Karttikeya Mangalam

According to our database, Karttikeya Mangalam authored at least 38 papers between 2017 and 2024.

Collaborative distances:

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

2024

Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction.

Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

xT: Nested Tokenization for Larger Context in Large Images.

Ritwik Gupta, Shufan Li, Tyler Zhu, Jitendra Malik, Trevor Darrell, Karttikeya Mangalam

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Human Trajectory Prediction via Latent Corridors.

Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2024, 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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Dr²Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning.

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.

Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

PaReprop: Fast Parallelized Reversible Backpropagation.

Tyler Zhu, Karttikeya Mangalam

CoRR, 2023

Big Little Transformer Decoder.

Sehoon Kim, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer

CoRR, 2023

EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding.

Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Speculative Decoding with Big Little Decoder.

Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael W. Mahoney, Amir Gholami, Kurt Keutzer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diffusion Models as Masked Autoencoders.

Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Latency Matters: Real-Time Action Forecasting Transformer.

Harshayu Girase, Nakul Agarwal, Chiho Choi, Karttikeya Mangalam

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

Re²TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization.

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem

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

2022

Does unsupervised grammar induction need pixels?

Boyi Li, Rodolfo Corona, Karttikeya Mangalam, Catherine Chen, Daniel Flaherty, Serge J. Belongie, Kilian Q. Weinberger, Jitendra Malik, Trevor Darrell, Dan Klein

CoRR, 2022

Re^2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization.

Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem

CoRR, 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

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition.

Sehoon Kim, Amir Gholami, Albert E. Shaw, Nicholas Lee, Karttikeya Mangalam, Jitendra Malik, Michael W. Mahoney, Kurt Keutzer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.

Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reversible Vision Transformers.

Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection.

Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Object-Region Video Transformers.

Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Overcoming Mode Collapse with Adaptive Multi Adversarial Training.

Karttikeya Mangalam, Rohin Garg

CoRR, 2021

Improved Multiscale Vision Transformers for Classification and Detection.

Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer

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, 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 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, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, 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

CoRR, 2021

From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting.

Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LOKI: Long Term and Key Intentions for Trajectory Prediction.

Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multiscale Vision Transformers.

Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mitigating Mode Collapse by Sidestepping Catastrophic Forgetting.

Karttikeya Mangalam, Rohin Garg

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision.

Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction.

Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon

Proceedings of the Computer Vision - ECCV 2020, 2020

Long-Term Human Motion Prediction with Scene Context.

Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik

Proceedings of the Computer Vision - ECCV 2020, 2020

2018

On Compressing U-net Using Knowledge Distillation.

Karttikeya Mangalam, Mathieu Salzamann

CoRR, 2018

Learning Spontaneity to Improve Emotion Recognition in Speech.

Karttikeya Mangalam, Tanaya Guha

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Future Person Localization in First-Person Videos.

Takuma Yagi, Karttikeya Mangalam, Ryo Yonetani, Yoichi Sato

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Bitwise Operations of Cellular Automaton on Gray-scale Images.

Karttikeya Mangalam, K. S. Venkatesh

CoRR, 2017