Fating Hong/洪发挺
fatinghonggmail.com; fhongacconnect.ust.hk
Biography
Hi, 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.
Introduction
Hey, I am a 4th-year Ph.D. student in Computer Science at the Hong Kong University of Science and Technology (HKUST). My primary research interests lie in video generation, digital human and characters, and audio-visual learning. My work aims to enhance the capabilities of deep learning models to generate high-fidelity and temporally coherent digital human animation videos. By contributing to advancements in these fields, I hope to make a significant impact on applications such as teleconferencing, virtual reality, filmmaking, and the gaming industry.
Resume
Download HereI'm seeking full-time positions/postdoc/intern starting in 2025 :)
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
Research interests
- Audio-Driven Human Video Generation
- Expression-Driven Human Video Generation
- Human Animation Video Generation
- Human Video Editing
News
- (Feb 2025): 4 papers accepted by CVPR 2025, stay tuned (Almost here)!
- (Dec 2024): Our paper AnyTalk is accepted by AAAI 2025, stay tuned!
- (Oct 2024): Start my internship at Hunyuan, Tencent.
- (Sep 2024): Our temporal action localization work is accepted by TCSVT (Finally).
- (May 2024): Start my internship at Adobe, U.S.
Preprints
Identity-Preserving Video Dubbing Using Motion Warping
Runzhen Liu, Qinjie Lin, Yunfei Liu, Lijian Lin, Ye Zhu, Yu Li, Chuhua Xian Fa-Ting Hong
Under Review 2024
Selected Publications
Synergizing Motion and Appearance: Multi-Scale Compensatory Codebooks for Talking Head Video Generation
Shuling Zhao, Fa-Ting Hong, Xianshui Huang, Dan Xu
CVPR 2025
Code |
ArXiv |
Project Page
Free-viewpoint Human Animation with Pose-correlated Reference Selection
Fa-Ting Hong, Zhan Xu, Haiyang Liu, Qinjie Lin, Luchuan Song, Zhixin Shu, Yang Zhou, Duygu Ceylan, Dan Xu
CVPR 2025
Code |
ArXiv |
Project Page
Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head video Generation
Fa-Ting Hong, Dan Xu
ICCV 2023
Code |
Paper |
Project Page
Depth-Aware Generative Adversarial Network for Talking Head Video Generation
Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu
CVPR 2022
Code |
Paper |
Project Page
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 MM 2022
MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng
CVPR 2021
Code |
Paper |
Project Page
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
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection
Fa-Ting Hong, Xuanteng Huang, Wei-Hong Li, Wei-Shi Zheng
ECCV 2020
Code |
Paper |
Project Page
Intern Experience
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23.06 — 05.12 (upcoming) 2025
Meta
– RL Research Gemini, Zurich
1.11 — 19.03 2024-2025
Tencent
– Hunyuan Lab
24.5 — 24.8 2024
Adobe Research
– Media Intelligence Lab, San Jose
1.9 — 1.4 2023/2024
IDEA (粤港澳大湾区数字经济研究院)
– Vistring Lab
Academic Services
- Reviewer: ICLR, CVPR, ECCV, SIGGRAPH Asia, ACMMM, TPAMI, ICCV, NeurIPS, TMM, IJCV
Resume
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