Yezhi Shu

According to our database, Yezhi Shu authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

Emotion Dictionary Learning With Modality Attentions for Mixed Emotion Exploration.

Fang Liu, Pei Yang, Yezhi Shu, Fei Yan, Guanhua Zhang, Yong-Jin Liu

IEEE Trans. Affect. Comput., 2024

Emotion Recognition From Few-Channel EEG Signals by Integrating Deep Feature Aggregation and Transfer Learning.

Fang Liu, Pei Yang, Yezhi Shu, Niqi Liu, Jenny Sheng, Junwen Luo, Xiaoan Wang, Yong-Jin Liu

IEEE Trans. Affect. Comput., 2024

2023

CPED: A Chinese Positive Emotion Database for Emotion Elicitation and Analysis.

Yulin Zhang, Guozhen Zhao, Yezhi Shu, Yan Ge, Dan Zhang, Yong-Jin Liu, Xianghong Sun

IEEE Trans. Affect. Comput., 2023

Emotion Distribution Learning Based on Peripheral Physiological Signals.

Yezhi Shu, Pei Yang, Niqi Liu, Shu Zhang, Guozhen Zhao, Yong-Jin Liu

IEEE Trans. Affect. Comput., 2023

MMPosE: Movie-Induced Multi-Label Positive Emotion Classification Through EEG Signals.

Xiaobing Du, Xiaoming Deng, Hangyu Qin, Yezhi Shu, Fang Liu, Guozhen Zhao, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang

IEEE Trans. Affect. Comput., 2023

FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces.

Mengfei Xia, Yezhi Shu, Yuji Wang, Yu-Kun Lai, Qiang Li, Pengfei Wan, Zhongyuan Wang, Yong-Jin Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GAN-Based Multi-Style Photo Cartoonization.

Yezhi Shu, Ran Yi, Mengfei Xia, Zipeng Ye, Wang Zhao, Yang Chen, Yu-Kun Lai, Yong-Jin Liu

IEEE Trans. Vis. Comput. Graph., 2022

Animating Portrait Line Drawings from a Single Face Photo and a Speech Signal.

Ran Yi, Zipeng Ye, Ruoyu Fan, Yezhi Shu, Yong-Jin Liu, Yu-Kun Lai, Paul L. Rosin

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

2021

Cartoon Your Life.

Yezhi Shu, Ran Yi, Yong-Jin Liu

Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

2020

Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet.

Wang Zhao, Shaohui Liu, Yezhi Shu, Yong-Jin Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation.

Jichao Zhang, Yezhi Shu, Songhua Xu, Gongze Cao, Fan Zhong, Xueying Qin

CoRR, 2018

Sparsely Grouped Multi-Task Generative Adversarial Networks for Facial Attribute Manipulation.

Jichao Zhang, Yezhi Shu, Songhua Xu, Gongze Cao, Fan Zhong, Meng Liu, Xueying Qin

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018