Ph.D Candidate

Room 307, South Building 5
Dept. of System Control and Engineering
Tokyo Institue of Technology. Tokyo, Japan.

Biography

I am a first-year Ph.D. student in Okutomi Lab, Dept. of System Control and Engineering, Tokyo Institue of Technology, 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.

Experience

• 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

News

• [02/2024] One paper were accepted by CVPR2024.
• [02/2024] One paper were accepted by ICRA2024.
• [10/2023] One paper were accepted by WACV2024.
• [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 were accepted by ACM MM 2022.

Publications

• VSRD: Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection.
  Z.Liu*, H.Sakuma*, M.Okutomi
  Proceedings of the IEEE/CVF Computer Vision and Pattern Recognition. (CVPR 2024)
  * is the equal contribution.
  [project page] [paper] [code]

• CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation.
  Z. Liu, Y. Li, M.Okutomi
  IEEE International Conference on Robotics and Automation (ICRA2024)
  [project page] [paper] [code]

• Global Occlusion-Aware Transformer for Robust Stereo Matching.
  Z. Liu, Y. Li, M.Okutomi
  Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision(WACV 2024)
  [project page] [paper] [code]

• Digging Into Normal Incorporated Stereo Matching.
  Z. Liu, S. Zhang, Z. Wang, M. Okutomi
  Proceedings of the 30th ACM International Conference on Multimedia(ACM MM 2022)
  [project page]  [paper] [code]

Honors & Awards

• Tokyo Tech Advanced Human Resource Development Fellowship.      2023/04-2026/04
• SCIE Student Award.      2023/03

Academic Services

• Reviewer for the ACM International Conference on Multimedia      2022,2024