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Minh Hoai

Minh Hoai Nguyen

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affiliation: Stony Brook University, NY, USA
affiliation (former): University of Oxford, UK
affiliation (former): Carnegie Mellon University, USA

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Books and Theses

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2012
[b1]
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Minh Hoai:
Segment-based SVMs for Time Series Analysis. Carnegie Mellon University, USA, 2012

Journal Articles

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2021
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Zijun Wei, Boyu Wang, Minh Hoai, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Dimitris Samaras:
Sequence-to-Segments Networks for Detecting Segments in Videos. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1009-1021 (2021)
[j10]
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Le Hou, Tomás F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Large Scale Shadow Annotation and Detection Using Lazy Annotation and Stacked CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1337-1351 (2021)
[j9]
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Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. IEEE Trans. Vis. Comput. Graph. 27(2): 1312-1321 (2021)
2018
[j8]
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Boyu Wang, Minh Hoai:
Back to the beginning: Starting point detection for early recognition of ongoing human actions. Comput. Vis. Image Underst. 175: 24-31 (2018)
[j7]
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Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Leave-One-Out Kernel Optimization for Shadow Detection and Removal. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 682-695 (2018)
[j6]
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Yang Liu, Minh Hoai, Mang Shao, Tae-Kyun Kim:
Latent Bi-Constraint SVM for Video-Based Object Recognition. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3044-3052 (2018)
2014
[j5]
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Minh Hoai Nguyen, Fernando De la Torre:
Max-Margin Early Event Detectors. Int. J. Comput. Vis. 107(2): 191-202 (2014)
[j4]
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Minh Hoai Nguyen, Lorenzo Torresani, Fernando De la Torre, Carsten Rother:
Learning discriminative localization from weakly labeled data. Pattern Recognit. 47(3): 1523-1534 (2014)
2010
[j3]
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Minh Hoai Nguyen, Fernando De la Torre:
Metric Learning for Image Alignment. Int. J. Comput. Vis. 88(1): 69-84 (2010)
[j2]
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Minh Hoai Nguyen, Fernando De la Torre:
Optimal feature selection for support vector machines. Pattern Recognit. 43(3): 584-591 (2010)
2008
[j1]
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Minh Hoai Nguyen, Jean-François Lalonde, Alexei A. Efros, Fernando De la Torre:
Image-based Shaving. Comput. Graph. Forum 27(2): 627-635 (2008)

Conference and Workshop Papers

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2024
[c76]
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Yifeng Huang, Duc Duy Nguyen, Lam Nguyen, Cuong Pham, Minh Hoai:
Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild. AAAI 2024: 10057-10065
2023
[c75]
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Sounak Mondal, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai:
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention. CVPR 2023: 1441-1450
[c74]
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Bang-Dang Pham, Phong Tran, Anh Tran, Cuong Pham, Rang Nguyen, Minh Hoai:
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering. CVPR 2023: 9843-9852
[c73]
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Zekun Zhang, Minh Hoai:
Object Detection with Self-Supervised Scene Adaptation. CVPR 2023: 21589-21599
[c72]
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Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian:
Text-Derived Knowledge Helps Vision: A Simple Cross-modal Distillation for Video-based Action Anticipation. EACL (Findings) 2023: 1837-1852
[c71]
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Yifeng Huang, Viresh Ranjan, Minh Hoai:
Interactive Class-Agnostic Object Counting. ICCV 2023: 22255-22265
[c70]
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Qiaomu Miao, Minh Hoai, Dimitris Samaras:
Patch-level Gaze Distribution Prediction for Gaze Following. WACV 2023: 880-889
2022
[c69]
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Viresh Ranjan, Minh Hoai Nguyen:
Exemplar Free Class Agnostic Counting. ACCV (4) 2022: 71-87
[c68]
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Bach Tran, Binh-Son Hua, Anh Tuan Tran, Minh Hoai:
Self-supervised Learning with Multi-view Rendering for 3D Point Cloud Analysis. ACCV (1) 2022: 413-431
[c67]
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Vinh Tran, Niranjan Balasubramanian, Minh Hoai:
From Within to Between: Knowledge Distillation for Cross Modality Retrieval. ACCV (4) 2022: 605-622
[c66]
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Viresh Ranjan, Minh Hoai:
Vicinal Counting Networks. CVPR Workshops 2022: 4220-4229
[c65]
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Supreeth Narasimhaswamy, Thanh Nguyen, Mingzhen Huang, Minh Hoai:
Whose Hands are These? Hand Detection and Hand-Body Association in the Wild. CVPR 2022: 4879-4889
[c64]
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Yupei Chen, Zhibo Yang, Souradeep Chakraborty, Sounak Mondal, Seoyoung Ahn, Dimitris Samaras, Minh Hoai, Gregory J. Zelinsky:
Characterizing Target-absent Human Attention. CVPR Workshops 2022: 5027-5036
[c63]
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Mingzhen Huang, Supreeth Narasimhaswamy, Saif Vazir, Haibin Ling, Minh Hoai:
Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild. CVPR 2022: 6396-6406
[c62]
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Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-Absent Human Attention. ECCV (4) 2022: 52-68
[c61]
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Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai:
Few-Shot Object Counting and Detection. ECCV (20) 2022: 348-365
2021
[c60]
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Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. AAAI 2021: 872-881
[c59]
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Zekun Zhang, Farrukh M. Koraishy, Minh Hoai:
Exemplar-Based Early Event Prediction in Video. BMVC 2021: 234
[c58]
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Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai:
Learning To Count Everything. CVPR 2021: 3394-3403
[c57]
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Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, Thanh Duc Ngo, Thien Huu Nguyen, Minh Hoai:
Dictionary-Guided Scene Text Recognition. CVPR 2021: 7383-7392
[c56]
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Phong Tran, Anh Tuan Tran, Quynh Phung, Minh Hoai:
Explore Image Deblurring via Encoded Blur Kernel Space. CVPR 2021: 11956-11965
[c55]
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Thao Nguyen, Anh Tuan Tran, Minh Hoai:
Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer. CVPR 2021: 13305-13314
[c54]
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Chuong Huynh, Anh Tuan Tran, Khoa Luu, Minh Hoai:
Progressive Semantic Segmentation. CVPR 2021: 16755-16764
[c53]
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Long-Nhat Ho, Anh Tuan Tran, Quynh Phung, Minh Hoai:
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images. ICCV 2021: 12580-12590
[c52]
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Vinh Tran, Yang Wang, Zekun Zhang, Minh Hoai:
Knowledge Distillation for Human Action Anticipation. ICIP 2021: 2518-2522
[c51]
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Vinh Tran, Niranjan Balasubramanian, Minh Hoai:
Progressive Knowledge Distillation For Early Action Recognition. ICIP 2021: 2583-2587
[c50]
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Yang Wang, Gedas Bertasius, Tae-Hyun Oh, Abhinav Gupta, Minh Hoai, Lorenzo Torresani:
Supervoxel Attention Graphs for Long-Range Video Modeling. WACV 2021: 155-166
[c49]
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Sohee Kim Park, Minh Hoai, Arani Bhattacharya, Samir R. Das:
Adaptive Streaming of 360-Degree Videos with Reinforcement Learning. WACV 2021: 1838-1847
2020
[c48]
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Viresh Ranjan, Boyu Wang, Mubarak Shah, Minh Hoai:
Uncertainty Estimation and Sample Selection for Crowd Counting. ACCV (5) 2020: 375-391
[c47]
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Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai Nguyen:
Attentive Action and Context Factorization. BMVC 2020
[c46]
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Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning. CVPR 2020: 190-199
[c45]
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Boyu Wang, Lihan Huang, Minh Hoai:
Active Vision for Early Recognition of Human Actions. CVPR 2020: 1078-1088
[c44]
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Zijun Wei, Jianming Zhang, Zhe Lin, Joon-Young Lee, Niranjan Balasubramanian, Minh Hoai, Dimitris Samaras:
Learning Visual Emotion Representations From Web Data. CVPR 2020: 13103-13112
[c43]
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Minh Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen:
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game. EMNLP (Findings) 2020: 4587-4593
[c42]
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Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai Nguyen:
Distribution Matching for Crowd Counting. NeurIPS 2020
[c41]
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Supreeth Narasimhaswamy, Trung Nguyen, Minh Hoai Nguyen:
Detecting Hands and Recognizing Physical Contact in the Wild. NeurIPS 2020
2019
[c40]
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Roy Shilkrot, Supreeth Narasimhaswamy, Saif Vazir, Minh Hoai:
WorkingHands: A Hand-Tool Assembly Dataset for Image Segmentation and Activity Mining. BMVC 2019: 258
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Gregory J. Zelinsky, Zhibo Yang, Lihan Huang, Yupei Chen, Seoyoung Ahn, Zijun Wei, Hossein Adeli, Dimitris Samaras, Minh Hoai:
Benchmarking Gaze Prediction for Categorical Visual Search. CVPR Workshops 2019: 828-836
[c38]
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Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai:
GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images. CVPR 2019: 1419-1428
[c37]
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Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai Nguyen:
Contextual Attention for Hand Detection in the Wild. ICCV 2019: 9566-9575
2018
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Zijun Wei, Jianming Zhang, Xiaohui Shen, Zhe Lin, Radomír Mech, Minh Hoai, Dimitris Samaras:
Good View Hunting: Learning Photo Composition From Dense View Pairs. CVPR 2018: 5437-5446
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Yang Wang, Minh Hoai:
Pulling Actions out of Context: Explicit Separation for Effective Combination. CVPR 2018: 7044-7053
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Viresh Ranjan, Hieu M. Le, Minh Hoai:
Iterative Crowd Counting. ECCV (7) 2018: 278-293
[c33]
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Hieu M. Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras:
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation. ECCV (2) 2018: 680-696
[c32]
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Boyu Wang, Minh Hoai:
Predicting Body Movement and Recognizing Actions: An Integrated Framework for Mutual Benefits. FG 2018: 341-348
[c31]
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Yang Wang, Vinh Quang Tran, Minh Hoai Nguyen:
Eigen-Evolution Dense Trajectory Descriptors. FG 2018: 473-479
[c30]
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Zijun Wei, Boyu Wang, Minh Hoai Nguyen, Jianming Zhang, Zhe L. Lin, Xiaohui Shen, Radomír Mech, Dimitris Samaras:
Sequence-to-Segment Networks for Segment Detection. NeurIPS 2018: 3511-3520
2017
[c29]
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Ke Ma, Minh Hoai, Dimitris Samaras:
Large-scale Continual Road Inspection: Visual Infrastructure Assessment in the Wild. BMVC 2017
[c28]
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Vu Nguyen, Tomas F. Yago Vicente, Maozheng Zhao, Minh Hoai, Dimitris Samaras:
Shadow Detection with Conditional Generative Adversarial Networks. ICCV 2017: 4520-4528
[c27]
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Boyu Wang, Kevin G. Yager, Dantong Yu, Minh Hoai:
X-Ray Scattering Image Classification Using Deep Learning. WACV 2017: 697-704
2016
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Yang Wang, Minh Hoai:
Improving Human Action Recognition by Non-action Classification. CVPR 2016: 2698-2707
[c25]
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Zijun Wei, Minh Hoai:
Region Ranking SVM for Image Classification. CVPR 2016: 2987-2996
[c24]
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Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Noisy Label Recovery for Shadow Detection in Unfamiliar Domains. CVPR 2016: 3783-3792
[c23]
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Tomás F. Yago Vicente, Le Hou, Chen-Ping Yu, Minh Hoai, Dimitris Samaras:
Large-Scale Training of Shadow Detectors with Noisily-Annotated Shadow Examples. ECCV (6) 2016: 816-832
[c22]
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Zijun Wei, Hossein Adeli, Minh Hoai, Gregory J. Zelinsky, Dimitris Samaras:
Learned Region Sparsity and Diversity Also Predicts Visual Attention. NIPS 2016: 1894-1902
2015
[c21]
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Heeyoung Kwon, Kiwon Yun, Minh Hoai, Dimitris Samaras:
Recognizing cultural events in images: A study of image categorization models. CVPR Workshops 2015: 51-57
[c20]
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Tomas F. Yago Vicente, Minh Hoai, Dimitris Samaras:
Leave-One-Out Kernel Optimization for Shadow Detection. ICCV 2015: 3388-3396
2014
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Minh Hoai, Andrew Zisserman:
Improving Human Action Recognition Using Score Distribution and Ranking. ACCV (5) 2014: 3-20
[c18]
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Minh Hoai, Andrew Zisserman:
Thread-Safe: Towards Recognizing Human Actions Across Shot Boundaries. ACCV (4) 2014: 222-237
[c17]
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Minh Hoai:
Regularized Max Pooling for Image Categorization. BMVC 2014
[c16]
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Minh Hoai, Lubor Ladicky, Andrew Zisserman:
Action Recognition From Weak Alignment of Body Parts. BMVC 2014
[c15]
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Minh Hoai, Andrew Zisserman:
Talking Heads: Detecting Humans and Recognizing Their Interactions. CVPR 2014: 875-882
2013
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Minh Hoai, Andrew Zisserman:
Discriminative Sub-categorization. CVPR 2013: 1666-1673
2012
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Minh Hoai Nguyen, Fernando De la Torre:
Max-margin early event detectors. CVPR 2012: 2863-2870
[c12]
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Minh Hoai Nguyen, Fernando De la Torre:
Maximum Margin Temporal Clustering. AISTATS 2012: 520-528
2011
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Minh Hoai Nguyen, Zhen-Zhong Lan, Fernando De la Torre:
Joint segmentation and classification of human actions in video. CVPR 2011: 3265-3272
2010
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  - conf/cvpr/SimonNTC10
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Tomas Simon, Minh Hoai Nguyen, Fernando De la Torre, Jeffrey F. Cohn:
Action unit detection with segment-based SVMs. CVPR 2010: 2737-2744
2009
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Jeffrey F. Cohn, T. S. Kruez, Iain A. Matthews, Ying Yang, Minh Hoai Nguyen, M. T. Padilla, Feng Zhou, Fernando De la Torre:
Detecting depression from facial actions and vocal prosody. ACII 2009: 1-7
[c8]
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Minh Hoai Nguyen, Lorenzo Torresani, Lorenzo de la Torre, Carsten Rother:
Weakly supervised discriminative localization and classification: a joint learning process. ICCV 2009: 1925-1932
2008
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Minh Hoai Nguyen, Fernando De la Torre:
Local minima free Parameterized Appearance Models. CVPR 2008
[c6]
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Fernando De la Torre, Minh Hoai Nguyen:
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment. CVPR 2008
[c5]
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Minh Hoai Nguyen, Joan Perez, Fernando De la Torre:
Facial feature detection with optimal pixel reduction SVM. FG 2008: 1-6
[c4]
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Minh Hoai Nguyen, Fernando De la Torre:
Learning image alignment without local minima for face detection and tracking. FG 2008: 1-7
[c3]
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Minh Hoai Nguyen, Fernando De la Torre:
Robust Kernel Principal Component Analysis. NIPS 2008: 1185-1192
2006
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Minh Hoai Nguyen, Wayne Wobcke:
A Flexible Framework for SharedPlans. Australian Conference on Artificial Intelligence 2006: 393-402
2003
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Keith Chan, Annie Chen, Zhi Cong Leo Liang, Amir Michail, Minh Hoai Nguyen, Nicholas Seow:
DRT: A Tool for Design Recovery of Interactive Graphical Applications. ICSE 2003: 814-815

Informal and Other Publications

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

2024
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Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen, Ishita Dasgupta, Saayan Mitra, Minh Hoai:
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances. CoRR abs/2403.01693 (2024)
[i42]
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Bang-Dang Pham, Phong Tran, Anh Tran, Cuong Pham, Rang Nguyen, Minh Hoai:
Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains. CoRR abs/2403.16205 (2024)
2023
[i41]
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Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Predicting Human Attention using Computational Attention. CoRR abs/2303.09383 (2023)
[i40]
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  - journals/corr/abs-2303-15274
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Sounak Mondal, Zhibo Yang, Seoyoung Ahn, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai:
Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention. CoRR abs/2303.15274 (2023)
[i39]
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  - journals/corr/abs-2304-01686
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Bang-Dang Pham, Phong Tran, Anh Tran, Cuong Pham, Rang Nguyen, Minh Hoai:
HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering. CoRR abs/2304.01686 (2023)
[i38]
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  - journals/corr/abs-2309-05277
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Yifeng Huang, Viresh Ranjan, Minh Hoai:
Interactive Class-Agnostic Object Counting. CoRR abs/2309.05277 (2023)
[i37]
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  - journals/corr/abs-2312-17330
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Yifeng Huang, Duc Duy Nguyen, Lam Nguyen, Cuong Pham, Minh Hoai:
Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild. CoRR abs/2312.17330 (2023)
2022
[i36]
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  - journals/corr/abs-2205-14212
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Viresh Ranjan, Minh Hoai:
Exemplar Free Class Agnostic Counting. CoRR abs/2205.14212 (2022)
[i35]
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  - journals/corr/abs-2207-01166
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Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Target-absent Human Attention. CoRR abs/2207.01166 (2022)
[i34]
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  - journals/corr/abs-2207-10988
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Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai:
Few-shot Object Counting and Detection. CoRR abs/2207.10988 (2022)
[i33]
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  - journals/corr/abs-2210-05991
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Sayontan Ghosh, Tanvi Aggarwal, Minh Hoai, Niranjan Balasubramanian:
Distilling Knowledge from Language Models for Video-based Action Anticipation. CoRR abs/2210.05991 (2022)
[i32]
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  - journals/corr/abs-2210-15904
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Bach Tran, Binh-Son Hua, Anh Tuan Tran, Minh Hoai:
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis. CoRR abs/2210.15904 (2022)
[i31]
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  - journals/corr/abs-2211-11062
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Qiaomu Miao, Minh Hoai, Dimitris Samaras:
Patch-level Gaze Distribution Prediction for Gaze Following. CoRR abs/2211.11062 (2022)
2021
[i30]
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  - journals/corr/abs-2103-00871
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Phong Tran, Anh Tran, Thao Nguyen, Minh Hoai:
FineNet: Frame Interpolation and Enhancement for Face Video Deblurring. CoRR abs/2103.00871 (2021)
[i29]
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  - journals/corr/abs-2104-00317
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Phong Tran, Anh Tran, Quynh Phung, Minh Hoai:
Explore Image Deblurring via Blur Kernel Space. CoRR abs/2104.00317 (2021)
[i28]
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  - journals/corr/abs-2104-01867
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Thao Nguyen, Anh Tran, Minh Hoai:
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer. CoRR abs/2104.01867 (2021)
[i27]
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  - journals/corr/abs-2104-03778
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Chuong Huynh, Anh Tran, Khoa Luu, Minh Hoai:
Progressive Semantic Segmentation. CoRR abs/2104.03778 (2021)
[i26]
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  - journals/corr/abs-2104-08391
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Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai:
Learning To Count Everything. CoRR abs/2104.08391 (2021)
[i25]
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  - journals/corr/abs-2109-02288
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Long-Nhat Ho, Anh Tuan Tran, Quynh Phung, Minh Hoai:
Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images. CoRR abs/2109.02288 (2021)
2020
[i24]
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  - journals/corr/abs-2001-11921
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Gregory J. Zelinsky, Yupei Chen, Seoyoung Ahn, Hossein Adeli, Zhibo Yang, Lihan Huang, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning. CoRR abs/2001.11921 (2020)
[i23]
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  - journals/corr/abs-2005-14310
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Zhibo Yang, Lihan Huang, Yupei Chen, Zijun Wei, Seoyoung Ahn, Gregory J. Zelinsky, Dimitris Samaras, Minh Hoai:
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning. CoRR abs/2005.14310 (2020)
[i22]
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  - journals/corr/abs-2009-02256
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Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images. CoRR abs/2009.02256 (2020)
[i21]
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Raji Annadi, Yupei Chen, Viresh Ranjan, Dimitris Samaras, Gregory J. Zelinsky, Minh Hoai:
A Study of Human Gaze Behavior During Visual Crowd Counting. CoRR abs/2009.06502 (2020)
[i20]
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  - journals/corr/abs-2009-13077
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Boyu Wang, Huidong Liu, Dimitris Samaras, Minh Hoai:
Distribution Matching for Crowd Counting. CoRR abs/2009.13077 (2020)
[i19]
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  - journals/corr/abs-2009-14411
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Viresh Ranjan, Boyu Wang, Mubarak Shah, Minh Hoai:
Uncertainty Estimation and Sample Selection for Crowd Counting. CoRR abs/2009.14411 (2020)
[i18]
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  - journals/corr/abs-2010-09676
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Supreeth Narasimhaswamy, Trung Nguyen, Minh Hoai:
Detecting Hands and Recognizing Physical Contact in the Wild. CoRR abs/2010.09676 (2020)
[i17]
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  - journals/corr/abs-2011-08543
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Minh Thu Nguyen, Duy Phung, Minh Hoai, Thien Huu Nguyen:
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game. CoRR abs/2011.08543 (2020)
[i16]
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  - journals/corr/abs-2012-12482
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Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. CoRR abs/2012.12482 (2020)
2019
[i15]
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  - journals/corr/abs-1901-02840
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Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai:
GIF2Video: Color Dequantization and Temporal Interpolation of GIF images. CoRR abs/1901.02840 (2019)
[i14]
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  - journals/corr/abs-1902-07262
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Roy Shilkrot, Zhi Chai, Minh Hoai:
BusyHands: A Hand-Tool Interaction Database for Assembly Tasks Semantic Segmentation. CoRR abs/1902.07262 (2019)
[i13]
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  - journals/corr/abs-1904-02774
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Viresh Ranjan, Mubarak Shah, Minh Hoai Nguyen:
Crowd Transformer Network. CoRR abs/1904.02774 (2019)
[i12]
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  - journals/corr/abs-1904-04868
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Vinh Tran, Yang Wang, Minh Hoai:
Back to the Future: Knowledge Distillation for Human Action Anticipation. CoRR abs/1904.04868 (2019)
[i11]
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  - journals/corr/abs-1904-04882
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Supreeth Narasimhaswamy, Zhengwei Wei, Yang Wang, Justin Zhang, Minh Hoai:
Contextual Attention for Hand Detection in the Wild. CoRR abs/1904.04882 (2019)
[i10]
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  - journals/corr/abs-1904-05410
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Yang Wang, Vinh Tran, Gedas Bertasius, Lorenzo Torresani, Minh Hoai:
Attentive Action and Context Factorization. CoRR abs/1904.05410 (2019)
[i9]
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  - journals/corr/abs-1910-04357
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Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin G. Yager, Wei Xu:
Visual Understanding of Multiple Attributes Learning Model of X-Ray Scattering Images. CoRR abs/1910.04357 (2019)
2018
[i8]
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  - journals/corr/abs-1807-09959
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Viresh Ranjan, Hieu M. Le, Minh Hoai:
Iterative Crowd Counting. CoRR abs/1807.09959 (2018)
[i7]
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  - journals/corr/abs-1808-03840
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Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian, Minh Hoai:
Fake Sentence Detection as a Training Task for Sentence Encoding. CoRR abs/1808.03840 (2018)
2017
[i6]
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  - journals/corr/WangTH17
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Yang Wang, Vinh Tran, Minh Hoai:
Evolution-Preserving Dense Trajectory Descriptors. CoRR abs/1702.04037 (2017)
[i5]
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  - journals/corr/abs-1708-05465
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Yang Wang, Vinh Tran, Minh Hoai:
Eigen Evolution Pooling for Human Action Recognition. CoRR abs/1708.05465 (2017)
[i4]
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  - journals/corr/abs-1712-01361
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Hieu M. Le, Tomas F. Yago Vicente, Vu Nguyen, Minh Hoai, Dimitris Samaras:
A+D-Net: Shadow Detection with Adversarial Shadow Attenuation. CoRR abs/1712.01361 (2017)
2016
[i3]
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  - journals/corr/WangH16b
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Yang Wang, Minh Hoai:
Improving Human Action Recognition by Non-action Classification. CoRR abs/1604.06397 (2016)
[i2]
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  - journals/corr/0020HSK16
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Yang Liu, Minh Hoai, Mang Shao, Tae-Kyun Kim:
Latent Bi-constraint SVM for Video-based Object Recognition. CoRR abs/1605.09452 (2016)
[i1]
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Boyu Wang, Kevin G. Yager, Dantong Yu, Minh Hoai:
X-ray Scattering Image Classification Using Deep Learning. CoRR abs/1611.03313 (2016)

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