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Samarth Mishra
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2020 – today
- 2024
- [j2]Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama:
Interpretable Compositional Representations for Robust Few-Shot Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1496-1512 (2024) - [i10]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. CoRR abs/2401.00420 (2024) - 2023
- [c13]Ruizhao Zhu, Pengkai Zhu, Samarth Mishra, Venkatesh Saligrama:
Fine-grained Few-shot Recognition by Deep Object Parsing. BMVC 2023: 330-331 - [c12]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. NeurIPS 2023 - [i9]Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li:
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR abs/2303.14828 (2023) - [i8]Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris:
Learning Human Action Recognition Representations Without Real Humans. CoRR abs/2311.06231 (2023) - 2022
- [c11]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR 2022: 9184-9194 - [c10]Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris:
How Transferable are Video Representations Based on Synthetic Data? NeurIPS 2022 - [i7]Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama:
Learning Compositional Representations for Effective Low-Shot Generalization. CoRR abs/2204.08090 (2022) - [i6]Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama:
Fine-grained Few-shot Recognition by Deep Object Parsing. CoRR abs/2207.07110 (2022) - 2021
- [c9]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. BMVC 2021: 177 - [c8]Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. CVPR Workshops 2021: 3904-3909 - [c7]Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. ICCV 2021: 995-1004 - [c6]Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer:
Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW 2021: 1057-1066 - [c5]Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman:
VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) 2021: 66-79 - [c4]Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, YoungJin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li:
VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) 2021: 104-118 - [i5]Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. CoRR abs/2101.12727 (2021) - [i4]Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer:
Effectively Leveraging Attributes for Visual Similarity. CoRR abs/2105.01695 (2021) - [i3]Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman:
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR abs/2107.11011 (2021) - [i2]Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris:
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR abs/2112.00054 (2021) - 2020
- [j1]Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya:
A novel hybrid approach for automated detection of retinal detachment using ultrasound images. Comput. Biol. Medicine 120: 103704 (2020) - [c3]Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama:
Low Dimensional Visual Attributes: An Interpretable Image Encoding. ICPR Workshops (3) 2020: 90-102
2010 – 2019
- 2019
- [c2]Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg:
Incremental Object Learning From Contiguous Views. CVPR 2019: 8777-8786 - 2017
- [c1]Krishnendu Chatterjee, Bernhard Kragl, Samarth Mishra, Andreas Pavlogiannis:
Faster Algorithms for Weighted Recursive State Machines. ESOP 2017: 287-313 - [i1]Krishnendu Chatterjee, Bernhard Kragl, Samarth Mishra, Andreas Pavlogiannis:
Faster Algorithms for Weighted Recursive State Machines. CoRR abs/1701.04914 (2017)
Coauthor Index
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last updated on 2024-10-07 22:13 CEST by the dblp team
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