Feichtenhofer, Christoph

37 publications

ICCV 2025 An Empirical Study of Autoregressive Pre-Training from Videos Jathushan Rajasegaran, Ilija Radosavovic, Rahul Ravishankar, Yossi Gandelsman, Christoph Feichtenhofer, Jitendra Malik

NeurIPS 2025 Perception Encoder: The Best Visual Embeddings Are Not at the Output of the Network Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Abdul Rasheed, Junke Wang, Marco Monteiro, Hu Xu, Shiyu Dong, Nikhila Ravi, Shang-Wen Li, Piotr Dollar, Christoph Feichtenhofer

NeurIPS 2025 PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Jang Hyun Cho, Andrea Madotto, Effrosyni Mavroudi, Triantafyllos Afouras, Tushar Nagarajan, Muhammad Maaz, Yale Song, Tengyu Ma, Shuming Hu, Suyog Jain, Miguel Martin, Huiyu Wang, Hanoona Abdul Rasheed, Peize Sun, Po-Yao Huang, Daniel Bolya, Nikhila Ravi, Shashank Jain, Tammy Stark, Seungwhan Moon, Babak Damavandi, Vivian Lee, Andrew Westbury, Salman Khan, Philipp Kraehenbuehl, Piotr Dollar, Lorenzo Torresani, Kristen Grauman, Christoph Feichtenhofer

ICLR 2025 SAM 2: Segment Anything in Images and Videos Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollar, Christoph Feichtenhofer

ICLR 2024 Demystifying CLIP Data Hu Xu, Saining Xie, Xiaoqing Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

ICLR 2024 Window Attention Is Bugged: How Not to Interpolate Position Embeddings Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer

ICCV 2023 CiT: Curation in Training for Effective Vision-Language Data Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

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

ICML 2023 Hiera: A Hierarchical Vision Transformer Without the Bells-and-Whistles Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer

NeurIPS 2023 MAViL: Masked Audio-Video Learners Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer

CVPR 2023 Multiview Compressive Coding for 3D Reconstruction Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari

CVPR 2023 On the Benefits of 3D Pose and Tracking for Human Action Recognition Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik

CVPR 2023 Scaling Language-Image Pre-Training via Masking Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He

ICCV 2023 The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollar, Christoph Feichtenhofer, Ross Girshick, Rohit Girdhar, Ishan Misra

ICLR 2023 Token Merging: Your ViT but Faster Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman

CVPR 2022 A ConvNet for the 2020s Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie

CVPR 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 Kolář, 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, 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 Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

CVPR 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

NeurIPS 2022 Masked Autoencoders That Listen Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer

NeurIPS 2022 Masked Autoencoders as Spatiotemporal Learners Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He

CVPR 2022 Masked Feature Prediction for Self-Supervised Visual Pre-Training Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan Yuille, Christoph Feichtenhofer

CVPR 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

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

CVPR 2022 TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer

CVPR 2021 A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross Girshick, Kaiming He

NeurIPS 2021 Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers Mandela Patrick, Dylan Campbell, Yuki Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques

ICCV 2021 Multiscale Vision Transformers Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer

ICCV 2021 Multiview Pseudo-Labeling for Semi-Supervised Learning from Video Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer

NeurIPS 2019 Learning Temporal Pose Estimation from Sparsely-Labeled Videos Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani

ICCV 2017 Detect to Track and Track to Detect Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman

CVPR 2017 Spatiotemporal Multiplier Networks for Video Action Recognition Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes

CVPR 2017 Temporal Residual Networks for Dynamic Scene Recognition Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes

CVPR 2016 Convolutional Two-Stream Network Fusion for Video Action Recognition Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman

NeurIPS 2016 Spatiotemporal Residual Networks for Video Action Recognition Christoph Feichtenhofer, Axel Pinz, Richard Wildes

CVPR 2015 Dynamically Encoded Actions Based on Spacetime Saliency Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes

CVPR 2014 Bags of Spacetime Energies for Dynamic Scene Recognition Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes

ICCVW 2013 Spatio-Temporal Good Features to Track Christoph Feichtenhofer, Axel Pinz