Karttikeya Mangalam

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 53

Top Topics

Scene Structure

Emotion Recognition

Diffusion Models

Cellular Automaton

Top Venues

Publications

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem
Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. CoRR (2024)
Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam
xT: Nested Tokenization for Larger Context in Large Images. CoRR (2024)
Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipali, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. CoRR (2024)
Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. ACL (Findings) (2024)
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Mohamed El Amine Seddik, Karttikeya Mangalam, Noel E. O'Connor
Do Vision and Language Encoders Represent the World Similarly? CoRR (2024)
Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding. NeurIPS (2023)
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
Reversible Vision Transformers. CoRR (2023)
Yutong Bai, Xinyang Geng, Karttikeya Mangalam, Amir Bar, Alan L. Yuille, Trevor Darrell, Jitendra Malik, Alexei A. Efros
Sequential Modeling Enables Scalable Learning for Large Vision Models. CoRR (2023)
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem
TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization. CVPR (2023)
Tyler Zhu, Karttikeya Mangalam
PaReprop: Fast Parallelized Reversible Backpropagation. CoRR (2023)
Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik
Adaptive Human Trajectory Prediction via Latent Corridors. CoRR (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. CoRR (2023)
Harshayu Girase, Nakul Agarwal, Chiho Choi, Karttikeya Mangalam
Latency Matters: Real-Time Action Forecasting Transformer. CVPR (2023)
Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
Speculative Decoding with Big Little Decoder. NeurIPS (2023)
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
Diffusion Models as Masked Autoencoders. ICCV (2023)
Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer
Big Little Transformer Decoder. CoRR (2023)
Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding. CoRR (2023)
Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. CoRR (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. CoRR (2022)
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
Reversible Vision Transformers. CVPR (2022)
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. CVPR (2022)
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
Object-Region Video Transformers. CVPR (2022)
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR (2022)
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem
Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization. CoRR (2022)
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CoRR (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. NeurIPS (2022)
Elad Ben-Avraham, Roei Herzig, Karttikeya Mangalam, Amir Bar, Anna Rohrbach, Leonid Karlinsky, Trevor Darrell, Amir Globerson
Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. CoRR (2022)
Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein
Does unsupervised grammar induction need pixels? CoRR (2022)
Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition. NeurIPS (2022)
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CVPR (2022)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. CoRR (2021)
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
Object-Region Video Transformers. CoRR (2021)
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
Improved Multiscale Vision Transformers for Classification and Detection. CoRR (2021)
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR (2021)
Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
LOKI: Long Term and Key Intentions for Trajectory Prediction. CoRR (2021)
Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi
LOKI: Long Term and Key Intentions for Trajectory Prediction. ICCV (2021)
Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. ICCV (2021)
Karttikeya Mangalam, Rohin Garg
Overcoming Mode Collapse with Adaptive Multi Adversarial Training. CoRR (2021)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. ICCV (2021)
Karttikeya Mangalam, Rohin Garg
Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting. BMVC (2021)
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon
It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. ECCV (2) (2020)
Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. CoRR (2020)
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik
Long-Term Human Motion Prediction with Scene Context. ECCV (1) (2020)
Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. WACV (2020)
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction. CoRR (2020)
Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik
Long-term Human Motion Prediction with Scene Context. CoRR (2020)
Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. CoRR (2019)
Karttikeya Mangalam, Mathieu Salzamann
On Compressing U-net Using Knowledge Distillation. CoRR (2018)
Karttikeya Mangalam, Tanaya Guha
Learning Spontaneity to Improve Emotion Recognition in Speech. INTERSPEECH (2018)
Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato
Future Person Localization in First-Person Videos. CVPR (2018)
Karttikeya Mangalam, K. S. Venkatesh
Bitwise Operations of Cellular Automaton on Gray-scale Images. CoRR (2017)
Karttikeya Mangalam, Tanaya Guha
Learning Spontaneity to Improve Emotion Recognition In Speech. CoRR (2017)
Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato
Future Person Localization in First-Person Videos. CoRR (2017)