Spacetime Forests with Complementary Features for Dynamic Scene Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (BMVC, 2013)

Spatio-temporal Good Features to Track. - Christoph Feichtenhofer; Axel Pinz (ICCV Workshops, 2013)

A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis. - Christoph Feichtenhofer; Hannes Fassold; Peter Schallauer (IEEE Signal Process. Lett., 2013)

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

Fusing RFID and computer vision for probabilistic tag localization. - Michael Goller; Christoph Feichtenhofer; Axel Pinz (IEEE RFID, 2014)

Dynamically encoded actions based on spacetime saliency. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (CVPR, 2015)

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

Spatiotemporal Residual Networks for Video Action Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (NIPS, 2016)

Dynamic Scene Recognition with Complementary Spatiotemporal Features. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

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

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

Detect to Track and Track to Detect. - Christoph Feichtenhofer; Axel Pinz; Andrew Zisserman (ICCV, 2017)

What Have We Learned From Deep Representations for Action Recognition? - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes; Andrew Zisserman (CVPR, 2018)

Camera-based vehicle velocity estimation from monocular video. - Moritz Kampelmühler; Michael G. Müller; Christoph Feichtenhofer (CoRR, 2018)

Learning Discriminative Motion Features Through Detection. - Gedas Bertasius; Christoph Feichtenhofer; Du Tran; Jianbo Shi; Lorenzo Torresani (CoRR, 2018)

3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. - Dario Pavllo; Christoph Feichtenhofer; David Grangier; Michael Auli (CVPR, 2019)

Long-Term Feature Banks for Detailed Video Understanding. - Chao-Yuan Wu; Christoph Feichtenhofer; Haoqi Fan 001; Kaiming He; Philipp Krähenbühl; Ross B. Girshick (CVPR, 2019)

SlowFast Networks for Video Recognition. - Christoph Feichtenhofer; Haoqi Fan 001; Jitendra Malik; Kaiming He (ICCV, 2019)

Grounded Human-Object Interaction Hotspots From Video. - Tushar Nagarajan; Christoph Feichtenhofer; Kristen Grauman (ICCV, 2019)

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

Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). - Tushar Nagarajan; Christoph Feichtenhofer; Kristen Grauman (CoRR, 2019)

X3D: Expanding Architectures for Efficient Video Recognition. - Christoph Feichtenhofer (CVPR, 2020)

Ego-Topo: Environment Affordances From Egocentric Video. - Tushar Nagarajan; Yanghao Li; Christoph Feichtenhofer; Kristen Grauman (CVPR, 2020)

A Multigrid Method for Efficiently Training Video Models. - Chao-Yuan Wu; Ross B. Girshick; Kaiming He; Christoph Feichtenhofer; Philipp Krähenbühl (CVPR, 2020)

Audiovisual SlowFast Networks for Video Recognition. - Fanyi Xiao; Yong Jae Lee; Kristen Grauman; Jitendra Malik; Christoph Feichtenhofer (CoRR, 2020)

Feature Pyramid Grids. - Kai Chen 026; Yuhang Cao; Chen Change Loy; Dahua Lin; Christoph Feichtenhofer (CoRR, 2020)

Deep Insights into Convolutional Networks for Video Recognition. - Christoph Feichtenhofer; Axel Pinz; Richard P. Wildes; Andrew Zisserman (Int. J. Comput. Vis., 2020)

Modeling Human Motion with Quaternion-Based Neural Networks. - Dario Pavllo; Christoph Feichtenhofer; Michael Auli; David Grangier (Int. J. Comput. Vis., 2020)

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. - Hu Xu 001; Gargi Ghosh; Po-Yao Huang 001; Prahal Arora; Masoumeh Aminzadeh; Christoph Feichtenhofer; Florian Metze; Luke Zettlemoyer (ACL/IJCNLP (Findings), 2021)

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. - Christoph Feichtenhofer; Haoqi Fan 001; Bo Xiong; Ross B. Girshick; Kaiming He (CVPR, 2021)

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. - Hu Xu 001; Gargi Ghosh; Po-Yao Huang 001; Dmytro Okhonko; Armen Aghajanyan; Florian Metze; Luke Zettlemoyer; Christoph Feichtenhofer (EMNLP (1), 2021)

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

Multiview Pseudo-Labeling for Semi-supervised Learning from Video. - Bo Xiong; Haoqi Fan 001; Kristen Grauman; Christoph Feichtenhofer (ICCV, 2021)

PyTorchVideo: A Deep Learning Library for Video Understanding. - Haoqi Fan 001; Tullie Murrell; Heng Wang; Kalyan Vasudev Alwala; Yanghao Li; Yilei Li; Bo Xiong; Nikhila Ravi; Meng Li 004; Haichuan Yang; Jitendra Malik; Ross B. Girshick; et al. (ACM Multimedia, 2021)

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

A ConvNet for the 2020s. - Zhuang Liu 003; Hanzi Mao; Chao-Yuan Wu; Christoph Feichtenhofer; Trevor Darrell; Saining Xie (CVPR, 2022)

Masked Feature Prediction for Self-Supervised Visual Pre-Training. - Chen Wei 005; Haoqi Fan 001; Saining Xie; Chao-Yuan Wu; Alan L. Yuille; Christoph Feichtenhofer (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 007; Miao Liu 007; Xingyu Liu 001; Miguel Martin; Tushar Nagarajan; et al. (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)

TrackFormer: Multi-Object Tracking with Transformers. - Tim Meinhardt; Alexander Kirillov; Laura Leal-Taixé; 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 001; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer (CVPR, 2022)

Masked Autoencoders that Listen. - Po-Yao Huang 001; Hu Xu 001; Juncheng Li 001; Alexei Baevski; Michael Auli; Wojciech Galuba; Florian Metze; Christoph Feichtenhofer (NeurIPS, 2022)

Masked Autoencoders As Spatiotemporal Learners. - Christoph Feichtenhofer; Haoqi Fan 001; Yanghao Li; Kaiming He (NeurIPS, 2022)

Scaling Language-Image Pre-Training via Masking. - Yanghao Li; Haoqi Fan 001; Ronghang Hu; Christoph Feichtenhofer; Kaiming He (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)

Multiview Compressive Coding for 3D Reconstruction. - Chao-Yuan Wu; Justin Johnson 001; Jitendra Malik; Christoph Feichtenhofer; Georgia Gkioxari (CVPR, 2023)

CiT: Curation in Training for Effective Vision-Language Data. - Hu Xu 001; Saining Xie; Po-Yao Huang 001; Licheng Yu; Russell Howes; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICCV, 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)

The effectiveness of MAE pre-pretraining for billion-scale pretraining. - Mannat Singh; Quentin Duval; Kalyan Vasudev Alwala; Haoqi Fan 001; Vaibhav Aggarwal; Aaron Adcock; Armand Joulin; Piotr Dollár; Christoph Feichtenhofer; Ross B. Girshick; Rohit Girdhar; Ishan Misra (ICCV, 2023)

Token Merging: Your ViT But Faster. - Daniel Bolya; Cheng-Yang Fu; Xiaoliang Dai; Peizhao Zhang; Christoph Feichtenhofer; Judy Hoffman (ICLR, 2023)

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. - Chaitanya Ryali; Yuan-Ting Hu; Daniel Bolya; Chen Wei 005; Haoqi Fan 001; Po-Yao Huang 001; Vaibhav Aggarwal; Arkabandhu Chowdhury; Omid Poursaeed; Judy Hoffman; Jitendra Malik; Yanghao Li; et al. (ICML, 2023)

MAViL: Masked Audio-Video Learners. - Po-Yao Huang 001; Vasu Sharma; Hu Xu 001; Chaitanya Ryali; Haoqi Fan 001; Yanghao Li; Shang-Wen Li 001; Gargi Ghosh; Jitendra Malik; Christoph Feichtenhofer (NeurIPS, 2023)

Altogether: Image Captioning via Re-aligning Alt-text. - Hu Xu 001; Po-Yao Huang 001; Xiaoqing Ellen Tan; Ching-Feng Yeh; Jacob Kahn; Christine Jou; Gargi Ghosh; Omer Levy; Luke Zettlemoyer; Wen-tau Yih; Shang-Wen Li 001; Saining Xie; et al. (EMNLP, 2024)

Demystifying CLIP Data. - Hu Xu 001; Saining Xie; Xiaoqing Ellen Tan; Po-Yao Huang 001; Russell Howes; Vasu Sharma; Shang-Wen Li 001; 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 (ICLR, 2024)

SAM 2: Segment Anything in Images and Videos. - Nikhila Ravi; Valentin Gabeur; Yuan-Ting Hu; Ronghang Hu; Chaitanya Ryali; Tengyu Ma 005; Haitham Khedr; Roman Rädle; Chloé Rolland; Laura Gustafson; Eric Mintun; Junting Pan; et al. (ICLR, 2025)

Gaussian Masked Autoencoders. - Jathushan Rajasegaran; Xinlei Chen; Rulilong Li; Christoph Feichtenhofer; Jitendra Malik; Shiry Ginosar (CoRR, 2025)

An Empirical Study of Autoregressive Pre-training from Videos. - Jathushan Rajasegaran; Ilija Radosavovic; Rahul Ravishankar; Yossi Gandelsman; Christoph Feichtenhofer; Jitendra Malik (CoRR, 2025)

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding. - Jang Hyun Cho; Andrea Madotto; Effrosyni Mavroudi; Triantafyllos Afouras; Tushar Nagarajan; Muhammad Maaz 001; Yale Song; Tengyu Ma 005; Shuming Hu; Suyog Dutt Jain; Miguel Martin; Huiyu Wang; et al. (CoRR, 2025)

Perception Encoder: The best visual embeddings are not at the output of the network. - Daniel Bolya; Po-Yao Huang 001; Peize Sun; Jang Hyun Cho; Andrea Madotto; Chen Wei 005; Tengyu Ma 005; Jiale Zhi; Jathushan Rajasegaran; Hanoona Rasheed; Junke Wang; Marco Monteiro; et al. (CoRR, 2025)