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Charless C. Fowlkes
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- affiliation: University of California, Irvine, Department of Computer Science
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2020 – today
- 2024
- [i51]Samia Shafique, Shu Kong, Charless C. Fowlkes:
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching. CoRR abs/2404.16972 (2024) - 2023
- [c76]Hao Li, Charless C. Fowlkes, Hao Yang, Onkar Dabeer, Zhuowen Tu, Stefano Soatto:
Guided Recommendation for Model Fine-Tuning. CVPR 2023: 3633-3642 - [c75]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS 2023 - [c74]Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes:
Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos. WACV 2023: 858-868 - [c73]Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless C. Fowlkes:
GeoFill: Reference-Based Image Inpainting with Better Geometric Understanding. WACV 2023: 1776-1786 - [i50]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR abs/2303.04105 (2023) - [i49]Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes:
Instance Tracking in 3D Scenes from Egocentric Videos. CoRR abs/2312.04117 (2023) - 2022
- [c72]Zhe Wang, Jimei Yang, Charless C. Fowlkes:
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation. CVPR Workshops 2022: 2317-2326 - [c71]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR 2022: 7551-7560 - [c70]Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless C. Fowlkes:
Geometric Pose Affordance: Monocular 3D Human Pose Estimation with Scene Constraints. ECCV Workshops (6) 2022: 3-18 - [c69]Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
SSCAP: Self-supervised Co-occurrence Action Parsing for Unsupervised Temporal Action Segmentation. WACV 2022: 175-184 - [i48]Yunhan Zhao, Connelly Barnes, Yuqian Zhou, Eli Shechtman, Sohrab Amirghodsi, Charless C. Fowlkes:
GeoFill: Reference-Based Image Inpainting of Scenes with Complex Geometry. CoRR abs/2201.08131 (2022) - [i47]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR abs/2203.16708 (2022) - [i46]Zhe Wang, Jimei Yang, Charless C. Fowlkes:
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation. CoRR abs/2205.00508 (2022) - [i45]Samia Shafique, Bailey Kong, Shu Kong, Charless C. Fowlkes:
ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition. CoRR abs/2205.02361 (2022) - 2021
- [j16]Hirak Jyoti Kashyap, Charless C. Fowlkes, Jeffrey L. Krichmar:
Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2521-2534 (2021) - [c68]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR 2021: 194-203 - [c67]Yunhan Zhao, Shu Kong, Charless C. Fowlkes:
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. CVPR 2021: 15759-15768 - [i44]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021) - [i43]Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR abs/2102.00084 (2021) - [i42]Zhe Wang, Hao Chen, Xinyu Li, Chunhui Liu, Yuanjun Xiong, Joseph Tighe, Charless C. Fowlkes:
Unsupervised Action Segmentation with Self-supervised Feature Learning and Co-occurrence Parsing. CoRR abs/2105.14158 (2021) - [i41]Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Representation Consolidation for Training Expert Students. CoRR abs/2107.08039 (2021) - [i40]Kolby Nottingham, Litian Liang, Daeyun Shin, Charless C. Fowlkes, Roy Fox, Sameer Singh:
Modular Framework for Visuomotor Language Grounding. CoRR abs/2109.02161 (2021) - 2020
- [j15]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392: 38-49 (2020) - [c66]Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes:
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CVPR 2020: 3327-3337 - [c65]Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes:
Celeganser: Automated Analysis of Nematode Morphology and Age. CVPR Workshops 2020: 4164-4173 - [c64]Zhe Wang, Daeyun Shin, Charless C. Fowlkes:
Predicting Camera Viewpoint Improves Cross-Dataset Generalization for 3D Human Pose Estimation. ECCV Workshops (2) 2020: 523-540 - [c63]Yunhan Zhao, Ye Tian, Charless C. Fowlkes, Wei Shen, Alan L. Yuille:
Resisting Large Data Variations via Introspective Transformation Network. WACV 2020: 3069-3078 - [i39]Yunhan Zhao, Shu Kong, Daeyun Shin, Charless C. Fowlkes:
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CoRR abs/2002.12114 (2020) - [i38]Zhe Wang, Daeyun Shin, Charless C. Fowlkes:
Predicting Camera Viewpoint Improves Cross-dataset Generalization for 3D Human Pose Estimation. CoRR abs/2004.03143 (2020) - [i37]Linfeng Wang, Shu Kong, Zachary Pincus, Charless C. Fowlkes:
Celeganser: Automated Analysis of Nematode Morphology and Age. CoRR abs/2005.04884 (2020) - [i36]Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang:
Weak Supervision and Referring Attention for Temporal-Textual Association Learning. CoRR abs/2006.11747 (2020) - [i35]Yunhan Zhao, Shu Kong, Charless C. Fowlkes:
When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding. CoRR abs/2007.03887 (2020)
2010 – 2019
- 2019
- [j14]Bailey Kong, James Steven Supancic III, Deva Ramanan, Charless C. Fowlkes:
Cross-Domain Image Matching with Deep Feature Maps. Int. J. Comput. Vis. 127(11-12): 1738-1750 (2019) - [j13]Negin Hayatbini, Bailey Kong, Kuo-lin Hsu, Phu Nguyen, Soroosh Sorooshian, Graeme Stephens, Charless C. Fowlkes, Ramakrishna R. Nemani:
Conditional Generative Adversarial Networks (cGANs) for Near Real-Time Precipitation Estimation from Multispectral GOES-16 Satellite Imageries - PERSIANN-cGAN. Remote. Sens. 11(19): 2193 (2019) - [c62]Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes:
Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction. CVPR Workshops 2019: 39-43 - [c61]Minhaeng Lee, Charless C. Fowlkes:
CeMNet: Self-Supervised Learning for Accurate Continuous Ego-Motion Estimation. CVPR Workshops 2019: 354-363 - [c60]Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang:
Modularized Textual Grounding for Counterfactual Resilience. CVPR 2019: 6378-6388 - [c59]Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes:
3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers. ICCV 2019: 2172-2182 - [c58]Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Weakly-Supervised Action Localization With Background Modeling. ICCV 2019: 5501-5510 - [c57]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. ICCV 2019: 6429-6438 - [c56]Shu Kong, Charless C. Fowlkes:
Pixel-Wise Attentional Gating for Scene Parsing. WACV 2019: 1024-1033 - [i34]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. CoRR abs/1902.03545 (2019) - [i33]Daeyun Shin, Zhile Ren, Erik B. Sudderth, Charless C. Fowlkes:
Multi-layer Depth and Epipolar Feature Transformers for 3D Scene Reconstruction. CoRR abs/1902.06729 (2019) - [i32]Hirak Jyoti Kashyap, Charless C. Fowlkes, Jeffrey L. Krichmar:
Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes. CoRR abs/1903.03731 (2019) - [i31]Shu Kong, Charless C. Fowlkes:
Multigrid Predictive Filter Flow for Unsupervised Learning on Videos. CoRR abs/1904.01693 (2019) - [i30]Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang:
Modularized Textual Grounding for Counterfactual Resilience. CoRR abs/1904.03589 (2019) - [i29]Zhe Wang, Liyan Chen, Shaurya Rathore, Daeyun Shin, Charless C. Fowlkes:
Geometric Pose Affordance: 3D Human Pose with Scene Constraints. CoRR abs/1905.07718 (2019) - [i28]Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Weakly-supervised Action Localization with Background Modeling. CoRR abs/1908.06552 (2019) - 2018
- [c55]Shu Kong, Charless C. Fowlkes:
Recurrent Scene Parsing With Perspective Understanding in the Loop. CVPR 2018: 956-965 - [c54]Daeyun Shin, Charless C. Fowlkes, Derek Hoiem:
Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction. CVPR 2018: 3061-3069 - [c53]Shu Kong, Charless C. Fowlkes:
Recurrent Pixel Embedding for Instance Grouping. CVPR 2018: 9018-9028 - [c52]Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Active Testing: An Efficient and Robust Framework for Estimating Accuracy. ICML 2018: 3756-3765 - [c51]Zhe Wang, Xiaoyi Liu, Limin Wang, Yu Qiao, Xiaohui Xie, Charless C. Fowlkes:
Structured Triplet Learning with POS-Tag Guided Attention for Visual Question Answering. WACV 2018: 1888-1896 - [i27]Zhe Wang, Xiaoyi Liu, Liangjian Chen, Limin Wang, Yu Qiao, Xiaohui Xie, Charless C. Fowlkes:
Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering. CoRR abs/1801.07853 (2018) - [i26]Bailey Kong, James Steven Supancic III, Deva Ramanan, Charless C. Fowlkes:
Cross-Domain Image Matching with Deep Feature Maps. CoRR abs/1804.02367 (2018) - [i25]Daeyun Shin, Charless C. Fowlkes, Derek Hoiem:
Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction. CoRR abs/1804.06032 (2018) - [i24]Feng Zhou, Shu Kong, Charless C. Fowlkes, Tao Chen, Baiying Lei:
Fine-Grained Facial Expression Analysis Using Dimensional Emotion Model. CoRR abs/1805.01024 (2018) - [i23]Shu Kong, Charless C. Fowlkes:
Pixel-wise Attentional Gating for Parsimonious Pixel Labeling. CoRR abs/1805.01556 (2018) - [i22]Minhaeng Lee, Charless C. Fowlkes:
CeMNet: Self-supervised learning for accurate continuous ego-motion estimation. CoRR abs/1806.10309 (2018) - [i21]Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes:
Active Testing: An Efficient and Robust Framework for Estimating Accuracy. CoRR abs/1807.00493 (2018) - [i20]Shu Kong, Charless C. Fowlkes:
Image Reconstruction with Predictive Filter Flow. CoRR abs/1811.11482 (2018) - 2017
- [j12]Shaofei Wang, Charless C. Fowlkes:
Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions. Int. J. Comput. Vis. 122(3): 484-501 (2017) - [c50]Shaofei Wang, Steffen Wolf, Charless C. Fowlkes, Julian Yarkony:
Tracking Objects with Higher Order Interactions via Delayed Column Generation. AISTATS 2017: 1132-1140 - [c49]Bailey Kong, James Steven Supancic III, Deva Ramanan, Charless C. Fowlkes:
Fine-Grained Forensic Matching. BMVC 2017 - [c48]Raúl Díaz, Charless C. Fowlkes:
Cluster-Wise Ratio Tests for Fast Camera Localization. CVPR Workshops 2017: 959-968 - [c47]Shu Kong, Charless C. Fowlkes:
Low-Rank Bilinear Pooling for Fine-Grained Classification. CVPR 2017: 7025-7034 - [c46]Minhaeng Lee, Charless C. Fowlkes:
Space-Time Localization and Mapping. ICCV 2017: 3932-3941 - [i19]Shu Kong, Charless C. Fowlkes:
Recurrent Scene Parsing with Perspective Understanding in the Loop. CoRR abs/1705.07238 (2017) - [i18]Bailey Kong, Charless C. Fowlkes:
Energy-Based Spherical Sparse Coding. CoRR abs/1710.01820 (2017) - [i17]Shu Kong, Charless C. Fowlkes:
Recurrent Pixel Embedding for Instance Grouping. CoRR abs/1712.08273 (2017) - 2016
- [j11]Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes, Deva Ramanan:
Do We Need More Training Data? Int. J. Comput. Vis. 119(1): 76-92 (2016) - [c45]Shu Kong, Surangi Punyasena, Charless C. Fowlkes:
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CVPR Workshops 2016: 1305-1314 - [c44]Golnaz Ghiasi, Charless C. Fowlkes:
Laplacian Pyramid Reconstruction and Refinement for Semantic Segmentation. ECCV (3) 2016: 519-534 - [c43]Shu Kong, Xiaohui Shen, Zhe L. Lin, Radomír Mech, Charless C. Fowlkes:
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. ECCV (1) 2016: 662-679 - [c42]Raúl Díaz, Minhaeng Lee, Jochen Schubert, Charless C. Fowlkes:
Lifting GIS maps into strong geometric context for scene understanding. WACV 2016: 1-9 - [i16]Phuc Xuan Nguyen, Grégory Rogez, Charless C. Fowlkes, Deva Ramanan:
The Open World of Micro-Videos. CoRR abs/1603.09439 (2016) - [i15]Shu Kong, Surangi Punyasena, Charless C. Fowlkes:
Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification. CoRR abs/1605.00775 (2016) - [i14]Anish Acharya, Uddipan Mukherjee, Charless C. Fowlkes:
On Image segmentation using Fractional Gradients-Learning Model Parameters using Approximate Marginal Inference. CoRR abs/1605.02240 (2016) - [i13]Golnaz Ghiasi, Charless C. Fowlkes:
Laplacian Reconstruction and Refinement for Semantic Segmentation. CoRR abs/1605.02264 (2016) - [i12]Shu Kong, Xiaohui Shen, Zhe Lin, Radomír Mech, Charless C. Fowlkes:
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. CoRR abs/1606.01621 (2016) - [i11]Shaofei Wang, Charless C. Fowlkes:
Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions. CoRR abs/1610.01394 (2016) - [i10]Shu Kong, Charless C. Fowlkes:
Low-rank Bilinear Pooling for Fine-Grained Classification. CoRR abs/1611.05109 (2016) - [i9]Raúl Díaz, Charless C. Fowlkes:
Cluster-Wise Ratio Tests for Fast Camera Localization. CoRR abs/1612.01689 (2016) - 2015
- [j10]Michael Chiang, Sam Hallman, Amanda Cinquin, Nabora de Mochel, Adrian Paz, Shimako Kawauchi, Anne L. Calof, Ken Cho, Charless C. Fowlkes, Olivier Cinquin:
Analysis of in vivo single cell behavior by high throughput, human-in-the-loop segmentation of three-dimensional images. BMC Bioinform. 16: 397:1-397:19 (2015) - [c41]Shaofei Wang, Charless C. Fowlkes:
Learning Optimal Parameters For Multi-target Tracking. BMVC 2015: 4.1-4.13 - [c40]Golnaz Ghiasi, Charless C. Fowlkes:
Using Segmentation to Predict the Absence of Occluded Parts. BMVC 2015: 22.1-22.12 - [c39]Sam Hallman, Charless C. Fowlkes:
Oriented edge forests for boundary detection. CVPR 2015: 1732-1740 - [c38]Julian Yarkony, Charless C. Fowlkes:
Planar Ultrametrics for Image Segmentation. NIPS 2015: 64-72 - [i8]Xiangxin Zhu, Carl Vondrick, Charless C. Fowlkes, Deva Ramanan:
Do We Need More Training Data? CoRR abs/1503.01508 (2015) - [i7]Golnaz Ghiasi, Charless C. Fowlkes:
Occlusion Coherence: Detecting and Localizing Occluded Faces. CoRR abs/1506.08347 (2015) - [i6]Raúl Díaz, Minhaeng Lee, Jochen Schubert, Charless C. Fowlkes:
Lifting GIS Maps into Strong Geometric Context. CoRR abs/1507.03698 (2015) - 2014
- [c37]Golnaz Ghiasi, Charless C. Fowlkes:
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model. CVPR 2014: 1899-1906 - [c36]Golnaz Ghiasi, Yi Yang, Deva Ramanan, Charless C. Fowlkes:
Parsing Occluded People. CVPR 2014: 2401-2408 - [c35]Julian Yarkony, Chong Zhang, Charless C. Fowlkes:
Hierarchical Planar Correlation Clustering for Cell Segmentation. EMMCVPR 2014: 492-504 - [i5]Shaofei Wang, Charless C. Fowlkes:
Learning Multi-target Tracking with Quadratic Object Interactions. CoRR abs/1412.2066 (2014) - [i4]Sam Hallman, Charless C. Fowlkes:
Oriented Edge Forests for Boundary Detection. CoRR abs/1412.4181 (2014) - 2013
- [c34]Björn Andres, Julian Yarkony, B. S. Manjunath, Steffen Kirchhoff, Engin Türetken, Charless C. Fowlkes, Hanspeter Pfister:
Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs. EMMCVPR 2013: 266-279 - [c33]Raúl Díaz, Sam Hallman, Charless C. Fowlkes:
Detecting Dynamic Objects with Multi-view Background Subtraction. ICCV 2013: 273-280 - [c32]Hyeoungho Bae, Charless C. Fowlkes, Pai H. Chou:
Accurate motion deblurring using camera motion tracking and scene depth. WACV 2013: 148-153 - 2012
- [j9]Yi Yang, Sam Hallman, Deva Ramanan, Charless C. Fowlkes:
Layered Object Models for Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1731-1743 (2012) - [c31]Hyeoungho Bae, Charless C. Fowlkes, Pai H. Chou:
Patch Mosaic for Fast Motion Deblurring. ACCV (3) 2012: 322-335 - [c30]Xiangxin Zhu, Carl Vondrick, Deva Ramanan, Charless C. Fowlkes:
Do We Need More Training Data or Better Models for Object Detection?. BMVC 2012: 1-11 - [c29]Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Fast Planar Correlation Clustering for Image Segmentation. ECCV (6) 2012: 568-581 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless C. Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen P. Schulze, Daniel Acevedo, Klaus Mueller, Michael E. Papka:
Advances in Visual Computing - 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part I. Lecture Notes in Computer Science 7431, Springer 2012, ISBN 978-3-642-33178-7 [contents] - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless C. Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen P. Schulze, Daniel Acevedo, Klaus Mueller, Michael E. Papka:
Advances in Visual Computing - 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part II. Lecture Notes in Computer Science 7432, Springer 2012, ISBN 978-3-642-33190-9 [contents] - [i3]Julian Yarkony, Ragib Morshed, Alexander T. Ihler, Charless C. Fowlkes:
Tightening MRF Relaxations with Planar Subproblems. CoRR abs/1202.3771 (2012) - [i2]Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Fast Planar Correlation Clustering for Image Segmentation. CoRR abs/1208.0378 (2012) - 2011
- [j8]Chaitanya Desai, Deva Ramanan, Charless C. Fowlkes:
Discriminative Models for Multi-Class Object Layout. Int. J. Comput. Vis. 95(1): 1-12 (2011) - [j7]Pablo Arbeláez, Michael Maire, Charless C. Fowlkes, Jitendra Malik:
Contour Detection and Hierarchical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 898-916 (2011) - [c28]Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes:
Globally-optimal greedy algorithms for tracking a variable number of objects. CVPR 2011: 1201-1208 - [c27]Yihang Bo, Charless C. Fowlkes:
Shape-based pedestrian parsing. CVPR 2011: 2265-2272 - [c26]Yutian Chen, Andrew Gelfand, Charless C. Fowlkes, Max Welling:
Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation. ICCV 2011: 2635-2642 - [c25]Julian Yarkony, Alexander Ihler, Charless C. Fowlkes:
Planar Cycle Covering Graphs. UAI 2011: 761-769 - [c24]Julian Yarkony, Ragib Morshed, Alexander Ihler, Charless C. Fowlkes:
Tightening MRF Relaxations with Planar Subproblems. UAI 2011: 770-777 - [i1]Julian Yarkony, Alexander T. Ihler, Charless C. Fowlkes:
Planar Cycle Covering Graphs. CoRR abs/1104.1204 (2011) - 2010
- [j6]