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Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers


Jun 09, 2021
Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, Jo\ão F. Henriques

* Project page: https://facebookresearch.github.io/Motionformer 

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VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding


May 20, 2021
Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer

* 9 pages, ACL Findings 2021 

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A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning


Apr 29, 2021
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross Girshick, Kaiming He

* CVPR 2021 

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Multiscale Vision Transformers


Apr 22, 2021
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer

* Technical report 

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Multiview Pseudo-Labeling for Semi-supervised Learning from Video


Apr 01, 2021
Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer

* Technical report 

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TrackFormer: Multi-Object Tracking with Transformers


Jan 07, 2021
Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixe, Christoph Feichtenhofer

* Tech. report 

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X3D: Expanding Architectures for Efficient Video Recognition


Apr 09, 2020
Christoph Feichtenhofer

* CVPR 2020 (Oral) 

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Feature Pyramid Grids


Apr 07, 2020
Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer

* Technical report 

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Audiovisual SlowFast Networks for Video Recognition


Jan 23, 2020
Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer

* Technical report 

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EGO-TOPO: Environment Affordances from Egocentric Video


Jan 14, 2020
Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman


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A Multigrid Method for Efficiently Training Video Models


Dec 02, 2019
Chao-Yuan Wu, Ross Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl

* Technical report 

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Learning Temporal Pose Estimation from Sparsely-Labeled Videos


Jun 06, 2019
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani

* arXiv admin note: text overlap with arXiv:1812.04172 

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Grounded Human-Object Interaction Hotspots from Video (Extended Abstract)


Jun 03, 2019
Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman

* arXiv admin note: substantial text overlap with arXiv:1812.04558 

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Modeling Human Motion with Quaternion-based Neural Networks


Jan 21, 2019
Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier

* arXiv admin note: substantial text overlap with arXiv:1805.06485 

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Long-Term Feature Banks for Detailed Video Understanding


Dec 12, 2018
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross Girshick

* Technical report 

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Grounded Human-Object Interaction Hotspots from Video


Dec 11, 2018
Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman


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Learning Discriminative Motion Features Through Detection


Dec 11, 2018
Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani


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SlowFast Networks for Video Recognition


Dec 10, 2018
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He

* Technical report 

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3D human pose estimation in video with temporal convolutions and semi-supervised training


Nov 28, 2018
Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli

* 13 pages 

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Detect to Track and Track to Detect


Mar 07, 2018
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman

* ICCV 2017. Code and models: https://github.com/feichtenhofer/Detect-Track Results: https://www.robots.ox.ac.uk/~vgg/research/detect-track/ 

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Camera-based vehicle velocity estimation from monocular video


Feb 20, 2018
Moritz Kampelmühler, Michael G. Müller, Christoph Feichtenhofer

* 8 pages, 5 figures, in CVWW2018 

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What have we learned from deep representations for action recognition?


Jan 04, 2018
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman

* This document is best viewed in Adobe Reader where figures play on click. Supplementary material can be downloaded at http://feichtenhofer.github.io/action_vis.pdf 

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Spatiotemporal Residual Networks for Video Action Recognition


Nov 07, 2016
Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes

* NIPS 2016 

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Convolutional Two-Stream Network Fusion for Video Action Recognition


Sep 26, 2016
Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman

* in Proc. CVPR 2016 

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