A Support Vector Machine Based System for Technical Question Classification. - Shlok Kumar Mishra; Pranav Kumar; Sujan Kumar Saha (MIKE, 2015)

Towards Automatic Generation of Questions from Long Answers. - Shlok Kumar Mishra; Pranav Goel 001; Abhishek Sharma 001; Abhyuday Jagannatha; David W. Jacobs; Hal Daumé III (CoRR, 2020)

Learning Visual Representations for Transfer Learning by Suppressing Texture. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Jonghyun Choi; Abhinav Shrivastava; Abhishek Sharma 001; David W. Jacobs (CoRR, 2020)

TrajDistLearn: learning to compute distance between trajectories. - Janit Anjaria; Hong Wei 001; Hao Li 022; Shlok Mishra; Hanan Samet (IWCTS@SIGSPATIAL, 2021)

Robust Contrastive Learning Using Negative Samples with Diminished Semantics. - Songwei Ge; Shlok Mishra; Chun-Liang Li; Haohan Wang; David Jacobs 001 (NeurIPS, 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 001 (CoRR, 2021)

Object-Aware Cropping for Self-Supervised Learning. - Shlok Mishra; Anshul Shah; Ankan Bansal; Abhyuday Jagannatha; Abhishek Sharma 001; David Jacobs 001; Dilip Krishnan (CoRR, 2021)

Learning visual representations for transfer learning by suppressing texture. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Janit Anjaria; Jonghyun Choi; Abhinav Shrivastava; Abhishek Sharma 001; David Jacobs 001 (BMVC, 2022)

Improved Presentation Attack Detection Using Image Decomposition. - Shlok Kumar Mishra; Kuntal Sengupta; Wen-Sheng Chu; Max Horowitz-Gelb; Sofien Bouaziz; David Jacobs 001 (IJCB, 2022)

Pose and Joint-Aware Action Recognition. - Anshul Shah; Shlok Mishra; Ankan Bansal; Jun-Cheng Chen; Rama Chellappa; Abhinav Shrivastava (WACV, 2022)

A simple, efficient and scalable contrastive masked autoencoder for learning visual representations. - Shlok Mishra; Joshua Robinson 001; Huiwen Chang; David Jacobs 001; Aaron Sarna; Aaron Maschinot; Dilip Krishnan (CoRR, 2022)

Object-aware Cropping for Self-Supervised Learning. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Janit Anjaria; Abhyuday N. Jagannatha; Abhishek Sharma 001; David Jacobs 001; Dilip Krishnan (Trans. Mach. Learn. Res., 2022)

Hyperbolic Contrastive Learning for Visual Representations beyond Objects. - Songwei Ge; Shlok Mishra; Simon Kornblith; Chun-Liang Li; David Jacobs 001 (CVPR, 2023)

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis. - Tianhong Li; Huiwen Chang; Shlok Kumar Mishra; Han Zhang 010; Dina Katabi; Dilip Krishnan (CVPR, 2023)

HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions. - Anshul Shah; Aniket Roy; Ketul Shah; Shlok Mishra; David Jacobs 001; Anoop Cherian; Rama Chellappa (CVPR, 2023)

Self Supervised Learning on Large Scale Datasets. - Shlok Kumar Mishra (2023)

Transfer between Modalities with MetaQueries. - Xichen Pan; Satya Narayan Shukla; Aashu Singh; Zhuokai Zhao; Shlok Kumar Mishra; Jialiang Wang; Zhiyang Xu; Jiuhai Chen; Kunpeng Li; Felix Juefei-Xu; Ji Hou; Saining Xie (CoRR, 2025)