| 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 | 1619 | 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 | 917 | 2009 |
| A baseline for few-shot image classification GS Dhillon, P Chaudhari, A Ravichandran, S Soatto arXiv preprint arXiv:1909.02729, 2019 | 730 | 2019 |
| A closed form solution to robust subspace estimation and clustering P Favaro, R Vidal, A Ravichandran CVPR 2011, 1801-1807, 2011 | 376 | 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 | 373 | 2019 |
| Winclip: Zero-/few-shot anomaly classification and segmentation J Jeong, Y Zou, T Kim, D Zhang, A Ravichandran, O Dabeer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 238 | 2023 |
| 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 | 222 | 2019 |
| 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 | 182 | 2021 |
| 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 | 177 | 2020 |
| 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 | 158 | 2009 |
| 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 |
| 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 | 141 | 2021 |
| Categorizing Dynamic Textures using a Bag of Dynamical Systems A Ravichandran, R Chaudhry, R Vidal IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 | 133 | 2012 |
| Class-incremental learning with strong pre-trained models TY Wu, G Swaminathan, Z Li, A Ravichandran, N Vasconcelos, R Bhotika, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 85 | 2022 |
| Task adaptive parameter sharing for multi-task learning M Wallingford, H Li, A Achille, A Ravichandran, C Fowlkes, R Bhotika, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 80 | 2022 |
| Masked vision and language modeling for multi-modal representation learning G Kwon, Z Cai, A Ravichandran, E Bas, R Bhotika, S Soatto arXiv preprint arXiv:2208.02131, 2022 | 71 | 2022 |
| Semi-supervised vision transformers at scale Z Cai, A Ravichandran, P Favaro, M Wang, D Modolo, R Bhotika, Z Tu, ... Advances in Neural Information Processing Systems 35, 25697-25710, 2022 | 59 | 2022 |
| Video Registration Using Dynamic Textures A Ravichandran, R Vidal European Conference on Computer Vision, 514-526, 2008 | 57 | 2008 |
| X-detr: A versatile architecture for instance-wise vision-language tasks Z Cai, G Kwon, A Ravichandran, E Bas, Z Tu, R Bhotika, S Soatto European Conference on Computer Vision, 290-308, 2022 | 54 | 2022 |
| Cluster-trained machine learning for image processing MF Tappen, AA Ravichandran, H Boyraz, B Liu US Patent 9,704,054, 2017 | 53 | 2017 |
Stefano SoattoProfessor of Computer Science, UCLA; Vice President, AWS AIEmail confirmado em ucla.edu
Rahul BhotikaChief AI Officer, UnitedHealth GroupEmail confirmado em optum.comRene VidalRachleff University Professor, University of Pennsylvania; Amazon Scholar; Chief Scientist, NORCEEmail confirmado em seas.upenn.edu
Alessandro AchillePrincipal Applied Scientist, Amazon Web Services and CaltechEmail confirmado em caltech.edu
Subhransu MajiAssociate Professor, University of Massachusetts, AmherstEmail confirmado em cs.umass.edu
Charless FowlkesDepartment of Computer Science, University of California, IrvineEmail confirmado em ics.uci.edu
Rizwan ChaudhryPrediction at CruiseEmail confirmado em getcruise.com
Hao YangAmazon AGIEmail confirmado em amazon.com
Paolo FavaroProfessor of Computer Vision, University of BernEmail confirmado em iam.unibe.ch
Zhaowei CaiAmazon Artificial General IntelligenceEmail confirmado em ucsd.edu
Guneet Singh DhillonUniversity of OxfordEmail confirmado em stats.ox.ac.uk
Pratik ChaudhariUniversity of PennsylvaniaEmail confirmado em seas.upenn.edu
Pietro PeronaCalifornia Institute of TechnologyEmail confirmado em caltech.edu
Kwonjoon LeeHonda Research Institute USAEmail confirmado em honda-ri.com
Hao LiAmazon AGIEmail confirmado em amazon.com
Zhuowen TuProfessor, Cognitive Science, Computer Science&Engineering, UC San DiegoEmail confirmado em ucsd.edu
Orchid MajumderPrincipal Research Engineer, AmazonEmail confirmado em amazon.com
Gregory HagerMandell Bellmore Professor of Computer Science, Johns Hopkins UniversityEmail confirmado em cs.jhu.edu
