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Samarth Mishra
Samarth Mishra
Boston University
Verified email at bu.edu - Homepage
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Year
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
282019
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
112021
Surprisingly simple semi-supervised domain adaptation with pretraining and consistency
S Mishra, K Saenko, V Saligrama
arXiv preprint arXiv:2101.12727, 2021
82021
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
32022
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
32021
Faster algorithms for weighted recursive state machines
K Chatterjee, B Kragl, S Mishra, A Pavlogiannis
European Symposium on Programming, 287-313, 2017
32017
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
22022
Low Dimensional Visual Attributes: An Interpretable Image Encoding
P Zhu, R Zhu, S Mishra, V Saligrama
International Conference on Pattern Recognition, 90-102, 2021
12021
Surprisingly simple semi-supervised domain adaptation with pretraining and consistency
V Saligrama, K Saenko, S Mishra
2022
Fine-grained Few-shot Recognition by Deep Object Parsing
P Zhu, R Zhu, S Mishra, V Saligrama
arXiv preprint arXiv:2207.07110, 2022
2022
Learning Compositional Representations for Effective Low-Shot Generalization
S Mishra, P Zhu, V Saligrama
arXiv preprint arXiv:2204.08090, 2022
2022
How Transferable are Video Representations Based on Synthetic Data?
Y Kim, SY Jin, R Panda, H Kuehne, L Karlinsky, S Mishra, V Saligrama, ...
Supplementary for Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
S Mishra, R Panda, CP Phoo, CFR Chen, L Karlinsky, K Saenko, ...
Effectively Leveraging Attributes for Visual Similarity Supplementary
S Mishra, Z Zhang, Y Shen, R Kumar, V Saligrama, BA Plummer
Robust Dictionary Learning for Image Processing
S Mishra
Indian Institute of Technology, Bombay, 0
Supplementary Materials for Incremental Object Learning from Contiguous Views
S Stojanov, S Mishra, NA Thai, N Dhanda, A Humayun, C Yu, LB Smith, ...
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