About me

I am Zhilin Guo, a PhD student in Computer Science with Core Lab at University of Cambridge, supervised by Prof. Cengiz Öztireli. My research revolves around developing AI algorithms and tools that allow easy understanding, recreating, and editing of high-fidelity 3D scenes. It is an extension of my long-standing passion for machines to understand the real world for the purpose of creating digital realms with ease.

Before joining Cambridge, I completed my Master's degree in Computer Science at Columbia University. At the same time, I embarked on a research project supervised by Prof. Zhiguo Cao and Prof. Yang Xiao to use spatial-temporal 3D hand pose estimation for Parkinson's Disease evaluation, through which I developed invaluable insight into Computer Science research, especially in Computer Vision and Deep Learning.

My foundation in Computer Science was laid at Boston University, from where I received my Bachelor's degree in Computer Science. Those years kindled my curiosity in Computers and Artificial Intelligence, shaping the trajectory of my future studies.

When I'm not immersed in research, I find solace in tennis, jogging, and painting miniature models. I am always looking for collaborations or simple exchanges on shared academic interests!

Connect with me: zg296 at cam.ac.uk

News

  • [Apr 2025] One paper is presented at International Conference on Learning Representations (ICLR) 2025!
  • [Dec 2024] One paper is presented at Neural Information Processing Systems (NeurIPS) 2024 FITML!
  • [Sep 2024] One paper is presented at European Conference on Computer Vision (ECCV) 2024!
  • [Oct 2022] I start as a PhD student in Computer Science at University of Cambridge!
  • [Aug 2022] One paper is published in IEEE Journal of Biomedical and Health Informatics (JBHI)!
  • [Feb 2022] I will be joining University of Cambridge as a PhD student in Computer Science this fall!

Publications

(*: equal contribution. †: corresponding author.)

Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping [Paper]

Tianhao Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Oztireli†
International Conference on Learning Representations (ICLR) 2025

Fitness Aware Human Motion Generation from Fine-Tuning [Paper]

Kiril Bikov*, Shiye Su*, Deepro Choudhury*, Zhilin Guo, Weihao Xia, Mehmet Salih Çeliktenyıldız, Chenliang Zhou, Param Hanji, Cengiz Oztireli†
Neural Information Processing Systems (NeurIPS) 2024 FITML

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation [Paper]

Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Oztireli†
European Conference on Computer Vision (ECCV) 2024

Vision-Based Finger Tapping Test in Patients With Parkinson’s Disease via Spatial-Temporal 3D Hand Pose Estimation [Paper]

Zhilin Guo*, Weiqi Zeng*, Taidong Yu*, Yan Xu, Yang Xiao, Xuebing Cao†, Zhiguo Cao†.
IEEE Journal of Biomedical and Health Informatics (JBHI), Vol.26, No.8, August 2022.

Survey on depth and RGB image-based 3D hand shape and pose estimation [Paper]

Lin Huang*, Boshen Zhang*, Zhilin Guo*, Yang Xiao†, Zhiguo Cao†, Junsong Yuan†.
Virtual Reality & Intelligent Hardware (VR-IH), Vol. 3, Issue 3, Pages 207-234, June 2021.

Research Experiences

High-fidelity 3D Scene Perception, Reconstruction, and Manipulation
| University of Cambridge		 03/2023 - Present
Neuromorphic Computing for Computer Vision
| University of Cambridge		 11/2022 - 03/2023
Hand Pose Estimation from Depth Video
| Huazhong University of Science and Technology		 09/2020 - 05/2022
Self-driving Algorithm Research
| Massachusetts Institute of Technology		 07/2019 - 08/2019
Functional-MRI (fMRI) Data Analysis using Deep Learning
| Harvard Medical School at Beth Israel Deaconess Medical Center		 08/2018 - 09/2018
BrainSort: MRI Data Analysis Toolbox
| Beijing Institute of Technology		 07/2018 - 08/2018
NLP: Keep writing A Song of Ice and Fire
| Rice University		 03/2018 - 07/2018