Christoph Feichtenhofer
RESEARCH SCIENTIST | MENLO PARK, UNITED STATES
Is a research scientist at Facebook AI Research (FAIR). Prior to joining Facebook in Spring 2018, he received the PhD degree in computer science from TU Graz, and spent time as a visiting researcher at the York University Toronto and the University of Oxford. He is the recipient of a DOC Fellowship of the Austrian Academy of Sciences and his PhD thesis was awarded with the Award of Excellence for outstanding doctoral thesis in Austria. His main areas of research include the development of effective representations for video understanding. He aims to find solutions for problems that are grounded in applications such as recognition and detection from video.
Research Areas
Christoph's Publications
July 29, 2024
COMPUTER VISION
SAM 2: Segment Anything in Images and Videos
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chay 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
July 29, 2024
October 02, 2023
COMPUTER VISION
The effectiveness of MAE pre-pretraining for billion-scale pretraining
Mannat Singh, Quentin Duval, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Piotr Dollar, Christoph Feichtenhofer, Ross Girshick, Rohit Girdhar, Ishan Misra
October 02, 2023
April 06, 2023
COMPUTER VISION
On the Benefits of 3D Pose and Tracking for Human Action Recognition
Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik
April 06, 2023
April 05, 2023
COMPUTER VISION
Multiview Compressive Coding for 3D Reconstruction
Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari
April 05, 2023
October 20, 2022
RESEARCH
ML APPLICATIONS
Masked Autoencoders As Spatiotemporal Learners
Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Yanghao Li
October 20, 2022
June 16, 2020
RESEARCH
COMPUTER VISION
A Multigrid Method for Efficiently Training Video Models
Ross Girshick, Chao-Yuan Wu, Christoph Feichtenhofer, Kaiming He, Philipp Krähenbühl
June 16, 2020
April 01, 2020
RESEARCH
COMPUTER VISION
Ego-Topo: Environment Affordances from Egocentric Video
Kristen Grauman, Christoph Feichtenhofer, Yanghao Li, Tushar Nagarajana
April 01, 2020
June 18, 2019
RESEARCH
COMPUTER VISION
Long-Term Feature Banks for Detailed Video Understanding
Ross Girshick, Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Kräkenbühl
June 18, 2019
May 13, 2019
RESEARCH
COMPUTER VISION
3D human pose estimation in video with temporal convolutions and semi-supervised training
Michael Auli, Christoph Feichtenhofer, Dario Pavllo, David Grangier
May 13, 2019
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