Haoqi Fan

63 papers A* 29Journal 34
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adversarial Flow Models.
CoRR
Shanchuan Lin, Ceyuan Yang, Zhijie Lin, Hao Chen, Haoqi Fan
2025 J jnl
Emerging Properties in Unified Multimodal Pretraining.
CoRR
Chaorui Deng, Deyao Zhu, Kunchang Li, Chenhui Gou, Feng Li, Zeyu Wang, Shu Zhong, Weihao Yu, Xiaonan Nie, Ziang Song, Shi Guang, Haoqi Fan
2025 A* conf
LLaVA-Critic: Learning to Evaluate Multimodal Models.
CVPR
Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li
2025 A* conf
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning.
ICLR
Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan
2025 J jnl
Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning.
CoRR
Qinghao Ye, Xianhan Zeng, Fu Li, Chunyuan Li, Haoqi Fan
2025 J jnl
VQ-VA World: Towards High-Quality Visual Question-Visual Answering.
CoRR
Chenhui Gou, Zilong Chen, Zeyu Wang, Feng Li, Deyao Zhu, Zicheng Duan, Kunchang Li, Chaorui Deng, Hongyi Yuan, Haoqi Fan, Cihang Xie, Jianfei Cai, Hamid Rezatofighi
2025 J jnl
When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought.
CoRR
Yiyang Zhou, Haoqin Tu, Zijun Wang, Zeyu Wang, Niklas Muennighoff, Fan Nie, Yejin Choi, James Zou, Chaorui Deng, Shen Yan, Haoqi Fan, Cihang Xie, Huaxiu Yao, Qinghao Ye
2024 J jnl
Causal Diffusion Transformers for Generative Modeling.
CoRR
Chaorui Deng, Deyao Zhu, Kunchang Li, Shi Guang, Haoqi Fan
2024 A* conf
Classification Done Right for Vision-Language Pre-Training.
NeurIPS
Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan
2024 J jnl
Classification Done Right for Vision-Language Pre-Training.
CoRR
Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan
2024 J jnl
LLaVA-Critic: Learning to Evaluate Multimodal Models.
CoRR
Tianyi Xiong, Xiyao Wang, Dong Guo, Qinghao Ye, Haoqi Fan, Quanquan Gu, Heng Huang, Chunyuan Li
2023 A* conf
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference.
CVPR
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Celine Lin
2023 A* conf
Diffusion Models as Masked Autoencoders.
ICCV
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
2023 J jnl
Diffusion Models as Masked Autoencoders.
CoRR
Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
2023 A* conf
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.
ICML
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
2023 J jnl
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.
CoRR
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
2023 A* conf
MAViL: Masked Audio-Video Learners.
NeurIPS
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2023 J jnl
Reversible Vision Transformers.
CoRR
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
2023 A* conf
Scaling Language-Image Pre-Training via Masking.
CVPR
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
2023 A* conf
The effectiveness of MAE pre-pretraining for billion-scale pretraining.
ICCV
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
2023 J jnl
The effectiveness of MAE pre-pretraining for billion-scale pretraining.
CoRR
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
2022 J jnl
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference.
CoRR
Haoran You, Yunyang Xiong, Xiaoliang Dai, Bichen Wu, Peizhao Zhang, Haoqi Fan, Peter Vajda, Yingyan Lin
2022 J jnl
MAViL: Masked Audio-Video Learners.
CoRR
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2022 A* conf
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection.
CVPR
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2022 A* conf
Masked Autoencoders As Spatiotemporal Learners.
NeurIPS
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
2022 J jnl
Masked Autoencoders As Spatiotemporal Learners.
CoRR
Christoph Feichtenhofer, Haoqi Fan, Yanghao Li, Kaiming He
2022 A* conf
Masked Feature Prediction for Self-Supervised Visual Pre-Training.
CVPR
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
2022 A* conf
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.
CVPR
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2022 J jnl
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition.
CoRR
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2022 A* conf
On the Importance of Asymmetry for Siamese Representation Learning.
CVPR
Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen
2022 J jnl
On the Importance of Asymmetry for Siamese Representation Learning.
CoRR
Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen
2022 A* conf
Reversible Vision Transformers.
CVPR
Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik
2022 J jnl
Scaling Language-Image Pre-training via Masking.
CoRR
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, Kaiming He
2022 A* conf
Unified Transformer Tracker for Object Tracking.
CVPR
Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan
2022 J jnl
Unified Transformer Tracker for Object Tracking.
CoRR
Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan
2021 A* conf
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning.
CVPR
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
2021 J jnl
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning.
CoRR
Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He
2021 A* conf
Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories.
CVPR
Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang
2021 J jnl
Beyond Short Clips: End-to-End Video-Level Learning with Collaborative Memories.
CoRR
Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry Davis, Heng Wang
2021 J jnl
Improved Multiscale Vision Transformers for Classification and Detection.
CoRR
Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer
2021 J jnl
Masked Feature Prediction for Self-Supervised Visual Pre-Training.
CoRR
Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer
2021 A* conf
Multiscale Vision Transformers.
ICCV
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
2021 J jnl
Multiscale Vision Transformers.
CoRR
Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer
2021 A* conf
Multiview Pseudo-Labeling for Semi-supervised Learning from Video.
ICCV
Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer
2021 J jnl
Multiview Pseudo-Labeling for Semi-supervised Learning from Video.
CoRR
Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer
2021 A* conf
PyTorchVideo: A Deep Learning Library for Video Understanding.
ACM Multimedia
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
2021 J jnl
PyTorchVideo: A Deep Learning Library for Video Understanding.
CoRR
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
2020 J jnl
Can Temporal Information Help with Contrastive Self-Supervised Learning?
CoRR
Yutong Bai, Haoqi Fan, Ishan Misra, Ganesh Venkatesh, Yongyi Lu, Yuyin Zhou, Qihang Yu, Vikas Chandra, Alan L. Yuille
2020 J jnl
Improved Baselines with Momentum Contrastive Learning.
CoRR
Xinlei Chen, Haoqi Fan, Ross B. Girshick, Kaiming He
2020 A* conf
Momentum Contrast for Unsupervised Visual Representation Learning.
CVPR
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
2019 A* conf
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution.
ICCV
Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
2019 J jnl
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution.
CoRR
Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, Jiashi Feng
2019 A* conf
Long-Term Feature Banks for Detailed Video Understanding.
CVPR
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
2019 J jnl
Momentum Contrast for Unsupervised Visual Representation Learning.
CoRR
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, Ross B. Girshick
2019 A* conf
Order-Aware Generative Modeling Using the 3D-Craft Dataset.
ICCV
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
2019 A* conf
SlowFast Networks for Video Recognition.
ICCV
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
2018 A* conf
Efficient K-Shot Learning With Regularized Deep Networks.
AAAI
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani
2018 J jnl
Long-Term Feature Banks for Detailed Video Understanding.
CoRR
Chao-Yuan Wu, Christoph Feichtenhofer, Haoqi Fan, Kaiming He, Philipp Krähenbühl, Ross B. Girshick
2018 J jnl
SlowFast Networks for Video Recognition.
CoRR
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, Kaiming He
2018 A* conf
Stacked Latent Attention for Multimodal Reasoning.
CVPR
Haoqi Fan, Jiatong Zhou
2017 J jnl
Efficient K-Shot Learning with Regularized Deep Networks.
CoRR
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti, Kris M. Kitani
2016 A* conf
Going Deeper into First-Person Activity Recognition.
CVPR
Minghuang Ma, Haoqi Fan, Kris M. Kitani
2016 J jnl
Going Deeper into First-Person Activity Recognition.
CoRR
Minghuang Ma, Haoqi Fan, Kris M. Kitani