Avinash Ravichandran

73 papers A* 25A 1Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation. CoRR Reza Akbarian Bafghi, Carden Bagwell, Avinash Ravichandran, Ashish Shrivastava, Maziar Raissi
2025	J	`jnl`	Training Domain Draft Models for Speculative Decoding: Best Practices and Insights. CoRR Fenglu Hong, Ravi Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu
2024	J	`jnl`	CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning. CoRR Runjian Chen, Hang Zhang, Avinash Ravichandran, Wenqi Shao, Alex Wong, Ping Luo
2024	J	`jnl`	GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR. CoRR Bharat Singh, Viveka Kulharia, Luyu Yang, Avinash Ravichandran, Ambrish Tyagi, Ashish Shrivastava
2024	J	`jnl`	InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. CoRR Nirat Saini, Navaneeth Bodla, Ashish Shrivastava, Avinash Ravichandran, Xiao Zhang, Abhinav Shrivastava, Bharat Singh
2024	J	`jnl`	VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. CoRR Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff
2023	A*	`conf`	A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto
2023	J	`jnl`	Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
2023	A*	`conf`	Learning Expressive Prompting With Residuals for Vision Transformers. CVPR Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan
2023	J	`jnl`	Learning Expressive Prompting With Residuals for Vision Transformers. CoRR Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan
2023	A*	`conf`	Masked Vision and Language Modeling for Multi-modal Representation Learning. ICLR Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
2023	A*	`conf`	WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
2023	J	`jnl`	WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer
2023	A*	`conf`	Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto
2022	A*	`conf`	Class-Incremental Learning with Strong Pre-trained Models. CVPR Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Class-Incremental Learning with Strong Pre-trained Models. CoRR Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers. CoRR Achin Jain, Kibok Lee, Gurumurthy Swaminathan, Hao Yang, Bernt Schiele, Avinash Ravichandran, Onkar Dabeer
2022	A*	`conf`	DIVA: Dataset Derivative of a Learning Task. ICLR Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2022	J	`jnl`	Masked Vision and Language Modeling for Multi-modal Representation Learning. CoRR Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
2022	—	`conf`	Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. ECCV (20) Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer
2022	J	`jnl`	Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. CoRR Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer
2022	A*	`conf`	Semi-supervised Vision Transformers at Scale. NeurIPS Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022	J	`jnl`	Semi-supervised Vision Transformers at Scale. CoRR Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto
2022	A*	`conf`	Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto
2022	—	`conf`	X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
2022	J	`jnl`	X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	A linearized framework and a new benchmark for model selection for fine-tuning. CoRR Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona
2021	J	`jnl`	DIVA: Dataset Derivative of a Learning Task. CoRR Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	Estimating informativeness of samples with Smooth Unique Information. ICLR Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	Estimating informativeness of samples with Smooth Unique Information. CoRR Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2021	A*	`conf`	Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto
2021	J	`jnl`	Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto
2021	A*	`conf`	LQF: Linear Quadratic Fine-Tuning. CVPR Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	A*	`conf`	Mixed-Privacy Forgetting in Deep Networks. CVPR Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2021	J	`jnl`	Representation Consolidation for Training Expert Students. CoRR Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto
2021	J	`jnl`	Revisiting Contrastive Learning for Few-Shot Classification. CoRR Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto
2021	A*	`conf`	Uniform Sampling over Episode Difficulty. NeurIPS Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto
2021	J	`jnl`	Uniform Sampling over Episode Difficulty. CoRR Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto
2020	A*	`conf`	A Baseline for Few-Shot Image Classification. ICLR Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto
2020	J	`jnl`	Continual Universal Object Detection. CoRR Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	—	`conf`	Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. ECCV (7) Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Incremental Learning for Metric-Based Meta-Learners. CoRR Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	LQF: Linear Quadratic Fine-Tuning. CoRR Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2020	J	`jnl`	Mixed-Privacy Forgetting in Deep Networks. CoRR Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto
2020	A*	`conf`	Predicting Training Time Without Training. NeurIPS Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Predicting Training Time Without Training. CoRR Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	A*	`conf`	Rethinking the Hyperparameters for Fine-tuning. ICLR Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	J	`jnl`	Rethinking the Hyperparameters for Fine-tuning. CoRR Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2019	J	`jnl`	A Baseline for Few-Shot Image Classification. CoRR Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto
2019	A*	`conf`	Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. ICCV Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2019	J	`jnl`	Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training. CoRR Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2019	A*	`conf`	Meta-Learning With Differentiable Convex Optimization. CVPR Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto
2019	J	`jnl`	Meta-Learning with Differentiable Convex Optimization. CoRR Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto
2019	A*	`conf`	Task2Vec: Task Embedding for Meta-Learning. ICCV Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019	J	`jnl`	Task2Vec: Task Embedding for Meta-Learning. CoRR Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona
2019	J	`jnl`	Unbiased Evaluation of Deep Metric Learning Algorithms. CoRR István Fehérvári, Avinash Ravichandran, Srikar Appalaraju
2014	A*	`conf`	Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation. CVPR Vasiliy Karasev, Avinash Ravichandran, Stefano Soatto
2013	J	`jnl`	Categorizing Dynamic Textures Using a Bag of Dynamical Systems. IEEE Trans. Pattern Anal. Mach. Intell. Avinash Ravichandran, Rizwan Chaudhry, René Vidal
2013	—	`conf`	Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework. EMMCVPR Brian Taylor, Alper Ayvaci, Avinash Ravichandran, Stefano Soatto
2012	A*	`conf`	Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes. CVPR Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandran, René Vidal
2012	A	`conf`	Image Priors for Image Deblurring with Uncertain Blur. BMVC Daniele Perrone, Avinash Ravichandran, René Vidal, Paolo Favaro
2012	—	`conf`	Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection. ECCV (2) Avinash Ravichandran, Stefano Soatto
2012	—	`conf`	SuperFloxels: A Mid-level Representation for Video Sequences. ECCV Workshops (3) Avinash Ravichandran, Chaohui Wang, Michalis Raptis, Stefano Soatto
2011	A*	`conf`	A closed form solution to robust subspace estimation and clustering. CVPR Paolo Favaro, René Vidal, Avinash Ravichandran
2011	J	`jnl`	Video Registration Using Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. Avinash Ravichandran, René Vidal
2010	—	`conf`	A Unified Approach to Segmentation and Categorization of Dynamic Textures. ACCV (1) Avinash Ravichandran, Paolo Favaro, René Vidal
2009	A*	`conf`	Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions. CVPR Rizwan Chaudhry, Avinash Ravichandran, Gregory D. Hager, René Vidal
2009	A*	`conf`	View-invariant dynamic texture recognition using a bag of dynamical systems. CVPR Avinash Ravichandran, Rizwan Chaudhry, René Vidal
2008	—	`conf`	Video Registration Using Dynamic Textures. ECCV (2) Avinash Ravichandran, René Vidal
2006	—	`conf`	Segmenting a beating heart using polysegment and Spatial GPCA. ISBI Avinash Ravichandran, René Vidal, Henry R. Halperin
2005	—	`conf`	Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures. CVPR (2) René Vidal, Avinash Ravichandran