Chengwu Liang

Orcid: 0000-0001-6291-5212

According to our database1, Chengwu Liang authored at least 16 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense.
Pattern Recognit., January, 2024

2023
Dynamic Gesture Recognition Based on 3D Central Difference Separable Residual LSTM Coordinate Attention Networks.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2021
Auto-encoder based structured dictionary learning for visual classification.
Neurocomputing, 2021

2020
Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition.
Sensors, 2020

Multi-Modal Human Action Recognition With Sub-Action Exploiting and Class-Privacy Preserved Collaborative Representation Learning.
IEEE Access, 2020

2019
Exploring Inter-Instance Relationships within the Query Set for Robust Image Set Matching.
Sensors, 2019

2018
3D Human Action Recognition Using a Single Depth Feature and Locality-Constrained Affine Subspace Coding.
IEEE Trans. Circuits Syst. Video Technol., 2018

Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration?
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.
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.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Heterogeneous Features Fusion with Collaborative Representation Learning for 3D Action Recognition.
Proceedings of the 19th IEEE International Symposium on Multimedia, 2017

2016
Improving Action Recognition Using Collaborative Representation of Local Depth Map Feature.
IEEE Signal Process. Lett., 2016

3D Action Recognition Using Depth-Based Feature and Locality-Constrained Affine Subspace Coding.
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.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015
Spatio-Temporal Pyramid Model based on depth maps for action recognition.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015

Action recognition using multi-layer Depth Motion maps and Sparse Dictionary Learning.
Proceedings of the 17th IEEE International Workshop on Multimedia Signal Processing, 2015


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