Going Deeper into First-Person Activity Recognition. - Minghuang Ma; Haoqi Fan 001; Kris M. Kitani (CVPR, 2016)

Efficient K-Shot Learning With Regularized Deep Networks. - Donghyun Yoo; Haoqi Fan 001; Vishnu Naresh Boddeti; Kris M. Kitani (AAAI, 2018)

Stacked Latent Attention for Multimodal Reasoning. - Haoqi Fan 001; Jiatong Zhou (CVPR, 2018)

Long-Term Feature Banks for Detailed Video Understanding. - Chao-Yuan Wu; Christoph Feichtenhofer; Haoqi Fan 001; Kaiming He; Philipp Krähenbühl; Ross B. Girshick (CVPR, 2019)

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution. - Yunpeng Chen; Haoqi Fan 001; Bing Xu; Zhicheng Yan 001; Yannis Kalantidis; Marcus Rohrbach; Shuicheng Yan; Jiashi Feng (ICCV, 2019)

Order-Aware Generative Modeling Using the 3D-Craft Dataset. - Zhuoyuan Chen; Kavya Srinet; Charles R. Qi; Haoqi Fan 001; Jerry Ma; Larry Zitnick; Demi Guo; Tong Xiao; Saining Xie; Xinlei Chen; Arthur Szlam; Shubham Tulsiani; et al. (ICCV, 2019)

SlowFast Networks for Video Recognition. - Christoph Feichtenhofer; Haoqi Fan 001; Jitendra Malik; Kaiming He (ICCV, 2019)

Momentum Contrast for Unsupervised Visual Representation Learning. - Kaiming He; Haoqi Fan 001; Yuxin Wu; Saining Xie; Ross B. Girshick (CVPR, 2020)

Improved Baselines with Momentum Contrastive Learning. - Xinlei Chen; Haoqi Fan 001; Ross B. Girshick; Kaiming He (CoRR, 2020)

Can Temporal Information Help with Contrastive Self-Supervised Learning? - Yutong Bai; Haoqi Fan 001; Ishan Misra; Ganesh Venkatesh; Yongyi Lu; Yuyin Zhou; Qihang Yu; Vikas Chandra; Alan L. Yuille (CoRR, 2020)

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. - Christoph Feichtenhofer; Haoqi Fan 001; Bo Xiong; Ross B. Girshick; Kaiming He (CVPR, 2021)

Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories. - Xitong Yang; Haoqi Fan 001; Lorenzo Torresani; Larry S. Davis; Heng Wang (CVPR, 2021)

Multiscale Vision Transformers. - Haoqi Fan 001; Bo Xiong; Karttikeya Mangalam; Yanghao Li; Zhicheng Yan 001; Jitendra Malik; Christoph Feichtenhofer (ICCV, 2021)

Multiview Pseudo-Labeling for Semi-supervised Learning from Video. - Bo Xiong; Haoqi Fan 001; Kristen Grauman; Christoph Feichtenhofer (ICCV, 2021)

PyTorchVideo: A Deep Learning Library for Video Understanding. - Haoqi Fan 001; Tullie Murrell; Heng Wang; Kalyan Vasudev Alwala; Yanghao Li; Yilei Li; Bo Xiong; Nikhila Ravi; Meng Li 004; Haichuan Yang; Jitendra Malik; Ross B. Girshick; et al. (ACM Multimedia, 2021)

Improved Multiscale Vision Transformers for Classification and Detection. - Yanghao Li; Chao-Yuan Wu; Haoqi Fan 001; Karttikeya Mangalam; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer (CoRR, 2021)

Masked Feature Prediction for Self-Supervised Visual Pre-Training. - Chen Wei 005; Haoqi Fan 001; Saining Xie; Chao-Yuan Wu; Alan L. Yuille; Christoph Feichtenhofer (CVPR, 2022)

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. - Yanghao Li; Chao-Yuan Wu; Haoqi Fan 001; Karttikeya Mangalam; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer (CVPR, 2022)

Unified Transformer Tracker for Object Tracking. - Fan Ma; Mike Zheng Shou; Linchao Zhu; Haoqi Fan 001; Yilei Xu; Yi Yang 001; Zhicheng Yan 001 (CVPR, 2022)

Reversible Vision Transformers. - Karttikeya Mangalam; Haoqi Fan 001; Yanghao Li; Chao-Yuan Wu; Bo Xiong; Christoph Feichtenhofer; Jitendra Malik (CVPR, 2022)

On the Importance of Asymmetry for Siamese Representation Learning. - Xiao Wang; Haoqi Fan 001; Yuandong Tian; Daisuke Kihara; Xinlei Chen (CVPR, 2022)

MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. - Chao-Yuan Wu; Yanghao Li; Karttikeya Mangalam; Haoqi Fan 001; Bo Xiong; Jitendra Malik; Christoph Feichtenhofer (CVPR, 2022)

Masked Autoencoders As Spatiotemporal Learners. - Christoph Feichtenhofer; Haoqi Fan 001; Yanghao Li; Kaiming He (NeurIPS, 2022)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention During Vision Transformer Inference. - Haoran You; Yunyang Xiong; Xiaoliang Dai; Bichen Wu; Peizhao Zhang; Haoqi Fan 001; Peter Vajda; Yingyan Lin (CoRR, 2022)

Scaling Language-Image Pre-Training via Masking. - Yanghao Li; Haoqi Fan 001; Ronghang Hu; Christoph Feichtenhofer; Kaiming He (CVPR, 2023)

Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference. - Haoran You; Yunyang Xiong; Xiaoliang Dai; Bichen Wu; Peizhao Zhang; Haoqi Fan 001; Peter Vajda; Yingyan Celine Lin (CVPR, 2023)

Diffusion Models as Masked Autoencoders. - Chen Wei 005; Karttikeya Mangalam; Po-Yao Huang 001; Yanghao Li; Haoqi Fan 001; Hu Xu 001; Huiyu Wang; Cihang Xie; Alan L. Yuille; Christoph Feichtenhofer (ICCV, 2023)

The effectiveness of MAE pre-pretraining for billion-scale pretraining. - Mannat Singh; Quentin Duval; Kalyan Vasudev Alwala; Haoqi Fan 001; Vaibhav Aggarwal; Aaron Adcock; Armand Joulin; Piotr Dollár; Christoph Feichtenhofer; Ross B. Girshick; Rohit Girdhar; Ishan Misra (ICCV, 2023)

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles. - Chaitanya Ryali; Yuan-Ting Hu; Daniel Bolya; Chen Wei 005; Haoqi Fan 001; Po-Yao Huang 001; Vaibhav Aggarwal; Arkabandhu Chowdhury; Omid Poursaeed; Judy Hoffman; Jitendra Malik; Yanghao Li; et al. (ICML, 2023)

MAViL: Masked Audio-Video Learners. - Po-Yao Huang 001; Vasu Sharma; Hu Xu 001; Chaitanya Ryali; Haoqi Fan 001; Yanghao Li; Shang-Wen Li 001; Gargi Ghosh; Jitendra Malik; Christoph Feichtenhofer (NeurIPS, 2023)

Classification Done Right for Vision-Language Pre-Training. - Zilong Huang; Qinghao Ye; Bingyi Kang; Jiashi Feng; Haoqi Fan 001 (NeurIPS, 2024)

Causal Diffusion Transformers for Generative Modeling. - Chaorui Deng; Deyao Zhu; Kunchang Li; Shi Guang; Haoqi Fan 001 (CoRR, 2024)

LLaVA-Critic: Learning to Evaluate Multimodal Models. - Tianyi Xiong; Xiyao Wang; Dong Guo; Qinghao Ye; Haoqi Fan 001; Quanquan Gu; Heng Huang; Chunyuan Li (CVPR, 2025)

Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning. - Qinghao Ye; Xianhan Zeng; Fu Li; Chunyuan Li; Haoqi Fan 001 (ICLR, 2025)

Seed1.5-VL Technical Report. - Dong Guo; Faming Wu; Feida Zhu 005; Fuxing Leng; Guang Shi; Haobin Chen; Haoqi Fan 001; Jian Wang; Jianyu Jiang; Jiawei Wang; Jingji Chen; Jingjia Huang; et al. (CoRR, 2025)

Emerging Properties in Unified Multimodal Pretraining. - Chaorui Deng; Deyao Zhu; Kunchang Li; Chenhui Gou; Feng Li; Zeyu Wang; Shu Zhong; Weihao Yu 007; Xiaonan Nie; Ziang Song; Shi Guang; Haoqi Fan 001 (CoRR, 2025)