🎓 Biography

I am a final year Ph.D. student in Okutomi Lab, Dept. of System Control and Engineering, Institute of Science Tokyo, advised by Prof.Masatoshi Okutomi. Before that, I obtained my M.S. degree from the same school and my B.S. degree from South China University of Technology in July 2020.
My research interests lie in 3D vision and autonomous driving perception. Previously, I did some research on Stereo Matching and 3D detections, now I am focused on generative models. Besides, I am also a reviewer for top conferences including NeurIPS, ICLR, ICML,CVPR, etc.

💼 Experience

• Sony, R&D Intern.      2025/01/15- Now
  Tokyo, Japan
  Supervisor: Guifen Tian

• Preferred Networks, R&D Intern.      2024/08/05-2024/09/30
  Tokyo, Japan
  Supervisor: Taizan Yonetsuji

• Sensetime Japan, Researcher Intern.      2023/06/05-2023/11/30
  Tokyo, Japan
  Supervisor: Hiroki Sakuma

• MEGVII, Computer Vision Engineering Intern.      2022/01/05-2022/03/30
  Shanghai, China
  Supervisor: Zhao Yang

• Tokyo Institute of Technology, Research Assistant.      2024/04/01- Now
  Tokyo, Japan
  Supervisor: Masatoshi Okutomi

🔔 News

• [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] Start Intership at SenseTime Japan.
• [04/2023] Receive Tokyo Tech Advanced Human Resource Development Fellowship.
• [03/2023] Receive the SCIE Student Award.
• [03/2023] Receive Excellent Grauduation Paper Award Award.
• [06/2022] One paper aws accepted by ACMMM 2022.

📝 Publications

CVPR 2024 VSRD: Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection.

Zihua Liu*, Hiriki Sakuma, Masatoshi Okutomi
Proceedings of the IEEE/CVF Computer Vision and Pattern Recognition.
📄 Paper     🌐 Project     💻 Code

ICRA 2024 CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation.

Zihua Liu, Yizhou Li, Masatoshi Okutomi
IEEE International Conference on Robotics and Automation
📄 Paper     🌐 Project     💻 Code

WACV 2024 Global Occlusion-Aware Transformer for Robust Stereo Matching.

Zihua Liu, Yizhou Li, Masatoshi Okutomi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
📄 Paper     🌐 Project     💻 Code

ACM MM 2022 Digging Into Normal Incorporated Stereo Matching.

Zihua Liu, Songyan Zhang, Zhicheng Wang, Masatoshi Okutomi
Proceedings of the 30th ACM International Conference on Multimedia
📄 Paper     🌐 Project     💻 Code

BMVC 2024 Disparity Estimation Using a Quad-pixel Sensor.

Zhuofeng Wu, D.Lee, Zihua Liu, K.Yoshizaki, Masatoshi Okutomi
The Thirty Fifth British Machine Vision Conference
📄 Paper     🌐 Project     💻 Code     📦 Dataset

MMM 2025 🏆 Best Student Paper TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration

Yizhou Li, Zihua Liu, Yusuke Monno, Masatoshi Okutomi
MultiMedia Modeling: 31st International Conference on Multimedia Modeling
📄 Paper     🌐 Project     💻 Code

🏅 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