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Christoph Feichtenhofer
Christoph Feichtenhofer
Research Scientist, Facebook AI Research (FAIR)
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Convolutional two-stream network fusion for video action recognition
C Feichtenhofer, A Pinz, AP Zisserman
Computer Vision and Pattern Recognition (CVPR), 2016, 2016
27842016
SlowFast Networks for Video Recognition
C Feichtenhofer, H Fan, J Malik, K He
International Conference on Computer Vision (ICCV), 2019, 2019
18872019
Spatiotemporal Residual Networks for Video Action Recognition
C Feichtenhofer, A Pinz, RP Wildes
Advances in Neural Information Processing Systems, 3468-3476, 2016
1008*2016
A convnet for the 2020s
Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
7592022
3d human pose estimation in video with temporal convolutions and semi-supervised training
D Pavllo, C Feichtenhofer, D Grangier, M Auli
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
6822019
Detect to track and track to detect
C Feichtenhofer, A Pinz, A Zisserman
Proceedings of the IEEE international conference on computer vision, 3038-3046, 2017
5252017
X3D: Expanding architectures for efficient video recognition
C Feichtenhofer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
5152020
Multiscale Vision Transformers
H Fan, B Xiong, K Mangalam, Y Li, Z Yan, J Malik, C Feichtenhofer
arXiv preprint arXiv:2104.11227, 2021
4332021
Long-term feature banks for detailed video understanding
CY Wu, C Feichtenhofer, H Fan, K He, P Krahenbuhl, R Girshick
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3892019
Trackformer: Multi-object tracking with transformers
T Meinhardt, A Kirillov, L Leal-Taixe, C Feichtenhofer
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
2512022
Masked feature prediction for self-supervised visual pre-training
C Wei, H Fan, S Xie, CY Wu, A Yuille, C Feichtenhofer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1712022
Audiovisual slowfast networks for video recognition
F Xiao, YJ Lee, K Grauman, J Malik, C Feichtenhofer
arXiv preprint arXiv:2001.08740, 2020
1342020
Ego4d: Around the world in 3,000 hours of egocentric video
K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1282022
A large-scale study on unsupervised spatiotemporal representation learning
C Feichtenhofer, H Fan, B Xiong, R Girshick, K He
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1282021
Modeling human motion with quaternion-based neural networks
D Pavllo, C Feichtenhofer, M Auli, D Grangier
International Journal of Computer Vision 128, 855-872, 2020
1232020
VideoCLIP: Contrastive pre-training for zero-shot video-text understanding
H Xu, G Ghosh, PY Huang, D Okhonko, A Aghajanyan, F Metze, ...
Empirical Methods in Natural Language Processing (EMNLP) 2021, 2021
1182021
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
Y Li, CY Wu, H Fan, K Mangalam, B Xiong, J Malik, C Feichtenhofer
arXiv preprint arXiv:2112.01526, 2021
1082021
A perceptual image sharpness metric based on local edge gradient analysis
C Feichtenhofer, H Fassold, P Schallauer
IEEE Signal Processing Letters 20 (4), 379-382, 2013
1082013
Keeping your eye on the ball: Trajectory attention in video transformers
M Patrick, D Campbell, Y Asano, I Misra, F Metze, C Feichtenhofer, ...
Advances in neural information processing systems 34, 12493-12506, 2021
932021
A multigrid method for efficiently training video models
CY Wu, R Girshick, K He, C Feichtenhofer, P Krahenbuhl
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
832020
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