Jinbo Xing

I am currently a second-year Ph.D student in the CSE Department, CUHK, supervised by Prof. Tien-Tsin WONG.

Previously, I received my B.Sc. (1st class honor & ELITE Stream) and M.Sc. degrees in Computer Science at CUHK in 2020 and 2021 respectively.

I'm interested in low-level computer vision, image processing, 3D facial animation and AI generated content.

Email  /  Google Scholar  /  Github  /  ResearchGate  /  LinkedIn

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Research Works
after for CodeTalker
before for codetalker
CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
Jinbo Xing, Menghan Xia, Yuechen Zhang, Xiaodong Cun, Jue Wang, Tien-Tsin Wong,
Computer Vision and Pattern Recognition (CVPR), 2023

arXiv  /  Project  /  Code

We minimize the over-smoothed facial expression using a learned discrete motion prior, which means more dramatic and expressive facial motions with more accurate lip movements can be achieved.

after for Ref-NPR
before for Ref-NPR
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields
Yuechen Zhang, Zexin He, Jinbo Xing, Xufeng Yao, Jiaya Jia
Computer Vision and Pattern Recognition (CVPR), 2023

arXiv  /  Project  /  Code  /  Video  /  Data

We present a controllable scene stylization method utilizing radiance fields to stylize a 3D scene, with a single stylized 2D view taken as reference.

Annimation for AIDN
Cover Image for AIDN
Scale-arbitrary Invertible Image Downscaling
Jinbo Xing*, Wenbo Hu*, Menghan Xia, Tien-Tsin Wong
arXiv preprint, 2022


We present a scale-arbitrary invertible image downscaling network (AIDN) to natively downscale HR images with arbitrary scale factors. Meanwhile, the HR images could be restored with AIDN whenever necessary.

Cover Image for FVI
Flow-aware Synthesis: A Generic Motion Model for Video Frame Interpolation
Jinbo Xing*, Wenbo Hu*, Yuechen Zhang, Tien-Tsin Wong
Computational Visual Media (CVM), 2021


We present a flow-aware multi-frame interpolation method to address the complicated non-linear motions in the real world.

Unstructured Knowledge Access in Task-oriented Dialog Modeling using Language Inference, Knowledge Retrieval and Knowledge-Integrative Response Generation
Mudit Chaudhary, Borislav Dzodzo, Sida Huang, Chun Hei Lo, Mingzhi Lyu, Lun Yiu Nie, Jinbo Xing, Tianhua Zhang, Xiaoying Zhang, Jingyan Zhou, Hong Cheng, Wai Lam, Helen Meng (All authors contribute equally)
AAAI Conference on Artificial Intelligence Workshop Program (AAAIW), DSTC9, 2021

Paper  /  Code  /  Paper Reading  /  Poster

We propose a system capable of accessing unstructured knowledge for task-oriented dialog.

Work Experiences
Tencent AI Lab, Tencent TEG Research Intern
Mentor: Dr. Menghan Xia
Jun. 2022 - Present
Stanley Ho Big Data Decision Analytics Research Centre, CUHK Research Assistant
Supervisor: Prof. Helen Meng
May 2020 - Aug. 2021
Cloud & Enterprise Intelligence, Huawei Technologies Algorithm Engineer Intern Jun. 2019 - Sept. 2019
Electronic Engineering Dept., CUHK Summer Research Intern
Supervisor: Prof. Ni Zhao
May 2018 - Jul. 2018
  • Postgraduate Studentship

  • Distinguished Academic Performance Scholarship of MSc Programme

  • ELITE Stream Student Scholarship (2018, 2019)

  • Computer Science scholarship

  • Dean’s List of Faculty of Engineering (2016, 2019, 2020)

  • Full Scholarship for Undergraduate Students (Mainland)

2022-2023   Spring    Introduction to Multimedia Systems (CSCI 3280)
2021-2022   Spring    Introduction to Multimedia Systems (CSCI 3280)
2021-2022   Fall          Problem Solving by Programming (ENGG 1110)
2021-2022   Fall          Computer Game Software Production (CMSC 5727)
    I am a keen amateur photographer.
    A lover of League of Legends and Apex Legends (Best rank in Diamond).

Last updated: Apr. 2023
Web page design credit to Jon Barron