Zihua Liu (刘子桦)
📧 zliu@ok.sc.e.titech.ac.jp
Machine Learning Engineer
Woven by Toyota
Woven City Management — Digital Twin Platform
Tokyo, Japan
🎓 Biography
I am currently a full-time Machine Learning Engineer at Woven by Toyota, working in the Woven City Management organization on the Digital Twin Platform. My current interests focus on computer vision for logistics and vision-language models (VLMs). Previously, my research focused on 3D vision and autonomous driving perception, including Stereo Matching and 3D detection, and I also explored generative models. Besides, I serve as a reviewer for top conferences including NeurIPS, ICLR, ICML, CVPR, etc.
💼 Experience
Woven by Toyota, Machine Learning Engineer (Permanent). 2026/04/01~
Tokyo, Japan
Mentor: Suxing LyuWoven by Toyota, Machine Learning Engineering Intern. 2025/08/01-2026/03/31
Tokyo, Japan
Mentor: Suxing LyuSony, R&D Intern. 2025/01/15- 2025/03/31
Tokyo, Japan
Supervisor: Guifen TianPreferred Networks, R&D Intern. 2024/08/05-2024/09/30
Tokyo, Japan
Supervisor: Taizan YonetsujiSensetime Japan, Researcher Intern. 2023/06/05-2023/11/30
Tokyo, Japan
Supervisor: Hiroki SakumaMEGVII, Computer Vision Engineering Intern. 2022/01/05-2022/03/30
Shanghai, China
Supervisor: Zhao YangTokyo Institute of Technology, Research Assistant. 2024/04/01- Now
Tokyo, Japan
Supervisor: Masatoshi Okutomi
🔔 News
- [03/2026] I have received the “Graduate Research Encouragement Award” from the Society of Automotive Engineers of Japan (JSAE).
- [01/2026] I have completed my PhD defense presentation for the doctoral thesis in the Institute of Science, Tokyo, titled “Deep Learning Based Stereo Vision: From Robust Stereo Matching to Feed-Forward 3D Reconstruction.”
- [07/2025] Our Paper “DMS:Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation.” has been accepted by ICCV2025 AIM Workshop for oral presentation.
- [01/2025] Our paper titled “TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration” has been selected as the Best Student Paper for MMM2025.
- [10/2024] One paper was accepted by MMM 2025.
- [07/2024] One paper was accepted by BMVC 2024.
- [02/2024] One paper was accepted by CVPR 2024.
- [02/2024] One paper was accepted by ICRA 2024.
- [10/2023] One paper was accepted by WACV 2024.
- [06/2023] Started internship at SenseTime Japan.
- [04/2023] Received Tokyo Tech Advanced Human Resource Development Fellowship.
- [03/2023] Received the SCIE Student Award.
- [03/2023] Received Excellent Graduation Paper Award.
- [06/2022] One paper was accepted by ACM MM 2022.
📝 Publications






🏅 Honors & Awards
- Tokyo Tech Advanced Human Resource Development Fellowship. 2023/04-2026/04
- SCIE Student Award. 2023/03
🤝 Services
Reviewer for the CVPR2025, ICML2025 and ICLR2025 2025
Reviewer for the ACM International Conference on Multimedia 2022,2024
Reviewer for the BMVC 2024
Reviewer for the NeurIPS 2024
Reviewer for the ICLR 2024
