Bitwise Operations of Cellular Automaton on Gray-scale Images. - Karttikeya Mangalam; K. S. Venkatesh (CoRR, 2017)

Future Person Localization in First-Person Videos. - Takuma Yagi; Karttikeya Mangalam; Ryo Yonetani; Yoichi Sato 001 (CVPR, 2018)

Learning Spontaneity to Improve Emotion Recognition in Speech. - Karttikeya Mangalam; Tanaya Guha (INTERSPEECH, 2018)

On Compressing U-net Using Knowledge Distillation. - Karttikeya Mangalam; Mathieu Salzamann (CoRR, 2018)

Long-Term Human Motion Prediction with Scene Context. - Zhe Cao; Hang Gao; Karttikeya Mangalam; Qi-Zhi Cai; Minh Vo; Jitendra Malik (ECCV (1), 2020)

It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. - Karttikeya Mangalam; Harshayu Girase; Shreyas Agarwal; Kuan-Hui Lee; Ehsan Adeli 001; Jitendra Malik; Adrien Gaidon (ECCV (2), 2020)

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. - Karttikeya Mangalam; Ehsan Adeli 001; Kuan-Hui Lee; Adrien Gaidon; Juan Carlos Niebles (WACV, 2020)

Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting. - Karttikeya Mangalam; Rohin Garg (BMVC, 2021)

Multiscale Vision Transformers. - Haoqi Fan 001; Bo Xiong; Karttikeya Mangalam; Yanghao Li; Zhicheng Yan 001; Jitendra Malik; Christoph Feichtenhofer (ICCV, 2021)

LOKI: Long Term and Key Intentions for Trajectory Prediction. - Harshayu Girase; Haiming Gang; Srikanth Malla; Jiachen Li 001; Akira Kanehara; Karttikeya Mangalam; Chiho Choi (ICCV, 2021)

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. - Karttikeya Mangalam; Yang An; Harshayu Girase; Jitendra Malik (ICCV, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Improved Multiscale Vision Transformers for Classification and Detection. - Yanghao Li; Chao-Yuan Wu; Haoqi Fan 001; Karttikeya Mangalam; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer (CoRR, 2021)

Overcoming Mode Collapse with Adaptive Multi Adversarial Training. - Karttikeya Mangalam; Rohin Garg (CoRR, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)

Object-Region Video Transformers. - Roei Herzig; Elad Ben-Avraham; Karttikeya Mangalam; Amir Bar; Gal Chechik; Anna Rohrbach; Trevor Darrell; Amir Globerson (CVPR, 2022)

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. - Yanghao Li; Chao-Yuan Wu; Haoqi Fan 001; Karttikeya Mangalam; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer (CVPR, 2022)

Reversible Vision Transformers. - Karttikeya Mangalam; Haoqi Fan 001; Yanghao Li; Chao-Yuan Wu; Bo Xiong; Christoph Feichtenhofer; Jitendra Malik (CVPR, 2022)

MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. - Chao-Yuan Wu; Yanghao Li; Karttikeya Mangalam; Haoqi Fan 001; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer (CVPR, 2022)

Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. - Elad Ben-Avraham; Roei Herzig; Karttikeya Mangalam; Amir Bar; Anna Rohrbach; Leonid Karlinsky; Trevor Darrell; Amir Globerson (NeurIPS, 2022)

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. - Sehoon Kim 001; Amir Gholami; Albert E. Shaw; Nicholas Lee; Karttikeya Mangalam; Jitendra Malik; Michael W. Mahoney; Kurt Keutzer (NeurIPS, 2022)

Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. - Elad Ben-Avraham; Roei Herzig; Karttikeya Mangalam; Amir Bar; Anna Rohrbach; Leonid Karlinsky; Trevor Darrell; Amir Globerson (CoRR, 2022)

Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization. - Chen Zhao 002; Shuming Liu 001; Karttikeya Mangalam; Bernard Ghanem (CoRR, 2022)

Does unsupervised grammar induction need pixels? - Boyi Li; Rodolfo Corona; Karttikeya Mangalam; Catherine Chen 002; Daniel Flaherty; Serge J. Belongie; Kilian Q. Weinberger; Jitendra Malik; Trevor Darrell; Dan Klein 001 (CoRR, 2022)

Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization. - Chen Zhao 002; Shuming Liu 001; Karttikeya Mangalam; Bernard Ghanem (CVPR, 2023)

Latency Matters: Real-Time Action Forecasting Transformer. - Harshayu Girase; Nakul Agarwal; Chiho Choi; Karttikeya Mangalam (CVPR, 2023)

Diffusion Models as Masked Autoencoders. - Chen Wei 005; Karttikeya Mangalam; Po-Yao Huang 001; Yanghao Li; Haoqi Fan 001; Hu Xu 001; Huiyu Wang; Cihang Xie; Alan L. Yuille; Christoph Feichtenhofer (ICCV, 2023)

Speculative Decoding with Big Little Decoder. - Sehoon Kim 001; Karttikeya Mangalam; Suhong Moon; Jitendra Malik; Michael W. Mahoney; Amir Gholami; Kurt Keutzer (NeurIPS, 2023)

EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding. - Karttikeya Mangalam; Raiymbek Akshulakov; Jitendra Malik (NeurIPS, 2023)

Big Little Transformer Decoder. - Sehoon Kim 001; Karttikeya Mangalam; Jitendra Malik; Michael W. Mahoney; Amir Gholami; Kurt Keutzer (CoRR, 2023)

PaReprop: Fast Parallelized Reversible Backpropagation. - Tyler Zhu; Karttikeya Mangalam (CoRR, 2023)

Perceiving People over Long Periods: Algorithms, Architectures & Datasets - Karttikeya Mangalam (2023)

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. - Nicholas Lee; Thanakul Wattanawong; Sehoon Kim 001; Karttikeya Mangalam; Sheng Shen 001; Gopala Anumanchipalli; Michael W. Mahoney; Kurt Keutzer; Amir Gholami (ACL (Findings), 2024)

Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. - Chen Zhao 002; Shuming Liu 001; Karttikeya Mangalam; Guocheng Qian; Fatimah Zohra; Abdulmohsen Alghannam; Jitendra Malik; Bernard Ghanem (CVPR, 2024)

Sequential Modeling Enables Scalable Learning for Large Vision Models. - Yutong Bai; Xinyang Geng; Karttikeya Mangalam; Amir Bar; Alan L. Yuille; Trevor Darrell; Jitendra Malik; Alexei A. Efros (CVPR, 2024)

Do Vision and Language Encoders Represent the World Similarly? - Mayug Maniparambil; Raiymbek Akshulakov; Yasser Abdelaziz Dahou Djilali; Mohamed El Amine Seddik; Sanath Narayan; Karttikeya Mangalam; Noel E. O'Connor (CVPR, 2024)

Adaptive Human Trajectory Prediction via Latent Corridors. - Neerja Thakkar; Karttikeya Mangalam; Andrea Bajcsy; Jitendra Malik (ECCV (38), 2024)

xT: Nested Tokenization for Larger Context in Large Images. - Ritwik Gupta; Shufan Li; Tyler Zhu; Jitendra Malik; Trevor Darrell; Karttikeya Mangalam (ICML, 2024)

Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction. - Boyi Li; Rodolfo Corona; Karttikeya Mangalam; Catherine Chen 002; Daniel Flaherty; Serge J. Belongie; Kilian Q. Weinberger; Jitendra Malik; Trevor Darrell; Dan Klein 001 (NAACL-HLT (Findings), 2024)

Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. - Zhanda Zhu; Christina Giannoula; Muralidhar Andoorveedu; Qidong Su; Karttikeya Mangalam; Bojian Zheng; Gennady Pekhimenko (EuroSys, 2025)