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ORCIDHaoqi Fan 0001
Person information
- affiliation: Facebook
- affiliation (former): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Haoqi Fan 0002 — Beijing University of Technology, China
- Haoqi Fan 0003 — Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Haoqi Fan 0004 — Meta Reality Labs
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2020 – today
- 2023
[c25]Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-Training via Masking. CVPR 2023: 23390-23400- [c24]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 - [c23]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 - [c22]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 - [c21]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 - [i25]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CoRR abs/2302.04869 (2023) - [i24]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) - [i23]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) - [i22]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) - 2022
- [c20]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 - [c19]Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan:
Unified Transformer Tracker for Object Tracking. CVPR 2022: 8771-8780 - [c18]Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik:
Reversible Vision Transformers. CVPR 2022: 10820-10830 - [c17]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 - [c16]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 - [c15]Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen:
On the Importance of Asymmetry for Siamese Representation Learning. CVPR 2022: 16549-16558 - [c14]Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He:
Masked Autoencoders As Spatiotemporal Learners. NeurIPS 2022 - [i21]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) - [i20]Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan:
Unified Transformer Tracker for Object Tracking. CoRR abs/2203.15175 (2022) - [i19]Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen:
On the Importance of Asymmetry for Siamese Representation Learning. CoRR abs/2204.00613 (2022) - [i18]Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He:
Masked Autoencoders As Spatiotemporal Learners. CoRR abs/2205.09113 (2022) - [i17]Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He:
Scaling Language-Image Pre-training via Masking. CoRR abs/2212.00794 (2022) - [i16]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
- [c13]Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He:
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. CVPR 2021: 3299-3309 - [c12]Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories. CVPR 2021: 7567-7576 - [c11]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. ICCV 2021: 6804-6815 - [c10]Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. ICCV 2021: 7189-7199 - [c9]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 - [i15]Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer:
Multiview Pseudo-Labeling for Semi-supervised Learning from Video. CoRR abs/2104.00682 (2021) - [i14]Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang:
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories. CoRR abs/2104.01198 (2021) - [i13]Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer:
Multiscale Vision Transformers. CoRR abs/2104.11227 (2021) - [i12]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) - [i11]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) - [i10]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) - [i9]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
- [c8]Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. CVPR 2020: 9726-9735 - [i8]Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He:
Improved Baselines with Momentum Contrastive Learning. CoRR abs/2003.04297 (2020) - [i7]Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille:
Can Temporal Information Help with Contrastive Self-Supervised Learning? CoRR abs/2011.13046 (2020)
2010 – 2019
- 2019
- [c7]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 - [c6]Zhuoyuan Chen, Kavya Srinet, Charles R. Qi, Haoqi Fan, Jerry Ma, Larry Zitnick, Demi Guo, Tong Xiao, Saining Xie, Xinlei Chen, Arthur Szlam, Shubham Tulsiani, Haonan Yu, Jonathan Gray:
Order-Aware Generative Modeling Using the 3D-Craft Dataset. ICCV 2019: 1764-1773 - [c5]Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng:
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. ICCV 2019: 3434-3443 - [c4]Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. ICCV 2019: 6201-6210 - [i6]Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng:
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution. CoRR abs/1904.05049 (2019) - [i5]Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick:
Momentum Contrast for Unsupervised Visual Representation Learning. CoRR abs/1911.05722 (2019) - 2018
- [c3]Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani:
Efficient K-Shot Learning With Regularized Deep Networks. AAAI 2018: 4382-4389 - [c2]Haoqi Fan, Jiatong Zhou:
Stacked Latent Attention for Multimodal Reasoning. CVPR 2018: 1072-1080 - [i4]Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He:
SlowFast Networks for Video Recognition. CoRR abs/1812.03982 (2018) - [i3]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
- [i2]Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani:
Efficient K-Shot Learning with Regularized Deep Networks. CoRR abs/1710.02277 (2017) - 2016
- [c1]Minghuang Ma, Haoqi Fan, Kris M. Kitani:
Going Deeper into First-Person Activity Recognition. CVPR 2016: 1894-1903 - [i1]Minghuang Ma, Haoqi Fan, Kris M. Kitani:
Going Deeper into First-Person Activity Recognition. CoRR abs/1605.03688 (2016)
Coauthor Index
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