Следене
Maosen Li (李茂森)
Maosen Li (李茂森)
Huawei Technologies Co., Ltd.
Потвърден имейл адрес: sjtu.edu.cn
Заглавие
Позовавания
Позовавания
Година
Actional-structural graph convolutional networks for skeleton-based action recognition
M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
13422019
Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction
M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3942020
Symbiotic graph neural networks for 3d skeleton-based human action recognition and motion prediction
M Li, S Chen, X Chen, Y Zhang, Y Wang, Q Tian
IEEE transactions on pattern analysis and machine intelligence 44 (6), 3316-3333, 2021
2502021
Attribute restoration framework for anomaly detection
F Ye, C Huang, J Cao, M Li, Y Zhang, C Lu
IEEE Transactions on Multimedia 24, 116-127, 2020
211*2020
Groupnet: Multiscale hypergraph neural networks for trajectory prediction with relational reasoning
C Xu, M Li, Z Ni, Y Zhang, S Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1472022
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
M Li, S Chen, Y Zhao, Y Zhang, Y Wang, Q Tian
arXiv preprint arXiv:2108.11244 Accepted by IEEE-TIP, 2021
812021
Inverse-transform autoencoder for anomaly detection
C Huang, J Cao, F Ye, M Li, Y Zhang, C Lu
arXiv preprint arXiv:1911.10676 2 (4), 2019
672019
Graph cross networks with vertex infomax pooling
M Li, S Chen, Y Zhang, IW Tsang
NeurIPS 2020, 2020
662020
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
M Li, S Chen, Z Zhang, L Xie, Q Tian, Y Zhang
European Conference on Computer Vision, 2022
652022
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network
M Li, S Chen, Y Shen, G Liu, IW Tsang, Y Zhang
arXiv preprint arXiv:2107.00894, 2021
612021
Efficient spatio-temporal contrastive learning for skeleton-based 3-d action recognition
X Gao, Y Yang, Y Zhang, M Li, JG Yu, S Du
IEEE Transactions on Multimedia 25, 405-417, 2021
362021
Skeleton graph scattering networks for 3d skeleton-based human motion prediction
M Li, S Chen, Z Liu, Z Zhang, L Xie, Q Tian, Y Zhang
Proceedings of the IEEE/CVF international conference on computer vision, 854-864, 2021
362021
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
C Xu, S Chen, M Li, Y Zhang
AAAI 2021, 2020
202020
Sampling and recovery of graph signals based on graph neural networks
S Chen, M Li, Y Zhang
arXiv preprint arXiv:2011.01412, 2020
72020
Decoupled variational embedding for signed directed networks
X Chen, J Yao, M Li, Y Zhang, Y Wang
ACM Transactions on the Web (TWEB) 15 (1), 1-31, 2020
52020
Liver-Buda-Sage: Simultaneous Whole Liver T2 and T*2 Mapping in one Breath-Hold
Z Zhang, H Ye, M Li, H Liu, B Bilgic
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
22022
Unsupervised Local Facial Attributes Transfer Using Dual Discriminative Adversarial Networks
Y Li, M Li, Y Zhang, Y Wang
2018 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2018
12018
Multiscale Graph Scattering Transform
G Liu, M Li, S Chen
2022 30th European Signal Processing Conference (EUSIPCO), 812-816, 2022
2022
Appendix of Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction
M Li, S Chen, Z Zhang, L Xie, Q Tian, Y Zhang
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Статии 1–19