Samarth Mishra

29 papers A* 6A 3Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	—	`conf`	SCRAMBLe: Enhancing Multimodal LLM Compositionality with Synthetic Preference Data. ICCVW Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	A*	`conf`	SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. CVPR Kevin Miller, Aditya Gangrade, Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2025	J	`jnl`	SPARC: Score Prompting and Adaptive Fusion for Zero-Shot Multi-Label Recognition in Vision-Language Models. CoRR Kevin Miller, Samarth Mishra, Aditya Gangrade, Kate Saenko, Venkatesh Saligrama
2024	J	`jnl`	Interpretable Compositional Representations for Robust Few-Shot Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama
2024	J	`jnl`	SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2023	A	`conf`	Fine-grained Few-shot Recognition by Deep Object Parsing. BMVC Ruizhao Zhu, Pengkai Zhu, Samarth Mishra, Venkatesh Saligrama
2023	A*	`conf`	Learning Human Action Recognition Representations Without Real Humans. NeurIPS Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Learning Human Action Recognition Representations Without Real Humans. CoRR Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR 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
2022	J	`jnl`	Fine-grained Few-shot Recognition by Deep Object Parsing. CoRR Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama
2022	A*	`conf`	How Transferable are Video Representations Based on Synthetic Data? NeurIPS Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
2022	J	`jnl`	Learning Compositional Representations for Effective Low-Shot Generalization. CoRR Samarth Mishra, Pengkai Zhu, Venkatesh Saligrama
2022	A*	`conf`	Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. CVPR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2021	—	`conf`	Effectively Leveraging Attributes for Visual Similarity. CVPR Workshops Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	A*	`conf`	Effectively Leveraging Attributes for Visual Similarity. ICCV Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	J	`jnl`	Effectively Leveraging Attributes for Visual Similarity. CoRR Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer
2021	—	`conf`	Self-supervised Visual Attribute Learning for Fashion Compatibility. ICCVW Donghyun Kim, Kuniaki Saito, Samarth Mishra, Stan Sclaroff, Kate Saenko, Bryan A. Plummer
2021	A	`conf`	Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. BMVC Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2021	J	`jnl`	Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency. CoRR Samarth Mishra, Kate Saenko, Venkatesh Saligrama
2021	J	`jnl`	Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data. CoRR Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris
2021	—	`conf`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. CoRR Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Samarth Mishra, Kate Saenko, Kuniaki Saito, Piotr Teterwak, Ben Usman
2021	—	`conf`	VisDA-2021 Competition: Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data. NeurIPS (Competition and Demos) Dina Bashkirova, Dan Hendrycks, Donghyun Kim, Haojin Liao, Samarth Mishra, Chandramouli Rajagopalan, Kate Saenko, Kuniaki Saito, Burhan Ul Tayyab, Piotr Teterwak, Ben Usman
2020	J	`jnl`	A novel hybrid approach for automated detection of retinal detachment using ultrasound images. Comput. Biol. Medicine Joel Koh En Wei, U. Raghavendra, Anjan Gudigar, Ooi Chui Ping, Filippo Molinari, Samarth Mishra, Sinnakaruppan Mathavan, Rajiv Raman, U. Rajendra Acharya
2020	—	`conf`	Low Dimensional Visual Attributes: An Interpretable Image Encoding. ICPR Workshops (3) Pengkai Zhu, Ruizhao Zhu, Samarth Mishra, Venkatesh Saligrama
2019	A*	`conf`	Incremental Object Learning From Contiguous Views. CVPR Stefan Stojanov, Samarth Mishra, Ngoc Anh Thai, Nikhil Dhanda, Ahmad Humayun, Chen Yu, Linda B. Smith, James M. Rehg
2017	A	`conf`	Faster Algorithms for Weighted Recursive State Machines. ESOP Krishnendu Chatterjee, Bernhard Kragl, Samarth Mishra, Andreas Pavlogiannis
2017	J	`jnl`	Faster Algorithms for Weighted Recursive State Machines. CoRR Krishnendu Chatterjee, Bernhard Kragl, Samarth Mishra, Andreas Pavlogiannis