Yonatan Dukler and Alessandro Achille and Hao Yang and Varsha Vivek and Luca Zancato and Benjamin Bowman and Avinash Ravichandran and Charless Fowlkes and Ashwin Swaminathan and Stefano Soatto (2023). "Your representations are in the network: composable and parallel adaptation for large scale models" Advances in Neural Information Processing Systems. Advances in Neural Information Processing Systems, 2023
Jongheon Jeong and Yang Zou and Taewan Kim and Dongqing Zhang and Avinash Ravichandran and Onkar Dabeer (2023). "Winclip: Zero-/few-shot anomaly classification and segmentation" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Rajshekhar Das and Yonatan Dukler and Avinash Ravichandran and Ashwin Swaminathan (2023). "Learning expressive prompting with residuals for vision transformers" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Achin Jain and Gurumurthy Swaminathan and Paolo Favaro and Hao Yang and Avinash Ravichandran and Hrayr Harutyunyan and Alessandro Achille and Onkar Dabeer and Bernt Schiele and Ashwin Swaminathan and Stefano Soatto (2023). "A meta-learning approach to predicting performance and data requirements" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Zhaowei Cai and Gukyeong Kwon and Avinash Ravichandran and Erhan Bas and Zhuowen Tu and Rahul Bhotika and Stefano Soatto (2022). "X-detr: A versatile architecture for instance-wise vision-language tasks" ECCV 2022. ECCV 2022, 2022
Matthew Wallingford and Hao Li and Alessandro Achille and Avinash Ravichandran and Charless Fowlkes and Rahul Bhotika and Stefano Soatto (2022). "Task adaptive parameter sharing for multi-task learning" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Zhaowei Cai and Avinash Ravichandran and Paolo Favaro and Manchen Wang and Davide Modolo and Rahul Bhotika and Zhuowen Tu and Stefano Soatto (2022). "Semi-supervised vision transformers at scale" Advances in Neural Information Processing Systems. Advances in Neural Information Processing Systems, 2022
Kibok Lee and Hao Yang and Satyaki Chakraborty and Zhaowei Cai and Gurumurthy Swaminathan and Avinash Ravichandran and Onkar Dabeer (2022). "Rethinking few-shot object detection on a multi-domain benchmark" ECCV 2022. ECCV 2022, 2022
Tz-Ying Wu and Gurumurthy Swaminathan and Zhizhong Li and Avinash Ravichandran and Nuno Vasconcelos and Rahul Bhotika and Stefano Soatto (2022). "Class-incremental learning with strong pre-trained models" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Sébastien Arnold and Guneet Dhillon and Avinash Ravichandran and Stefano Soatto (2021). "Uniform sampling over episode difficulty" Advances in Neural Information Processing Systems. Advances in Neural Information Processing Systems, 2021
Aditya Golatkar and Alessandro Achille and Avinash Ravichandran and Marzia Polito and Stefano Soatto (2021). "Mixed-privacy forgetting in deep networks" Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021
Alessandro Achille and Aditya Golatkar and Avinash Ravichandran and Marzia Polito and Stefano Soatto (2021). "Lqf: Linear quadratic fine-tuning" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
Zhaowei Cai and Avinash Ravichandran and Subhransu Maji and Charless Fowlkes and Zhuowen Tu and Stefano Soatto (2021). "Exponential moving average normalization for self-supervised and semi-supervised learning" Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2021
Luca Zancato and Alessandro Achille and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2020). "Predicting training time without training" Advances in Neural Information Processing Systems. Advances in Neural Information Processing Systems, 2020
Qing Liu and Orchid Majumder and Alessandro Achille and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2020). "Incremental few-shot meta-learning via indirect discriminant alignment" ECCV 2020. ECCV 2020, 2020
Guneet Singh Dhillon and Pratik Chaudhari and Avinash Ravichandran and Stefano Soatto (2020). "A baseline for few-shot image classification" ICLR 2020. ICLR 2020, 2020
Alessandro Achille and Michael Lam and Rahul Tewari and Avinash Ravichandran and Subhransu Maji and Charless C Fowlkes and Stefano Soatto and Pietro Perona (2019). "Task2vec: Task embedding for meta-learning" Proceedings of the IEEE/CVF international conference on computer vision. Proceedings of the IEEE/CVF international conference on computer vision, 2019
Kwonjoon Lee and Subhransu Maji and Avinash Ravichandran and Stefano Soatto (2019). "Meta-learning with differentiable convex optimization" Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2019
Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2019). "Few-shot learning with embedded class models and shot-free meta training" Proceedings of the IEEE/CVF international conference on computer vision. Proceedings of the IEEE/CVF international conference on computer vision, 2019
Brian Taylor and Alper Ayvaci and Avinash Ravichandran and Stefano Soatto (2013). "Semantic video segmentation from occlusion relations within a convex optimization framework" Springer Berlin Heidelberg. Springer Berlin Heidelberg, 2013
Avinash Ravichandran and Chaohui Wang and Michalis Raptis and Stefano Soatto (2012). "Superfloxels: A mid-level representation for video sequences" ECCV 2012 workshops. ECCV 2012 workshops, 2012
Avinash Ravichandran and Stefano Soatto (2012). "Long-range spatio-temporal modeling of video with application to fire detection" Springer Berlin Heidelberg. Springer Berlin Heidelberg, 2012
Daniele Perrone and Avinash Ravichandran and René Vidal and Paolo Favaro (2012). "Image Priors for Image Deblurring with Uncertain Blur." BMVC. BMVC, 2012
Bijan Afsari and Rizwan Chaudhry and Avinash Ravichandran and René Vidal (2012). "Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes" CVPR 2012. CVPR 2012, 2012
Georgios Georgiadis and Avinash Ravichandran and Stefano Soatto and Alessandro Chiuso (2012). "Encoding scene structures for video compression" SPIE. SPIE, 2012
Paolo Favaro and René Vidal and Avinash Ravichandran (2011). "A closed form solution to robust subspace estimation and clustering" CVPR 2011. CVPR 2011, 2011
Avinash Ravichandran and Paolo Favaro and René Vidal (2010). "A unified approach to segmentation and categorization of dynamic textures" Springer Berlin Heidelberg. Springer Berlin Heidelberg, 2010
Avinash Ravichandran and Rizwan Chaudhry and René Vidal (2009). "View-invariant dynamic texture recognition using a bag of dynamical systems" CVPR 2009. CVPR 2009, 2009
Rizwan Chaudhry and Avinash Ravichandran and Gregory Hager and René Vidal (2009). "Histograms of oriented optical flow and binet-cauchy kernels on nonlinear dynamical systems for the recognition of human actions" IEEE. IEEE, 2009
Avinash Ravichandran and René Vidal and Henry Halperin (2006). "Segmenting a beating heart using polysegment and spatial GPCA" ISBI 2006. ISBI 2006, 2006
Yonatan Dukler and Alessandro Achille and Hao Yang and Varsha Vivek and Luca Zancato and Benjamin Bowman and Avinash Ravichandran and Charless C Fowlkes and Ashwin Swaminathan and Stefano Soatto (2023). "Introspective cross-attention probing for lightweight transfer of pre-trained models" CoRR. CoRR, 2023
Avinash Ravichandran and Rizwan Chaudhry and Rene Vidal (2012). "Categorizing Dynamic Textures using a Bag of Dynamical Systems" IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Fenglu Hong and Ravi Raju and Jonathan Lingjie Li and Bo Li and Urmish Thakker and Avinash Ravichandran and Swayambhoo Jain and Changran Hu (2025). "Training Domain Draft Models for Speculative Decoding: Best Practices and Insights" arXiv preprint arXiv:2503.07807. arXiv preprint arXiv:2503.07807, 2025
Zaiwei Zhang and Gregory P Meyer and Zhichao Lu and Ashish Shrivastava and Avinash Ravichandran and Eric M Wolff (2024). "Vlm-kd: Knowledge distillation from vlm for long-tail visual recognition" arXiv preprint arXiv:2408.16930. arXiv preprint arXiv:2408.16930, 2024
Nirat Saini and Navaneeth Bodla and Ashish Shrivastava and Avinash Ravichandran and Xiao Zhang and Abhinav Shrivastava and Bharat Singh (2024). "Invi: Object insertion in videos using off-the-shelf diffusion models" arXiv preprint arXiv:2407.10958. arXiv preprint arXiv:2407.10958, 2024
Bharat Singh and Viveka Kulharia and Luyu Yang and Avinash Ravichandran and Ambrish Tyagi and Ashish Shrivastava (2024). "Genmm: Geometrically and temporally consistent multimodal data generation for video and lidar" arXiv preprint arXiv:2406.10722. arXiv preprint arXiv:2406.10722, 2024
Runjian Chen and Hang Zhang and Avinash Ravichandran and Hyoungseob Park and Wenqi Shao and Alex Wong and Ping Luo (2024). "CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning" arXiv preprint arXiv:2412.03059. arXiv preprint arXiv:2412.03059, 2024
Gukyeong Kwon and Zhaowei Cai and Avinash Ravichandran and Erhan Bas and Rahul Bhotika and Stefano Soatto (2022). "Masked vision and language modeling for multi-modal representation learning" arXiv preprint arXiv:2208.02131. arXiv preprint arXiv:2208.02131, 2022
Achin Jain and Kibok Lee and Gurumurthy Swaminathan and Hao Yang and Bernt Schiele and Avinash Ravichandran and Onkar Dabeer (2022). "Completr: Reducing the cost of annotations for object detection in dense scenes with vision transformers" arXiv preprint arXiv:2209.05654. arXiv preprint arXiv:2209.05654, 2022
Orchid Majumder and Avinash Ravichandran and Subhransu Maji and Alessandro Achille and Marzia Polito and Stefano Soatto (2021). "Supervised momentum contrastive learning for few-shot classification" arXiv preprint arXiv:2101.11058. arXiv preprint arXiv:2101.11058, 2021
Orchid Majumder and Avinash Ravichandran and Subhransu Maji and Marzia Polito and Rahul Bhotika and Stefano Soatto (2021). "Revisiting contrastive learning for few-shot classification" arXiv preprint. arXiv preprint, 2021
Zhizhong Li and Avinash Ravichandran and Charless Fowlkes and Marzia Polito and Rahul Bhotika and Stefano Soatto (2021). "Representation consolidation for training expert students" arXiv preprint arXiv:2107.08039. arXiv preprint arXiv:2107.08039, 2021
Hrayr Harutyunyan and Alessandro Achille and Giovanni Paolini and Orchid Majumder and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2021). "Estimating informativeness of samples with smooth unique information" arXiv preprint arXiv:2101.06640. arXiv preprint arXiv:2101.06640, 2021
Yonatan Dukler and Alessandro Achille and Giovanni Paolini and Avinash Ravichandran and Marzia Polito and Stefano Soatto (2021). "Diva: Dataset derivative of a learning task" arXiv preprint arXiv:2111.09785. arXiv preprint arXiv:2111.09785, 2021
Aditya Deshpande and Alessandro Achille and Avinash Ravichandran and Hao Li and Luca Zancato and Charless Fowlkes and Rahul Bhotika and Stefano Soatto and Pietro Perona (2021). "A linearized framework and a new benchmark for model selection for fine-tuning" arXiv preprint arXiv:2102.00084. arXiv preprint arXiv:2102.00084, 2021
Hao Li and Pratik Chaudhari and Hao Yang and Michael Lam and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2020). "Rethinking the hyperparameters for fine-tuning" arXiv preprint arXiv:2002.11770. arXiv preprint arXiv:2002.11770, 2020
Xialei Liu and Hao Yang and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2020). "Multi-task incremental learning for object detection" arXiv preprint arXiv:2002.05347. arXiv preprint arXiv:2002.05347, 2020
Qing Liu and Orchid Majumder and Alessandro Achille and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2020). "Incremental meta-learning via indirect discriminant alignment" arXiv preprint arXiv:2002.04162. arXiv preprint arXiv:2002.04162, 2020
Qing Liu and Orchid Majumder and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2020). "Incremental learning for metric-based meta-learners" ArXiv, abs/2002.04162. ArXiv, abs/2002.04162, 2020
Xialei Liu and Hao Yang and Avinash Ravichandran and Rahul Bhotika and Stefano Soatto (2020). "Continual universal object detection" arXiv preprint arXiv:2002.05347. arXiv preprint arXiv:2002.05347, 2020
Guneet S Dhillon and Pratik Chaudhari and Avinash Ravichandran and Stefano Soatto (2019). "A baseline for few-shot image classification" arXiv preprint arXiv:1909.02729. arXiv preprint arXiv:1909.02729, 2019
Barath Balasubramanian and Rahul Bhotika and Niels Brouwers and Ranju Das and Prakash Krishnan and Shaun Ryan James MCDOWELL and Anushri MAINTHIA and Rakesh Madhavan Nambiar and Anant Patel and Avinash Aghoram Ravichandran and Joaquin Zepeda Salvatierra and Gurumurthy Swaminathan (2024). "Feedback-based training for anomaly detection" . nan, 2024
Barath Balasubramanian and Rahul Bhotika and Niels Brouwers and Ranju Das and Prakash Krishnan and Shaun Ryan James MCDOWELL and Anushri MAINTHIA and Rakesh Madhavan Nambiar and Anant Patel and Avinash Aghoram Ravichandran and Joaquin Zepeda Salvatierra and Gurumurthy Swaminathan (2024). "Anomaly detection using feedback training" . nan, 2024
Leo Parker Dirac and Rakesh Madhavan Nambiar and Avinash Aghoram Ravichandran (2023). "Dynamically scaled training fleets for machine learning" . nan, 2023
Avinash Aghoram Ravichandran and Rahul Bhotika and Stefano Soatto and Pietro Perona and Hao Yang (2022). "Automated model selection for network-based image recognition service" . nan, 2022
Avinash Aghoram Ravichandran and Paulo Ricardo dos Santos Mendonca and Rahul Bhotika and Stefano Soatto (2021). "Prototypical network algorithms for few-shot learning" . nan, 2021
Leo Parker Dirac and Rakesh Madhavan Nambiar and Avinash Aghoram Ravichandran (2020). "Dynamically scaled training fleets for machine learning" . nan, 2020
Avinash Aghoram Ravichandran and Matias Omar Gregorio Benitez and Rahul Bhotika and Scott Daniel Helmer and Anshul Kumar Jain and Junxiong Jia and Rakesh Madhavan Nambiar and Oleg Rybakov (2019). "Object recognition" . nan, 2019
Avinash Aghoram Ravichandran and Matias Omar Gregorio Benitez and Rahul Bhotika and Scott Daniel Helmer and Anshul Kumar Jain and Junxiong Jia and Rakesh Madhavan Nambiar and Oleg Rybakov (2017). "Object recognition" . nan, 2017
Marshall Friend Tappen and Avinash Aghoram Ravichandran and Hakan Boyraz and Baoyuan Liu (2017). "Cluster-trained machine learning for image processing" . nan, 2017
Oleg Rybakov and Avinash Aghoram Ravichandran and Daniel Bibireata and Ajay Kumar Mishra and Wei Zhang (2017). "Approaches for scene-based object tracking" . nan, 2017
