Maosen Li (李茂森)

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i10-rodyklė	13	13

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Ya ZhangShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Siheng ChenShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Qi Tian，Chief Scientist in Artificial Intel...Huawei Technologies, Ltd.Patvirtintas el. paštas huawei.com
cewu luProfessor of Shanghai Jiao Tong UniversityPatvirtintas el. paštas cs.stanford.edu
Chaoqin HuangShanghai Jiao Tong University, National University of SingaporePatvirtintas el. paštas sjtu.edu.cn
Yangheng ZhaoShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Zijing ZhangZhejiang University, Massachusetts General Hospital, Harvard Medical SchoolPatvirtintas el. paštas zju.edu.cn
Lingxi Xie (谢凌曦)Senior Researcher, HuaweiPatvirtintas el. paštas huawei.com
Chenxin XuShanghai Jiao Tong University, National University of SingaporePatvirtintas el. paštas sjtu.edu.cn
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARPatvirtintas el. paštas cfar.a-star.edu.sg
Yanning ShenUniversity of California, IrvinePatvirtintas el. paštas uci.edu
Shaoyi DuInstitute of Artificial Intelligence and Robotics, Xi'an Jiaotong UniversityPatvirtintas el. paštas xjtu.edu.cn
Xuehao Gao (高学浩）Xi’an Jiaotong UniversityPatvirtintas el. paštas stu.xjtu.edu.cn
Xu Chen(陈旭)Alibaba GroupPatvirtintas el. paštas sjtu.edu.cn
Jiangchao YaoShanghai Jiao Tong UniversityPatvirtintas el. paštas sjtu.edu.cn
Berkin BilgicMassachusetts General Hospital, Harvard Medical SchoolPatvirtintas el. paštas mgh.harvard.edu
Huafeng LiuZhejiang UniversityPatvirtintas el. paštas zju.edu.cn
Huihui YeHangzhou Dianzi University

Stebėti

Maosen Li (李茂森)

Huawei Technologies Co., Ltd.

Patvirtintas el. paštas sjtu.edu.cn

Graph representation learning graph neural network computer vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	1342	2019
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	392	2020
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	250	2021
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	147	2022
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	81	2021
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	67	2019
Graph cross networks with vertex infomax pooling M Li, S Chen, Y Zhang, IW Tsang NeurIPS 2020, 2020	66	2020
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	65	2022
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	61	2021
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	36	2021
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	36	2021
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation C Xu, S Chen, M Li, Y Zhang AAAI 2021, 2020	20	2020
Sampling and recovery of graph signals based on graph neural networks S Chen, M Li, Y Zhang arXiv preprint arXiv:2011.01412, 2020	7	2020
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	5	2020
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	2	2022
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	1	2018
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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