Sledovat
Mengyuan Liu
Mengyuan Liu
Assistant Professor, Peking University
E-mailová adresa ověřena na: pku.edu.cn - Domovská stránka
Název
Citace
Citace
Rok
Enhanced skeleton visualization for view invariant human action recognition
M Liu, H Liu, C Chen
Pattern Recognition (PR), 2017
8932017
Recognizing Human Actions as the Evolution of Pose Estimation Maps
M Liu, J Yuan
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018
3772018
Exploiting Temporal Contexts with Strided Transformer for 3D Human Pose Estimation
W Li, H Liu, R Ding, M Liu, P Wang, W Yang
IEEE Transactions on Multimedia (TMM), 2022
2542022
A Survey on 3D Skeleton-Based Action Recognition Using Learning Method
B Ren, M Liu, R Ding, H Liu
Cyborg and Bionic Systems (CBS), 2024
1952024
Two-stream 3d convolutional neural network for skeleton-based action recognition
H Liu, J Tu, M Liu
arXiv preprint arXiv:1705.08106, 2017
1952017
Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-Supervised Action Recognition
T Guo, H Liu, Z Chen, M Liu, T Wang, R Ding
AAAI Conference on Artificial Intelligence (AAAI), 2022
1662022
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
Q Zhao, C Zheng, M Liu, P Wang, C Chen
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023
1302023
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition
J Weng, M Liu, X Jiang, J Yuan
European Conference on Computer Vision (ECCV), 2018
862018
CNN‐Based Reference Comparison Method for Classifying Bare PCB Defects
P Wei, C Liu, M Liu, Y Gao, H Liu
Journal of Engineering (JoE), 2018
842018
3D Action Recognition Using Multi-temporal Depth Motion Maps and Fisher Vector
C Chen, M Liu, B Zhang, J Han, J Jiang, H Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2016
842016
Temporal Decoupling Graph Convolutional Network for Skeleton-Based Gesture Recognition
J Liu, X Wang, C Wang, Y Gao, M Liu
IEEE Transactions on Multimedia (TMM), 2024
822024
Consistency-Based Active Learning for Object Detection
W Yu, S Zhu, T Yang, C Chen, M Liu
https://arxiv.org/abs/2103.10374v2, 2021
672021
Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features
C Chen, B Zhang, Z Hou, J Jiang, M Liu, Y Yang
Multimedia Tools and Applications (MTA), 2017
652017
Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition
C Chen, M Liu, H Liu, B Zhang, J Han, N Kehtarnavaz
IEEE Access, 2017
642017
Depth Context: A new descriptor for human activity recognition by using sole depth sequences
M Liu, H Liu
Neurocomputing, 2016
622016
Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition
F Meng, H Liu, Y Liang, J Tu, M Liu
IEEE Transactions on Image Processing (TIP), 2019
612019
Skeleton-Based Human Action Recognition Using Spatial Temporal 3D Convolutional Neural Networks
J Tu, M Liu, H Liu
IEEE International conference on multimedia and expo (ICME), 2018
612018
Spatial-Temporal Data Augmentation Based on LSTM Autoencoder Network for Skeleton-Based Human Action Recognition
J Tu, H Liu, F Meng, M Liu, R Ding
IEEE International Conference on Image Processing (ICIP), 2018
542018
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
M Liu, H Liu, C Chen
IEEE Transactions on Multimedia (TMM), 2018
482018
Part Aware Contrastive Learning for Self-Supervised Action Recognition
Y Hua, W Wu, C Zheng, A Lu, M Liu, C Chen, S Wu
International Joint Conference on Artificial Intelligence (IJCAI), 2023
432023
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Články 1–20