Ravichandran, Avinash

31 publications

ICLRW 2025 Training Domain Draft Models for Speculative Decoding: Best Practices and Insights Fenglu Hong, Ravi Shanker Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu

CVPR 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

CVPR 2023 Learning Expressive Prompting with Residuals for Vision Transformers Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan

ICLR 2023 Masked Vision and Language Modeling for Multi-Modal Representation Learning Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto

CVPR 2023 WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer

NeurIPS 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

CVPR 2022 Class-Incremental Learning with Strong Pre-Trained Models Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto

ICLR 2022 DIVA: Dataset Derivative of a Learning Task Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto

ECCV 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

NeurIPS 2022 Semi-Supervised Vision Transformers at Scale Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto

CVPR 2022 Task Adaptive Parameter Sharing for Multi-Task Learning Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless Fowlkes, Rahul Bhotika, Stefano Soatto

ECCV 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

ICLR 2021 Estimating Informativeness of Samples with Smooth Unique Information Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

CVPR 2021 Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless Fowlkes, Zhuowen Tu, Stefano Soatto

CVPR 2021 LQF: Linear Quadratic Fine-Tuning Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto

CVPR 2021 Mixed-Privacy Forgetting in Deep Networks Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto

NeurIPS 2021 Uniform Sampling over Episode Difficulty Sébastien Arnold, Guneet Dhillon, Avinash Ravichandran, Stefano Soatto

ICLR 2020 A Baseline for Few-Shot Image Classification Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto

ECCV 2020 Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

NeurIPS 2020 Predicting Training Time Without Training Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

ICLR 2020 Rethinking the Hyperparameters for Fine-Tuning Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

CVPR 2014 Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation Vasiliy Karasev, Avinash Ravichandran, Stefano Soatto

CVPR 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

ECCV 2012 Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection Avinash Ravichandran, Stefano Soatto

ECCV 2012 SuperFloxels: A Mid-Level Representation for Video Sequences Avinash Ravichandran, Chaohui Wang, Michalis Raptis, Stefano Soatto

ECCVW 2012 SuperFloxels: A Mid-Level Representation for Video Sequences Avinash Ravichandran, Chaohui Wang, Michalis Raptis, Stefano Soatto

CVPR 2011 A Closed Form Solution to Robust Subspace Estimation and Clustering Paolo Favaro, René Vidal, Avinash Ravichandran

CVPR 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

CVPR 2009 View-Invariant Dynamic Texture Recognition Using a Bag of Dynamical Systems Avinash Ravichandran, Rizwan Chaudhry, René Vidal

ECCV 2008 Video Registration Using Dynamic Textures Avinash Ravichandran, René Vidal

CVPR 2005 Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures René Vidal, Avinash Ravichandran