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2020 – today
- 2024
[c46]Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
Demystifying CLIP Data. ICLR 2024- [c45]Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer:
Window Attention is Bugged: How not to Interpolate Position Embeddings. ICLR 2024 - [i46]Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer:
SAM 2: Segment Anything in Images and Videos. CoRR abs/2408.00714 (2024) - 2023
- [c44]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CVPR 2023: 640-649 - [c43]Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CVPR 2023: 9065-9075 - [c42]Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-Training via Masking. CVPR 2023: 23390-23400 - [c41]Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra:
The effectiveness of MAE pre-pretraining for billion-scale pretraining. ICCV 2023: 5461-5471 - [c40]Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
CiT: Curation in Training for Effective Vision-Language Data. ICCV 2023: 15134-15143 - [c39]Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer:
Diffusion Models as Masked Autoencoders. ICCV 2023: 16238-16248 - [c38]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman:
Token Merging: Your ViT But Faster. ICLR 2023 - [c37]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. ICML 2023: 29441-29454 - [c36]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. NeurIPS 2023 - [i45]Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
CiT: Curation in Training for Effective Vision-Language Data. CoRR abs/2301.02241 (2023) - [i44]Chao-Yuan Wu, Justin Johnson, Jitendra Malik, Christoph Feichtenhofer, Georgia Gkioxari:
Multiview Compressive Coding for 3D Reconstruction. CoRR abs/2301.08247 (2023) - [i43]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CoRR abs/2302.04869 (2023) - [i42]Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra:
The effectiveness of MAE pre-pretraining for billion-scale pretraining. CoRR abs/2303.13496 (2023) - [i41]Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Christoph Feichtenhofer, Jitendra Malik:
On the Benefits of 3D Pose and Tracking for Human Action Recognition. CoRR abs/2304.01199 (2023) - [i40]Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie
, Alan L. Yuille, Christoph Feichtenhofer:
Diffusion Models as Masked Autoencoders. CoRR abs/2304.03283 (2023) - [i39]Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer:
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. CoRR abs/2306.00989 (2023) - [i38]Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
Demystifying CLIP Data. CoRR abs/2309.16671 (2023) - [i37]Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer:
Window Attention is Bugged: How not to Interpolate Position Embeddings. CoRR abs/2311.05613 (2023) - 2022
- [c35]Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. CVPR 2022: 4794-4804 - [c34]Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. CVPR 2022: 8834-8844 - [c33]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CVPR 2022: 10820-10830 - [c32]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CVPR 2022: 11966-11976 - [c31]Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CVPR 2022: 13577-13587 - [c30]Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CVPR 2022: 14648-14658 - [c29]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 2022: 18973-18990 - [c28]Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer:
Masked Autoencoders that Listen. NeurIPS 2022 - [c27]Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He:
Masked Autoencoders As Spatiotemporal Learners. NeurIPS 2022 - [i36]Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie:
A ConvNet for the 2020s. CoRR abs/2201.03545 (2022) - [i35]Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. CoRR abs/2201.08383 (2022) - [i34]Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He:
Masked Autoencoders As Spatiotemporal Learners. CoRR abs/2205.09113 (2022) - [i33]Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer:
Masked Autoencoders that Listen. CoRR abs/2207.06405 (2022) - [i32]Daniel Bolya, Cheng-Yang Fu, Xiaoliang Dai, Peizhao Zhang, Christoph Feichtenhofer, Judy Hoffman:
Token Merging: Your ViT But Faster. CoRR abs/2210.09461 (2022) - [i31]Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-training via Masking. CoRR abs/2212.00794 (2022) - [i30]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. CoRR abs/2212.08071 (2022) - 2021
- [c26]Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer:
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. ACL/IJCNLP (Findings) 2021: 4227-4239 - [c25]Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He:
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CVPR 2021: 3299-3309 - [c24]Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer:
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. EMNLP (1) 2021: 6787-6800 - [c23]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. ICCV 2021: 6804-6815 - [c22]Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. ICCV 2021: 7189-7199 - [c21]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. ACM Multimedia 2021: 3783-3786 - [c20]Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques:
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. NeurIPS 2021: 12493-12506 - [i29]Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer:
TrackFormer: Multi-Object Tracking with Transformers. CoRR abs/2101.02702 (2021) - [i28]Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. CoRR abs/2104.00682 (2021) - [i27]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. CoRR abs/2104.11227 (2021) - [i26]Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He:
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CoRR abs/2104.14558 (2021) - [i25]Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer:
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. CoRR abs/2105.09996 (2021) - [i24]Mandela Patrick, Dylan Campbell, Yuki Markus Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, João F. Henriques:
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. CoRR abs/2106.05392 (2021) - [i23]Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer:
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. CoRR abs/2109.14084 (2021) - [i22]Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik:
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR abs/2110.07058 (2021) - [i21]Haoqi Fan, Tullie Murrell, Heng Wang, Kalyan Vasudev Alwala, Yanghao Li, Yilei Li, Bo Xiong, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross B. Girshick, Matt Feiszli, Aaron Adcock, Wan-Yen Lo, Christoph Feichtenhofer:
PyTorchVideo: A Deep Learning Library for Video Understanding. CoRR abs/2111.09887 (2021) - [i20]Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer:
Improved Multiscale Vision Transformers for Classification and Detection. CoRR abs/2112.01526 (2021) - [i19]Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer:
Masked Feature Prediction for Self-Supervised Visual Pre-Training. CoRR abs/2112.09133 (2021) - 2020
- [j4]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
Deep Insights into Convolutional Networks for Video Recognition. Int. J. Comput. Vis. 128(2): 420-437 (2020) - [j3]Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier:
Modeling Human Motion with Quaternion-Based Neural Networks. Int. J. Comput. Vis. 128(4): 855-872 (2020) - [c19]Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. CVPR 2020: 150-159 - [c18]Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
Ego-Topo: Environment Affordances From Egocentric Video. CVPR 2020: 160-169 - [c17]Christoph Feichtenhofer:
X3D: Expanding Architectures for Efficient Video Recognition. CVPR 2020: 200-210 - [i18]Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman:
EGO-TOPO: Environment Affordances from Egocentric Video. CoRR abs/2001.04583 (2020) - [i17]Fanyi Xiao, Yong Jae Lee, Kristen Grauman, Jitendra Malik, Christoph Feichtenhofer:
Audiovisual SlowFast Networks for Video Recognition. CoRR abs/2001.08740 (2020) - [i16]Kai Chen, Yuhang Cao, Chen Change Loy, Dahua Lin, Christoph Feichtenhofer:
Feature Pyramid Grids. CoRR abs/2004.03580 (2020) - [i15]Christoph Feichtenhofer:
X3D: Expanding Architectures for Efficient Video Recognition. CoRR abs/2004.04730 (2020)
2010 – 2019
- 2019
- [c16]Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. CVPR 2019: 284-293 - [c15]Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli:
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training. CVPR 2019: 7753-7762 - [c14]Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. ICCV 2019: 6201-6210 - [c13]Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots From Video. ICCV 2019: 8687-8696 - [c12]Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. NeurIPS 2019: 3021-3032 - [i14]Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier:
Modeling Human Motion with Quaternion-based Neural Networks. CoRR abs/1901.07677 (2019) - [i13]Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots from Video (Extended Abstract). CoRR abs/1906.01963 (2019) - [i12]Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Temporal Pose Estimation from Sparsely-Labeled Videos. CoRR abs/1906.04016 (2019) - [i11]Chao-Yuan Wu, Ross B. Girshick, Kaiming He, Christoph Feichtenhofer, Philipp Krähenbühl:
A Multigrid Method for Efficiently Training Video Models. CoRR abs/1912.00998 (2019) - 2018
- [c11]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
What Have We Learned From Deep Representations for Action Recognition? CVPR 2018: 7844-7853 - [i10]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes, Andrew Zisserman:
What have we learned from deep representations for action recognition? CoRR abs/1801.01415 (2018) - [i9]Moritz Kampelmühler, Michael G. Müller, Christoph Feichtenhofer:
Camera-based vehicle velocity estimation from monocular video. CoRR abs/1802.07094 (2018) - [i8]Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli:
3D human pose estimation in video with temporal convolutions and semi-supervised training. CoRR abs/1811.11742 (2018) - [i7]Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. CoRR abs/1812.03982 (2018) - [i6]Gedas Bertasius, Christoph Feichtenhofer, Du Tran, Jianbo Shi, Lorenzo Torresani:
Learning Discriminative Motion Features Through Detection. CoRR abs/1812.04172 (2018) - [i5]Tushar Nagarajan, Christoph Feichtenhofer, Kristen Grauman:
Grounded Human-Object Interaction Hotspots from Video. CoRR abs/1812.04558 (2018) - [i4]Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick:
Long-Term Feature Banks for Detailed Video Understanding. CoRR abs/1812.05038 (2018) - 2017
- [c10]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Temporal Residual Networks for Dynamic Scene Recognition. CVPR 2017: 7435-7444 - [c9]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spatiotemporal Multiplier Networks for Video Action Recognition. CVPR 2017: 7445-7454 - [c8]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Detect to Track and Track to Detect. ICCV 2017: 3057-3065 - [i3]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Detect to Track and Track to Detect. CoRR abs/1710.03958 (2017) - 2016
- [j2]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Dynamic Scene Recognition with Complementary Spatiotemporal Features. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2389-2401 (2016) - [c7]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Convolutional Two-Stream Network Fusion for Video Action Recognition. CVPR 2016: 1933-1941 - [c6]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spatiotemporal Residual Networks for Video Action Recognition. NIPS 2016: 3468-3476 - [i2]Christoph Feichtenhofer, Axel Pinz, Andrew Zisserman:
Convolutional Two-Stream Network Fusion for Video Action Recognition. CoRR abs/1604.06573 (2016) - [i1]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spatiotemporal Residual Networks for Video Action Recognition. CoRR abs/1611.02155 (2016) - 2015
- [c5]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Dynamically encoded actions based on spacetime saliency. CVPR 2015: 2755-2764 - 2014
- [c4]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Bags of Spacetime Energies for Dynamic Scene Recognition. CVPR 2014: 2681-2688 - [c3]Michael Goller, Christoph Feichtenhofer, Axel Pinz:
Fusing RFID and computer vision for probabilistic tag localization. IEEE RFID 2014: 89-96 - 2013
- [j1]Christoph Feichtenhofer, Hannes Fassold, Peter Schallauer:
A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis. IEEE Signal Process. Lett. 20(4): 379-382 (2013) - [c2]Christoph Feichtenhofer, Axel Pinz, Richard P. Wildes:
Spacetime Forests with Complementary Features for Dynamic Scene Recognition. BMVC 2013 - [c1]Christoph Feichtenhofer, Axel Pinz:
Spatio-temporal Good Features to Track. ICCV Workshops 2013: 246-253
Coauthor Index
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