Liu, Zhenguang

26 publications

AAAI 2025 Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation Haipeng Chen, Sifan Wu, Zhigang Wang, Yifang Yin, Yingying Jiao, Yingda Lyu, Zhenguang Liu

CVPR 2025 FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning Gaojian Wang, Feng Lin, Tong Wu, Zhenguang Liu, Zhongjie Ba, Kui Ren

AAAI 2025 HVIS: A Human-like Vision and Inference System for Human Motion Prediction Kedi Lyu, Haipeng Chen, Zhenguang Liu, Yifang Yin, Yukang Lin, Yingying Jiao

CVPR 2025 Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models Zhenguang Liu, Chao Shuai, Shaojing Fan, Ziping Dong, Jinwu Hu, Zhongjie Ba, Kui Ren

AAAI 2025 MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation Guokai Sun, Yuan Zhuang, Shuo Zhang, Xiaoyu Feng, Zhenguang Liu, Liguo Zhang

AAAI 2025 Optimizing Human Pose Estimation Through Focused Human and Joint Regions Yingying Jiao, Zhigang Wang, Zhenguang Liu, Shaojing Fan, Sifan Wu, Zheqi Wu, Zhuoyue Xu

AAAI 2025 PhyCamo: A Robust Physical Camouflage via Contrastive Learning for Multi-View Physical Adversarial Attack Ximin Zhang, Jinyin Chen, Haibin Zheng, Zhenguang Liu

AAAI 2025 SpatioTemporal Learning for Human Pose Estimation in Sparsely-Labeled Videos Yingying Jiao, Zhigang Wang, Sifan Wu, Shaojing Fan, Zhenguang Liu, Zhuoyue Xu, Zheqi Wu

AAAI 2024 Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren

AAAI 2024 Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang

CVPR 2024 Rethinking Human Motion Prediction with Symplectic Integral Haipeng Chen, Kedi Lyu, Zhenguang Liu, Yifang Yin, Xun Yang, Yingda Lyu

IJCAI 2023 Action Recognition with Multi-Stream Motion Modeling and Mutual Information Maximization Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren

ICCV 2023 CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training Yifang Yin, Wenmiao Hu, Zhenguang Liu, Guanfeng Wang, Shili Xiang, Roger Zimmermann

NeurIPS 2023 LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann

IJCAI 2022 Copy Motion from One to Another: Fake Motion Video Generation Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng

ECCV 2022 Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

CVPR 2022 Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang

AAAI 2021 A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann

AAAI 2021 Aggregated Multi-GANs for Controlled 3D Human Motion Prediction Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji

CVPR 2021 Deep Dual Consecutive Network for Human Pose Estimation Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang

AAAI 2021 Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann

ICCV 2021 Motion Prediction Using Trajectory Cues Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang

IJCAI 2021 Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji

AAAI 2020 Interactive Rare-Category-of-Interest Mining from Large Datasets Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu

IJCAI 2020 Smart Contract Vulnerability Detection Using Graph Neural Network Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He

AAAI 2018 Multi-Modal Multi-Task Learning for Automatic Dietary Assessment Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann