| Real-time classification of dance gestures from skeleton animation M Raptis, D Kirovski, H Hoppe Proceedings of the 2011 ACM SIGGRAPH/Eurographics symposium on computer …, 2011 | 388 | 2011 |
| Discovering discriminative action parts from mid-level video representations M Raptis, I Kokkinos, S Soatto 2012 IEEE conference on computer vision and pattern recognition, 1242-1249, 2012 | 254 | 2012 |
| Poselet Key-framing: A Model for Human Activity Recognition M Raptis, L Sigal Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013 | 242 | 2013 |
| Tracklet descriptors for action modeling and video analysis M Raptis, S Soatto European conference on computer vision, 577-590, 2010 | 192 | 2010 |
| Sparse Occlusion Detection with Optical Flow A Ayvaci, M Raptis, S Soatto International Journal of Computer Vision, 1-17, 2011 | 150 | 2011 |
| Occlusion detection and motion estimation with convex optimization A Ayvaci, M Raptis, S Soatto Advances in Neural Information Processing Systems, 2010 | 63* | 2010 |
| No Bias Left Behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation M Yamada, L Sigal, M Raptis Computer Vision–ECCV 2012, 674-687, 2012 | 40 | 2012 |
| Action is in the eye of the beholder: Eye-gaze driven model for spatio-temporal action localization N Shapovalova, M Raptis, L Sigal, G Mori Advances in Neural Information Processing Systems 26, 2409-2417, 2013 | 38 | 2013 |
| Flexible dictionaries for action recognition M Raptis, K Wnuk, S Soatto MLVMA/ECCV, 2008 | 37* | 2008 |
| From subcategories to visual composites: A multi-level framework for object detection T Lan, M Raptis, L Sigal, G Mori Proceedings of the IEEE International Conference on Computer Vision, 369-376, 2013 | 27 | 2013 |
| Towards unconstrained end-to-end text spotting S Qin, A Bissacco, M Raptis, Y Fujii, Y Xiao Proceedings of the IEEE International Conference on Computer Vision, 4704-4714, 2019 | 22 | 2019 |
| Spike train driven dynamical models for human actions M Raptis, K Wnuk, S Soatto Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010 | 20 | 2010 |
| Superfloxels: A mid-level representation for video sequences A Ravichandran, C Wang, M Raptis, S Soatto European Conference on Computer Vision, 131-140, 2012 | 11 | 2012 |
| Scalable real-time motion recognition M Raptis, C Noble, J Pritchett, H Hoppe, D Kirovski US Patent App. 12/876,979, 2012 | 10 | 2012 |
| Cross-domain matching with squared-loss mutual information M Yamada, L Sigal, M Raptis, M Toyoda, Y Chang, M Sugiyama IEEE transactions on pattern analysis and machine intelligence 37 (9), 1764-1776, 2015 | 8 | 2015 |
| Nonparametric Clustering with Distance Dependent Hierarchies. S Ghosh, M Raptis, L Sigal, EB Sudderth UAI, 260-269, 2014 | 8 | 2014 |
| Time warping under dynamic constraints M Raptis, M Bustreo, S Soatto Eleventh IEEE International Conference on Computer Vision, Workshop on …, 2007 | 7 | 2007 |
| Scalable real-time motion recognition M Raptis, C Noble, J Pritchett, H Hoppe, D Kirovski US Patent 8,968,091, 2015 | 6 | 2015 |
| Covariate shift adaptation for discriminative 3D pose estimation M Yamada, L Sigal, M Raptis IEEE transactions on pattern analysis and machine intelligence 36 (2), 235-247, 2013 | 5 | 2013 |
| Dependence maximizing temporal alignment via squared-loss mutual information M Yamada, L Sigal, M Raptis, M Sugiyama arXiv preprint arXiv:1206.4116, 2012 | 2 | 2012 |
Stefano SoattoProfessor of Computer Science, UCLAVerified email at ucla.edu
