Chaohui Wang

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Book Chapter and Journal Articles

C. Wang, H. Fu, D. Tao, and M. J. Black
Occlusion Boundary: A Formal Definition & Its Detection via Deep Exploration of Context
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 44, No. 5, Page 2641-2656, May 2022.
 
H. Fu, M. Gong, C. Wang, and D. Tao
MoE-SPNet: A mixture-of-experts scene parsing network
Pattern Recognition (PR), Vol. 27, Page 226-236, Dec. 2018.
 
C. Wang, C. Xu, C. Wang, and D. Tao
Perceptual Adversarial Networks for Image-to-Image Transformation
IEEE Transactions on Image Processing (TIP), Vol. 27, Issue 8, Page 4066-4079, Aug. 2018.
 
X. Tian, L. Jiao, Z. Gan, C. Wang, and X. Zheng
Consistency-constrained Non-negative Coding for Tracking
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 27, Iss. 4, Page 880-891, Apr. 2017.
 
Y. Zeng, C. Wang, X. Gu, D. Samaras, and N. Paragios
Higher-order Graph Principles towards Non-rigid Surface Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 38, No. 12, Page 437-449, Dec. 2016.
 
C. Wang, N. Komodakis, and N. Paragios
Markov Random Field Modeling, Inference & Learning in Computer Vision & Image Understanding: A Survey
Computer Vision and Image Understanding (CVIU), Vol. 117, Iss. 11, Page 1610-1627, Nov. 2013.
 
C. Wang, Y. Zeng, D. Samaras, and N. Paragios
Modeling Shapes with Higher-Order Graphs: Methodology and Applications
Book Chapter in Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective
(Editors: Sven Dickinson and Zygmunt Pizlo), Springer, 2013.
 
A. Panagopoulos, C. Wang, D. Samaras, and N. Paragios
Simultaneous Cast Shadows, Illumination and Geometry Inference Using Hypergraphs
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 35, No. 2, Page 437-449, Feb. 2013.
 

Top Rank International Conference Articles

X. Qiu, Y. Xiao, C. Wang, and R. Marlet
Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application
In European Conference on Computer Vision (ECCV), 2020.
 
Z. Chen, Y. Xu, M. Gong, C. Wang, B. Du, and K. Zhang
Compressed Self-Attention for Deep Metric Learning
In AAAI conference on Artificial Intelligence (AAAI), 2020.
 
H. Fu, M. Gong, C. Wang, K. Batmanghelich, K. Zhang and D. Tao
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Long Beach, USA
*Best Paper Finalist* in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019.
 
H. Fu, M. Gong, C. Wang, K. Batmanghelich, and D. Tao
Deep Ordinal Regression Network for Monocular Depth Estimation
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, Salt Lake City, USA
*The First Prize* in Single Image Depth Prediction of Robust Vision Challenge 2018, in conjunction with CVPR 2018.
 
C. Wang, C. Wang, C. Xu, and D. Tao
Tag Disentangled Generative Adversarial Networks for Object Image Re-rendering
In International Joint Conference on Artificial Intelligence (IJCAI), 2017, Melbourne, Australia
*Distinguished Student Paper Award* in International Joint Conference on Artificial Intelligence (IJCAI), 2017.
 
H. Fu, C. Wang, D. Tao, and M. J. Black
Occlusion Boundary Detection via Deep Exploration of Context
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Las Vegas, USA.
 
Z. Ren, C. Wang, and A. Yuille
Scene-Domain Active Part Models for Object Representation
In IEEE International Conference on Computer Vision (ICCV), 2015, Santiago, Chile.
 
Z. Hong, Z. Chen, C. Wang, X. Mei, D. Prokhorov, and D. Tao
MUlti-Store Tracker (MUSTer): a Cognitive Psychology Inspired Approach to Object Tracking
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, Boston, USA.
 
Z. Hong, C. Wang, X. Mei, D. Prokhorov, and D. Tao
Tracking using Multilevel Quantizations
In European Conference on Computer Vision (ECCV), 2014, Zürich, Switzerland..
 
Y. Zeng, C. Wang, X. Gu, D. Samaras, and N. Paragios
A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach
In IEEE International Conference on Computer Vision (ICCV), 2013, Sydney, Australia.
 
Y. Zeng, C. Wang, S. Soatto, and S. T. Yau
Nonlinearly Constrained MRFs: Exploring the Intrinsic Dimensions of Higher-Order Cliques
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, Portland, USA.
 
C. Wang, Y. Zeng, L. Simon, I. Kakadiaris, D. Samaras, and N. Paragios
Viewpoint Invariant 3D Landmark Model Inference from Monocular 2D Images Using Higher-Order Priors
In IEEE International Conference on Computer Vision (ICCV), 2011, Barcelona, Spain.
 
C. Wang, H. Boussaid, L. Simon, J.-Y. Lazennec, and N. Paragios
Pose-invariant 3D Proximal Femur Estimation through Bi-Planar Image Segmentation with Hierarchical Higher-Order Graph-based Priors
In International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2011, Toronto, Canada.
 
Y. Zeng, C. Wang, Y. Wang, X. Gu, D. Samaras, and N. Paragios
Intrinsic Dense 3D Surface Tracking
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, Colorado, USA.
 
A. Panagopoulos, C. Wang, D. Samaras, and N. Paragios
Illumination Estimation and Cast Shadow Detection through a Higher-order Graphical Model
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, Colorado, USA.
 
C. Wang, O. Teboul, F. Michel, S. Essafi, and N. Paragios
3D Knowledge-based Segmentation Using Pose-Invariant Higher-Order Graphs
In International Conference, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2010, Beijing, China.
 
Y. Zeng, C. Wang, Y. Wang, X. Gu, D. Samaras, and N. Paragios
Dense Non-rigid Surface Registration Using High-order Graph Matching
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, San Francisco, USA.
 
C. Wang, M. de La Gorce, and N. Paragios
Segmentation, Ordering and Multi-object Tracking Using Graphical Models
In IEEE International Conference on Computer Vision (ICCV), 2009, Kyoto, Japan.
 

Ordinary Peer-reviewed International Conference and Workshop Articles

Y. Xu, M. Gong, T. Liu, K. Batmanghelich, and C. Wang
Robust Angular Local Descriptor Learning
In Asian Conference on Computer Vision (ACCV), 2018, Perth, Australia.
 
A. Geiger and C. Wang
Joint 3D Object and Layout Inference from a single RGB-D Image
In German Conference on Pattern Recognition (GCPR), 2015, Aachen, Germany
*Best Paper Award* in German Conference on Pattern Recognition (GCPR), 2015.
 
B. Xiang, C. Wang, J.-F. Deux, A. Rahmouni, and N. Paragios
3D Cardiac Segmentation with Pose-Invariant Higher-Order MRFs
In IEEE International Symposium on Biomedical Imaging (ISBI), 2012, Barcelona, Spain.
 
A. Ravichandran, C. Wang, M. Raptis, and S. Soatto
SuperFloxels: A Mid-Level Representation for Video Sequences
In Analysis and Retrieval of Tracked Events and Motion in Imagery Streams Workshop (ARTEMIS) (in conjunction with ECCV), 2012, Firenze, Italy.
 
C. Wang, M. M. Bronstein, A. M. Bronstein, and N. Paragios
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2011, The Dead Sea, Israel.
 
B. Xiang, C. Wang, J.-F. Deux, A. Rahmouni, and N. Paragios
Tagged Cardiac MR Image Segmentation Using Boundary & Regional-Support and Graph-based Deformable Priors
In IEEE International Symposium on Biomedical Imaging (ISBI), 2011, Chicago, USA.
 
A. Panagopoulos, C. Wang, D. Samaras, and N. Paragios
Estimating Shadows with the Bright Channel Cue
In Color and Reflectance in Imaging and Computer Vision Workshop (CRICV) (in conjunction with ECCV), 2010, Crete, Greece.
 

Patents

Z. Hong, X. Mei, Z. Chen, C. Wang, D. Prokhorov and D. Tao
Apparatus and method for object tracking
2019 U.S. Patent No. 10,210,421.
 
Z. Hong, X. Mei, Z. Chen, C. Wang, D. Prokhorov and D. Tao
Apparatus and method for object tracking
2017 U.S. Patent No. 9,613,273.
 
X. Mei, C. Wang, Z. Hong, D. Prokhorov and D. Tao
Tracking using multilevel representations
2016 U.S. Patent No. 9,519,837.