| Simultaneous motion detection and background reconstruction with a conditional mixed-state Markov random field T Crivelli, P Bouthemy, B Cernuschi-Frías, J Yao International journal of computer vision 94, 295-316, 2011 | 26 | 2011 |
| Simultaneous motion detection and background reconstruction with a mixed-state conditional Markov random field T Crivelli, G Piriou, P Bouthemy, B Cernuschi-Frías, J Yao Computer Vision–ECCV 2008: 10th European Conference on Computer Vision …, 2008 | 22 | 2008 |
| Robust optical flow integration T Crivelli, M Fradet, PH Conze, P Robert, P Pérez IEEE Transactions on Image Processing 24 (1), 484-498, 2014 | 19 | 2014 |
| Mixed-state Markov random fields for motion texture modeling and segmentation T Crivelli, B Cernuschi-Frías, P Bouthemy, JF Yao 2006 International Conference on Image Processing, 1857-1860, 2006 | 19 | 2006 |
| Motion textures: modeling, classification, and segmentation using mixed-state Markov random fields T Crivelli, B Cernuschi-Frias, P Bouthemy, JF Yao SIAM Journal on Imaging Sciences 6 (4), 2484-2520, 2013 | 16 | 2013 |
| From optical flow to dense long term correspondences T Crivelli, PH Conze, P Robert, P Pérez 2012 19th IEEE International Conference on Image Processing, 61-64, 2012 | 16 | 2012 |
| Determining occlusions from space and time image reconstructions JM Pérez-Rúa, T Crivelli, P Bouthemy, P Pérez Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 13 | 2016 |
| Multi-step flow fusion: towards accurate and dense correspondences in long video shots T Crivelli, PH Conze, P Robert, M Fradet, P Pérez British Machine Vision Conference, 2012 | 13 | 2012 |
| Image edits propagation to underlying video sequence via dense motion fields. TE Crivelli, P Robert, M Fradet, T Viellard | 9 | 2017 |
| Discovering motion hierarchies via tree-structured coding of trajectories JM Pérez-Rúa, T Crivelli, P Pérez, P Bouthemy Proceedings of the British Machine Vision Conference 2016, 2016 | 7 | 2016 |
| Learning mixed-state Markov models for statistical motion texture tracking T Crivelli, P Bouthemy, B Cernuschi-Frías, JF Yao 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 7 | 2009 |
| Segmentation of motion textures using mixed-state Markov random fields T Crivelli, B Cernuschi-Frías, P Bouthemy, JF Yao Mathematics of data/image pattern recognition, compression, and encryption …, 2006 | 7 | 2006 |
| Multi-reference combinatorial strategy towards longer long-term dense motion estimation PH Conze, P Robert, T Crivelli, L Morin Computer Vision and Image Understanding 150, 66-80, 2016 | 6 | 2016 |
| Dense motion estimation between distant frames: combinatorial multi-step integration and statistical selection PH Conze, T Crivelli, P Robert, L Morin 2013 IEEE International Conference on Image Processing, 3860-3864, 2013 | 5 | 2013 |
| Method for deblurring a video, corresponding device and computer program product M Lebrun, P Hellier, TE Crivelli US Patent App. 15/795,949, 2018 | 4 | 2018 |
| Mixed-state causal modeling for statistical KL-based motion texture tracking T Crivelli, B Cernuschi-Frias, P Bouthemy, JF Yao Pattern recognition letters 31 (14), 2286-2294, 2010 | 4 | 2010 |
| Method and apparatus for object tracking and segmentation via background tracking TE Crivelli, JMP RUA, P Perez US Patent 10,249,046, 2019 | 3 | 2019 |
| Roam: A rich object appearance model with application to rotoscoping JM Perez-Rua, O Miksik, T Crivelli, P Bouthemy, PHS Torr, P Perez IEEE transactions on pattern analysis and machine intelligence 42 (8), 1996-2010, 2019 | 3 | 2019 |
| Object-guided motion estimation JM Pérez-Rúa, T Crivelli, P Pérez Computer Vision and Image Understanding 153, 88-99, 2016 | 3 | 2016 |
| Method for generating a motion field for a video sequence PH Conze, P Robert, T Crivelli, L Morin US Patent App. 14/765,811, 2015 | 3 | 2015 |
Jianfeng (Jeff) YaoThe Chinese University of Hong Kong (Shenzhen)Verified email at cuhk.edu.cn
