Avinash Ravichandran

According to our database, Avinash Ravichandran authored at least 45 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models.

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

CoRR, 2023

Your representations are in the network: composable and parallel adaptation for large scale models.

Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Masked Vision and Language Modeling for Multi-modal Representation Learning.

Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto

Proceedings of the Eleventh International Conference on Learning Representations, 2023

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation.

Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Meta-Learning Approach to Predicting Performance and Data Requirements.

Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Expressive Prompting With Residuals for Vision Transformers.

Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers.

Achin Jain, Kibok Lee, Gurumurthy Swaminathan, Hao Yang, Bernt Schiele, Avinash Ravichandran, Onkar Dabeer

CoRR, 2022

Semi-supervised Vision Transformers at Scale.

Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DIVA: Dataset Derivative of a Learning Task.

Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto

Proceedings of the Tenth International Conference on Learning Representations, 2022

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark.

Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer

Proceedings of the Computer Vision - ECCV 2022, 2022

X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks.

Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Incremental Learning with Strong Pre-trained Models.

Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task Adaptive Parameter Sharing for Multi-Task Learning.

Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Representation Consolidation for Training Expert Students.

Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto

CoRR, 2021

A linearized framework and a new benchmark for model selection for fine-tuning.

Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona

CoRR, 2021

Revisiting Contrastive Learning for Few-Shot Classification.

Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto

CoRR, 2021

Uniform Sampling over Episode Difficulty.

Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating informativeness of samples with Smooth Unique Information.

Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 9th International Conference on Learning Representations, 2021

Mixed-Privacy Forgetting in Deep Networks.

Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning.

Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LQF: Linear Quadratic Fine-Tuning.

Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Continual Universal Object Detection.

Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

CoRR, 2020

Incremental Learning for Metric-Based Meta-Learners.

Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

CoRR, 2020

Predicting Training Time Without Training.

Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rethinking the Hyperparameters for Fine-tuning.

Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 8th International Conference on Learning Representations, 2020

A Baseline for Few-Shot Image Classification.

Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto

Proceedings of the 8th International Conference on Learning Representations, 2020

Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment.

Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unbiased Evaluation of Deep Metric Learning Algorithms.

István Fehérvári, Avinash Ravichandran, Srikar Appalaraju

CoRR, 2019

Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training.

Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Task2Vec: Task Embedding for Meta-Learning.

Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Meta-Learning With Differentiable Convex Optimization.

Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2014

Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation.

Vasiliy Karasev, Avinash Ravichandran, Stefano Soatto

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Categorizing Dynamic Textures Using a Bag of Dynamical Systems.

Avinash Ravichandran, Rizwan Chaudhry, René Vidal

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework.

Brian Taylor, Alper Ayvaci, Avinash Ravichandran, Stefano Soatto

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012

SuperFloxels: A Mid-level Representation for Video Sequences.

Avinash Ravichandran, Chaohui Wang, Michalis Raptis, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection.

Avinash Ravichandran, Stefano Soatto

Proceedings of the Computer Vision - ECCV 2012, 2012

Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes.

Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandran, René Vidal

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Image Priors for Image Deblurring with Uncertain Blur.

Daniele Perrone, Avinash Ravichandran, René Vidal, Paolo Favaro

Proceedings of the British Machine Vision Conference, 2012

2011

Video Registration Using Dynamic Textures.

Avinash Ravichandran, René Vidal

IEEE Trans. Pattern Anal. Mach. Intell., 2011

A closed form solution to robust subspace estimation and clustering.

Paolo Favaro, René Vidal, Avinash Ravichandran

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A Unified Approach to Segmentation and Categorization of Dynamic Textures.

Avinash Ravichandran, Paolo Favaro, René Vidal

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

View-invariant dynamic texture recognition using a bag of dynamical systems.

Avinash Ravichandran, Rizwan Chaudhry, René Vidal

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions.

Rizwan Chaudhry, Avinash Ravichandran, Gregory D. Hager, René Vidal

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2006

Segmenting a beating heart using polysegment and Spatial GPCA.

Avinash Ravichandran, René Vidal, Henry R. Halperin

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005

Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures.

René Vidal, Avinash Ravichandran

Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005