| 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 | 985 | 2015 |
| 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 | 479 | 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 | 238 | 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 | 221 | 2013 |
| 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 | 174 | 2010 |
| 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 | 104 | 2018 |
| 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 | 76 | 2009 |
| 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 | 65 | 2011 |
| Discrete minimum distortion correspondence problems for non-rigid shape matching C Wang, MM Bronstein, AM Bronstein, N Paragios International Conference on Scale Space and Variational Methods in Computer …, 2011 | 60 | 2011 |
| Tracking using multilevel quantizations Z Hong, C Wang, X Mei, D Prokhorov, D Tao European Conference on Computer Vision, 155-171, 2014 | 56 | 2014 |
| 3D knowledge-based segmentation using pose-invariant higher-order graphs C Wang, O Teboul, F Michel, S Essafi, N Paragios International Conference on Medical Image Computing and Computer-Assisted …, 2010 | 49 | 2010 |
| Tag disentangled generative adversarial networks for object image re-rendering C Wang, C Wang, C Xu, D Tao | 44 | 2017 |
| Joint 3d object and layout inference from a single rgb-d image A Geiger, C Wang German Conference on Pattern Recognition, 183-195, 2015 | 42 | 2015 |
| 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 | 28 | 2012 |
| Intrinsic dense 3D surface tracking Y Zeng, C Wang, Y Wang, X Gu, D Samaras, N Paragios CVPR 2011, 1225-1232, 2011 | 26 | 2011 |
| A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach Y Zeng, C Wang, X Gu, D Samaras, N Paragios Computer Vision (ICCV), 2013 IEEE 14th International Conference on, 2013 | 24* | 2013 |
| Estimating shadows with the bright channel cue A Panagopoulos, C Wang, D Samaras, N Paragios European Conference on Computer Vision, 1-12, 2010 | 22 | 2010 |
| 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 | 19 | 2016 |
| Viewpoint Invariant 3D Landmark Model Inference from Monocular 2D Images Using Higher-Order Priors C Wang, Y Zeng, L Simon, I Kakadiaris, D Samaras, N Paragios Computer Vision (ICCV), 2011 IEEE 13th International Conference on, 319-326, 2011 | 17 | 2011 |
| A compromise principle in deep monocular depth estimation H Fu, M Gong, C Wang, D Tao arXiv preprint arXiv:1708.08267, 2017 | 10 | 2017 |
Nikos ParagiosProfessor, CentraleSupelec (Ecole Centrale Paris) / Université Paris-Saclay / InriaVerified email at ecp.fr
