| Histograms of oriented optical flow and binet-cauchy kernels on nonlinear dynamical systems for the recognition of human actions R Chaudhry, A Ravichandran, G Hager, R Vidal 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1932-1939, 2009 | 614 | 2009 |
| A closed form solution to robust subspace estimation and clustering P Favaro, R Vidal, A Ravichandran CVPR 2011, 1801-1807, 2011 | 269 | 2011 |
| Optical flow estimation & segmentation of multiple moving dynamic textures R Vidal, A Ravichandran 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 132 | 2005 |
| Optical flow estimation & segmentation of multiple moving dynamic textures R Vidal, A Ravichandran Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer …, 2005 | 130 | 2005 |
| View-invariant dynamic texture recognition using a bag of dynamical systems A Ravichandran, R Chaudhry, R Vidal 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1651-1657, 2009 | 128 | 2009 |
| Categorizing Dynamic Textures using a Bag of Dynamical Systems A Ravichandran, R Chaudhry, R Vidal IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 | 107 | 2012 |
| Meta-learning with differentiable convex optimization K Lee, S Maji, A Ravichandran, S Soatto Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 77 | 2019 |
| Video Registration Using Dynamic Textures A Ravichandran, R Vidal European Conference on Computer Vision, 514-526, 2008 | 54 | 2008 |
| Video registration using dynamic textures A Ravichandran, R Vidal IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 158-171, 2010 | 43 | 2010 |
| Group action induced distances for averaging and clustering linear dynamical systems with applications to the analysis of dynamic scenes B Afsari, R Chaudhry, A Ravichandran, R Vidal 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2208-2215, 2012 | 40 | 2012 |
| Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes B Afsari, R Chaudhry, A Ravichandran, R Vidal Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012 | 40 | 2012 |
| Task2vec: Task embedding for meta-learning A Achille, M Lam, R Tewari, A Ravichandran, S Maji, CC Fowlkes, ... Proceedings of the IEEE International Conference on Computer Vision, 6430-6439, 2019 | 22 | 2019 |
| Active frame, location, and detector selection for automated and manual video annotation V Karasev, A Ravichandran, S Soatto Tech Report UCLACSD140010, 2014. 4, 2014 | 21 | 2014 |
| A unified approach to segmentation and categorization of dynamic textures A Ravichandran, P Favaro, R Vidal Asian Conference on Computer Vision, 425-438, 2010 | 21 | 2010 |
| Semantic video segmentation from occlusion relations within a convex optimization framework B Taylor, A Ayvaci, A Ravichandran, S Soatto International Workshop on Energy Minimization Methods in Computer Vision and …, 2013 | 15 | 2013 |
| Cluster-trained machine learning for image processing MF Tappen, AA Ravichandran, H Boyraz, B Liu US Patent 9,704,054, 2017 | 12 | 2017 |
| Segmenting a beating heart using polysegment and spatial GPCA A Ravichandran, R Vidal, H Halperin 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 …, 2006 | 11 | 2006 |
| Long-range spatio-temporal modeling of video with application to fire detection A Ravichandran, S Soatto European Conference on Computer Vision, 329-342, 2012 | 10 | 2012 |
| A baseline for few-shot image classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto arXiv preprint arXiv:1909.02729, 2019 | 9 | 2019 |
| Superfloxels: A mid-level representation for video sequences A Ravichandran, C Wang, M Raptis, S Soatto European Conference on Computer Vision, 131-140, 2012 | 9 | 2012 |
Rene VidalData Science, Imaging Science, Biomedical Engineering, Computer Science, Electrical, MechanicalVerified email at jhu.edu
