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2020 – today
- 2024
[i32]Bharat Singh, Viveka Kulharia, Luyu Yang, Avinash Ravichandran, Ambrish Tyagi, Ashish Shrivastava:
GenMM: Geometrically and Temporally Consistent Multimodal Data Generation for Video and LiDAR. CoRR abs/2406.10722 (2024)- [i31]Nirat Saini, Navaneeth Bodla, Ashish Shrivastava, Avinash Ravichandran, Xiao Zhang, Abhinav Shrivastava, Bharat Singh:
InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. CoRR abs/2407.10958 (2024) - [i30]Zaiwei Zhang, Gregory P. Meyer, Zhichao Lu, Ashish Shrivastava, Avinash Ravichandran, Eric M. Wolff:
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition. CoRR abs/2408.16930 (2024) - 2023
- [c36]Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan:
Learning Expressive Prompting With Residuals for Vision Transformers. CVPR 2023: 3366-3377 - [c35]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CVPR 2023: 3623-3632 - [c34]Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CVPR 2023: 19606-19616 - [c33]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. ICLR 2023 - [c32]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Your representations are in the network: composable and parallel adaptation for large scale models. NeurIPS 2023 - [i29]Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele
, Ashwin Swaminathan, Stefano Soatto:
A Meta-Learning Approach to Predicting Performance and Data Requirements. CoRR abs/2303.01598 (2023) - [i28]Yonatan Dukler, Alessandro Achille, Hao Yang, Varsha Vivek, Luca Zancato, Benjamin Bowman, Avinash Ravichandran, Charless C. Fowlkes, Ashwin Swaminathan, Stefano Soatto:
Introspective Cross-Attention Probing for Lightweight Transfer of Pre-trained Models. CoRR abs/2303.04105 (2023) - [i27]Jongheon Jeong, Yang Zou, Taewan Kim, Dongqing Zhang, Avinash Ravichandran, Onkar Dabeer:
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation. CoRR abs/2303.14814 (2023) - [i26]Rajshekhar Das, Yonatan Dukler, Avinash Ravichandran, Ashwin Swaminathan:
Learning Expressive Prompting With Residuals for Vision Transformers. CoRR abs/2303.15591 (2023) - 2022
- [c31]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CVPR 2022: 7551-7560 - [c30]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CVPR 2022: 9591-9600 - [c29]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. ECCV (36) 2022: 290-308 - [c28]Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer:
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. ECCV (20) 2022: 366-382 - [c27]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. ICLR 2022 - [c26]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. NeurIPS 2022 - [i25]Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto:
Task Adaptive Parameter Sharing for Multi-Task Learning. CoRR abs/2203.16708 (2022) - [i24]Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto:
Class-Incremental Learning with Strong Pre-trained Models. CoRR abs/2204.03634 (2022) - [i23]Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto:
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks. CoRR abs/2204.05626 (2022) - [i22]Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer:
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. CoRR abs/2207.11169 (2022) - [i21]Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto:
Masked Vision and Language Modeling for Multi-modal Representation Learning. CoRR abs/2208.02131 (2022) - [i20]Zhaowei Cai, Avinash Ravichandran, Paolo Favaro, Manchen Wang, Davide Modolo, Rahul Bhotika, Zhuowen Tu, Stefano Soatto:
Semi-supervised Vision Transformers at Scale. CoRR abs/2208.05688 (2022) - [i19]Achin Jain, Kibok Lee, Gurumurthy Swaminathan, Hao Yang, Bernt Schiele, Avinash Ravichandran, Onkar Dabeer:
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers. CoRR abs/2209.05654 (2022) - 2021
- [c25]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. CVPR 2021: 194-203 - [c24]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CVPR 2021: 792-801 - [c23]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CVPR 2021: 15729-15739 - [c22]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. ICLR 2021 - [c21]Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. NeurIPS 2021: 1481-1493 - [i18]Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Estimating informativeness of samples with Smooth Unique Information. CoRR abs/2101.06640 (2021) - [i17]Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto:
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning. CoRR abs/2101.08482 (2021) - [i16]Orchid Majumder, Avinash Ravichandran, Subhransu Maji, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Revisiting Contrastive Learning for Few-Shot Classification. CoRR abs/2101.11058 (2021) - [i15]Aditya Deshpande, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona:
A linearized framework and a new benchmark for model selection for fine-tuning. CoRR abs/2102.00084 (2021) - [i14]Zhizhong Li, Avinash Ravichandran, Charless C. Fowlkes, Marzia Polito, Rahul Bhotika, Stefano Soatto:
Representation Consolidation for Training Expert Students. CoRR abs/2107.08039 (2021) - [i13]Sébastien M. R. Arnold, Guneet S. Dhillon, Avinash Ravichandran, Stefano Soatto:
Uniform Sampling over Episode Difficulty. CoRR abs/2108.01662 (2021) - [i12]Yonatan Dukler, Alessandro Achille, Giovanni Paolini, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
DIVA: Dataset Derivative of a Learning Task. CoRR abs/2111.09785 (2021) - 2020
- [c20]Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment. ECCV (7) 2020: 685-701 - [c19]Guneet Singh Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto:
A Baseline for Few-Shot Image Classification. ICLR 2020 - [c18]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. ICLR 2020 - [c17]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. NeurIPS 2020 - [i11]Qing Liu, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Incremental Learning for Metric-Based Meta-Learners. CoRR abs/2002.04162 (2020) - [i10]Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Continual Universal Object Detection. CoRR abs/2002.05347 (2020) - [i9]Hao Li, Pratik Chaudhari, Hao Yang, Michael Lam, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Rethinking the Hyperparameters for Fine-tuning. CoRR abs/2002.11770 (2020) - [i8]Luca Zancato, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Predicting Training Time Without Training. CoRR abs/2008.12478 (2020) - [i7]Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
LQF: Linear Quadratic Fine-Tuning. CoRR abs/2012.11140 (2020) - [i6]Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto:
Mixed-Privacy Forgetting in Deep Networks. CoRR abs/2012.13431 (2020)
2010 – 2019
- 2019
- [c16]Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto:
Meta-Learning With Differentiable Convex Optimization. CVPR 2019: 10657-10665 - [c15]Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training. ICCV 2019: 331-339 - [c14]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. ICCV 2019: 6429-6438 - [i5]Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Stefano Soatto, Pietro Perona:
Task2Vec: Task Embedding for Meta-Learning. CoRR abs/1902.03545 (2019) - [i4]Kwonjoon Lee, Subhransu Maji, Avinash Ravichandran, Stefano Soatto:
Meta-Learning with Differentiable Convex Optimization. CoRR abs/1904.03758 (2019) - [i3]Avinash Ravichandran, Rahul Bhotika, Stefano Soatto:
Few-Shot Learning with Embedded Class Models and Shot-Free Meta Training. CoRR abs/1905.04398 (2019) - [i2]Guneet S. Dhillon, Pratik Chaudhari, Avinash Ravichandran, Stefano Soatto:
A Baseline for Few-Shot Image Classification. CoRR abs/1909.02729 (2019) - [i1]István Fehérvári, Avinash Ravichandran, Srikar Appalaraju:
Unbiased Evaluation of Deep Metric Learning Algorithms. CoRR abs/1911.12528 (2019) - 2014
- [c13]Vasiliy Karasev, Avinash Ravichandran, Stefano Soatto:
Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation. CVPR 2014: 2131-2138 - 2013
- [j2]Avinash Ravichandran, Rizwan Chaudhry, René Vidal:
Categorizing Dynamic Textures Using a Bag of Dynamical Systems. IEEE Trans. Pattern Anal. Mach. Intell. 35(2): 342-353 (2013) - [c12]Brian Taylor, Alper Ayvaci, Avinash Ravichandran, Stefano Soatto:
Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework. EMMCVPR 2013: 195-208 - 2012
- [c11]Daniele Perrone, Avinash Ravichandran, René Vidal, Paolo Favaro:
Image Priors for Image Deblurring with Uncertain Blur. BMVC 2012: 1-11 - [c10]Bijan Afsari, Rizwan Chaudhry, Avinash Ravichandran, René Vidal:
Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes. CVPR 2012: 2208-2215 - [c9]Avinash Ravichandran, Chaohui Wang, Michalis Raptis, Stefano Soatto:
SuperFloxels: A Mid-level Representation for Video Sequences. ECCV Workshops (3) 2012: 131-140 - [c8]Avinash Ravichandran, Stefano Soatto:
Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection. ECCV (2) 2012: 329-342 - 2011
- [j1]Avinash Ravichandran, René Vidal:
Video Registration Using Dynamic Textures. IEEE Trans. Pattern Anal. Mach. Intell. 33(1): 158-171 (2011) - [c7]Paolo Favaro, René Vidal, Avinash Ravichandran:
A closed form solution to robust subspace estimation and clustering. CVPR 2011: 1801-1807 - 2010
- [c6]Avinash Ravichandran, Paolo Favaro, René Vidal:
A Unified Approach to Segmentation and Categorization of Dynamic Textures. ACCV (1) 2010: 425-438
2000 – 2009
- 2009
- [c5]Avinash Ravichandran, Rizwan Chaudhry, René Vidal:
View-invariant dynamic texture recognition using a bag of dynamical systems. CVPR 2009: 1651-1657 - [c4]Rizwan Chaudhry, Avinash Ravichandran, Gregory D. Hager, René Vidal:
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions. CVPR 2009: 1932-1939 - 2008
- [c3]Avinash Ravichandran, René Vidal:
Video Registration Using Dynamic Textures. ECCV (2) 2008: 514-526 - 2006
- [c2]Avinash Ravichandran, René Vidal, Henry R. Halperin:
Segmenting a beating heart using polysegment and Spatial GPCA. ISBI 2006: 634-637 - 2005
- [c1]René Vidal, Avinash Ravichandran:
Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures. CVPR (2) 2005: 516-521
Coauthor Index
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last updated on 2024-09-30 00:06 CEST by the dblp team
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