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Shlok Kumar Mishra
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Journal Articles
- 2022
- [j1]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-aware Cropping for Self-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2023
- [c9]Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan:
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CVPR 2023: 2142-2152 - [c8]Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs:
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CVPR 2023: 6840-6849 - [c7]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CVPR 2023: 18846-18856 - 2022
- [c6]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs:
Learning visual representations for transfer learning by suppressing texture. BMVC 2022: 300 - [c5]Shlok Kumar Mishra, Kuntal Sengupta, Wen-Sheng Chu, Max Horowitz-Gelb, Sofien Bouaziz, David Jacobs:
Improved Presentation Attack Detection Using Image Decomposition. IJCB 2022: 1-10 - [c4]Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose and Joint-Aware Action Recognition. WACV 2022: 141-151 - 2021
- [c3]Janit Anjaria, Hong Wei, Hao Li, Shlok Mishra, Hanan Samet:
TrajDistLearn: learning to compute distance between trajectories. IWCTS@SIGSPATIAL 2021: 4:1-4:9 - [c2]Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs:
Robust Contrastive Learning Using Negative Samples with Diminished Semantics. NeurIPS 2021: 27356-27368 - 2015
- [c1]Shlok Kumar Mishra, Pranav Kumar, Sujan Kumar Saha:
A Support Vector Machine Based System for Technical Question Classification. MIKE 2015: 640-649
Informal and Other Publications
- 2023
- [i10]Anshul Shah, Aniket Roy, Ketul Shah, Shlok Kumar Mishra, David Jacobs, Anoop Cherian, Rama Chellappa:
HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. CoRR abs/2304.00387 (2023) - 2022
- [i9]Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan:
A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. CoRR abs/2210.16870 (2022) - [i8]Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan:
MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. CoRR abs/2211.09117 (2022) - [i7]Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs:
Hyperbolic Contrastive Learning for Visual Representations beyond Objects. CoRR abs/2212.00653 (2022) - 2021
- [i6]Shlok Kumar Mishra, Kuntal Sengupta, Max Horowitz-Gelb, Wen-Sheng Chu, Sofien Bouaziz, David Jacobs:
Improved Detection of Face Presentation Attacks Using Image Decomposition. CoRR abs/2103.12201 (2021) - [i5]Songwei Ge, Shlok Mishra, Haohan Wang, Chun-Liang Li, David Jacobs:
Robust Contrastive Learning Using Negative Samples with Diminished Semantics. CoRR abs/2110.14189 (2021) - [i4]Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan:
Object-Aware Cropping for Self-Supervised Learning. CoRR abs/2112.00319 (2021) - 2020
- [i3]Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III:
Towards Automatic Generation of Questions from Long Answers. CoRR abs/2004.05109 (2020) - [i2]Anshul Shah, Shlok Kumar Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava:
Pose And Joint-Aware Action Recognition. CoRR abs/2010.08164 (2020) - [i1]Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs:
Learning Visual Representations for Transfer Learning by Suppressing Texture. CoRR abs/2011.01901 (2020)
Coauthor Index
aka: David W. Jacobs
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