Computer Vision, Machine Learning, Large Multimodal Models, Synthetic Data
Publications
Conferences
H. Zhong, Samarth Mishra, D. Kim, S. Jin, R. Panda, H. Kuehne, L. Karlinsky, V. Saligrama, A. Oliva and R. Feris.
Learning Human Action Recognition Representations Without Real Humans.
NeurIPS 2023 D&B [openreview][arxiv][github]
Y. Kim, Samarth Mishra, S. Jin, R. Panda, H. Kuehne, L. Karlinsky, V. Saligrama, K.Saenko, A. Oliva, R.S. Feris.
How Transferable are Video Representations Based on Synthetic Data?
NeurIPS 2022 D&B [openreview][github]
Samarth Mishra, R. Panda, C.P. Phoo, C.F. Chen, L. Karlinsky, K. Saenko, V. Saligrama, and R.S. Feris.
Task2Sim: Towards effective pre-training and transfer from synthetic data.
CVPR 2022 [arxiv][project page]
D. Bashkirova, D. Hendrycks, D. Kim, Samarth Mishra, K. Saenko, K. Saito, P. Teterwak, and B. Usman.
Visda-2021 competition : Universal domain adaptation to improve performance on out-of-distribution data. NeurIPS 2021 Competitions Track. [arxiv][competition page]
Samarth Mishra, K. Saenko, and V. Saligrama.
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and Consistency.
BMVC 2021 [arxiv][github]
Samarth Mishra, Z. Zhang, Y. Shen, R. Kumar, V. Saligrama, and B. Plummer.
Effectively leveraging attributes for visual similarity.
ICCV 2021 [arxiv][github]
S. Stojanov, Samarth Mishra, N.A. Thai, N. Dhanda,
A. Humayun, L.B. Smith, C. Yu, and J. M. Rehg.
Incremental Object Learning from Contiguous Views.
Oral, Best paper finalist CVPR 2019 [cvf][project page]
K. Chatterjee, B. Kragl, Samarth Mishra, A. Pavlogiannis.
Faster Algorithms for Weighted Recursive State Machines.
ESOP 2017 [arxiv]
Journals
Samarth Mishra, P. Zhu, V. Saligrama.
Learning Compositional Representations for Effective Low-Shot Generalization.
IEEE Transactions on Pattern Analysis and Machine Intelligence.
[arxiv]
Workshops
D. Kim, K. Saito, Samarth Mishra, S. Sclaroff, K. Saenko, and B.Plummer.
Self-supervised visual attribute learning for fashion compatibility.
ICCV 2021 VIPriors Workshop [arxiv]
P. Zhu, R. Zhu, Samarth Mishra, and V. Saligrama.
Low dimensional visual attributes: An interpretable image encoding.
ICPR 2020 EDL/AI Workshop [springer]
Preprints
Samarth Mishra, C. Castillo, H. Wang, K. Saenko, V. Saligrama.
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data. [arxiv][github]
Relevant Coursework
Boston University
Towards Universal Natural Language Understanding
Reinforcement Learning
Statistical Learning Theory
Georgia Tech
Machine Learning
Numerical Linear Algebra
Machine Learning Theory
IIT Bombay
Advanced Machine Learning (Probabilistic Graphical Models and Deep Learning)