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Gurumurthy Swaminathan
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2020 – today
- 2024
- [c9]Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo:
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CVPR Workshops 2024: 2576-2585 - 2023
- [c8]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 - [c7]Zudi Lin, Erhan Bas, Kunwar Yashraj Singh, Gurumurthy Swaminathan, Rahul Bhotika:
Relaxing Contrastiveness in Multimodal Representation Learning. WACV 2023: 2226-2235 - [i8]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) - [i7]Abdelhak Lemkhenter, Manchen Wang, Luca Zancato, Gurumurthy Swaminathan, Paolo Favaro, Davide Modolo:
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes. CoRR abs/2311.01646 (2023) - 2022
- [c6]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CVPR 2022: 9357-9366 - [c5]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 - [c4]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 - [i6]Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto:
Omni-DETR: Omni-Supervised Object Detection with Transformers. CoRR abs/2203.16089 (2022) - [i5]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) - [i4]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) - [i3]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) - 2020
- [i2]Ragav Venkatesan, Gurumurthy Swaminathan, Xiong Zhou, Anna Luo:
Out-of-the-box channel pruned networks. CoRR abs/2004.14584 (2020)
2010 – 2019
- 2019
- [c3]Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder:
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding. CVPR 2019: 2497-2506 - [i1]Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder:
d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding. CoRR abs/1905.12775 (2019) - 2013
- [c2]Mahesh Kumar Gellaboina, Dhananjayan Sridhar, Gurumurthy Swaminathan, Ibrahim Mohideen:
Aircraft push back direction indicator. ICIP 2013: 4559-4563
2000 – 2009
- 2007
- [c1]Gurumurthy Swaminathan, Vijendran G. Venkoparao, Saad Bedros:
Multiple appearance models for face tracking in surveillance videos. AVSS 2007: 383-387
Coauthor Index
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