The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 2126 | 2015 |
Deep ordinal regression network for monocular depth estimation H Fu, M Gong, C Wang, K Batmanghelich, D Tao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1891 | 2018 |
Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking Z Hong, Z Chen, C Wang, X Mei, D Prokhorov, D Tao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 759 | 2015 |
Perceptual adversarial networks for image-to-image transformation C Wang, C Xu, C Wang, D Tao IEEE Transactions on Image Processing 27 (8), 4066-4079, 2018 | 393 | 2018 |
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey C Wang, N Komodakis, N Paragios Computer Vision and Image Understanding 117 (11), 1610-1627, 2013 | 324 | 2013 |
Geometry-consistent generative adversarial networks for one-sided unsupervised domain mapping H Fu, M Gong, C Wang, K Batmanghelich, K Zhang, D Tao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 219 | 2019 |
Dense non-rigid surface registration using high-order graph matching Y Zeng, C Wang, Y Wang, X Gu, D Samaras, N Paragios 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 213 | 2010 |
Illumination estimation and cast shadow detection through a higher-order graphical model A Panagopoulos, C Wang, D Samaras, N Paragios CVPR 2011, 673-680, 2011 | 102 | 2011 |
Segmentation, ordering and multi-object tracking using graphical models C Wang, M de La Gorce, N Paragios Computer Vision (ICCV), 2009 IEEE 12th International Conference on, 747-754, 2009 | 82 | 2009 |
Discrete minimum distortion correspondence problems for non-rigid shape matching C Wang, MM Bronstein, AM Bronstein, N Paragios Scale Space and Variational Methods in Computer Vision: Third International …, 2012 | 75 | 2012 |
Tracking using multilevel quantizations Z Hong, C Wang, X Mei, D Prokhorov, D Tao Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 69 | 2014 |
Tag disentangled generative adversarial networks for object image re-rendering C Wang, C Wang, C Xu, D Tao International joint conference on artificial intelligence (IJCAI), 2017 | 66 | 2017 |
Joint 3d object and layout inference from a single rgb-d image A Geiger, C Wang Pattern Recognition: 37th German Conference, GCPR 2015, Aachen, Germany …, 2015 | 66 | 2015 |
3D knowledge-based segmentation using pose-invariant higher-order graphs C Wang, O Teboul, F Michel, S Essafi, N Paragios Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010: 13th …, 2010 | 56 | 2010 |
Estimating shadows with the bright channel cue A Panagopoulos, C Wang, D Samaras, N Paragios Trends and Topics in Computer Vision: ECCV 2010 Workshops, Heraklion, Crete …, 2012 | 41 | 2012 |
Simultaneous Cast Shadows, Illumination & Geometry Inference Using Hypergraphs A Panagopoulos, C Wang, D Samaras, N Paragios IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2012 | 40 | 2012 |
Apparatus and method for object tracking Z Hong, X Mei, Z Chen, C Wang, D Prokhorov, D Tao US Patent 9,613,273, 2017 | 36 | 2017 |
Occlusion boundary detection via deep exploration of context H Fu, C Wang, D Tao, MJ Black Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on, 2016 | 32 | 2016 |
Intrinsic dense 3D surface tracking Y Zeng, C Wang, Y Wang, X Gu, D Samaras, N Paragios CVPR 2011, 1225-1232, 2011 | 31 | 2011 |
A compromise principle in deep monocular depth estimation H Fu, M Gong, C Wang, D Tao arXiv preprint arXiv:1708.08267, 2017 | 28 | 2017 |