| Method and apparatus for facilitating a secondary wager at a slot machine J Walker, G Gelman, S Tulley, M Downs US Patent App. 10/121,251, 2002 | 303 | 2002 |
| 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 (3), 295-316, 2011 | 27 | 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 European Conference on Computer Vision, 113-126, 2008 | 23 | 2008 |
| 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 | 18 | 2006 |
| Robust optical flow integration T Crivelli, M Fradet, PH Conze, P Robert, P Pérez IEEE Transactions on Image Processing 24 (1), 484-498, 2014 | 14 | 2014 |
| 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 | 14 | 2013 |
| 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 | 14 | 2013 |
| 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 |
| 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 | 12 | 2012 |
| 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 | 10 | 2012 |
| 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 | 8 | 2006 |
| 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 |
| 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 | 6 | 2016 |
| 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 | 6 | 2010 |
| Object-guided motion estimation JM Perez-Rua, T Crivelli, P Pérez Computer Vision and Image Understanding 153, 88-99, 2016 | 4 | 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 | 4 | 2013 |
| 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 | 4 | 2013 |
| Mixed-state Markov models in image motion analysis T Crivelli, P Bouthemy, BC Frías, J Yao Machine Learning for Vision-Based Motion Analysis, 77-115, 2011 | 3 | 2011 |
| Mixed-state Markov models in image motion analysis T Crivelli, P Bouthemy, BC Frías, J Yao Machine Learning for Vision-Based Motion Analysis, 77-115, 2011 | 3 | 2011 |
| Temporal modeling of motion textures with mixed-sates Markov chains T Crivelli, BC Frias, P Bouthemy, JF Yao 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 3 | 2008 |
jianfeng yaoThe University of Hong KongVerified email at hku.hk
