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Avinash Ravichandran
Avinash Ravichandran
Principal Applied Scientist, Perception, Cruise
Verified email at cis.jhu.edu
Title
Cited by
Cited by
Year
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
13222019
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
8772009
A baseline for few-shot image classification
GS Dhillon, P Chaudhari, A Ravichandran, S Soatto
arXiv preprint arXiv:1909.02729, 2019
5952019
A closed form solution to robust subspace estimation and clustering
P Favaro, R Vidal, A Ravichandran
CVPR 2011, 1801-1807, 2011
3692011
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
2852019
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
1992019
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
1532009
Optical flow estimation & segmentation of multiple moving dynamic textures
R Vidal, A Ravichandran
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
1412005
Optical flow estimation & segmentation of multiple moving dynamic textures
R Vidal, A Ravichandran
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer …, 2005
1412005
Categorizing Dynamic Textures using a Bag of Dynamical Systems
A Ravichandran, R Chaudhry, R Vidal
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
1302012
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
1232020
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
972021
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
912021
Video registration using dynamic textures
A Ravichandran, R Vidal
IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (1), 158-171, 2010
572010
Video Registration Using Dynamic Textures
A Ravichandran, R Vidal
European Conference on Computer Vision, 514-526, 2008
572008
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
532022
Cluster-trained machine learning for image processing
MF Tappen, AA Ravichandran, H Boyraz, B Liu
US Patent 9,704,054, 2017
472017
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
452022
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
442012
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
442012
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