Mengyuan Liu
Mengyuan Liu
Associate Professor, Sun Yat-sen University
Verified email at - Homepage
Cited by
Cited by
Enhanced skeleton visualization for view invariant human action recognition
M Liu, H Liu, C Chen
Pattern Recognition (PR), 2017
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
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition
H Liu, J Tu, M Liu
arXiv preprint arXiv:1705.08106, 2017
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
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
A survey on 3d skeleton-based action recognition using learning method
B Ren, M Liu, R Ding, H Liu
arXiv preprint arXiv:2002.05907, 2020
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
Depth Context: A new descriptor for human activity recognition by using sole depth sequences
M Liu, H Liu
Neurocomputing, 2016
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
CNN-based reference comparison method for classifying bare PCB defects
P Wei, C Liu, M Liu, Y Gao, H Liu
The Journal of Engineering 2018 (16), 1528-1533, 2018
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
M Liu, H Liu, C Chen
IEEE Transactions on Multimedia (T-MM), 2017
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
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 (T-IP), 2019
3D Action Recognition Using Multi-scale Energy-based Global Ternary Image
M Liu, H Liu, C Chen
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2017
Human action recognition using adaptive hierarchical depth motion maps and gabor filter
H Liu, Q He, M Liu
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017
Learning Directional Co-occurrence for Human Action Classification
H Liu, M Liu, Q Sun
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2014
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
Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos
M Liu, F Meng, C Chen, S Wu
AAAI Conference on Artificial Intelligence (AAAI), 2019
Salient pairwise spatio-temporal interest points for real-time activity recognition
M Liu, H Liu, Q Sun, T Zhang, R Ding
CAAI Transactions on Intelligence Technology (CAAI-TIT), 2016
Fusing shape and motion matrices for view invariant action recognition using 3D skeletons
M Liu, Q He, H Liu
IEEE International Conference on Image Processing (ICIP), 2017
The system can't perform the operation now. Try again later.
Articles 1–20