Chengwu Liang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Dictionary Learning

Temporal Segmentation

Action Recognition

Top Venues

Publications

Chengwu Liang, Jie Yang, Ruolin Du, Wei Hu, Ning Hou
Temporal-Channel Attention and Convolution Fusion for Skeleton-Based Human Action Recognition. IEEE Access 12 (2024)
Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. Pattern Recognit. 145 (2024)
Jie Chen, Yun Tie, Lin Qi, Chengwu Liang
Dynamic Gesture Recognition Based on 3D Central Difference Separable Residual LSTM Coordinate Attention Networks. PRCV (8) (2023)
Deyin Liu, Chengwu Liang, Shaokang Chen, Yun Tie, Lin Qi
Auto-encoder based structured dictionary learning for visual classification. Neurocomputing 438 (2021)
Qiang Liu, Enqing Chen, Lei Gao, Chengwu Liang, Hao Liu
Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition. Sensors 20 (17) (2020)
Chengwu Liang, Deyin Liu, Lin Qi, Ling Guan
Multi-Modal Human Action Recognition With Sub-Action Exploiting and Class-Privacy Preserved Collaborative Representation Learning. IEEE Access 8 (2020)
Deyin Liu, Chengwu Liang, Zhiming Zhang, Lin Qi, Brian C. Lovell
Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching. Sensors 19 (22) (2019)
Lin Qi, Yun Tie, Chengwu Liang, Zizhe Wang
Single Sample Per Person Face Recognition Based on Sparse Representation with Extended Generic Set. CyberC (2018)
Ling Guan, Lei Gao, Nour El-Din El-Madany, Chengwu Liang
Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration? MIPR (2018)
Chengwu Liang, Lin Qi, Yifeng He, Ling Guan
3D Human Action Recognition Using a Single Depth Feature and Locality-Constrained Affine Subspace Coding. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Chengwu Liang, Lin Qi, Ling Guan
Motion energy guided multi-scale heterogeneous features for 3D action recognition. VCIP (2017)
Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan
Heterogeneous Features Fusion with Collaborative Representation Learning for 3D Action Recognition. ISM (2017)
Chengwu Liang, Lin Qi, Enqing Chen, Ling Guan
Depth-based action recognition using multiscale sub-actions depth motion maps and local auto-correlation of space-time gradients. BTAS (2016)
Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan
Improving Action Recognition Using Collaborative Representation of Local Depth Map Feature. IEEE Signal Process. Lett. 23 (9) (2016)
Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan
3D Action Recognition Using Depth-Based Feature and Locality-Constrained Affine Subspace Coding. ISM (2016)
Haining Xu, Enqing Chen, Chengwu Liang, Lin Qi, Ling Guan
Spatio-Temporal Pyramid Model based on depth maps for action recognition. MMSP (2015)
Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan
Action recognition using multi-layer Depth Motion maps and Sparse Dictionary Learning. MMSP (2015)