| Meta-learning with differentiable convex optimization K Lee, S Maji, A Ravichandran, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1011 | 2019 |
| 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 | 825 | 2009 |
| A baseline for few-shot image classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto arXiv preprint arXiv:1909.02729, 2019 | 438 | 2019 |
| A closed form solution to robust subspace estimation and clustering P Favaro, R Vidal, A Ravichandran CVPR 2011, 1801-1807, 2011 | 349 | 2011 |
| Task2vec: Task embedding for meta-learning A Achille, M Lam, R Tewari, A Ravichandran, S Maji, CC Fowlkes, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 209 | 2019 |
| 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 | 151 | 2009 |
| Few-shot learning with embedded class models and shot-free meta training A Ravichandran, R Bhotika, S Soatto Proceedings of the IEEE/CVF International Conference on Computer Vision, 331-339, 2019 | 150 | 2019 |
| Optical flow estimation & segmentation of multiple moving dynamic textures R Vidal, A Ravichandran 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 142 | 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 | 142 | 2005 |
| Categorizing Dynamic Textures using a Bag of Dynamical Systems A Ravichandran, R Chaudhry, R Vidal IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 | 130 | 2012 |
| Rethinking the Hyperparameters for Fine-tuning H Li, P Chaudhari, H Yang, M Lam, A Ravichandran, R Bhotika, S Soatto arXiv preprint arXiv:2002.11770, 2020 | 86 | 2020 |
| Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning Z Cai, A Ravichandran, S Maji, C Fowlkes, Z Tu, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 59 | 2021 |
| Video registration using dynamic textures A Ravichandran, R Vidal IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 158-171, 2010 | 58 | 2010 |
| Video Registration Using Dynamic Textures A Ravichandran, R Vidal European Conference on Computer Vision, 514-526, 2008 | 58 | 2008 |
| Mixed-Privacy Forgetting in Deep Networks A Golatkar, A Achille, A Ravichandran, M Polito, S Soatto Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 52 | 2021 |
| 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 | 43 | 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 | 43 | 2012 |
| Cluster-trained machine learning for image processing MF Tappen, AA Ravichandran, H Boyraz, B Liu US Patent 9,704,054, 2017 | 39 | 2017 |
| Active frame, location, and detector selection for automated and manual video annotation V Karasev, A Ravichandran, S Soatto Tech Report UCLACSD140010, 2014. 4, 2014 | 28 | 2014 |
| A linearized framework and a new benchmark for model selection for fine-tuning A Deshpande, A Achille, A Ravichandran, H Li, L Zancato, C Fowlkes, ... arXiv preprint arXiv:2102.00084, 2021 | 24 | 2021 |
Stefano SoattoProfessor of Computer Science, UCLA; VP, AWSVerified email at ucla.edu
