I am currently a PhD student in the School of Engineering at the HKUST, advised by Prof. DAN XU. My research interest is about talking head generation and image generation.
I received my master's Degree in 2021 at Sun Yat-sen University, where I was advised by Prof. Wei-Shi Zheng and researched in video understanding. Before SYSU, I have completed my B.E. supervised by Prof. Sheng Bi at the South China University of Technology where I was working on the SLAM
of mobile robot.
I am currently seeking a postdoctoral position starting in the second half of 2025. If you have any opportunities that align with my expertise, please feel free to reach out to me via email. :)
Education
- 08/2021 ~ Present: PhD Student, Department of Computer Science & Engineering, Hong Kong University of Science and Technology
- 09/2018 ~ 07/2021: Computer Science and Technology, Sun Yat-sen University
- 09/2014 ~ 07/2018: Computer Science and Technology, South China University of Technology
Selected Publications * Equal Contribution, # corresponding author.
Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning.
Jia-Run Du, Jia-Chang Feng, Kun-Yu Lin, Fa-Ting Hong,Xiao-Ming Wu, Zhongang Qi, Ying Shan, Wei-Shi Zheng
TCSVT, 2024.
[
arXiv]
DaGAN++: Depth-Aware Generative Adversarial Network for Talking Head Video Generation.
Fa-Ting Hong, Li Shen, Dan Xu
TPAMI
[
arXiv]
Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation.
Fa-Ting Hong, Dan Xu
ICCV 2023.
[
Project]
[
arXiv]
[
Code]
Learning Relation Models to Detect Important People in Still Images.
Yu-Kun Qiu, Fa-Ting Hong, Wei-Hong Li, and Wei-Shi Zheng
TMM 2022.
[
IEEE Xplore]
Depth-Aware Generative Adversarial Network for Talking Head Video Generation.
Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu#.
International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[
Project]
[
arXiv]
[
Code]
Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization.
Fa-Ting Hong*, Jia-Chang Feng*, Dan Xu, Ying Shan and Wei-Shi Zheng#.
ACM International Conference on Multimedia (ACM MM), 2021.
[
Project]
[
arXiv]
[
Code]
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection.
Jia-Chang Feng, Fa-Ting Hong and Wei-Shi Zheng#.
International Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[
arXiv]
[
Code]
[
Project]
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos.
Ling-An Zeng, Fa-Ting Hong, Wei-Shi Zheng#, Qi-Zhi Yu, Wei Zeng, Yao-Wei Wang, and Jian-Huang Lai.
ACM International Conference on Multimedia (ACM MM), 2020.
[
arXiv]
[
Code]
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection.
Fa-Ting Hong, Xuanteng Huang, Wei-Hong Li, Wei-Shi Zheng#.
European Conference on Computer Vision (ECCV), 2020.
[
arXiv]
[
ECVA]
[
Code]
[
Supplementary Material]
[
Project]
Learning to Detect Important People in Unlabelled Images for Semi-supervised Important People Detection.
Fa-Ting Hong*, Wei-Hong Li*, Wei-Shi Zheng#.
International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
[
arXiv]
[
CVF]
[
Code]
Learning to Learn Relation for Important People Detection in Still Images.
Wei-Hong Li*, Fa-Ting Hong*, Wei-Shi Zheng#.
International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
[
arXiv]
[
CVF]
[
Supplementary Material]
[
Code]
▶ Click for More Papers
Optimization of Robot Path Planning Parameters Based on Genetic Algorithm.
Liang, Y., Hong, F., Lin, Q., Bi, S.#, & Feng, L..
IEEE International Conference on Real-time Computing and Robotics, 2017.
[
paper][
Project]
A Global Localization System for Mobile Robot Using LIDAR Sensor.
Liqian Feng; Sheng Bi#; Min Dong; Fating Hong; Yuhong Liang; Qinjie Lin; Yunda Liu.
IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), 2017.
[
paper]
Indoor mapping using gmapping on embedded system.
Qinjie Lin; Zhaowu Ke; Sheng Bi#; Sirui Xu; Yuhong Liang; Fating Hong; Liqian Feng.
IEEE International Conference on Robotics and Biomimetics (ROBIO), 2017.
[
paper]