Guozhu Peng

Orcid: 0000-0002-1001-8744

According to our database1, Guozhu Peng authored at least 13 papers between 2018 and 2022.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Dual Learning for Facial Action Unit Detection Under Nonfull Annotation.
IEEE Trans. Cybern., 2022

2021
Capturing Emotion Distribution for Multimedia Emotion Tagging.
IEEE Trans. Affect. Comput., 2021

Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition.
CoRR, 2021

Hand Image Understanding via Deep Multi-Task Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Capturing Joint Label Distribution for Multi-Label Classification Through Adversarial Learning.
IEEE Trans. Knowl. Data Eng., 2020

Exploring Domain Knowledge for Facial Expression-Assisted Action Unit Activation Recognition.
IEEE Trans. Affect. Comput., 2020

2019
Weakly Supervised Dual Learning for Facial Action Unit Recognition.
IEEE Trans. Multim., 2019

Capturing Feature and Label Relations Simultaneously for Multiple Facial Action Unit Recognition.
IEEE Trans. Affect. Comput., 2019

Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dual Semi-Supervised Learning for Facial Action Unit Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Weakly Supervised Facial Action Unit Recognition With Domain Knowledge.
IEEE Trans. Cybern., 2018

Facial Action Unit Recognition Augmented by Their Dependencies.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Weakly Supervised Facial Action Unit Recognition Through Adversarial Training.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018


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