Shlok Kumar Mishra

According to our database, Shlok Kumar Mishra authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self Supervised Learning on Large Scale Datasets.

Shlok Kumar Mishra

PhD thesis, 2023

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions.

Anshul Shah, Aniket Roy, Ketul Shah, Shlok Mishra, David Jacobs, Anoop Cherian, Rama Chellappa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis.

Tianhong Li, Huiwen Chang, Shlok Kumar Mishra, Han Zhang, Dina Katabi, Dilip Krishnan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Hyperbolic Contrastive Learning for Visual Representations beyond Objects.

Songwei Ge, Shlok Mishra, Simon Kornblith, Chun-Liang Li, David Jacobs

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Object-aware Cropping for Self-Supervised Learning.

Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Abhyuday N. Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan

Trans. Mach. Learn. Res., 2022

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations.

Shlok Mishra, Joshua Robinson, Huiwen Chang, David Jacobs, Aaron Sarna, Aaron Maschinot, Dilip Krishnan

CoRR, 2022

Pose and Joint-Aware Action Recognition.

Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Improved Presentation Attack Detection Using Image Decomposition.

Shlok Kumar Mishra, Kuntal Sengupta, Wen-Sheng Chu, Max Horowitz-Gelb, Sofien Bouaziz, David Jacobs

Proceedings of the IEEE International Joint Conference on Biometrics, 2022

Learning visual representations for transfer learning by suppressing texture.

Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Object-Aware Cropping for Self-Supervised Learning.

Shlok Mishra, Anshul Shah, Ankan Bansal, Abhyuday Jagannatha, Abhishek Sharma, David Jacobs, Dilip Krishnan

CoRR, 2021

Improved Detection of Face Presentation Attacks Using Image Decomposition.

Shlok Kumar Mishra, Kuntal Sengupta, Max Horowitz-Gelb, Wen-Sheng Chu, Sofien Bouaziz, David Jacobs

CoRR, 2021

Robust Contrastive Learning Using Negative Samples with Diminished Semantics.

Songwei Ge, Shlok Mishra, Chun-Liang Li, Haohan Wang, David Jacobs

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TrajDistLearn: learning to compute distance between trajectories.

Janit Anjaria, Hong Wei, Hao Li, Shlok Mishra, Hanan Samet

Proceedings of the IWCTS@SIGSPATIAL 2021: Proceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2021

2020

Learning Visual Representations for Transfer Learning by Suppressing Texture.

Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David W. Jacobs

CoRR, 2020

Towards Automatic Generation of Questions from Long Answers.

Shlok Kumar Mishra, Pranav Goel, Abhishek Sharma, Abhyuday Jagannatha, David W. Jacobs, Hal Daumé III

CoRR, 2020

2015

A Support Vector Machine Based System for Technical Question Classification.

Shlok Kumar Mishra, Pranav Kumar, Sujan Kumar Saha

Proceedings of the Mining Intelligence and Knowledge Exploration, 2015