Samarth Mishra

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Venkatesh SaligramaAI Professor and Amazon ScholarVerified email at bu.edu
Kate SaenkoBoston UniversityVerified email at bu.edu
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabVerified email at us.ibm.com
Leonid KarlinskyPrincipal Research Scientist, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Rameswar PandaDistinguished Engineer, IBM ResearchVerified email at ibm.com
Donghyun KimKorea UniversityVerified email at bu.edu
Cheng Perng PhooAI ResearcherVerified email at cornell.edu
Stefan StojanovPostdoc at Stanford Vision Lab and Neuro AI LabVerified email at stanford.edu
James M. RehgFounder Professor of Computer Science, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Anh ThaiGeorgia Institute of TechnologyVerified email at gatech.edu
Chen YuProfessor, The University of Texas at AustinVerified email at austin.utexas.edu
Kuniaki SaitoBoston UniversityVerified email at bu.edu
Chun-Fu (Richard) ChenJPMorgan Chase & Co.Verified email at jpmchase.com
Piotr TeterwakBoston UniversityVerified email at bu.edu
Dina BashkirovaBoston UniversityVerified email at bu.edu
Linda SmithProfessor Psychological and Brain Sciences, Indiana UniversityVerified email at indiana.edu
Ahmad HumayunGoogle DeepMindVerified email at deepmind.com
Zhongping ZhangBoston UniversityVerified email at bu.edu
Yuan ShenComputer Science PhD Candidate, University of Illinois at Urbana ChampaignVerified email at illinois.edu
Ranjitha KumarAssociate Professor of Computer Science @ UIUCVerified email at illinois.edu

Samarth Mishra

Boston University

Verified email at bu.edu - Homepage

Computer Vision Machine Learning


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Incremental object learning from contiguous views S Stojanov, S Mishra, NA Thai, N Dhanda, A Humayun, C Yu, LB Smith, ... Proceedings of the ieee/cvf conference on computer vision and pattern …, 2019	53	2019
Task2sim: Towards effective pre-training and transfer from synthetic data S Mishra, R Panda, CP Phoo, CFR Chen, L Karlinsky, K Saenko, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	40*	2022
Surprisingly simple semi-supervised domain adaptation with pretraining and consistency S Mishra, K Saenko, V Saligrama British Machine Vision Conference (BMVC), 2021	31	2021
How Transferable are Video Representations Based on Synthetic Data? Y Kim, S Mishra, SY Jin, R Panda, H Kuenhe, L Karlinsky, V Saligrama, ... Advances in Neural Information Processing Systems, 2022	28*	2022
Self-supervised visual attribute learning for fashion compatibility D Kim, K Saito, S Mishra, S Sclaroff, K Saenko, BA Plummer Proceedings of the IEEE/CVF international conference on computer vision …, 2021	28	2021
Visda-2021 competition: Universal domain adaptation to improve performance on out-of-distribution data D Bashkirova, D Hendrycks, D Kim, H Liao, S Mishra, C Rajagopalan, ... NeurIPS 2021 Competitions and Demonstrations Track, 66-79, 2022	19	2022
Effectively leveraging attributes for visual similarity S Mishra, Z Zhang, Y Shen, R Kumar, V Saligrama, BA Plummer Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	12	2021
VisDA 2022 challenge: Domain adaptation for industrial waste sorting D Bashkirova, S Mishra, D Lteif, P Teterwak, D Kim, F Alladkani, J Akl, ... NeurIPS 2022 Competition Track, 104-118, 2022	6	2022
Low Dimensional Visual Attributes: An Interpretable Image Encoding P Zhu, R Zhu, S Mishra, V Saligrama Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021	5	2021
Learning human action recognition representations without real humans H Zhong, S Mishra, D Kim, SY Jin, R Panda, H Kuehne, L Karlinsky, ... Advances in Neural Information Processing Systems 36, 2024	3	2024
Interpretable Compositional Representations for Robust Few-Shot Generalization S Mishra, P Zhu, V Saligrama IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1496-1512, 2022	3*	2022
Faster algorithms for weighted recursive state machines K Chatterjee, B Kragl, S Mishra, A Pavlogiannis Programming Languages and Systems: 26th European Symposium on Programming …, 2017	3	2017
Syncdr: Training cross domain retrieval models with synthetic data S Mishra, CD Castillo, H Wang, K Saenko, V Saligrama arXiv preprint arXiv:2401.00420, 2023	1	2023
Fine-grained Few-shot Recognition by Deep Object Parsing R Zhu, P Zhu, S Mishra, V Saligrama arXiv preprint arXiv:2207.07110, 2022	1	2022
Robust Dictionary Learning for Image Processing S Mishra Indian Institute of Technology, Bombay, 0

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