引用次数
引用: 23,315
H-指数: 43
I10-指数 : 57
出版物: 72
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
113
2013
ConvNet for the 2020s. arXiv 2022
Z Liu , H Mao , CY Wu , C Feichtenhofer
arXiv preprint arXiv:2201.03545
54
ConvNet for the 2020s. arXiv
Z Liu , H Mao , CY Wu , C Feichtenhofer
arXiv preprint arXiv:2201.03545 10
51
2022
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
Y Asano , D Campbell , C Feichtenhofer , J Henriques
15San Diego, CANeural Information Processing Systems Foundation
2022
Multiscale vision transformers. arXiv 2021
H Fan , B Xiong , K Mangalam , Y Li
arXiv preprint arXiv:2104.11227
11
Spatiotemporal Residual Networks for Video Action Recognition
Axel Pinz , Richard P. Wildes , Christoph Feichtenhofer
neural information processing systems 29 3468 -3476
270
2016
Detect to Track and Track to Detect
Axel Pinz , Christoph Feichtenhofer , Andrew Zisserman
arXiv: Computer Vision and Pattern Recognition
540
2017
Long-Term Feature Banks for Detailed Video Understanding.
Philipp Krähenbühl , Kaiming He , Christoph Feichtenhofer , Ross Girshick
arXiv: Computer Vision and Pattern Recognition
391
2018
Camera-based vehicle velocity estimation from monocular video
Christoph Feichtenhofer , Michael Günther Müller , Moritz Daniel Kampelmühler
23rd Computer Vision Winter Workshop: CVWW 2018
30
2018
Learning Temporal Pose Estimation from Sparsely-Labeled Videos
Lorenzo Torresani , Jianbo Shi , Gedas Bertasius , Christoph Feichtenhofer
neural information processing systems 32 3027 -3038
22
2019
A Multigrid Method for Efficiently Training Video Models
Philipp Krähenbühl , Kaiming He , Christoph Feichtenhofer , Ross Girshick
arXiv: Computer Vision and Pattern Recognition
85
2019
EGO-TOPO: Environment Affordances from Egocentric Video
Yanghao Li , Kristen Grauman , Christoph Feichtenhofer , Tushar Nagarajan
arXiv: Computer Vision and Pattern Recognition
57
2020
Audiovisual SlowFast Networks for Video Recognition
Jitendra Malik , Yong Jae Lee , Fanyi Xiao , Kristen Grauman
arXiv: Computer Vision and Pattern Recognition
137
2020
Feature Pyramid Grids
Dahua Lin , Christoph Feichtenhofer , Kai Chen , Yuhang Cao
arXiv: Computer Vision and Pattern Recognition
31
2020
TrackFormer: Multi-Object Tracking with Transformers.
Laura Leal-Taixé , Alexander Kirillov , Christoph Feichtenhofer , Tim Meinhardt
arXiv: Computer Vision and Pattern Recognition
267
2021
Multiscale Vision Transformers.
Jitendra Malik , Zhicheng Yan , Yanghao Li , Christoph Feichtenhofer
arXiv: Computer Vision and Pattern Recognition
452
2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning.
Kaiming He , Christoph Feichtenhofer , Bo Xiong , Ross B. Girshick
arXiv: Computer Vision and Pattern Recognition
131
2021
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding.
Luke Zettlemoyer , Christoph Feichtenhofer , Po-Yao Huang , Florian Metze
arXiv: Computer Vision and Pattern Recognition
46
2021
Spatio-temporal Good Features to Track
Christoph Feichtenhofer , Axel Pinz
international conference on computer vision 246 -253
8
2013
Deep Insights into Convolutional Networks for Video Recognition
Christoph Feichtenhofer , Axel Pinz , Richard P. Wildes , Andrew Zisserman
International Journal of Computer Vision 128 ( 2) 420 -437
22
2020