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2020 – today
- 2024
[j8]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): 4768-4782 (2024)- 2023
- [j7]Tengjiao Li, Maosen Li, Yanhua Yang, Cheng Deng:
Frequency domain regularization for iterative adversarial attacks. Pattern Recognit. 134: 109075 (2023) - [j6]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: 405-417 (2023) - [c14]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: 8707-8718 - 2022
- [j5]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): 3316-3333 (2022) - [j4]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): 81 (2022) - [j3]Fei Ye, Chaoqin Huang, Jinkun Cao, Maosen Li, Ya Zhang, Cewu Lu:
Attribute Restoration Framework for Anomaly Detection. IEEE Trans. Multim. 24: 116-127 (2022) - [c13]Maosen Li, Yanhua Yang, Kun Wei, Xu Yang, Heng Huang:
Learning Universal Adversarial Perturbation by Adversarial Example. AAAI 2022: 1350-1358 - [c12]Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen:
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CVPR 2022: 6488-6497 - [c11]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: 18-36 - [c10]Genjia Liu, Maosen Li, Siheng Chen:
Multiscale Graph Scattering Transform. EUSIPCO 2022: 812-816 - [c9]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: 1-5 - [i13]Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen:
GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. CoRR abs/2204.08770 (2022) - [i12]Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang:
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. CoRR abs/2208.00368 (2022) - 2021
- [j2]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: 7760-7775 (2021) - [j1]Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang:
Decoupled Variational Embedding for Signed Directed Networks. ACM Trans. Web 15(1): 3:1-3:31 (2021) - [c8]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. AAAI 2021: 3013-3021 - [c7]Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. AAAI 2021: 10254-10262 - [c6]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: 854-864 - [i11]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR abs/2107.00894 (2021) - [i10]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 abs/2108.11244 (2021) - 2020
- [c5]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: 211-220 - [c4]Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang:
Towards Transferable Targeted Attack. CVPR 2020: 638-646 - [c3]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. NeurIPS 2020 - [i9]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 abs/2003.08802 (2020) - [i8]Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang:
Decoupled Variational Embedding for Signed Directed Networks. CoRR abs/2008.12450 (2020) - [i7]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. CoRR abs/2010.01804 (2020) - [i6]Siheng Chen, Maosen Li, Ya Zhang:
Sampling and Recovery of Graph Signals based on Graph Neural Networks. CoRR abs/2011.01412 (2020) - [i5]Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. CoRR abs/2012.09398 (2020) - [i4]Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. CoRR abs/2012.15497 (2020)
2010 – 2019
- 2019
- [c2]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019: 3595-3603 - [i3]Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian:
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition. CoRR abs/1904.12659 (2019) - [i2]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 abs/1910.02212 (2019) - [i1]Chaoqing Huang, Jinkun Cao, Fei Ye, Maosen Li, Ya Zhang, Cewu Lu:
Inverse-Transform AutoEncoder for Anomaly Detection. CoRR abs/1911.10676 (2019) - 2018
- [c1]Yu Li, Maosen Li, Ya Zhang, Ying Wang:
Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks. ICME 2018: 1-6
Coauthor Index
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