Christoph Feichtenhofer

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 89

Top Topics

Motion Features

Supervised Training

Top Venues

Publications

Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
Window Attention is Bugged: How not to Interpolate Position Embeddings. ICLR (2024)
Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
Demystifying CLIP Data. ICLR (2024)
Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
Demystifying CLIP Data. CoRR (2023)
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
Scaling Language-Image Pre-Training via Masking. CVPR (2023)
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
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR (2023)
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
Reversible Vision Transformers. CoRR (2023)
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
Multiview Compressive Coding for 3D Reconstruction. CoRR (2023)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
Token Merging: Your ViT But Faster. ICLR (2023)
Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra
The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR (2023)
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
Multiview Compressive Coding for 3D Reconstruction. CVPR (2023)
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
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML (2023)
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
CiT: Curation in Training for Effective Vision-Language Data. ICCV (2023)
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
MAViL: Masked Audio-Video Learners. NeurIPS (2023)
Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra
The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV (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)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CoRR (2023)
Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
Window Attention is Bugged: How not to Interpolate Position Embeddings. 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. ICCV (2023)
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CVPR (2023)
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
CiT: Curation in Training for Effective Vision-Language Data. CoRR (2023)
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
Scaling Language-Image Pre-training via Masking. CoRR (2022)
Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer
Masked Autoencoders that Listen. CoRR (2022)
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
A ConvNet for the 2020s. CVPR (2022)
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
Reversible Vision Transformers. CVPR (2022)
Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman
Token Merging: Your ViT But Faster. CoRR (2022)
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
Masked Autoencoders As Spatiotemporal Learners. CoRR (2022)
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
MAViL: Masked Audio-Video Learners. CoRR (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)
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
Masked Autoencoders As Spatiotemporal Learners. NeurIPS (2022)
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
A ConvNet for the 2020s. CoRR (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 Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CVPR (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)
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)
Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer
Masked Autoencoders that Listen. NeurIPS (2022)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CVPR (2022)
Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. NeurIPS (2021)
Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. CoRR (2021)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. CoRR (2021)
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia (2021)
Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. CoRR (2021)
Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. EMNLP (1) (2021)
Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. 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)
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CoRR (2021)
Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer
PyTorchVideo: A Deep Learning Library for Video Understanding. 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)
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CoRR (2021)
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer
TrackFormer: Multi-Object Tracking with Transformers. CoRR (2021)
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CVPR (2021)
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
Multiscale Vision Transformers. ICCV (2021)
Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. ICCV (2021)
Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. ACL/IJCNLP (Findings) (2021)
Mandela Patrick, Dylan Campbell, Yuki Markus Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. CoRR (2021)
Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer
Audiovisual SlowFast Networks for Video Recognition. CoRR (2020)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman
Deep Insights into Convolutional Networks for Video Recognition. Int. J. Comput. Vis. 128 (2) (2020)
Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer
Feature Pyramid Grids. CoRR (2020)
Christoph Feichtenhofer
X3D: Expanding Architectures for Efficient Video Recognition. CVPR (2020)
Christoph Feichtenhofer
X3D: Expanding Architectures for Efficient Video Recognition. CoRR (2020)
Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier
Modeling Human Motion with Quaternion-Based Neural Networks. Int. J. Comput. Vis. 128 (4) (2020)
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
A Multigrid Method for Efficiently Training Video Models. CVPR (2020)
Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman
EGO-TOPO: Environment Affordances from Egocentric Video. CoRR (2020)
Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman
Ego-Topo: Environment Affordances From Egocentric Video. CVPR (2020)
Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman
Grounded Human-Object Interaction Hotspots From Video. ICCV (2019)
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
SlowFast Networks for Video Recognition. ICCV (2019)
Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman
Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). CoRR (2019)
Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. CVPR (2019)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. CoRR (2019)
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
Long-Term Feature Banks for Detailed Video Understanding. CVPR (2019)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. NeurIPS (2019)
Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl
A Multigrid Method for Efficiently Training Video Models. CoRR (2019)
Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier
Modeling Human Motion with Quaternion-based Neural Networks. CoRR (2019)
Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli
3D human pose estimation in video with temporal convolutions and semi-supervised training. CoRR (2018)
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
SlowFast Networks for Video Recognition. CoRR (2018)
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani
Learning Discriminative Motion Features Through Detection. CoRR (2018)
Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman
Grounded Human-Object Interaction Hotspots from Video. CoRR (2018)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman
What Have We Learned From Deep Representations for Action Recognition? CVPR (2018)
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
Long-Term Feature Banks for Detailed Video Understanding. CoRR (2018)
Moritz Kampelmühler, Michael G. Müller, Christoph Feichtenhofer
Camera-based vehicle velocity estimation from monocular video. CoRR (2018)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman
What have we learned from deep representations for action recognition? CoRR (2018)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Spatiotemporal Multiplier Networks for Video Action Recognition. CVPR (2017)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Temporal Residual Networks for Dynamic Scene Recognition. CVPR (2017)
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
Detect to Track and Track to Detect. ICCV (2017)
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
Detect to Track and Track to Detect. CoRR (2017)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Spatiotemporal Residual Networks for Video Action Recognition. CoRR (2016)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Dynamic Scene Recognition with Complementary Spatiotemporal Features. IEEE Trans. Pattern Anal. Mach. Intell. 38 (12) (2016)
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
Convolutional Two-Stream Network Fusion for Video Action Recognition. CoRR (2016)
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman
Convolutional Two-Stream Network Fusion for Video Action Recognition. CVPR (2016)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Spatiotemporal Residual Networks for Video Action Recognition. NIPS (2016)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Dynamically encoded actions based on spacetime saliency. CVPR (2015)
Michael Goller, Christoph Feichtenhofer, Axel Pinz
Fusing RFID and computer vision for probabilistic tag localization. IEEE RFID (2014)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Bags of Spacetime Energies for Dynamic Scene Recognition. CVPR (2014)
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes
Spacetime Forests with Complementary Features for Dynamic Scene Recognition. BMVC (2013)
Christoph Feichtenhofer, Axel Pinz
Spatio-temporal Good Features to Track. ICCV Workshops (2013)
Christoph Feichtenhofer, Hannes Fassold, Peter Schallauer
A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis. IEEE Signal Process. Lett. 20 (4) (2013)