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Yanghao Li I am an AI Researcher at Facebook AI Research (FAIR), where I work on computer vision and deep learning. I graduated with B.S. and M.S. degrees in Computer Science from Peking University in 2015 and 2018. Email  /  Google Scholar  /  Github Publications 2023 Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles 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* International Conference on Machine Learning (ICML), 2023 (Oral) Paper / Code Scaling Language-Image Pre-training via Masking Yanghao Li*, Haoqi Fan*, Ronghang Hu*, Christoph Feichtenhofer†, Kaiming He† Computer Vision and Pattern Recognition (CVPR), 2023 Paper / Code 2022 Masked Autoencoders As Spatiotemporal Learners Christoph Feichtenhofer*, Haoqi Fan*, Yanghao Li, Kaiming He Conference on Neural Information Processing Systems (NeurIPS), 2022 Paper / Code Exploring Plain Vision Transformer Backbones for Object Detection Yanghao Li, Hanzi Mao, Ross Girshick*, Kaiming He* European Conference on Computer Vision (ECCV), 2022 Paper / Code MViTv2: Improved Multiscale Vision Transformers for Classification and Detection Yanghao Li*, Chao-Yuan Wu*, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer* Computer Vision and Pattern Recognition (CVPR), 2022 Paper / Code Masked Autoencoders are Scalable Vision Learners Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross Girshick Computer Vision and Pattern Recognition (CVPR), 2022 (Oral). Best Paper Nominee Paper / Code MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition Chao-Yuan Wu*, Yanghao Li*, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer* Computer Vision and Pattern Recognition (CVPR), 2022 (Oral) Paper Reversible Vision Tranformers Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik Computer Vision and Pattern Recognition (CVPR), 2022 (Oral). Paper / Code Ego4d: Around the world in 3,000 hours of egocentric video Kristen Grauman et al. Computer Vision and Pattern Recognition (CVPR), 2022 (Oral). Best Paper Nominee Paper / Website 2021 Benchmarking Detection Transfer Learning with Vision Transformers Yanghao Li, Saining Xie, Xinlei Chen, Piotr Dollár, Kaiming He, Ross Girshick Tech report, 2021 Paper Multiscale Vision Transformers Haoqi Fan*, Bo Xiong*, Karttikeya Mangalam*, Yanghao Li*, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer* International Conference on Computer Vision (ICCV), 2021 Paper / Code Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman Computer Vision and Pattern Recognition (CVPR), 2021 Paper / Code PyTorchVideo: A Deep Learning Library for Video Understanding Haoqi Fan*, Tullie Murrell*, Heng Wang‡, Kalyan Vasudev Alwala‡, Yanghao Li‡, Yilei Li‡, Bo Xiong ‡, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross Girshick, Matt Feiszli, Aaron Adcock†, Wan-Yen Lo†, Christoph Feichtenhofer† ACM International Conference on Multimedia (ACM MM), 2021 Paper / Code / Website Previous EGO-TOPO: Environment Affordances from Egocentric Video Tushar Nagarajan, Yanghao Li, Christoph Feichtenhofer, Kristen Grauman Computer Vision and Pattern Recognition (CVPR), 2020 (Oral) Paper / Code / Website Scale-Aware Trident Networks for Object Detection Yanghao Li*, Yuntao Chen*, Naiyan Wang, Zhaoxiang Zhang International Conference on Computer Vision (ICCV), 2019 (Oral) Paper / MXNet Code / Detectron2 Code Temporal Bilinear Networks for Video Action Recognition Yanghao Li, Sijie Song, Yuqi Li, Jiaying Liu Association for the Advancement of Artificial Intelligence (AAAI), 2019 (Oral) Paper Adaptive Batch Normalization for Practical Domain Adaptation Yanghao Li, Naiyan Wang, Jianping Shi, Xiaodi Hou, and Jiaying Liu Pattern Recognition, 2018 Paper / ICLR workshop / Webpage Factorized Bilinear Models for Image Recognition Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou International Conference on Computer Vision (ICCV), 2017 Paper / Code Demystifying Neural Style Transfer Yanghao Li, Naiyan Wang, Jiaying Liu, Xiaodi Hou International Joint Conference on Artificial Intelligence (IJCAI), 2017 (Oral) Paper / Code Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks Yanghao Li, Cuiling Lan, Junliang Xing, Wenjun Zeng, Chunfeng Yuan, Jiaying Liu European Conference on Computer Vision (ECCV), 2016 Paper / Website Opensource Projects PySlowFast: video understanding codebase for state-of-the-art research Haoqi Fan, Yanghao Li, Wan-Yen Lo, Christoph Feichtenhofer PyTorchVideo: A Deep Learning Library for Video Understanding Haoqi Fan*, Tullie Murrell*, Heng Wang‡, Kalyan Vasudev Alwala‡, Yanghao Li‡, Yilei Li‡, Bo Xiong ‡, Nikhila Ravi, Meng Li, Haichuan Yang, Jitendra Malik, Ross Girshick, Matt Feiszli, Aaron Adcock†, Wan-Yen Lo†, Christoph Feichtenhofer† Paper / Post SimpleDet - A Simple and Versatile Framework for Object Detection and Instance Recognition Yuntao Chen, Chenxia Han, Yanghao Li, Zehao Huang, Yi Jiang, Naiyan Wang, Zhaoxiang Zhang Paper Last update: Apr. 2022      Template