Shuai Tan

Ph.D Candidate Shanghai Jiao Tong University Sichuan University tanshuai0219@sjtu.edu.cn tanshuai0219@outlook.com Github    Scholar

About me

I am currently pursuing the Ph.D degree in Computer Science and Engineering at Shanghai Jiao Tong University (SJTU). I received my bachelor degree in College of Software Engineering at Sichuan University (SCU) in 2022.

My research interests include deep learning and its applications on audio-visual learning, image/video generation, and virtual human creations.

News

• [2024-02] One paper accepted to CVPR 2024.

• [2024-02] One paper accepted to TVCG 2024.

• [2023-12] Two papers accepted to AAAI 2024.

• [2023-07] One paper accepted to ICCV 2023.

• [2023-05] One paper accepted to KBS 2023.

• [2023-05] One paper accepted to IJNS 2023.

• [2023-02] One paper accepted to TVCG 2023.

• [2021-06] One paper accepted to MICCAI 2021.

Publications

*Equal contribition, †Corresponding author

EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis Shuai Tan, Bin Ji, Mengxiao Bi, Ye Pan Under Review PDF   Project   Code

FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization Shuai Tan, Bin Ji, Ye Pan IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR) 2024. PDF

Expressive Talking Avatars Ye Pan, Shuai Tan, Shengran Cheng, Qunfen Lin, Zijiao Zeng, Kenny Mitchell IEEE Transactions on Visualization and Computer Graphics (TVCG) 2024. PDF

Say Anything with Any Style Shuai Tan, Bin Ji, Yu Ding, Ye Pan AAAI Conference on Artificial Intelligence (AAAI) 2024. PDF   Code

Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style Shuai Tan, Bin Ji, Ye Pan AAAI Conference on Artificial Intelligence (AAAI) 2024. PDF   Code

EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation Shuai Tan, Bin Ji, Ye Pan International Conference on Computer Vision (ICCV) 2023. PDF

Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation Yuang Shi, Chen Zu, Pinli Yang, Shuai Tan, Hongping Ren, Xi Wu, Jiliu Zhou, Yan Wang Knowledge-Based Systems (KBS) 2023. PDF

A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction Lu Wen, Jianghong Xiao, Shuai Tan, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang International Journal of Neural Systems (IJNS) 2023. PDF

Emotional Voice Puppetry Ye Pan, Ruisi Zhang, Shengran Cheng, Shuai Tan, Yu Ding, Kenny Mitchell, Xubo Yang IEEE Transactions on Visualization and Computer Graphics (TVCG) 2023. PDF

Incorporating isodose lines and gradient information via multi-task learning for dose prediction in radiotherapy Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang Medical Image Computing and Computer Assisted Intervention (MICCAI) 2021. PDF   Code