843, Springer 2023, ISBN 978-3-031-26312-5 [contents]
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13844, Springer 2023, ISBN 978-3-031-26315-6 [contents]
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13845, Springer 2023, ISBN 978-3-031-26347-7 [contents]
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13846, Springer 2023, ISBN 978-3-031-26350-7 [contents]
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Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13847, Springer 2023, ISBN 978-3-031-26292-0 [contents]
[i156]
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Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa:
STEPs: Self-Supervised Key Step Extraction from Unlabeled Procedural Videos. CoRR abs/2301.00794 (2023)
[i155]
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  - journals/corr/abs-2303-10280
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Arun V. Reddy, Ketul Shah, William Paul, Rohita Mocharla, Judy Hoffman, Kapil D. Katyal, Dinesh Manocha, Celso M. de Melo, Rama Chellappa:
Synthetic-to-Real Domain Adaptation for Action Recognition: A Dataset and Baseline Performances. CoRR abs/2303.10280 (2023)
[i154]
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  - journals/corr/abs-2304-00387
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Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CoRR abs/2304.00387 (2023)
[i153]
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Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava:
MOST: Multiple Object localization with Self-supervised Transformers for object discovery. CoRR abs/2304.05387 (2023)
[i152]
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  - journals/corr/abs-2304-07500
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Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa:
The 7th AI City Challenge. CoRR abs/2304.07500 (2023)
[i151]
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  - journals/corr/abs-2305-13548
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Chun Pong Lau, Jiang Liu, Rama Chellappa:
Attribute-Guided Encryption with Facial Texture Masking. CoRR abs/2305.13548 (2023)
[i150]
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  - journals/corr/abs-2305-13625
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Jiang Liu, Chun Pong Lau, Rama Chellappa:
DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection. CoRR abs/2305.13625 (2023)
[i149]
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  - journals/corr/abs-2306-08213
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Zhusi Zhong, Jie Li, Lulu Bi, Li Yang, Ihab Kamel, Rama Chellappa, Xinbo Gao, Harrison X. Bai, Zhicheng Jiao:
SMC-UDA: Structure-Modal Constraint for Unsupervised Cross-Domain Renal Segmentation. CoRR abs/2306.08213 (2023)
[i148]
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  - journals/corr/abs-2307-05463
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Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang:
EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. CoRR abs/2307.05463 (2023)
[i147]
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  - journals/corr/abs-2307-14578
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Yuxiang Guo, Cheng Peng, Ram Prabhakar, Chun Pong Lau, Rama Chellappa:
GADER: GAit DEtection and Recognition in the Wild. CoRR abs/2307.14578 (2023)
[i146]
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  - journals/corr/abs-2309-16650
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Qiao Gu, Alihusein Kuwajerwala, Sacha Morin, Krishna Murthy Jatavallabhula, Bipasha Sen, Aditya Agarwal, Corban Rivera, William Paul, Kirsty Ellis, Rama Chellappa, Chuang Gan, Celso Miguel de Melo, Joshua B. Tenenbaum, Antonio Torralba, Florian Shkurti, Liam Paull:
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning. CoRR abs/2309.16650 (2023)
[i145]
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  - journals/corr/abs-2310-00116
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Mahyar Fazlyab, Taha Entesari, Aniket Roy, Rama Chellappa:
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization. CoRR abs/2310.00116 (2023)
[i144]
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  - journals/corr/abs-2310-03103
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Guoyizhe Wei, Feng Wang, Anshul Shah, Rama Chellappa:
Dual Prompt Tuning for Domain-Aware Federated Learning. CoRR abs/2310.03103 (2023)
[i143]
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  - journals/corr/abs-2310-19909
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Micah Goldblum, Hossein Souri, Renkun Ni, Manli Shu, Viraj Prabhu, Gowthami Somepalli, Prithvijit Chattopadhyay, Mark Ibrahim, Adrien Bardes, Judy Hoffman, Rama Chellappa, Andrew Gordon Wilson, Tom Goldstein:
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR abs/2310.19909 (2023)
[i142]
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  - journals/corr/abs-2311-05725
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Siyuan Huang, Ram Prabhakar Kathirvel, Chun Pong Lau, Rama Chellappa:
Whole-body Detection, Recognition and Identification at Altitude and Range. CoRR abs/2311.05725 (2023)
[i141]
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  - journals/corr/abs-2311-09753
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Aniket Roy, Maitreya Suin, Anshul Shah, Ketul Shah, Jiang Liu, Rama Chellappa:
DIFFNAT: Improving Diffusion Image Quality Using Natural Image Statistics. CoRR abs/2311.09753 (2023)
[i140]
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  - journals/corr/abs-2311-15551
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Jiang Liu, Chen Wei, Yuxiang Guo, Heng Yu, Alan L. Yuille, Soheil Feizi, Chun Pong Lau, Rama Chellappa:
Instruct2Attack: Language-Guided Semantic Adversarial Attacks. CoRR abs/2311.15551 (2023)
[i139]
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  - journals/corr/abs-2311-16497
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Yuxiang Guo, Anshul Shah, Jiang Liu, Rama Chellappa, Cheng Peng:
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation. CoRR abs/2311.16497 (2023)
[i138]
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  - journals/corr/abs-2311-17074
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Siyuan Huang, Yifan Zhou, Ram Prabhakar Kathirvel, Rama Chellappa, Chun Pong Lau:
Self-Supervised Learning of Whole and Component-Based Semantic Representations for Person Re-Identification. CoRR abs/2311.17074 (2023)
[i137]
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  - journals/corr/abs-2312-02290
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Ayush Gupta, Rama Chellappa:
You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness. CoRR abs/2312.02290 (2023)
[i136]
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  - journals/corr/abs-2312-02914
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Arun V. Reddy, William Paul, Corban Rivera, Ketul Shah, Celso M. de Melo, Rama Chellappa:
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training. CoRR abs/2312.02914 (2023)
[i135]
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  - journals/corr/abs-2312-12423
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Shraman Pramanick, Guangxing Han, Rui Hou, Sayan Nag, Ser-Nam Lim, Nicolas Ballas, Qifan Wang, Rama Chellappa, Amjad Almahairi:
Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. CoRR abs/2312.12423 (2023)
[i134]
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  - journals/corr/abs-2312-14976
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Basudha Pal, Arunkumar Kannan, Ram Prabhakar Kathirvel, Alice J. O'Toole, Rama Chellappa:
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models. CoRR abs/2312.14976 (2023)
2022
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Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning Together is Better Than Going Alone. IEEE Trans. Inf. Forensics Secur. 17: 2364-2377 (2022)
[c492]
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Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. AAAI 2022: 8220-8230
[c491]
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  - conf/acssc/NaltyPGCHBC22
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Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa:
A Brief Survey on Person Recognition at a Distance. IEEECONF 2022: 145-152
[c490]
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Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CVPR Workshops 2022: 3346-3355
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Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CVPR 2022: 14953-14962
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Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CVPR 2022: 20186-20195
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Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CVPR 2022: 20709-20719
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Shraman Pramanick, Ewa Magdalena Nowara, Joshua Gleason, Carlos Domingo Castillo, Rama Chellappa:
Where in the World Is This Image? Transformer-Based Geo-localization in the Wild. ECCV (38) 2022: 196-215
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Sai Saketh Rambhatla, Michael J. Jones, Rama Chellappa:
An Empirical Analysis of Boosting Deep Networks. IJCNN 2022: 1-9
[c484]
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Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal M. Patel, Rama Chellappa:
Towards Performant and Reliable Undersampled MR Reconstruction via Diffusion Model Sampling. MICCAI (6) 2022: 623-633
[c483]
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Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian, Rama Chellappa:
FeLMi : Few shot Learning with hard Mixup. NeurIPS 2022
[c482]
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Hossein Souri, Liam Fowl, Rama Chellappa, Micah Goldblum, Tom Goldstein:
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. NeurIPS 2022
[c481]
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Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose and Joint-Aware Action Recognition. WACV 2022: 141-151
[i133]
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  - journals/corr/abs-2201-04620
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Sai Saketh Rambhatla, Saksham Suri, Rama Chellappa, Abhinav Shrivastava:
Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach. CoRR abs/2201.04620 (2022)
[i132]
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Cheng Peng, Pengfei Guo, S. Kevin Zhou, Vishal Patel, Rama Chellappa:
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling. CoRR abs/2203.04292 (2022)
[i131]
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Pirazh Khorramshahi, Vineet R. Shenoy, Michael Pack, Rama Chellappa:
Scalable and Real-time Multi-Camera Vehicle Detection, Re-Identification, and Tracking. CoRR abs/2204.07442 (2022)
[i130]
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Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Rama Chellappa, Shih-Fu Chang:
Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting. CoRR abs/2204.07841 (2022)
[i129]
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  - journals/corr/abs-2204-10380
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Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa:
The 6th AI City Challenge. CoRR abs/2204.10380 (2022)
[i128]
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  - journals/corr/abs-2204-13861
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Shraman Pramanick, Ewa Magdalena Nowara, Joshua Gleason, Carlos Domingo Castillo, Rama Chellappa:
Where in the World is this Image? Transformer-based Geo-localization in the Wild. CoRR abs/2204.13861 (2022)
[i127]
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Pirazh Khorramshahi, Vineet R. Shenoy, Rama Chellappa:
Scalable Vehicle Re-Identification via Self-Supervision. CoRR abs/2205.07613 (2022)
[i126]
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Cheng Peng, Haofu Liao, S. Kevin Zhou, Rama Chellappa:
REGAS: REspiratory-GAted Synthesis of Views for Multi-Phase CBCT Reconstruction from a single 3D CBCT Acquisition. CoRR abs/2208.08048 (2022)
[i125]
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Cheng Peng, Rama Chellappa:
PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images. CoRR abs/2208.08049 (2022)
[i124]
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Yuxiang Guo, Cheng Peng, Chun Pong Lau, Rama Chellappa:
Multi-Modal Human Authentication Using Silhouettes, Gait and RGB. CoRR abs/2210.04050 (2022)
[i123]
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Shraman Pramanick, Li Jing, Sayan Nag, Jiachen Zhu, Hardik Shah, Yann LeCun, Rama Chellappa:
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment. CoRR abs/2210.04135 (2022)
[i122]
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  - journals/corr/abs-2210-05117
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Cheng Peng, S. Kevin Zhou, Rama Chellappa:
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images. CoRR abs/2210.05117 (2022)
[i121]
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Yuxin Wen, Jonas Geiping, Liam Fowl, Hossein Souri, Rama Chellappa, Micah Goldblum, Tom Goldstein:
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning. CoRR abs/2210.09305 (2022)
[i120]
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  - journals/corr/abs-2212-05404
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Aniket Roy, Anshul Shah, Ketul Shah, Anirban Roy, Rama Chellappa:
DiffAlign : Few-shot learning using diffusion based synthesis and alignment. CoRR abs/2212.05404 (2022)
[i119]
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  - journals/corr/abs-2212-08969
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Chrisopher B. Nalty, Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Shuowen Hu, Thirimachos Bourlai, Rama Chellappa:
A Brief Survey on Person Recognition at a Distance. CoRR abs/2212.08969 (2022)
2021
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Rama Chellappa, Diego Gragnaniello, Chang-Tsun Li, Francesco Marra, Richa Singh:
Guest Editorial: Adversarial Deep Learning in Biometrics & Forensics. Comput. Vis. Image Underst. 208-209: 103227 (2021)
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Dong Xu, Rama Chellappa, Luc Van Gool, Guo Lu:
Guest Editorial: Special Issue on Deep Learning for Video Analysis and Compression. Int. J. Comput. Vis. 129(12): 3171-3173 (2021)
[j273]
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Chun Pong Lau, Amit Kumar, Rama Chellappa:
Semi-Supervised Landmark-Guided Restoration of Atmospheric Turbulent Images. IEEE J. Sel. Top. Signal Process. 15(2): 204-215 (2021)
[j272]
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Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa:
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 1914-1927 (2021)
[j271]
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Rama Chellappa, Sergios Theodoridis, André van Schaik:
Advances in Machine Learning and Deep Neural Networks. Proc. IEEE 109(5): 607-611 (2021)
[j270]
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Chun Pong Lau, Carlos Domingo Castillo, Rama Chellappa:
ATFaceGAN: Single Face Semantic Aware Image Restoration and Recognition From Atmospheric Turbulence. IEEE Trans. Biom. Behav. Identity Sci. 3(2): 240-251 (2021)
[j269]
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Ilya Kavalerov, Weilin Li, Wojciech Czaja, Rama Chellappa:
3-D Fourier Scattering Transform and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(12): 10312-10327 (2021)
[c480]
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Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. AAAI 2021: 436-444
[c479]
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Steven Schwarcz, Rama Chellappa:
Finding Facial Forgery Artifacts With Parts-Based Detectors. CVPR Workshops 2021: 933-942
[c478]
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  - conf/cvpr/KhorramshahiRC21
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Pirazh Khorramshahi, Sai Saketh Rambhatla, Rama Chellappa:
Towards Accurate Visual and Natural Language-Based Vehicle Retrieval Systems. CVPR Workshops 2021: 4183-4192
[c477]
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Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava:
Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. CVPR 2021: 12146-12155
[c476]
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Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa:
A Synthesis-Based Approach for Thermal-to-Visible Face Verification. FG 2021: 1-8
[c475]
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  - conf/fgr/RobinsonQSTCF21
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Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. FG 2021: 1-7
[c474]
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Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. ICCV 2021: 9133-9143
[c473]
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Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, Rama Chellappa:
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition. ICCV 2021: 15067-15076
[c472]
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Cheng Peng, S. Kevin Zhou, Rama Chellappa:
DA-VSR: Domain Adaptable Volumetric Super-Resolution for Medical Images. MICCAI (6) 2021: 75-85
[c471]
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Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
A Multi-Class Hinge Loss for Conditional GANs. WACV 2021: 1289-1298
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Rama Chellappa, Santanu Chaudhury, Chetan Arora, Parag Chaudhuri, Subhransu Maji:
ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19 - 22, 2021. ACM 2021, ISBN 978-1-4503-7596-2 [contents]
[i118]
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Ilya Kavalerov, Frank Zheng, Wojciech Czaja, Rama Chellappa:
Cortical Features for Defense Against Adversarial Audio Attacks. CoRR abs/2102.00313 (2021)
[i117]
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Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava:
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. CoRR abs/2105.01652 (2021)
[i116]
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Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. CoRR abs/2105.07322 (2021)
[i115]
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Hossein Souri, Micah Goldblum, Liam Fowl, Rama Chellappa, Tom Goldstein:
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch. CoRR abs/2106.08970 (2021)
[i114]
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Sai Saketh Rambhatla, Michael Jones, Rama Chellappa:
To Boost or not to Boost: On the Limits of Boosted Neural Networks. CoRR abs/2107.13600 (2021)
[i113]
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Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, Rama Chellappa:
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition. CoRR abs/2108.03764 (2021)
[i112]
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Neehar Peri, Joshua Gleason, Carlos Domingo Castillo, Thirimachos Bourlai, Vishal M. Patel, Rama Chellappa:
A Synthesis-Based Approach for Thermal-to-Visible Face Verification. CoRR abs/2108.09558 (2021)
[i111]
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  - journals/corr/abs-2109-10688
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Steven Schwarcz, Rama Chellappa:
Finding Facial Forgery Artifacts with Parts-Based Detectors. CoRR abs/2109.10688 (2021)
[i110]
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Nitin Balachandran, Jun-Cheng Chen, Rama Chellappa:
LR-to-HR Face Hallucination with an Adversarial Progressive Attribute-Induced Network. CoRR abs/2109.14690 (2021)
[i109]
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  - journals/corr/abs-2110-06802
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Hossein Souri, Pirazh Khorramshahi, Chun Pong Lau, Micah Goldblum, Rama Chellappa:
Identification of Attack-Specific Signatures in Adversarial Examples. CoRR abs/2110.06802 (2021)
[i108]
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  - journals/corr/abs-2110-13386
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Steven Schwarcz, Sai Saketh Rambhatla, Rama Chellappa:
Self-Denoising Neural Networks for Few Shot Learning. CoRR abs/2110.13386 (2021)
[i107]
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  - journals/corr/abs-2111-00598
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Joseph P. Robinson, Can Qin, Ming Shao, Matthew A. Turk, Rama Chellappa, Yun Fu:
The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces. CoRR abs/2111.00598 (2021)
[i106]
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  - journals/corr/abs-2112-04532
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Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi:
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. CoRR abs/2112.04532 (2021)
[i105]
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  - journals/corr/abs-2112-05005
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Jiang Liu, Chun Pong Lau, Hossein Souri, Soheil Feizi, Rama Chellappa:
Mutual Adversarial Training: Learning together is better than going alone. CoRR abs/2112.05005 (2021)
[i104]
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  - journals/corr/abs-2112-06323
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Chun Pong Lau, Jiang Liu, Hossein Souri, Wei-An Lin, Soheil Feizi, Rama Chellappa:
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses. CoRR abs/2112.06323 (2021)
[i103]
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  - journals/corr/abs-2112-09786
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Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, P. Jonathon Phillips, Rama Chellappa:
Distill and De-bias: Mitigating Bias in Face Recognition using Knowledge Distillation. CoRR abs/2112.09786 (2021)
[i102]
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  - journals/corr/abs-2112-10652
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Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang:
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. CoRR abs/2112.10652 (2021)
[i101]
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  - journals/corr/abs-2112-11450
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Anshul Shah, Suvrit Sra, Rama Chellappa, Anoop Cherian:
Max-Margin Contrastive Learning. CoRR abs/2112.11450 (2021)
[i100]
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  - journals/corr/abs-2112-11610
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Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CoRR abs/2112.11610 (2021)
2020
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  - journals/aim/StratCP20
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Thomas M. Strat, Rama Chellappa, Vishal M. Patel:
Vision and Robotics. AI Mag. 41(2): 49-65 (2020)
[j267]
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  - journals/comcom/Gonzalez-Manzano20
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Lorena González-Manzano, Upal Mahbub, José María de Fuentes, Rama Chellappa:
Impact of injection attacks on sensor-based continuous authentication for smartphones. Comput. Commun. 163: 150-161 (2020)
[j266]
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  - journals/sncs/GhoshC20
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Arthita Ghosh, Rama Chellappa:
Single-Shot 3D Mesh Estimation via Adversarial Domain Adaptation - Learning Directly from Synthetic Data. SN Comput. Sci. 1(1): 25:1-25:21 (2020)
[j265]
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Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Segment-Based Methods for Facial Attribute Detection from Partial Faces. IEEE Trans. Affect. Comput. 11(4): 601-613 (2020)
[j264]
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Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
UID-GAN: Unsupervised Image Deblurring via Disentangled Representations. IEEE Trans. Biom. Behav. Identity Sci. 2(1): 26-39 (2020)
[j263]
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Jingxiao Zheng, Rajeev Ranjan, Ching-Hui Chen, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
An Automatic System for Unconstrained Video-Based Face Recognition. IEEE Trans. Biom. Behav. Identity Sci. 2(3): 194-209 (2020)
[c470]
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  - conf/aaai/BansalRSC20
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Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. AAAI 2020: 10460-10469
[c469]
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  - conf/cvpr/PeriKRSRCC20
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Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet R. Shenoy, Saumya Rawat, Jun-Cheng Chen, Rama Chellappa:
Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection. CVPR Workshops 2020: 2648-2657
[c468]
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  - conf/cvpr/NaphadeWATCY0SC20
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Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CVPR Workshops 2020: 2665-2674
[c467]
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  - conf/cvpr/0013C20
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Amit Kumar, Rama Chellappa:
S²LD: Semi-Supervised Landmark Detection in Low Resolution Images and Impact on Face Verification. CVPR Workshops 2020: 3275-3283
[c466]
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  - conf/cvpr/PaisRGNCM20
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G. Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa, Pedro Miraldo:
3DRegNet: A Deep Neural Network for 3D Point Registration. CVPR 2020: 7191-7201
[c465]
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  - conf/cvpr/PengLLCZ20
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Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, S. Kevin Zhou:
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis. CVPR 2020: 7747-7756
[c464]
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  - conf/eccv/BansalZC20
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Ankan Bansal, Yuting Zhang, Rama Chellappa:
Visual Question Answering on Image Sets. ECCV (21) 2020: 51-67
[c463]
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  - conf/eccv/KhorramshahiPCC20
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Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa:
The Devil Is in the Details: Self-supervised Attention for Vehicle Re-identification. ECCV (14) 2020: 369-386
[c462]
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  - conf/fgr/0001SC20
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Chun Pong Lau, Hossein Souri, Rama Chellappa:
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence. FG 2020: 32-39
[c461]
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  - conf/fgr/DharBCGPC20
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Prithviraj Dhar, Ankan Bansal, Carlos Domingo Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa:
How are attributes expressed in face DCNNs? FG 2020: 85-92
[c460]
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  - conf/fgr/RobinsonY0SXSTT20
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Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. FG 2020: 857-862
[c459]
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  - conf/icb/DingZC20
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Hui Ding, Peng Zhou, Rama Chellappa:
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition. IJCB 2020: 1-9
[c458]
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  - conf/icbinb/KavalerovCC20
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Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
A study of quality and diversity in K+1 GANs. ICBINB@NeurIPS 2020: 129-135
[c457]
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  - conf/midl/PengLCZ20
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Cheng Peng, Wei-An Lin, Rama Chellappa, S. Kevin Zhou:
Towards multi-sequence MR image recovery from undersampled k-space data. MIDL 2020: 614-623
[c456]
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  - conf/nips/BalajiCF20
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Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. NeurIPS 2020
[c455]
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  - conf/nips/Lin00CF20
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Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. NeurIPS 2020
[c454]
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  - conf/wacv/GleasonS0CCC20
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Joshua Gleason, Steven Schwarcz, Rajeev Ranjan, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
Activity Detection in Untrimmed Videos Using Chunk-based Classifiers. WACV Workshops 2020: 107-116
[c453]
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  - conf/wacv/GleasonCC20
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Joshua Gleason, Carlos Domingo Castillo, Rama Chellappa:
Real-time Detection of Activities in Untrimmed Videos. WACV Workshops 2020: 117-125
[i99]
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  - journals/corr/abs-2002-06303
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Joseph P. Robinson, Yu Yin, Zaid Khan, Ming Shao, Siyu Xia, Michael Stopa, Samson Timoner, Matthew A. Turk, Rama Chellappa, Yun Fu:
Recognizing Families In the Wild (RFIW): The 4th Edition. CoRR abs/2002.06303 (2020)
[i98]
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  - journals/corr/abs-2004-04851
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Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Spatial Priming for Detecting Human-Object Interactions. CoRR abs/2004.04851 (2020)
[i97]
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  - journals/corr/abs-2004-06271
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Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa:
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification. CoRR abs/2004.06271 (2020)
[i96]
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  - journals/corr/abs-2004-14619
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Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty:
The 4th AI City Challenge. CoRR abs/2004.14619 (2020)
[i95]
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  - journals/corr/abs-2005-06040
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Hui Ding, Peng Zhou, Rama Chellappa:
Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition. CoRR abs/2005.06040 (2020)
[i94]
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  - journals/corr/abs-2006-07845
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Prithviraj Dhar, Joshua Gleason, Hossein Souri, Carlos Domingo Castillo, Rama Chellappa:
An adversarial learning algorithm for mitigating gender bias in face recognition. CoRR abs/2006.07845 (2020)
[i93]
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  - journals/corr/abs-2008-11976
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Ankan Bansal, Yuting Zhang, Rama Chellappa:
Visual Question Answering on Image Sets. CoRR abs/2008.11976 (2020)
[i92]
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  - journals/corr/abs-2009-02470
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Wei-An Lin, Chun Pong Lau, Alexander Levine, Rama Chellappa, Soheil Feizi:
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks. CoRR abs/2009.02470 (2020)
[i91]
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  - journals/corr/abs-2009-11921
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Pirazh Khorramshahi, Hossein Souri, Rama Chellappa, Soheil Feizi:
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue. CoRR abs/2009.11921 (2020)
[i90]
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  - journals/corr/abs-2010-05862
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Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation. CoRR abs/2010.05862 (2020)
[i89]
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  - journals/corr/abs-2010-08164
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Anshul Shah, Shlok Kumar Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose And Joint-Aware Action Recognition. CoRR abs/2010.08164 (2020)
[i88]
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  - journals/corr/abs-2012-02407
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Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, Shaohua Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. CoRR abs/2012.02407 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j262]
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Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
From BoW to CNN: Two Decades of Texture Representation for Texture Classification. Int. J. Comput. Vis. 127(1): 74-109 (2019)
[j261]
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Chen Change Loy, Xiaoming Liu, Tae-Kyun Kim, Fernando De la Torre, Rama Chellappa:
Editorial: Special Issue on Deep Learning for Face Analysis. Int. J. Comput. Vis. 127(6-7): 533-536 (2019)
[j260]
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Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Partial face detection in the mobile domain. Image Vis. Comput. 82: 1-17 (2019)
[j259]
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  - journals/pami/RanjanPC19
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Rajeev Ranjan, Vishal M. Patel, Rama Chellappa:
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 121-135 (2019)
[j258]
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Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa:
Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2287-2290 (2019)
[j257]
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Boyu Lu, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification. IEEE Trans. Biom. Behav. Identity Sci. 1(1): 42-55 (2019)
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Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
A Fast and Accurate System for Face Detection, Identification, and Verification. IEEE Trans. Biom. Behav. Identity Sci. 1(2): 82-96 (2019)
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Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. IEEE Trans. Biom. Behav. Identity Sci. 1(2): 97-108 (2019)
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Upal Mahbub, Jukka Komulainen, Denzil Ferreira, Rama Chellappa:
Continuous Authentication of Smartphones Based on Application Usage. IEEE Trans. Biom. Behav. Identity Sci. 1(3): 165-180 (2019)
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Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis:
Soft Sampling for Robust Object Detection. BMVC 2019: 225
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Jingxiao Zheng, Jun-Cheng Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa:
Hybrid Dictionary Learning and Matching for Video-based Face Verification. BTAS 2019: 1-10
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Pirazh Khorramshahi, Neehar Peri, Amit Kumar, Anshul Shah, Rama Chellappa:
Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding. CVPR Workshops 2019: 239-246
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Milind Naphade, Zheng Tang, Ming-Ching Chang, David C. Anastasiu, Anuj Sharma, Rama Chellappa, Shuo Wang, Pranamesh Chakraborty, Tingting Huang, Jenq-Neng Hwang, Siwei Lyu:
The 2019 AI City Challenge. CVPR Workshops 2019: 452-460
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Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa:
Learning Without Memorizing. CVPR 2019: 5138-5146
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Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Unsupervised Domain-Specific Deblurring via Disentangled Representations. CVPR 2019: 10225-10234
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Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. CVPR 2019: 10512-10521
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Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Domingo Castillo, Rama Chellappa:
Uncertainty Modeling of Contextual-Connections Between Tracklets for Unconstrained Video-Based Face Recognition. ICCV 2019: 703-712
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Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa:
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification. ICCV 2019: 6131-6140
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  - conf/iccv/BalajiCF19
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Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation. ICCV 2019: 6499-6507
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Maneet Singh, Mohit Chawla, Richa Singh, Mayank Vatsa, Rama Chellappa:
Disguised Faces in the Wild 2019. ICCV Workshops 2019: 542-550
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Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. ICML 2019: 414-423
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Arthita Ghosh, Max Ehrlich, Larry Davis, Rama Chellappa:
Unsupervised Super-Resolution of Satellite Imagery for High Fidelity Material Label Transfer. IGARSS 2019: 5144-5147
[c439]
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Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf:
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. IJCAI 2019: 1995-2001
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Joshua Gleason, Rajeev Ranjan, Steven Schwarcz, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos. WACV 2019: 141-150
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Prithviraj Dhar, Carlos Domingo Castillo, Rama Chellappa:
On Measuring the Iconicity of a Face. WACV 2019: 2137-2145
[i87]
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Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. CoRR abs/1902.00415 (2019)
[i86]
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  - journals/corr/abs-1903-01581
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Prithviraj Dhar, Carlos Domingo Castillo, Rama Chellappa:
On measuring the iconicity of a face. CoRR abs/1903.01581 (2019)
[i85]
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Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Unsupervised Domain-Specific Deblurring via Disentangled Representations. CoRR abs/1903.01594 (2019)
[i84]
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  - journals/corr/abs-1904-01701
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G. Dias Pais, Pedro Miraldo, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C. Nascimento, Rama Chellappa:
3DRegNet: A Deep Neural Network for 3D Point Registration. CoRR abs/1904.01701 (2019)
[i83]
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Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa:
Detecting Human-Object Interactions via Functional Generalization. CoRR abs/1904.03181 (2019)
[i82]
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  - journals/corr/abs-1905-02756
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Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Domingo Castillo, Rama Chellappa:
Uncertainty Modeling of Contextual-Connection between Tracklets for Unconstrained Video-based Face Recognition. CoRR abs/1905.02756 (2019)
[i81]
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  - journals/corr/abs-1905-03397
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Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa:
A Dual Path ModelWith Adaptive Attention For Vehicle Re-Identification. CoRR abs/1905.03397 (2019)
[i80]
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  - journals/corr/abs-1906-06804
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Ilya Kavalerov, Weilin Li, Wojciech Czaja, Rama Chellappa:
Three-Dimensional Fourier Scattering Transform and Classification of Hyperspectral Images. CoRR abs/1906.06804 (2019)
[i79]
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  - journals/corr/abs-1907-00273
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Wei-An Lin, Haofu Liao, Cheng Peng, Xiaohang Sun, Jingdan Zhang, Jiebo Luo, Rama Chellappa, Shaohua Kevin Zhou:
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction. CoRR abs/1907.00273 (2019)
[i78]
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Amit Kumar, Rama Chellappa:
Landmark Detection in Low Resolution Faces with Semi-Supervised Learning. CoRR abs/1907.13255 (2019)
[i77]
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  - journals/corr/abs-1908-05599
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Cheng Peng, Wei-An Lin, Haofu Liao, Rama Chellappa, Shaohua Kevin Zhou:
Deep Slice Interpolation via Marginal Super-Resolution, Fusion and Refinement. CoRR abs/1908.05599 (2019)
[i76]
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Cheng Peng, Wei-An Lin, Rama Chellappa, Shaohua Kevin Zhou:
Towards multi-sequence MR image recovery from undersampled k-space data. CoRR abs/1908.05615 (2019)
[i75]
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  - journals/corr/abs-1909-08675
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Pengcheng Xu, Prudhvi Gurram, Gene T. Whipps, Rama Chellappa:
Wasserstein Distance Based Domain Adaptation for Object Detection. CoRR abs/1909.08675 (2019)
[i74]
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  - journals/corr/abs-1910-03119
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Chun Pong Lau, Hossein Souri, Rama Chellappa:
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence. CoRR abs/1910.03119 (2019)
[i73]
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  - journals/corr/abs-1910-05657
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Prithviraj Dhar, Ankan Bansal, Carlos Domingo Castillo, Joshua Gleason, P. Jonathon Phillips, Rama Chellappa:
How are attributes expressed in face DCNNs? CoRR abs/1910.05657 (2019)
[i72]
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  - journals/corr/abs-1911-10291
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Wei-An Lin, Yogesh Balaji, Pouya Samangouei, Rama Chellappa:
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference. CoRR abs/1911.10291 (2019)
[i71]
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  - journals/corr/abs-1912-04216
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Ilya Kavalerov, Wojciech Czaja, Rama Chellappa:
cGANs with Multi-Hinge Loss. CoRR abs/1912.04216 (2019)
2018
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Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Ching-Hui Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa:
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks. Int. J. Comput. Vis. 126(2-4): 272-291 (2018)
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Wei-An Lin, Jun-Cheng Chen, Rajeev Ranjan, Ankan Bansal, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa:
Proximity-Aware Hierarchical Clustering of unconstrained faces. Image Vis. Comput. 77: 33-44 (2018)
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Amit Kumar, Azadeh Alavi, Rama Chellappa:
KEPLER: Simultaneous estimation of keypoints and 3D pose of unconstrained faces in a unified framework by learning efficient H-CNN regressors. Image Vis. Comput. 79: 49-62 (2018)
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Ching-Hui Chen, Vishal M. Patel, Rama Chellappa:
Learning from Ambiguously Labeled Face Images. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1653-1667 (2018)
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Rajeev Ranjan, Swami Sankaranarayanan, Ankan Bansal, Navaneeth Bodla, Jun-Cheng Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa:
Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans. IEEE Signal Process. Mag. 35(1): 66-83 (2018)
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Xiangyuan Lan, Shengping Zhang, Pong C. Yuen, Rama Chellappa:
Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker. IEEE Trans. Image Process. 27(4): 2022-2037 (2018)
[c436]
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  - conf/aaai/KabkabSC18
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Maya Kabkab, Pouya Samangouei, Rama Chellappa:
Task-Aware Compressed Sensing With Generative Adversarial Networks. AAAI 2018: 2297-2304
[c435]
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Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing Deep Networks Using Efficient Layerwise Adversarial Training. AAAI 2018: 4008-4015
[c434]
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Hui Ding, Kumar Sricharan, Rama Chellappa:
ExprGAN: Facial Expression Editing With Controllable Expression Intensity. AAAI 2018: 6781-6788
[c433]
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Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa:
A Deep Cascade Network for Unaligned Face Attribute Classification. AAAI 2018: 6789-6796
[c432]
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  - conf/aaai/HandCC18
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Emily M. Hand, Carlos Domingo Castillo, Rama Chellappa:
Doing the Best We Can With What We Have: Multi-Label Balancing With Selective Learning for Attribute Prediction. AAAI 2018: 6878-6885
[c431]
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Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa:
Nonlinear Subspace Feature Enhancement for Image Set Classification. ACCV (4) 2018: 142-158
[c430]
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  - conf/cvpr/KushwahaS0VRC18
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Vineet Kushwaha, Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Disguised Faces in the Wild. CVPR Workshops 2018: 1-9
[c429]
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  - conf/cvpr/BansalRCC18
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Ankan Bansal, Rajeev Ranjan, Carlos Domingo Castillo, Rama Chellappa:
Deep Features for Recognizing Disguised Faces in the Wild. CVPR Workshops 2018: 10-16
[c428]
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  - conf/cvpr/NaphadeCSAJCHW018
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Milind Naphade, Ming-Ching Chang, Anuj Sharma, David C. Anastasiu, Vamsi Jagarlamudi, Pranamesh Chakraborty, Tingting Huang, Shuo Wang, Ming-Yu Liu, Rama Chellappa, Jenq-Neng Hwang, Siwei Lyu:
The 2018 NVIDIA AI City Challenge. CVPR Workshops 2018: 53-60
[c427]
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Amit Kumar, Pirazh Khorramshahi, Wei-An Lin, Prithviraj Dhar, Jun-Cheng Chen, Rama Chellappa:
A Semi-Automatic 2D Solution for Vehicle Speed Estimation From Monocular Videos. CVPR Workshops 2018: 137-144
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Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry S. Davis, Rama Chellappa:
Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery. CVPR Workshops 2018: 257-261
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Suhas Lohit, Ankan Bansal, Nitesh Shroff, Jaishanker K. Pillai, Pavan K. Turaga, Rama Chellappa:
Predicting Dynamical Evolution of Human Activities From a Single Image. CVPR Workshops 2018: 383-392
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Amit Kumar, Rama Chellappa:
Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment. CVPR 2018: 430-439
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Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser Nam Lim, Rama Chellappa:
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation. CVPR 2018: 3752-3761
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Wei-An Lin, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
Deep Density Clustering of Unconstrained Faces. CVPR 2018: 8128-8137
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Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa:
Generate to Adapt: Aligning Domains Using Generative Adversarial Networks. CVPR 2018: 8503-8512
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Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran:
Zero-Shot Object Detection. ECCV (1) 2018: 397-414
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Navaneeth Bodla, Gang Hua, Rama Chellappa:
Semi-supervised FusedGAN for Conditional Image Generation. ECCV (5) 2018: 689-704
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Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Navaneeth Bodla, Rama Chellappa:
Deep Regionlets for Object Detection. ECCV (11) 2018: 827-844
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Jun-Cheng Chen, Wei-An Lin, Jingxiao Zheng, Rama Chellappa:
A Real-Time Multi-Task Single Shot Face Detector. ICIP 2018: 176-180
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Pouya Samangouei, Maya Kabkab, Rama Chellappa:
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. ICLR (Poster) 2018
[c415]
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Yogesh Balaji, Swami Sankaranarayanan, Rama Chellappa:
MetaReg: Towards Domain Generalization using Meta-Regularization. NeurIPS 2018: 1006-1016
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Emily M. Hand, Carlos Domingo Castillo, Rama Chellappa:
Predicting Facial Attributes in Video Using Temporal Coherence and Motion-Attention. WACV 2018: 84-92
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Pouya Samangouei, Rama Chellappa, Mahyar Najibi, Larry S. Davis:
Face-MagNet: Magnifying Feature Maps to Detect Small Faces. WACV 2018: 122-130
[i70]
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Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Segment-based Methods for Facial Attribute Detection from Partial Faces. CoRR abs/1801.03546 (2018)
[i69]
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Navaneeth Bodla, Gang Hua, Rama Chellappa:
Semi-supervised FusedGAN for Conditional Image Generation. CoRR abs/1801.05551 (2018)
[i68]
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Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
A Survey of Recent Advances in Texture Representation. CoRR abs/1801.10324 (2018)
[i67]
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Maya Kabkab, Pouya Samangouei, Rama Chellappa:
Task-Aware Compressed Sensing with Generative Adversarial Networks. CoRR abs/1802.01284 (2018)
[i66]
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Amit Kumar, Rama Chellappa:
Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment. CoRR abs/1802.06713 (2018)
[i65]
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Pouya Samangouei, Mahyar Najibi, Larry S. Davis, Rama Chellappa:
Face-MagNet: Magnifying Feature Maps to Detect Small Faces. CoRR abs/1803.05258 (2018)
[i64]
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  - journals/corr/abs-1804-01159
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Rajeev Ranjan, Ankan Bansal, Hongyu Xu, Swami Sankaranarayanan, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition. CoRR abs/1804.01159 (2018)
[i63]
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Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, Ajay Divakaran:
Zero-Shot Object Detection. CoRR abs/1804.04340 (2018)
[i62]
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Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa:
Cross-Domain Visual Recognition via Domain Adaptive Dictionary Learning. CoRR abs/1804.04687 (2018)
[i61]
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Pouya Samangouei, Maya Kabkab, Rama Chellappa:
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. CoRR abs/1805.06605 (2018)
[i60]
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  - journals/corr/abs-1806-06986
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Zhe Wu, Navaneeth Bodla, Bharat Singh, Mahyar Najibi, Rama Chellappa, Larry S. Davis:
Soft Sampling for Robust Object Detection. CoRR abs/1806.06986 (2018)
[i59]
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  - journals/corr/abs-1808-03319
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Upal Mahbub, Jukka Komulainen, Denzil Ferreira, Rama Chellappa:
Continuous Authentication of Smartphones Based on Application Usage. CoRR abs/1808.03319 (2018)
[i58]
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Boyu Lu, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification. CoRR abs/1808.05508 (2018)
[i57]
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  - journals/corr/abs-1809-07586
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Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
A Fast and Accurate System for Face Detection, Identification, and Verification. CoRR abs/1809.07586 (2018)
[i56]
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  - journals/corr/abs-1810-04147
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Yogesh Balaji, Hamed Hassani, Rama Chellappa, Soheil Feizi:
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs. CoRR abs/1810.04147 (2018)
[i55]
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  - journals/corr/abs-1811-08051
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Prithviraj Dhar, Rajat Vikram Singh, Kuan-Chuan Peng, Ziyan Wu, Rama Chellappa:
Learning without Memorizing. CoRR abs/1811.08051 (2018)
[i54]
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  - journals/corr/abs-1811-08496
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Joshua Gleason, Rajeev Ranjan, Steven Schwarcz, Carlos Domingo Castillo, Jun-Cheng Chen, Rama Chellappa:
A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos. CoRR abs/1811.08496 (2018)
[i53]
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  - journals/corr/abs-1811-08837
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Maneet Singh, Richa Singh, Mayank Vatsa, Nalini K. Ratha, Rama Chellappa:
Recognizing Disguised Faces in the Wild. CoRR abs/1811.08837 (2018)
[i52]
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  - journals/corr/abs-1811-11318
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Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Rama Chellappa:
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection. CoRR abs/1811.11318 (2018)
[i51]
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  - journals/corr/abs-1812-04058
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Jingxiao Zheng, Rajeev Ranjan, Ching-Hui Chen, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
An Automatic System for Unconstrained Video-Based Face Recognition. CoRR abs/1812.04058 (2018)
2017
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Kota Hara, Rama Chellappa:
Growing Regression Tree Forests by Classification for Continuous Object Pose Estimation. Int. J. Comput. Vis. 122(2): 292-312 (2017)
[j246]
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Pouya Samangouei, Vishal M. Patel, Rama Chellappa:
Facial attributes for active authentication on mobile devices. Image Vis. Comput. 58: 181-192 (2017)
[j245]
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Jie Chen, Vishal M. Patel, Li Liu, Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen, Rama Chellappa:
Robust local features for remote face recognition. Image Vis. Comput. 64: 34-46 (2017)
[j244]
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  - journals/pami/ZhengJC17
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Jingjing Zheng, Zhuolin Jiang, Rama Chellappa:
Submodular Attribute Selection for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(11): 2242-2255 (2017)
[j243]
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Ran He, Brian C. Lovell, Rama Chellappa, Anil K. Jain, Zhenan Sun:
Editorial: Special issue on ubiquitous biometrics. Pattern Recognit. 66: 1-3 (2017)
[j242]
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Heng Zhang, Vishal M. Patel, Rama Chellappa:
Low-Rank and Joint Sparse Representations for Multi-Modal Recognition. IEEE Trans. Image Process. 26(10): 4741-4752 (2017)
[j241]
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Xavier Gibert, Vishal M. Patel, Rama Chellappa:
Deep Multitask Learning for Railway Track Inspection. IEEE Trans. Intell. Transp. Syst. 18(1): 153-164 (2017)
[j240]
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Kaiqi Huang, Tieniu Tan, Stephen J. Maybank, Rama Chellappa, Jake Aggarval:
Guest Editorial Introduction to the Special Issue on Large-Scale Video Analytics for Enhanced Security: Algorithms and Systems. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 589-592 (2017)
[c412]
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  - conf/aaai/HandC17
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Emily M. Hand, Rama Chellappa:
Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification. AAAI 2017: 4068-4074
[c411]
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Xiangyuan Lan, Pong C. Yuen, Rama Chellappa:
Robust MIL-Based Feature Template Learning for Object Tracking. AAAI 2017: 4118-4125
[c410]
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Heng Zhang, Vishal M. Patel, Rama Chellappa:
Hierarchical Multimodal Metric Learning for Multimodal Classification. CVPR 2017: 2925-2933
[c409]
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  - conf/fgr/RanjanSCC17
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Rajeev Ranjan, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa:
An All-In-One Convolutional Neural Network for Face Analysis. FG 2017: 17-24
[c408]
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Hui Ding, Shaohua Kevin Zhou, Rama Chellappa:
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition. FG 2017: 118-126
[c407]
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Ching-Hui Chen, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
Video-Based Face Association and Identification. FG 2017: 149-156
[c406]
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  - conf/fgr/KumarAC17
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Amit Kumar, Azadeh Alavi, Rama Chellappa:
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. FG 2017: 258-265
[c405]
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Wei-An Lin, Jun-Cheng Chen, Rama Chellappa:
A Proximity-Aware Hierarchical Clustering of Faces. FG 2017: 294-301
[c404]
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Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Pooling Facial Segments to Face: The Shallow and Deep Ends. FG 2017: 634-641
[c403]
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  - conf/fgr/RealeLKC17
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Christopher Reale, Hyungtae Lee, Heesung Kwon, Rama Chellappa:
Deep Network Shrinkage Applied to Cross-Spectrum Face Recognition. FG 2017: 897-903
[c402]
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  - conf/icb/BansalNCRC17
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Ankan Bansal, Anirudh Nanduri, Carlos Domingo Castillo, Rajeev Ranjan, Rama Chellappa:
UMDFaces: An annotated face dataset for training deep networks. IJCB 2017: 464-473
[c401]
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  - conf/iccv/NajibiSCD17
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Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis:
SSH: Single Stage Headless Face Detector. ICCV 2017: 4885-4894
[c400]
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  - conf/iccv/BodlaSCD17
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Navaneeth Bodla, Bharat Singh, Rama Chellappa, Larry S. Davis:
Soft-NMS - Improving Object Detection with One Line of Code. ICCV 2017: 5562-5570
[c399]
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Ankan Bansal, Carlos Domingo Castillo, Rajeev Ranjan, Rama Chellappa:
The Do's and Don'ts for CNN-Based Face Verification. ICCV Workshops 2017: 2545-2554
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Navaneeth Bodla, Jingxiao Zheng, Hongyu Xu, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
Deep Heterogeneous Feature Fusion for Template-Based Face Recognition. WACV 2017: 586-595
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Boyu Lu, Jingxiao Zheng, Jun-Cheng Chen, Rama Chellappa:
Pose-Robust Face Verification by Exploiting Competing Tasks. WACV 2017: 1124-1132
[c396]
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Mohammed E. Fathy, Rama Chellappa:
Image Set Classification Using Sparse Bayesian Regression. WACV 2017: 1187-1196
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Jingxiao Zheng, Vishal M. Patel, Rama Chellappa:
Recent Developments in Video-Based Face Recognition. Handbook of Biometrics for Forensic Science 2017: 149-175
[i50]
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Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Pooling Facial Segments to Face: The Shallow and Deep Ends. CoRR abs/1701.08341 (2017)
[i49]
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Kota Hara, Raviteja Vemulapalli, Rama Chellappa:
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation. CoRR abs/1702.01499 (2017)
[i48]
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Ching-Hui Chen, Vishal M. Patel, Rama Chellappa:
Learning from Ambiguously Labeled Face Images. CoRR abs/1702.04455 (2017)
[i47]
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Navaneeth Bodla, Jingxiao Zheng, Hongyu Xu, Jun-Cheng Chen, Carlos Domingo Castillo, Rama Chellappa:
Deep Heterogeneous Feature Fusion for Template-Based Face Recognition. CoRR abs/1702.04471 (2017)
[i46]
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Amit Kumar, Azadeh Alavi, Rama Chellappa:
KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors. CoRR abs/1702.05085 (2017)
[i45]
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Wei-An Lin, Jun-Cheng Chen, Rama Chellappa:
A Proximity-Aware Hierarchical Clustering of Faces. CoRR abs/1703.04835 (2017)
[i44]
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Rajeev Ranjan, Carlos Domingo Castillo, Rama Chellappa:
L2-constrained Softmax Loss for Discriminative Face Verification. CoRR abs/1703.09507 (2017)
[i43]
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Swami Sankaranarayanan, Yogesh Balaji, Carlos Domingo Castillo, Rama Chellappa:
Generate To Adapt: Aligning Domains using Generative Adversarial Networks. CoRR abs/1704.01705 (2017)
[i42]
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Amit Kumar, Rama Chellappa:
A Convolution Tree with Deconvolution Branches: Exploiting Geometric Relationships for Single Shot Keypoint Detection. CoRR abs/1704.01880 (2017)
[i41]
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Upal Mahbub, Sayantan Sarkar, Rama Chellappa:
Partial Face Detection in the Mobile Domain. CoRR abs/1704.02117 (2017)
[i40]
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Navaneeth Bodla, Bharat Singh, Rama Chellappa, Larry S. Davis:
Improving Object Detection With One Line of Code. CoRR abs/1704.04503 (2017)
[i39]
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Ankan Bansal, Carlos Domingo Castillo, Rajeev Ranjan, Rama Chellappa:
The Do's and Don'ts for CNN-based Face Verification. CoRR abs/1705.07426 (2017)
[i38]
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Swami Sankaranarayanan, Arpit Jain, Rama Chellappa, Ser-Nam Lim:
Regularizing deep networks using efficient layerwise adversarial training. CoRR abs/1705.07819 (2017)
[i37]
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Sayantan Sarkar, Ankan Bansal, Upal Mahbub, Rama Chellappa:
UPSET and ANGRI : Breaking High Performance Image Classifiers. CoRR abs/1707.01159 (2017)
[i36]
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Sumit Shekhar, Vishal M. Patel, Rama Chellappa:
Synthesis-based Robust Low Resolution Face Recognition. CoRR abs/1707.02733 (2017)
[i35]
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Mahyar Najibi, Pouya Samangouei, Rama Chellappa, Larry S. Davis:
SSH: Single Stage Headless Face Detector. CoRR abs/1708.03979 (2017)
[i34]
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Hui Ding, Kumar Sricharan, Rama Chellappa:
ExprGAN: Facial Expression Editing with Controllable Expression Intensity. CoRR abs/1709.03842 (2017)
[i33]
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Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa:
A Deep Cascade Network for Unaligned Face Attribute Classification. CoRR abs/1709.03851 (2017)
[i32]
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  - journals/corr/abs-1711-06969
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Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain, Ser-Nam Lim, Rama Chellappa:
Unsupervised Domain Adaptation for Semantic Segmentation with GANs. CoRR abs/1711.06969 (2017)
[i31]
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Rajeev Ranjan, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa:
Improving Network Robustness against Adversarial Attacks with Compact Convolution. CoRR abs/1712.00699 (2017)
[i30]
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Hongyu Xu, Xutao Lv, Xiaoyu Wang, Zhou Ren, Rama Chellappa:
Deep Regionlets for Object Detection. CoRR abs/1712.02408 (2017)
2016
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Stefanos Zafeiriou, Guoying Zhao, Matti Pietikäinen, Rama Chellappa, Irene Kotsia, Jeffrey F. Cohn:
Editorial of special issue on spontaneous facial behaviour analysis. Comput. Vis. Image Underst. 147: 50-51 (2016)
[j238]
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Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa:
R3DG features: Relative 3D geometry-based skeletal representations for human action recognition. Comput. Vis. Image Underst. 152: 155-166 (2016)
[j237]
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Garrett A. Warnell, Philip David, Rama Chellappa:
Ray Saliency: Bottom-Up Visual Saliency for a Rotating and Zooming Camera. Int. J. Comput. Vis. 116(2): 174-189 (2016)
[j236]
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Rama Chellappa:
The changing fortunes of pattern recognition and computer vision. Image Vis. Comput. 55: 3-5 (2016)
[j235]
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Xiantong Zhen, Ling Shao, Stephen J. Maybank, Rama Chellappa:
Handcrafted vs. learned representations for human action recognition. Image Vis. Comput. 55: 39-41 (2016)
[j234]
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Kaustav Nandy, Rama Chellappa, Amit Kumar, Stephen J. Lockett:
Segmentation of Nuclei From 3D Microscopy Images of Tissue via Graphcut Optimization. IEEE J. Sel. Top. Signal Process. 10(1): 140-150 (2016)
[j233]
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Ming Du, Rama Chellappa:
Face Association for Videos Using Conditional Random Fields and Max-Margin Markov Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1762-1773 (2016)
[j232]
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Rama Chellappa, Anders Heyden, Denis Laurendeau, Michael Felsberg, Magnus Borga:
Special issue on ICPR 2014 awarded papers. Pattern Recognit. Lett. 72: 1-3 (2016)
[j231]
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Vishal M. Patel, Rama Chellappa, Deepak Chandra, Brandon Barbello:
Continuous User Authentication on Mobile Devices: Recent progress and remaining challenges. IEEE Signal Process. Mag. 33(4): 49-61 (2016)
[j230]
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Jingjing Zheng, Zhuolin Jiang, Rama Chellappa:
Cross-View Action Recognition via Transferable Dictionary Learning. IEEE Trans. Image Process. 25(6): 2542-2556 (2016)
[c395]
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  - conf/btas/ChenKRPAC16
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Jun-Cheng Chen, Amit Kumar, Rajeev Ranjan, Vishal M. Patel, Azadeh Alavi, Rama Chellappa:
A cascaded convolutional neural network for age estimation of unconstrained faces. BTAS 2016: 1-8
[c394]
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Upal Mahbub, Sayantan Sarkar, Vishal M. Patel, Rama Chellappa:
Active user authentication for smartphones: A challenge data set and benchmark results. BTAS 2016: 1-8
[c393]
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  - conf/btas/SamangoueiC16
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Pouya Samangouei, Rama Chellappa:
Convolutional neural networks for attribute-based active authentication on mobile devices. BTAS 2016: 1-8
[c392]
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Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa:
Triplet probabilistic embedding for face verification and clustering. BTAS 2016: 1-8
[c391]
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  - conf/cvpr/RealeNKC16
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Christopher Reale, Nasser M. Nasrabadi, Heesung Kwon, Rama Chellappa:
Seeing the Forest from the Trees: A Holistic Approach to Near-Infrared Heterogeneous Face Recognition. CVPR Workshops 2016: 320-328
[c390]
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Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa:
Gaussian Conditional Random Field Network for Semantic Segmentation. CVPR 2016: 3224-3233
[c389]
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Raviteja Vemulapalli, Rama Chellappa:
Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data. CVPR 2016: 4471-4479
[c388]
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  - conf/globalsip/RealeNC16
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Christopher Reale, Nasser M. Nasrabadi, Rama Chellappa:
An analysis of the robustness of deep face recognition networks to noisy training labels. GlobalSIP 2016: 1192-1196
[c387]
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Jun-Cheng Chen, Jingxiao Zheng, Vishal M. Patel, Rama Chellappa:
Fisher vector encoded deep convolutional features for unconstrained face verification. ICIP 2016: 2981-2985
[c386]
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Upal Mahbub, Vishal M. Patel, Deepak Chandra, Brandon Barbello, Rama Chellappa:
Partial face detection for continuous authentication. ICIP 2016: 2991-2995
[c385]
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  - conf/icpr/StearnsOCFRCF16
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Lee Stearns, Uran Oh, Bridget J. Cheng, Leah Findlater, David Ross, Rama Chellappa, Jon E. Froehlich:
Localization of skin features on the hand and wrist from small image patches. ICPR 2016: 1003-1010
[c384]
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Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa:
Template regularized sparse coding for face verification. ICPR 2016: 1448-1454
[c383]
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  - conf/icpr/GhoshC16
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Arthita Ghosh, Rama Chellappa:
Deep feature extraction in the DCT domain. ICPR 2016: 3536-3541
[c382]
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  - conf/icpr/KabkabHC16
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Maya Kabkab, Emily M. Hand, Rama Chellappa:
On the size of Convolutional Neural Networks and generalization performance. ICPR 2016: 3572-3577
[c381]
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Jingxiao Zheng, Jun-Cheng Chen, Navaneeth Bodla, Vishal M. Patel, Rama Chellappa:
VLAD encoded Deep Convolutional features for unconstrained face verification. ICPR 2016: 4101-4106
[c380]
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  - conf/icpr/LuCC16
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Boyu Lu, Jun-Cheng Chen, Rama Chellappa:
Regularized metric adaptation for unconstrained face verification. ICPR 2016: 4112-4117
[c379]
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Mohammed E. Fathy, Azadeh Alavi, Rama Chellappa:
Discriminative Log-Euclidean Feature Learning for Sparse Representation-Based Recognition of Faces from Videos. IJCAI 2016: 3359-3367
[c378]
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Sayantan Sarkar, Vishal M. Patel, Rama Chellappa:
Deep feature-based face detection on mobile devices. ISBA 2016: 1-8
[c377]
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Rama Chellappa, Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Vishal M. Patel, Carlos Domingo Castillo:
Towards the design of an end-to-end automated system for image and video-based recognition. ITA 2016: 1-7
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Upal Mahbub, Rama Chellappa:
PATH: Person authentication using trace histories. UEMCON 2016: 1-8
[c375]
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Jun-Cheng Chen, Vishal M. Patel, Rama Chellappa:
Unconstrained face verification using deep CNN features. WACV 2016: 1-9
[c374]
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Soumyadip Sengupta, Jun-Cheng Chen, Carlos Domingo Castillo, Vishal M. Patel, Rama Chellappa, David W. Jacobs:
Frontal to profile face verification in the wild. WACV 2016: 1-9
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Hongyu Xu, Jingjing Zheng, Azadeh Alavi, Rama Chellappa:
Learning a structured dictionary for video-based face recognition. WACV 2016: 1-9
[i29]
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Rama Chellappa, Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Vishal M. Patel, Carlos Domingo Castillo:
Towards the Design of an End-to-End Automated System for Image and Video-based Recognition. CoRR abs/1601.07883 (2016)
[i28]
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Amit Kumar, Rajeev Ranjan, Vishal M. Patel, Rama Chellappa:
Face Alignment by Local Deep Descriptor Regression. CoRR abs/1601.07950 (2016)
[i27]
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Swami Sankaranarayanan, Azadeh Alavi, Rama Chellappa:
Triplet Similarity Embedding for Face Verification. CoRR abs/1602.03418 (2016)
[i26]
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Azadeh Alavi, Vishal M. Patel, Rama Chellappa:
Distance Preserving Projection Space of Symmetric Positive Definite Manifolds. CoRR abs/1602.03570 (2016)
[i25]
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Sayantan Sarkar, Vishal M. Patel, Rama Chellappa:
Deep Feature-based Face Detection on Mobile Devices. CoRR abs/1602.04868 (2016)
[i24]
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Rajeev Ranjan, Vishal M. Patel, Rama Chellappa:
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition. CoRR abs/1603.01249 (2016)
[i23]
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Upal Mahbub, Vishal M. Patel, Deepak Chandra, Brandon Barbello, Rama Chellappa:
Partial Face Detection for Continuous Authentication. CoRR abs/1603.09364 (2016)
[i22]
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Swami Sankaranarayanan, Azadeh Alavi, Carlos Domingo Castillo, Rama Chellappa:
Triplet Probabilistic Embedding for Face Verification and Clustering. CoRR abs/1604.05417 (2016)
[i21]
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Emily M. Hand, Rama Chellappa:
Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification. CoRR abs/1604.07360 (2016)
[i20]
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Pouya Samangouei, Rama Chellappa:
Convolutional Neural Networks for Attribute-based Active Authentication on Mobile Devices. CoRR abs/1604.08865 (2016)
[i19]
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Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Ching-Hui Chen, Vishal M. Patel, Carlos Domingo Castillo, Rama Chellappa:
An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks. CoRR abs/1605.02686 (2016)
[i18]
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Maya Kabkab, Azadeh Alavi, Rama Chellappa:
DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size. CoRR abs/1606.04232 (2016)
[i17]
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Hui Ding, Shaohua Kevin Zhou, Rama Chellappa:
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition. CoRR abs/1609.06591 (2016)
[i16]
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Upal Mahbub, Sayantan Sarkar, Vishal M. Patel, Rama Chellappa:
Active User Authentication for Smartphones: A Challenge Data Set and Benchmark Results. CoRR abs/1610.07930 (2016)
[i15]
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Upal Mahbub, Rama Chellappa:
PATH: Person Authentication using Trace Histories. CoRR abs/1610.07935 (2016)
[i14]
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Rajeev Ranjan, Swami Sankaranarayanan, Carlos Domingo Castillo, Rama Chellappa:
An All-In-One Convolutional Neural Network for Face Analysis. CoRR abs/1611.00851 (2016)
[i13]
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Ankan Bansal, Anirudh Nanduri, Carlos Domingo Castillo, Rajeev Ranjan, Rama Chellappa:
UMDFaces: An Annotated Face Dataset for Training Deep Networks. CoRR abs/1611.01484 (2016)
2015
[j229]
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Yi-Chen Chen, Vishal M. Patel, P. Jonathon Phillips, Rama Chellappa:
Dictionary-Based Face and Person Recognition From Unconstrained Video. IEEE Access 3: 1783-1798 (2015)
[j228]
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  - journals/ftcgv/GopalanLPC15
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Raghuraman Gopalan, Ruonan Li, Vishal M. Patel, Rama Chellappa:
Domain Adaptation for Visual Recognition. Found. Trends Comput. Graph. Vis. 8(4): 285-378 (2015)
[j227]
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Ashish Shrivastava, Vishal M. Patel, Jaishanker K. Pillai, Rama Chellappa:
Generalized Dictionaries for Multiple Instance Learning. Int. J. Comput. Vis. 114(2-3): 288-305 (2015)
[j226]
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  - journals/pr/BatoolC15
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Nazre Batool, Rama Chellappa:
Fast detection of facial wrinkles based on Gabor features using image morphology and geometric constraints. Pattern Recognit. 48(3): 642-658 (2015)
[j225]
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Yi-Chen Chen, Vishal M. Patel, Rama Chellappa, P. Jonathon Phillips:
Salient views and view-dependent dictionaries for object recognition. Pattern Recognit. 48(10): 3053-3066 (2015)
[j224]
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Ashish Shrivastava, Vishal M. Patel, Rama Chellappa:
Non-linear dictionary learning with partially labeled data. Pattern Recognit. 48(11): 3283-3292 (2015)
[j223]
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  - journals/spm/PatelGLC15
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Vishal M. Patel, Raghuraman Gopalan, Ruonan Li, Rama Chellappa:
Visual Domain Adaptation: A survey of recent advances. IEEE Signal Process. Mag. 32(3): 53-69 (2015)
[j222]
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Vishal M. Patel, Nalini K. Ratha, Rama Chellappa:
Cancelable Biometrics: A review. IEEE Signal Process. Mag. 32(5): 54-65 (2015)
[j221]
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  - journals/tip/ShekharPNC15
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Sumit Shekhar, Vishal M. Patel, Hien Van Nguyen, Rama Chellappa:
Coupled Projections for Adaptation of Dictionaries. IEEE Trans. Image Process. 24(10): 2941-2954 (2015)
[j220]
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Garrett A. Warnell, Sourabh Bhattacharya, Rama Chellappa, Tamer Basar:
Adaptive-Rate Compressive Sensing Using Side Information. IEEE Trans. Image Process. 24(11): 3846-3857 (2015)
[j219]
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Qiang Qiu, Rama Chellappa:
Compositional Dictionaries for Domain Adaptive Face Recognition. IEEE Trans. Image Process. 24(12): 5152-5165 (2015)
[j218]
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Hien Van Nguyen, Huy Tho Ho, Vishal M. Patel, Rama Chellappa:
DASH-N: Joint Hierarchical Domain Adaptation and Feature Learning. IEEE Trans. Image Process. 24(12): 5479-5491 (2015)
[j217]
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Xiangyuan Lan, Andy Jinhua Ma, Pong C. Yuen, Rama Chellappa:
Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking. IEEE Trans. Image Process. 24(12): 5826-5841 (2015)
[c372]
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  - conf/assets/FindlaterSDORCF15
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Leah Findlater, Lee Stearns, Ruofei Du, Uran Oh, David Ross, Rama Chellappa, Jon Froehlich:
Supporting Everyday Activities for Persons with Visual Impairments Through Computer Vision-Augmented Touch. ASSETS 2015: 383-384
[c371]
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Hongyu Xu, Jingjing Zheng, Rama Chellappa:
Bridging the Domain Shift by Domain Adaptive Dictionary Learning. BMVC 2015: 96.1-96.12
[c370]
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Boyu Lu, Rama Chellappa, Nasser M. Nasrabadi:
Incremental Dictionary Learning for Unsupervised Domain Adaptation. BMVC 2015: 108.1-108.12
[c369]
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Ching-Hui Chen, Rama Chellappa:
Character Identification in TV-series via Non-local Cost Aggregation. BMVC 2015: 119.1-119.11
[c368]
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Jun-Cheng Chen, Swami Sankaranarayanan, Vishal M. Patel, Rama Chellappa:
Unconstrained face verification using fisher vectors computed from frontalized faces. BTAS 2015: 1-8
[c367]
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Rajeev Ranjan, Vishal M. Patel, Rama Chellappa:
A deep pyramid Deformable Part Model for face detection. BTAS 2015: 1-8
[c366]
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  - conf/btas/SamangoueiPC15
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Pouya Samangouei, Vishal M. Patel, Rama Chellappa:
Attribute-based continuous user authentication on mobile devices. BTAS 2015: 1-8
[c365]
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  - conf/cvpr/ShrivastavaRSCD15
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Ashish Shrivastava, Mohammad Rastegari, Sumit Shekhar, Rama Chellappa, Larry S. Davis:
Class consistent multi-modal fusion with binary features. CVPR 2015: 2282-2291
[c364]
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Ching-Hui Chen, Vishal M. Patel, Rama Chellappa:
Matrix completion for resolving label ambiguity. CVPR 2015: 4110-4118
[c363]
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  - conf/fgr/ZhangPC15
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Heng Zhang, Vishal M. Patel, Rama Chellappa:
Robust multimodal recognition via multitask multivariate low-rank representations. FG 2015: 1-8
[c362]
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Heng Zhang, Vishal M. Patel, Sumit Shekhar, Rama Chellappa:
Domain adaptive sparse representation-based classification. FG 2015: 1-8
[c361]
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  - conf/icassp/FathyPC15
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Mohammed E. Fathy, Vishal M. Patel, Rama Chellappa:
Face-based Active Authentication on mobile devices. ICASSP 2015: 1687-1691
[c360]
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  - conf/iccvw/GibertPC15
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Xavier Gibert, Vishal M. Patel, Rama Chellappa:
Sequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection. ICCV Workshops 2015: 131-138
[c359]
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Rajeev Ranjan, Sabrina Zhou, Jun-Cheng Chen, Amit Kumar, Azadeh Alavi, Vishal M. Patel, Rama Chellappa:
Unconstrained Age Estimation with Deep Convolutional Neural Networks. ICCV Workshops 2015: 351-359
[c358]
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  - conf/iccvw/ChenRKCPC15
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Jun-Cheng Chen, Rajeev Ranjan, Amit Kumar, Ching-Hui Chen, Vishal M. Patel, Rama Chellappa:
An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks. ICCV Workshops 2015: 360-368
[c357]
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Heng Zhang, Vishal M. Patel, Rama Chellappa:
Multitask multivariate common sparse representations for robust multimodal biometrics recognition. ICIP 2015: 202-206
[c356]
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Xavier Giben, Vishal M. Patel, Rama Chellappa:
Material classification and semantic segmentation of railway track images with deep convolutional neural networks. ICIP 2015: 621-625
[c355]
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Jun-Cheng Chen, Vishal M. Patel, Rama Chellappa:
Landmark-based fisher vector representation for video-based face verification. ICIP 2015: 2705-2709
[c354]
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Swami Sankaranarayanan, Vishal M. Patel, Rama Chellappa:
3D facial model synthesis using coupled dictionaries. ICIP 2015: 3896-3900
[c353]
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  - conf/icip/WarnellPC15
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Garrett A. Warnell, Vishal M. Patel, Rama Chellappa:
Integrability-regularized phase unwrapping via sparse error correction. ICIP 2015: 4887-4891
[c352]
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  - conf/isbi/NandyGCL15
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Kaustav Nandy, Prabhakar R. Gudla, Rama Chellappa, Stephen J. Lockett:
Probabilistic edge detection in 3D optical microscopy images of tissue samples. ISBI 2015: 1462-1465
[c351]
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Heng Zhang, Vishal M. Patel, Mohammed E. Fathy, Rama Chellappa:
Touch Gesture-Based Active User Authentication Using Dictionaries. WACV 2015: 207-214
[c350]
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Xavier Gibert, Vishal M. Patel, Rama Chellappa:
Robust Fastener Detection for Autonomous Visual Railway Track Inspection. WACV 2015: 694-701
[r9]
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  - reference/bio/ChellappaAZ15
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Rama Chellappa, Gaurav Aggarwal, Shaohua Kevin Zhou:
Face Recognition, Video-Based. Encyclopedia of Biometrics 2015: 514-521
[r8]
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Rama Chellappa, Ashok Veeraraghavan, Narayanan Ramanathan:
Gait Biometrics, Overview. Encyclopedia of Biometrics 2015: 783-789
[r7]
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Vishal M. Patel, Jie Ni, Rama Chellappa:
Remote Face Recognition. Encyclopedia of Biometrics 2015: 1316-1321
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Rama Chellappa, Aswin C. Sankaranarayanan:
Surveillance. Encyclopedia of Biometrics 2015: 1511-1515
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Jun-Cheng Chen, Vishal M. Patel, Rama Chellappa:
Unconstrained Face Verification using Deep CNN Features. CoRR abs/1508.01722 (2015)
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Rajeev Ranjan, Vishal M. Patel, Rama Chellappa:
A Deep Pyramid Deformable Part Model for Face Detection. CoRR abs/1508.04389 (2015)
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Xavier Gibert, Vishal M. Patel, Rama Chellappa:
Deep Multi-task Learning for Railway Track Inspection. CoRR abs/1509.05267 (2015)
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Xavier Gibert, Vishal M. Patel, Rama Chellappa:
Sequential Score Adaptation with Extreme Value Theory for Robust Railway Track Inspection. CoRR abs/1510.05822 (2015)
2014
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Ching-Hui Chen, Julien Favre, Gregorij Kurillo, Thomas P. Andriacchi, Ruzena Bajcsy, Rama Chellappa:
Camera Networks for Healthcare, Teleimmersion, and Surveillance. Computer 47(5): 26-36 (2014)
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Xavier Gibert, Vishal M. Patel, Demetrio Labate, Rama Chellappa:
Discrete shearlet transform on GPU with applications in anomaly detection and denoising. EURASIP J. Adv. Signal Process. 2014: 64 (2014)
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Dong Xu, Rama Chellappa, Trevor Darrell, Hal Daumé III:
Guest Editor's Introduction to the Special Issue on Domain Adaptation for Vision Applications. Int. J. Comput. Vis. 109(1-2): 1-2 (2014)
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Jaishanker K. Pillai, Maria Puertas, Rama Chellappa:
Cross-Sensor Iris Recognition through Kernel Learning. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 73-85 (2014)
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Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 99-112 (2014)
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Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Joint Sparse Representation for Robust Multimodal Biometrics Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 113-126 (2014)
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Qiang Qiu, Vishal M. Patel, Rama Chellappa:
Information-Theoretic Dictionary Learning for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2173-2184 (2014)
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Raghuraman Gopalan, Ruonan Li, Rama Chellappa:
Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2288-2302 (2014)
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Mohammed E. Fathy, Vishal M. Patel, Tom Yeh, Yangmuzi Zhang, Rama Chellappa, Larry S. Davis:
Screen-based active user authentication. Pattern Recognit. Lett. 42: 122-127 (2014)
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Ruonan Li, Pavan K. Turaga, Anuj Srivastava, Rama Chellappa:
Differential geometric representations and algorithms for some pattern recognition and computer vision problems. Pattern Recognit. Lett. 43: 3-16 (2014)
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Vishal M. Patel, Glenn R. Easley, Rama Chellappa, Nasser M. Nasrabadi:
Separated Component-Based Restoration of Speckled SAR Images. IEEE Trans. Geosci. Remote. Sens. 52(2): 1019-1029 (2014)
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Yi-Chen Chen, Vishal M. Patel, Rama Chellappa, P. Jonathon Phillips:
Ambiguously Labeled Learning Using Dictionaries. IEEE Trans. Inf. Forensics Secur. 9(12): 2076-2088 (2014)
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Ming Du, Aswin C. Sankaranarayanan, Rama Chellappa:
Robust Face Recognition From Multi-View Videos. IEEE Trans. Image Process. 23(3): 1105-1117 (2014)
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Ashish Shrivastava, Vishal M. Patel, Ramalingam Chellappa:
Multiple Kernel Learning for Sparse Representation-Based Classification. IEEE Trans. Image Process. 23(7): 3013-3024 (2014)
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Sima Taheri, Qiang Qiu, Rama Chellappa:
Structure-Preserving Sparse Decomposition for Facial Expression Analysis. IEEE Trans. Image Process. 23(8): 3590-3603 (2014)
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Nazre Batool, Rama Chellappa:
Detection and Inpainting of Facial Wrinkles Using Texture Orientation Fields and Markov Random Field Modeling. IEEE Trans. Image Process. 23(9): 3773-3788 (2014)
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Sourabh Bhattacharya, Garrett A. Warnell, Rama Chellappa, Tamer Basar:
Vision-guided feedback control of a mobile robot with compressive measurements and side information. ACC 2014: 97-102
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Ming Du, Rama Chellappa:
Video-Based Face Recognition Using the Intra-Personal/Extra-Personal Difference Dictionary. BMVC 2014
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Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa:
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group. CVPR 2014: 588-595
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Kota Hara, Rama Chellappa:
Growing Regression Forests by Classification: Applications to Object Pose Estimation. ECCV (2) 2014: 552-567
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Lee Stearns, Ruofei Du, Uran Oh, Yumeng Wang, Leah Findlater, Rama Chellappa, Jon E. Froehlich:
The Design and Preliminary Evaluation of a Finger-Mounted Camera and Feedback System to Enable Reading of Printed Text for the Blind. ECCV Workshops (3) 2014: 615-631
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Chan-Su Lee, Rama Chellappa:
Sparse localized facial motion dictionary learning for facial expression recognition. ICASSP 2014: 3548-3552
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Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa:
Dictionary-based multiple instance learning. ICIP 2014: 160-164
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Christopher Reale, Nasser M. Nasrabadi, Rama Chellappa:
Coupled dictionaries for thermal to visible face recognition. ICIP 2014: 328-332
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Jun-Cheng Chen, Vishal M. Patel, Huy Tho Ho, Rama Chellappa:
Dictionary-based video face recognition using dense multi-scale facial landmark features. ICIP 2014: 733-737
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Sumit Shekhar, Vishal M. Patel, Rama Chellappa:
Analysis sparse coding models for image-based classification. ICIP 2014: 5207-5211
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Sumit Shekhar, Nitesh Shroff, Rama Chellappa:
Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation. ICVGIP 2014: 16:1-16:8
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David A. Shaw, Rama Chellappa:
Domain adaptation methods for robust pattern recognition. ITA 2014: 1-7
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Esther Vasiete, Yan Chen, Ian Char, Tom Yeh, Vishal M. Patel, Larry S. Davis, Rama Chellappa:
Toward a non-intrusive, physio- behavioral biometric for smartphones. Mobile HCI 2014: 501-506
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Jingjing Zheng, Zhuolin Jiang, Rama Chellappa, P. Jonathon Phillips:
Submodular Attribute Selection for Action Recognition in Video. NIPS 2014: 1341-1349
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Yi-Chen Chen, Vishal M. Patel, Rama Chellappa, P. Jonathon Phillips:
Adaptive representations for video-based face recognition across pose. WACV 2014: 984-991
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Kaushik Mitra, Priyanka Vageeswaran, Rama Chellappa:
Direct recognition of motion-blurred faces. Motion Deblurring 2014: 246-257
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Qiang Qiu, Jie Ni, Rama Chellappa:
Dictionary-Based Domain Adaptation Methods for the Re-identification of Faces. Person Re-Identification 2014: 269-285
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A. N. Rajagopalan, Rama Chellappa:
Motion Deblurring: Algorithms and Systems. Cambridge University Press 2014, ISBN 9781107360181 [contents]
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Rama Chellappa, Pavan K. Turaga:
Feature Selection. Computer Vision, A Reference Guide 2014: 291-294
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Garrett A. Warnell, Sourabh Bhattacharya, Rama Chellappa, Tamer Basar:
Adaptive-Rate Compressive Sensing Using Side Information. CoRR abs/1401.0583 (2014)
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Raviteja Vemulapalli, Vinay Praneeth Boda, Rama Chellappa:
MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization. CoRR abs/1410.4470 (2014)
2013
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Vishal M. Patel, Rama Chellappa:
Sparse Representations and Compressive Sensing for Imaging and Vision. Springer Briefs in Electrical and Computer Engineering, Springer 2013, ISBN 978-1-4614-6380-1, pp. i-x, 1-102
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Rama Chellappa, Baba C. Vemuri:
Special Section in Celebration of Professor J.K. Aggarwal. Comput. Vis. Image Underst. 117(10): 1203 (2013)
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Ruonan Li, Rama Chellappa, Shaohua Kevin Zhou:
Recognizing Interactive Group Activities Using Temporal Interaction Matrices and Their Riemannian Statistics. Int. J. Comput. Vis. 101(2): 305-328 (2013)
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Vishal M. Patel, Tom Yeh, Mohammed E. Fathy, Yangmuzi Zhang, Yan Chen, Rama Chellappa, Larry S. Davis:
Screen Fingerprints: A Novel Modality for Active Authentication. IT Prof. 15(4): 38-42 (2013)
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Venkatesh Saligrama, Ery Arias-Castro, Rama Chellappa, Alfred O. Hero III, Robert D. Nowak, Venugopal V. Veeravalli:
Introduction to the issue on anomalous pattern discovery for spatial, temporal, networked, and high-dimensional signals. IEEE J. Sel. Top. Signal Process. 7(1): 1-3 (2013)
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Ruonan Li, Rama Chellappa:
Spatiotemporal Alignment of Visual Signals on a Special Manifold. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 697-715 (2013)
[j195]
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Sima Taheri, Aswin C. Sankaranarayanan, Rama Chellappa:
Joint Albedo Estimation and Pose Tracking from Video. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1674-1689 (2013)
[j194]
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David A. Shaw, Rama Chellappa:
Regression on manifolds using data-dependent regularization with applications in computer vision. Stat. Anal. Data Min. 6(6): 519-528 (2013)
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Aswin C. Sankaranarayanan, Pavan K. Turaga, Rama Chellappa, Richard G. Baraniuk:
Compressive Acquisition of Linear Dynamical Systems. SIAM J. Imaging Sci. 6(4): 2109-2133 (2013)
[j192]
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Sima Taheri, Vishal M. Patel, Rama Chellappa:
Component-Based Recognition of Facesand Facial Expressions. IEEE Trans. Affect. Comput. 4(4): 360-371 (2013)
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Noboru Babaguchi, Andrea Cavallaro, Rama Chellappa, Frédéric Dufaux, Liang Wang:
Guest Editorial: Special issue on intelligent video surveillance for public security and personal privacy. IEEE Trans. Inf. Forensics Secur. 8(10): 1559-1561 (2013)
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Priyanka Vageeswaran, Kaushik Mitra, Rama Chellappa:
Blur and Illumination Robust Face Recognition via Set-Theoretic Characterization. IEEE Trans. Image Process. 22(4): 1362-1372 (2013)
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Huy Tho Ho, Rama Chellappa:
Pose-Invariant Face Recognition Using Markov Random Fields. IEEE Trans. Image Process. 22(4): 1573-1584 (2013)
[j188]
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Wilman W. W. Zou, Pong C. Yuen, Rama Chellappa:
Low-Resolution Face Tracker Robust to Illumination Variations. IEEE Trans. Image Process. 22(5): 1726-1739 (2013)
[j187]
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Yi-Chen Chen, Challa S. Sastry, Vishal M. Patel, P. Jonathon Phillips, Rama Chellappa:
In-Plane Rotation and Scale Invariant Clustering Using Dictionaries. IEEE Trans. Image Process. 22(6): 2166-2180 (2013)
[j186]
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Channarayapatna Shivaram Vijay, Chandramouli Paramanand, Ambasamudram Narayanan Rajagopalan, Rama Chellappa:
Non-Uniform Deblurring in HDR Image Reconstruction. IEEE Trans. Image Process. 22(10): 3739-3750 (2013)
[j185]
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Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Design of Non-Linear Kernel Dictionaries for Object Recognition. IEEE Trans. Image Process. 22(12): 5123-5135 (2013)
[j184]
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Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa:
Analysis of Sparse Regularization Based Robust Regression Approaches. IEEE Trans. Signal Process. 61(5): 1249-1257 (2013)
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Tao Wu, P. Jonathon Phillips, Rama Chellappa:
Propagation of facial identities in a social network. BTAS 2013: 1-8
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Yi-Chen Chen, Vishal M. Patel, Jaishanker K. Pillai, Rama Chellappa, P. Jonathon Phillips:
Dictionary Learning from Ambiguously Labeled Data. CVPR 2013: 353-360
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Sumit Shekhar, Vishal M. Patel, Hien Van Nguyen, Rama Chellappa:
Generalized Domain-Adaptive Dictionaries. CVPR 2013: 361-368
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Jie Ni, Qiang Qiu, Rama Chellappa:
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation. CVPR 2013: 692-699
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Raviteja Vemulapalli, Jaishanker K. Pillai, Rama Chellappa:
Kernel Learning for Extrinsic Classification of Manifold Features. CVPR 2013: 1782-1789
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Kota Hara, Rama Chellappa:
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation. CVPR 2013: 3390-3397
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Nazre Batool, Sima Taheri, Rama Chellappa:
Assessment of facial wrinkles as a soft biometrics. FG 2013: 1-7
[c327]
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Yi-Chen Chen, Vishal M. Patel, Sumit Shekhar, Rama Chellappa, P. Jonathon Phillips:
Video-based face recognition via joint sparse representation. FG 2013: 1-8
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Vishal M. Patel, Qiang Qiu, Rama Chellappa:
Dictionaries for image-based recognition. ITA 2013: 1-8
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Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa, Nalini K. Ratha:
Robust and Secure Iris Recognition. Handbook of Iris Recognition 2013: 183-204
[i6]
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Qiang Qiu, Rama Chellappa:
Compositional Dictionaries for Domain Adaptive Face Recognition. CoRR abs/1308.0271 (2013)
[i5]
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Qiang Qiu, Zhuolin Jiang, Rama Chellappa:
Sparse Dictionary-based Attributes for Action Recognition and Summarization. CoRR abs/1308.0290 (2013)
[i4]
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Kota Hara, Rama Chellappa:
K-ary Regression Forests for Continuous Pose and Direction Estimation. CoRR abs/1312.6430 (2013)
2012
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Ming-Yu Liu, Oncel Tuzel, Ashok Veeraraghavan, Yuichi Taguchi, Tim K. Marks, Rama Chellappa:
Fast object localization and pose estimation in heavy clutter for robotic bin picking. Int. J. Robotics Res. 31(8): 951-973 (2012)
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Rama Chellappa:
Introduction. Image Vis. Comput. 30(6-7): 379 (2012)
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Rama Chellappa:
Mathematical statistics and computer vision. Image Vis. Comput. 30(8): 467-468 (2012)
[j180]
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Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, Rama Chellappa:
A Blur-Robust Descriptor with Applications to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1220-1226 (2012)
[j179]
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Rama Chellappa, Jie Ni, Vishal M. Patel:
Remote identification of faces: Problems, prospects, and progress. Pattern Recognit. Lett. 33(14): 1849-1859 (2012)
[j178]
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Vishal M. Patel, Tao Wu, Soma Biswas, P. Jonathon Phillips, Rama Chellappa:
Dictionary-Based Face Recognition Under Variable Lighting and Pose. IEEE Trans. Inf. Forensics Secur. 7(3): 954-965 (2012)
[j177]
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Tao Wu, Pavan K. Turaga, Rama Chellappa:
Age Estimation and Face Verification Across Aging Using Landmarks. IEEE Trans. Inf. Forensics Secur. 7(6): 1780-1788 (2012)
[j176]
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Vishal M. Patel, Ray Maleh, Anna C. Gilbert, Rama Chellappa:
Gradient-Based Image Recovery Methods From Incomplete Fourier Measurements. IEEE Trans. Image Process. 21(1): 94-105 (2012)
[j175]
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Raghuraman Gopalan, Tsai Hong, Michael Shneier, Ramalingam Chellappa:
A Learning Approach Towards Detection and Tracking of Lane Markings. IEEE Trans. Intell. Transp. Syst. 13(3): 1088-1098 (2012)
[c325]
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Ashish Shrivastava, Hien Van Nguyen, Vishal M. Patel, Rama Chellappa:
Design of Non-Linear Discriminative Dictionaries for Image Classification. ACCV (1) 2012: 660-674
[c324]
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Jingjing Zheng, Zhuolin Jiang, P. Jonathon Phillips, Rama Chellappa:
Cross-View Action Recognition via a Transferable Dictionary Pair. BMVC 2012: 1-11
[c323]
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Tao Wu, Rama Chellappa:
Age Invariant Face Verification with Relative Craniofacial Growth Model. ECCV (6) 2012: 58-71
[c322]
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Ming Du, Rama Chellappa:
Face Association across Unconstrained Video Frames Using Conditional Random Fields. ECCV (7) 2012: 167-180
[c321]
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Nazre Batool, Rama Chellappa:
Modeling and Detection of Wrinkles in Aging Human Faces Using Marked Point Processes. ECCV Workshops (2) 2012: 178-188
[c320]
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Sumit Shekhar, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Joint Sparsity-Based Robust Multimodal Biometrics Recognition. ECCV Workshops (3) 2012: 365-374
[c319]
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Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction. ECCV (6) 2012: 414-427
[c318]
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Qiang Qiu, Vishal M. Patel, Pavan K. Turaga, Rama Chellappa:
Domain Adaptive Dictionary Learning. ECCV (4) 2012: 631-645
[c317]
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Yi-Chen Chen, Vishal M. Patel, P. Jonathon Phillips, Rama Chellappa:
Dictionary-Based Face Recognition from Video. ECCV (6) 2012: 766-779
[c316]
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Yi-Chen Chen, Challa S. Sastry, Vishal M. Patel, P. Jonathon Phillips, Rama Chellappa:
Rotation invariant simultaneous clustering and dictionary learning. ICASSP 2012: 1053-1056
[c315]
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  - conf/icassp/WarnellRC12
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Garrett A. Warnell, Dikpal Reddy, Rama Chellappa:
Adaptive rate compressive sensing for background subtraction. ICASSP 2012: 1477-1480
[c314]
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  - conf/icassp/ThukralMC12
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Pavleen Thukral, Kaushik Mitra, Rama Chellappa:
A hierarchical approach for human age estimation. ICASSP 2012: 1529-1532
[c313]
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  - conf/icassp/NguyenPNC12
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Hien Van Nguyen, Vishal M. Patel, Nasser M. Nasrabadi, Rama Chellappa:
Kernel dictionary learning. ICASSP 2012: 2021-2024
[c312]
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  - conf/iccp/ShroffVTTAC12
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Nitesh Shroff, Ashok Veeraraghavan, Yuichi Taguchi, Oncel Tuzel, Amit K. Agrawal, Rama Chellappa:
Variable focus video: Reconstructing depth and video for dynamic scenes. ICCP 2012: 1-9
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  - conf/icip/HoC12
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Huy Tho Ho, Rama Chellappa:
Automatic head pose estimation using randomly projected dense SIFT descriptors. ICIP 2012: 153-156
[c310]
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Yi-Chen Chen, Vishal M. Patel, Rama Chellappa, P. Jonathon Phillips:
Salient view selection based on sparse representation. ICIP 2012: 649-652
[c309]
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Nazre Batool, Rama Chellappa:
A Markov Point Process model for wrinkles in human faces. ICIP 2012: 1809-1812
[c308]
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Ashish Shrivastava, Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa:
Learning discriminative dictionaries with partially labeled data. ICIP 2012: 3113-3116
[c307]
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Jingjing Zheng, Ming-Yu Liu, Rama Chellappa, P. Jonathon Phillips:
A Grassmann manifold-based domain adaptation approach. ICPR 2012: 2095-2099
[i3]
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  - journals/corr/abs-1201-4895
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Aswin C. Sankaranarayanan, Pavan K. Turaga, Rama Chellappa, Richard G. Baraniuk:
Compressive Acquisition of Dynamic Scenes. CoRR abs/1201.4895 (2012)
[i2]
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  - journals/corr/abs-1208-3687
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Qiang Qiu, Vishal M. Patel, Rama Chellappa:
Information-theoretic Dictionary Learning for Image Classification. CoRR abs/1208.3687 (2012)
[i1]
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  - journals/corr/abs-1208-4398
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Qiang Qiu, Rama Chellappa:
A Unified Approach for Modeling and Recognition of Individual Actions and Group Activities. CoRR abs/1208.4398 (2012)
2011
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Rama Chellappa, Pavan K. Turaga:
Advances in Video-Based Biometrics. Adv. Comput. 83: 183-203 (2011)
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Mohamed F. Abdelkader, Wael Abd-Almageed, Anuj Srivastava, Rama Chellappa:
Silhouette-based gesture and action recognition via modeling trajectories on Riemannian shape manifolds. Comput. Vis. Image Underst. 115(3): 439-455 (2011)
[j172]
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Sinisa Todorovic, Rama Chellappa:
Editorial. Int. J. Comput. Vis. 93(2): 115-116 (2011)
[j171]
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  - journals/pami/RamachandranVC11
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Mahesh Ramachandran, Ashok Veeraraghavan, Rama Chellappa:
A Fast Bilinear Structure from Motion Algorithm Using a Video Sequence and Inertial Sensors. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 186-193 (2011)
[j170]
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Jaishanker K. Pillai, Vishal M. Patel, Rama Chellappa, Nalini K. Ratha:
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations. IEEE Trans. Pattern Anal. Mach. Intell. 33(9): 1877-1893 (2011)
[j169]
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Pavan K. Turaga, Ashok Veeraraghavan, Anuj Srivastava, Rama Chellappa:
Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(11): 2273-2286 (2011)
[j168]
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Rama Chellappa, Andrea Cavallaro, Ying Wu, Caifeng Shan, Yun Fu, Kari Pulli:
Special Issue on Video Analysis on Resource-Limited Systems. IEEE Trans. Circuits Syst. Video Technol. 21(10): 1349-1352 (2011)
[j167]
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Jie Ni, Pavan K. Turaga, Vishal M. Patel, Rama Chellappa:
Example-Driven Manifold Priors for Image Deconvolution. IEEE Trans. Image Process. 20(11): 3086-3096 (2011)
[c306]
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Vishal M. Patel, Ramalingam Chellappa:
Sparse Representations, Compressive Sensing and dictionaries for pattern recognition. ACPR 2011: 325-329
[c305]
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Dikpal Reddy, Ashok Veeraraghavan, Rama Chellappa:
P2C2: Programmable pixel compressive camera for high speed imaging. CVPR 2011: 329-336
[c304]
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Ming-Yu Liu, Oncel Tuzel, Srikumar Ramalingam, Rama Chellappa:
Entropy rate superpixel segmentation. CVPR 2011: 2097-2104
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Rama Chellappa, Pavan K. Turaga:
Recent advances in age and height estimation from still images and video. FG 2011: 91-96
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Sima Taheri, Pavan K. Turaga, Rama Chellappa:
Towards view-invariant expression analysis using analytic shape manifolds. FG 2011: 306-313
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Sumit Shekhar, Vishal M. Patel, Rama Chellappa:
Synthesis-based recognition of low resolution faces. IJCB 2011: 1-6
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Qiang Qiu, Zhuolin Jiang, Rama Chellappa:
Sparse dictionary-based representation and recognition of action attributes. ICCV 2011: 707-714
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Raghuraman Gopalan, Ruonan Li, Rama Chellappa:
Domain adaptation for object recognition: An unsupervised approach. ICCV 2011: 999-1006
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Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pavan K. Turaga, Rama Chellappa:
Blurring-invariant Riemannian metrics for comparing signals and images. ICCV 2011: 1770-1775
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Rama Chellappa:
The evolution of stochastic grammars for representation and recognition of activities in videos. ICCV Workshops 2011: 688
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Vishal M. Patel, Tao Wu, Soma Biswas, P. Jonathon Phillips, Rama Chellappa:
Illumination robust dictionary-based face recognition. ICIP 2011: 777-780
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Wilman W. W. Zou, Rama Chellappa, Pong C. Yuen:
Face tracking in low resolution videos under illumination variations. ICIP 2011: 781-784
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Wei Zhang, Yanlin Guo, Reuven Meth, Harvey Sokoloff, Art Pope, Thomas M. Strat, Rama Chellappa:
Variable remapping of images from very different sources. ICIP 2011: 1501-1504
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Vishal M. Patel, Glenn R. Easley, Rama Chellappa:
Component-based restoration of speckled images. ICIP 2011: 2797-2800
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Nitesh Shroff, Pavan K. Turaga, Rama Chellappa:
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds. NIPS 2011: 154-162
[p10]
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Venu Madhav Govindu, Rama Chellappa:
Feature-based image to image registration. Image Registration for Remote Sensing 2011: 215-239
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Raghuraman Gopalan, William Robson Schwartz, Rama Chellappa, Ankur Srivastava:
Face Detection. Visual Analysis of Humans 2011: 71-90
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Rama Chellappa, Ming Du, Pavan K. Turaga, Shaohua Kevin Zhou:
Face Tracking and Recognition in Video. Handbook of Face Recognition 2011: 323-351
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Vishal M. Patel, Jaishanker K. Pillai, Rama Chellappa:
Image and Video-Based Biometrics. Visual Analysis of Humans 2011: 437-454
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