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I'm a third-year PhD student of the joint program between Shanghai Jiao Tong University and Eastern Institute of Technology, Ningbo, supervised by Wenjun Zeng and Xiaokang Yang. I also work closely with Xin Jin and Yichao Yan. Prior to that, I received my B.S. in Computer Science from Nanjing University in 2018, and the M.S. in Computer Science from Shanghai Jiao Tong University in 2021, supervised by Cewu Lu. I was also fortunate to work with Wenjun Zeng and Cuiling Lan as a research intern in Intelligent Multimedia Group at Microsoft Research Asia. Email / Google Scholar / Github / Twitter / 知乎 |
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I have broad research interests on human-centric vision, including modeling human motion, human-centric interactions and embodied intelligence. |
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* denotes equal contribution |
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Liang Xu, Shaoyang Hua, Zili Lin, Yifan Liu, Feipeng Ma, Yichao Yan, Xin Jin, Xiaokang Yang, Wenjun Zeng arXiv, 2024 [Paper] [Code] We tackle the problem of how to build and benchmark a large motion model with video action datasets and disentangled rule-based annotations. |
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Xintao Lv*, Liang Xu*, Yichao Yan, Xin Jin, Congsheng Xu, Shuwen Wu, Yifan Liu, Lincheng Li, Mengxiao Bi, Wenjun Zeng, Xiaokang Yang ECCV, 2024 [Paper] [Project] [Code] We build a large-scale dataset of human interacting with multiple objects with 3.3K HOI sequences and 4.08M frames. |
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Liang Xu, Xintao Lv, Yichao Yan, Xin Jin, Shuwen Wu, Congsheng Xu, Yifan Liu, Yizhou Zhou, Fengyun Rao, Xingdong Sheng, Yunhui Liu, Wenjun Zeng, Xiaokang Yang CVPR, 2024 [Paper] [Project] [Code] We propose Inter-X, a large-scale dataset of human-human interactions with 11K interaction sequences and more than 8.1M frames. |
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Liang Xu, Yizhou Zhou, Yichao Yan, Xin Jin, Wenhan Zhu, Fengyun Rao, Xiaokang Yang, Wenjun Zeng CVPR, 2024 [Paper] [Project] [Code] We propose the first multi-setting human action-reaction synthesis benchmark to generate human reactions conditioned on given human actions. |
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Liang Xu*, Ziyang Song*, Dongliang Wang, Jing Su, Zhicheng Fang, Chenjing Ding, Weihao Gan, Yichao Yan, Xin Jin, Xiaokang Yang, Wenjun Zeng, Wei Wu ICCV, 2023 [Paper] [Project] [Code] We present a GAN-based Transformer for general action-conditioned 3D human motion generation, including single-person actions and multi-person interactive actions. |
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Liang Xu, Cuiling Lan, Wenjun Zeng, Cewu Lu TMM, 2022 [Paper] We propose a joint learning framework for mutually assisted interacted object localization and human action recognition based on skeleton data. |
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Liang Xu, Yong-Lu Li, Mingyang Chen, Yan Hao, Cewu Lu ICME, 2021 (Oral Presentation) We propose a novel and concise perspective called "predicate-aware learning network (PAL-Net)" for visual relationship recognition. |
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Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Shiyi Wang, Hao-Shu Fang, Ze Ma, Mingyang Chen, Cewu Lu CVPR, 2020 TPAMI, 2023 [Paper] [Code] [Project] We build a large-scale knowledge base PaStaNet, which contains 7M+ PaSta annotations. We infer PaStas first and then reason out the activities based on part-level semantics |
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Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu CVPR, 2019 TPAMI, 2022 [Paper] [Code] We explore Interactiveness Knowledge which indicates whether human and object interact with each other or not for Human-Object Interaction (HOI) Detection. |
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Shanghai Jiao Tong University & Eastern Institute of Technology, Ningbo, Shanghai/Ningbo, China
WeChat, Tencent Inc., Beijing, China
SenseTime Technology Development Co., Ltd., Shanghai, China
Microsoft Research Asia, Beijing, China
Shanghai Jiao Tong University, Shanghai, China
Nanjing University, Nanjing, China
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