Maosen Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Spatial Temporal

Motion Prediction

Refractive Index

Top Venues

IEEE Trans. Multim.

Publications

Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Xuehao Gao, Yang Yang, Yimeng Zhang, Maosen Li, Jin-Gang Yu, Shaoyi Du
Efficient Spatio-Temporal Contrastive Learning for Skeleton-Based 3-D Action Recognition. IEEE Trans. Multim. 25 (2023)
Maosen Li, Xurong Li, Kun Yu, Cheng Deng, Heng Huang, Feng Mao, Hui Xue, Minghao Li
Spatio-Temporal Catcher: A Self-Supervised Transformer for Deepfake Video Detection. ACM Multimedia (2023)
Tengjiao Li, Maosen Li, Yanhua Yang, Cheng Deng
Frequency domain regularization for iterative adversarial attacks. Pattern Recognit. 134 (2023)
Zijing Zhang, Huihui Ye, Maosen Li, Huafeng Liu, Berkin Bilgic
Liver-Buda-Sage: Simultaneous Whole Liver T2 and T*2 Mapping in one Breath-Hold. ISBI (2022)
Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang
Learning Universal Adversarial Perturbation by Adversarial Example. AAAI (2022)
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian
Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Chuanxin Teng, Rui Min, Jie Zheng, Shijie Deng, Maosen Li, Li Hou, Libo Yuan
Intensity-Modulated Polymer Optical Fiber-Based Refractive Index Sensor: A Review. Sensors 22 (1) (2022)
Fei Ye, Chaoqin Huang, Jinkun Cao, Maosen Li, Ya Zhang, Cewu Lu
Attribute Restoration Framework for Anomaly Detection. IEEE Trans. Multim. 24 (2022)
Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CoRR (2022)
Genjia Liu, Maosen Li, Siheng Chen
Multiscale Graph Scattering Transform. EUSIPCO (2022)
Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CVPR (2022)
Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. ECCV (6) (2022)
Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. CoRR (2022)
Kun Wei, Cheng Deng, Xu Yang, Maosen Li
Incremental Embedding Learning via Zero-Shot Translation. AAAI (2021)
Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR (2021)
Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. AAAI (2021)
Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang
Decoupled Variational Embedding for Signed Directed Networks. ACM Trans. Web 15 (1) (2021)
Maosen Li, Siheng Chen, Zihui Liu, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang
Skeleton Graph Scattering Networks for 3D Skeleton-based Human Motion Prediction. ICCVW (2021)
Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. IEEE Trans. Image Process. 30 (2021)
Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction. CoRR (2021)
Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang
Graph Cross Networks with Vertex Infomax Pooling. NeurIPS (2020)
Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction. CVPR (2020)
Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang
Graph Cross Networks with Vertex Infomax Pooling. CoRR (2020)
Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, Qi Tian
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction. CoRR (2020)
Siheng Chen, Maosen Li, Ya Zhang
Sampling and Recovery of Graph Signals based on Graph Neural Networks. CoRR (2020)
Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. CoRR (2020)
Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang
Decoupled Variational Embedding for Signed Directed Networks. CoRR (2020)
Kun Wei, Cheng Deng, Xu Yang, Maosen Li
Incremental Embedding Learning via Zero-Shot Translation. CoRR (2020)
Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang
Towards Transferable Targeted Attack. CVPR (2020)
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR (2019)
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction. CoRR (2019)
Chaoqing Huang, Jinkun Cao, Fei Ye, Maosen Li, Ya Zhang, Cewu Lu
Inverse-Transform AutoEncoder for Anomaly Detection. CoRR (2019)
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR (2019)
Yu Li, Maosen Li, Ya Zhang, Ying Wang
Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks. ICME (2018)