Chengwu Liang

According to our database, Chengwu Liang authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense.

Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang

Pattern Recognit., January, 2024

Temporal-Channel Attention and Convolution Fusion for Skeleton-Based Human Action Recognition.

Chengwu Liang, Jie Yang, Ruolin Du, Wei Hu, Ning Hou

IEEE Access, 2024

A Complementary Action Recognition Network based on Conv-Transformer.

Linfu Liu, Lin Qi, Yun Tie, Chengwu Liang

Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamic Gesture Recognition Using a Spatio-Temporal Adaptive Multiscale Convolutional Transformer Network.

Jie Chen, Yun Tie, Lin Qi, Chengwu Liang

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Dynamic Gesture Recognition Based on 3D Central Difference Separable Residual LSTM Coordinate Attention Networks.

Jie Chen, Yun Tie, Lin Qi, Chengwu Liang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2021

Auto-encoder based structured dictionary learning for visual classification.

Deyin Liu, Chengwu Liang, Shaokang Chen, Yun Tie, Lin Qi

Neurocomputing, 2021

2020

Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition.

Qiang Liu, Enqing Chen, Lei Gao, Chengwu Liang, Hao Liu

Sensors, 2020

Multi-Modal Human Action Recognition With Sub-Action Exploiting and Class-Privacy Preserved Collaborative Representation Learning.

Chengwu Liang, Deyin Liu, Lin Qi, Ling Guan

IEEE Access, 2020

2019

Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching.

Deyin Liu, Chengwu Liang, Zhiming Zhang, Lin Qi, Brian C. Lovell

Sensors, 2019

2018

3D Human Action Recognition Using a Single Depth Feature and Locality-Constrained Affine Subspace Coding.

Chengwu Liang, Lin Qi, Yifeng He, Ling Guan

IEEE Trans. Circuits Syst. Video Technol., 2018

Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration?

Ling Guan, Lei Gao, Nour El-Din El-Madany, Chengwu Liang

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Single Sample Per Person Face Recognition Based on Sparse Representation with Extended Generic Set.

Lin Qi, Yun Tie, Chengwu Liang, Zizhe Wang

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018

2017

Motion energy guided multi-scale heterogeneous features for 3D action recognition.

Chengwu Liang, Lin Qi, Ling Guan

Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Heterogeneous Features Fusion with Collaborative Representation Learning for 3D Action Recognition.

Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan

Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

2016

Improving Action Recognition Using Collaborative Representation of Local Depth Map Feature.

Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan

IEEE Signal Process. Lett., 2016

3D Action Recognition Using Depth-Based Feature and Locality-Constrained Affine Subspace Coding.

Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan

Proceedings of the IEEE International Symposium on Multimedia, 2016

Depth-based action recognition using multiscale sub-actions depth motion maps and local auto-correlation of space-time gradients.

Chengwu Liang, Lin Qi, Enqing Chen, Ling Guan

Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015

Spatio-Temporal Pyramid Model based on depth maps for action recognition.

Haining Xu, Enqing Chen, Chengwu Liang, Lin Qi, Ling Guan

Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Action recognition using multi-layer Depth Motion maps and Sparse Dictionary Learning.

Chengwu Liang, Enqing Chen, Lin Qi, Ling Guan

Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015