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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
- [c77]Yunhan Zhao, Haoyu Ma, Shu Kong, Charless C. Fowlkes:
Instance Tracking in 3D Scenes from Egocentric Videos. CVPR 2024: 21933-21944 - [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
ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition. CoRR abs/2205.02361 (2022) - 2021
- [j16]Hirak Jyoti Kashyap
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
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
Fine-grained facial expression analysis using dimensional emotion model. Neurocomputing 392: 38-49 (2020) - [c66]Yunhan Zhao, Shu Kong
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation. CVPR 2020: 3327-3337 - [c65]Linfeng Wang, Shu Kong
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
Cross-Domain Image Matching with Deep Feature Maps. Int. J. Comput. Vis. 127(11-12): 1738-1750 (2019) - [j13]Negin Hayatbini
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
Modularized Textual Grounding for Counterfactual Resilience. CVPR 2019: 6378-6388 - [c59]Daeyun Shin, Zhile Ren, Erik B. Sudderth
3D Scene Reconstruction With Multi-Layer Depth and Epipolar Transformers. ICCV 2019: 2172-2182 - [c58]Phuc Xuan Nguyen, Deva Ramanan
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
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
Recurrent Scene Parsing With Perspective Understanding in the Loop. CVPR 2018: 956-965 - [c54]Daeyun Shin, Charless C. Fowlkes
Pixels, Voxels, and Views: A Study of Shape Representations for Single View 3D Object Shape Prediction. CVPR 2018: 3061-3069 - [c53]Shu Kong
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
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
Do We Need More Training Data? Int. J. Comput. Vis. 119(1): 76-92 (2016) - [c45]Shu Kong
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
Photo Aesthetics Ranking Network with Attributes and Content Adaptation. ECCV (1) 2016: 662-679 - [c42]Raúl Díaz, Minhaeng Lee, Jochen Schubert
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
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
Parsing Occluded People. CVPR 2014: 2401-2408 - [c35]Julian Yarkony, Chong Zhang
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
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
Accurate motion deblurring using camera motion tracking and scene depth. WACV 2013: 148-153 - 2012
- [j9]Yi Yang, Sam Hallman, Deva Ramanan
Layered Object Models for Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 34(9): 1731-1743 (2012) - [c31]Hyeoungho Bae, Charless C. Fowlkes
Patch Mosaic for Fast Motion Deblurring. ACCV (3) 2012: 322-335 - [c30]Xiangxin Zhu, Carl Vondrick, Deva Ramanan
Do We Need More Training Data or Better Models for Object Detection?. BMVC 2012: 1-11 - [c29]Julian Yarkony, Alexander Ihler
Fast Planar Correlation Clustering for Image Segmentation. ECCV (6) 2012: 568-581 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless C. Fowlkes
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
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
Discriminative Models for Multi-Class Object Layout. Int. J. Comput. Vis. 95(1): 1-12 (2011) - [j7]Pablo Arbeláez
Contour Detection and Hierarchical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 898-916 (2011) - [c28]Hamed Pirsiavash, Deva Ramanan
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
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]Anil Aswani
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data. BMC Bioinform. 11: 413 (2010) - [j5]Oliver Rübel, Gunther H. Weber
Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 7(1): 64-79 (2010) - [c23]Chaitanya Desai, Deva Ramanan
Discriminative models for static human-object interactions. CVPR Workshops 2010: 9-16 - [c22]Julian Yarkony, Charless C. Fowlkes
Covering trees and lower-bounds on quadratic assignment. CVPR 2010: 887-894 - [c21]Yi Yang, Sam Hallman, Deva Ramanan
Layered object detection for multi-class segmentation. CVPR 2010: 3113-3120 - [c20]Dennis Park, Deva Ramanan
Multiresolution Models for Object Detection. ECCV (4) 2010: 241-254 - [c19]Oliver Rübel, Sean Ahern, E. Wes Bethel, Mark D. Biggin, Hank Childs, Estelle Cormier-Michel, Angela H. DePace, Michael B. Eisen
Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data. ICCS 2010: 1757-1764
2000 – 2009
- 2009
- [j4]Gunther H. Weber
Visual Exploration of Three-Dimensional Gene Expression Using Physical Views and Linked Abstract Views. IEEE ACM Trans. Comput. Biol. Bioinform. 6(2): 296-309 (2009) - [c18]Pablo Arbeláez
From contours to regions: An empirical evaluation. CVPR 2009: 2294-2301 - [c17]Chaitanya Desai, Deva Ramanan
Discriminative models for multi-class object layout. ICCV 2009: 229-236 - [c16]Hamed Pirsiavash, Deva Ramanan, Charless C. Fowlkes:
Bilinear classifiers for visual recognition. NIPS 2009: 1482-1490 - 2008
- [j3]Xiaofeng Ren, Charless C. Fowlkes
Learning Probabilistic Models for Contour Completion in Natural Images. Int. J. Comput. Vis. 77(1-3): 47-63 (2008) - [c15]Michael Maire, Pablo Arbeláez
Using contours to detect and localize junctions in natural images. CVPR 2008 - 2007
- [c14]Oliver Rübel, Gunther H. Weber, Min-Yu Huang, E. Wes Bethel, Soile V. E. Keränen, Charless C. Fowlkes, Cris L. Luengo Hendriks, Angela H. DePace, Lisa Simirenko, Michael B. Eisen, Mark D. Biggin, Hans Hagen, Jitendra Malik, David W. Knowles, Bernd Hamann:
PointCloudXplore 2: Visual Exploration of 3D Gene Expression. Visualization of Large and Unstructured Data Sets 2007: 125-137 - 2006
- [c13]Xiaofeng Ren, Charless C. Fowlkes
Figure/Ground Assignment in Natural Images. ECCV (2) 2006: 614-627 - [c12]Oliver Rübel, Gunther H. Weber, Soile V. E. Keränen, Charless C. Fowlkes, Cris L. Luengo Hendriks, Lisa Simirenko, Nameeta Y. Shah, Michael B. Eisen, Mark D. Biggin, Hans Hagen, Damir Sudar, Jitendra Malik, David W. Knowles, Bernd Hamann:
PointCloudXplore: Visual Analysis of 3D Gene Expression Data Using Physical Views and Parallel Coordinates. EuroVis 2006: 203-210 - [c11]Oliver Rübel, Gunther H. Weber, Soile V. E. Keränen, Charless C. Fowlkes, Cris L. Luengo Hendriks, Lisa Simirenko, Nameeta Y. Shah, Michael B. Eisen, Mark D. Biggin, Hans Hagen, Damir Sudar, Jitendra Malik, David W. Knowles, Bernd Hamann:
PointCloudXplore: A Visualization Tool for 3D Gene Expression Data. VLUDS 2006: 107-118 - 2005
- [c10]Charless C. Fowlkes, Jitendra Malik, Cris L. Luengo Hendriks
Registering Drosophila Embryos at Cellular Resolution to Build a Quantitative 3D Atlas of Gene Expression Patterns and Morphology. CSB Workshops 2005: 354-357 - [c9]Xiaofeng Ren, Charless C. Fowlkes, Jitendra Malik:
Scale-Invariant Contour Completion Using Conditional Random Fields. ICCV 2005: 1214-1221 - [c8]Xiaofeng Ren, Charless C. Fowlkes, Jitendra Malik:
Cue Integration for Figure/Ground Labeling. NIPS 2005: 1121-1128 - 2004
- [j2]Charless C. Fowlkes, Serge J. Belongie
Spectral Grouping Using the Nyström Method. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 214-225 (2004) - [j1]David R. Martin, Charless C. Fowlkes, Jitendra Malik:
Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 530-549 (2004) - 2003
- [c7]Charless C. Fowlkes, David R. Martin, Jitendra Malik:
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches. CVPR (2) 2003: 54-64 - 2002
- [c6]Serge J. Belongie
Spectral Partitioning with Indefinite Kernels Using the Nyström Extension. ECCV (3) 2002: 531-542 - [c5]David R. Martin, Charless C. Fowlkes, Jitendra Malik:
Learning to Detect Natural Image Boundaries Using Brightness and Texture. NIPS 2002: 1255-1262 - 2001
- [c4]Charless C. Fowlkes, Serge J. Belongie
Efficient Spatiotemporal Grouping Using the Nystro"m Method. CVPR (1) 2001: 231-238 - [c3]David R. Martin, Charless C. Fowlkes, Doron Tal, Jitendra Malik:
A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics. ICCV 2001: 416-425
1990 – 1999
- 1999
- [c2]Michael C. Burl, Charless C. Fowlkes
Diamond Eye: a distributed architecture for image data mining. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: 197-206 - [c1]Joseph Roden, Michael C. Burl, Charless C. Fowlkes:
The Diamond Eye Image Mining System. SSDBM 1999: 283
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Unpaywalled article links
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
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Reference lists
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2024-10-15 20:45 CEST by the dblp team
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