Samarth Mishra
Samarth Mishra
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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
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
Surprisingly simple semi-supervised domain adaptation with pretraining and consistency
S Mishra, K Saenko, V Saligrama
British Machine Vision Conference (BMVC), 2021
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
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
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
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
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
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
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
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
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
SynCDR: training cross domain retrieval models with synthetic data
S Mishra, K Saenko, V Saligrama
arXiv preprint arXiv:2401.00420, 2023
Fine-grained Few-shot Recognition by Deep Object Parsing
R Zhu, P Zhu, S Mishra, V Saligrama
arXiv preprint arXiv:2207.07110, 2022
Robust Dictionary Learning for Image Processing
S Mishra
Indian Institute of Technology, Bombay, 0
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