Yang Liu

Orcid: 0000-0003-2157-0080

Affiliations:
  • University of Oulu, Center for Machine Vision and Signal Analysis, Finland
  • South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (PhD 2021)


According to our database1, Yang Liu authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects.
Multim. Syst., April, 2024

Uncertain Facial Expression Recognition via Multi-Task Assisted Correction.
IEEE Trans. Multim., 2024

2023
Graph-Based Facial Affect Analysis: A Review.
IEEE Trans. Affect. Comput., 2023

Benchmarking Deep Facial Expression Recognition: An Extensive Protocol with Balanced Dataset in the Wild.
CoRR, 2023

Exploring Effective Knowledge Distillation for Tiny Object Detection.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Deep Learning for Micro-Expression Recognition: A Survey.
IEEE Trans. Affect. Comput., 2022

Exploring Interactions and Regulations in Collaborative Learning: An Interdisciplinary Multimodal Dataset.
CoRR, 2022

Uncertain Label Correction via Auxiliary Action Unit Graphs for Facial Expression Recognition.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Facial expression recognition using frequency multiplication network with uniform rectangular features.
J. Vis. Commun. Image Represent., 2021

SG-DSN: A Semantic Graph-based Dual-Stream Network for facial expression recognition.
Neurocomputing, 2021

Deep Learning based Micro-expression Recognition: A Survey.
CoRR, 2021

Graph-based Facial Affect Analysis: A Review of Methods, Applications and Challenges.
CoRR, 2021

2020
Facial Expression Recognition via Deep Action Units Graph Network Based on Psychological Mechanism.
IEEE Trans. Cogn. Dev. Syst., 2020

Learning the Connectivity: Situational Graph Convolution Network for Facial Expression Recognition.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Facial Expression Recognition Using Spatial-Temporal Semantic Graph Network.
Proceedings of the IEEE International Conference on Image Processing, 2020


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