Yizhou Li

Yizhou Li

Autonomous Driving Engineer @ Sony & Sony Honda Mobility
Ph.D., Tokyo Institute of Technology
liyizhou.yaphel@gmail.com
LinkedIn Google Scholar Lab Page

About

I currently work at Sony and Sony Honda Mobility on the AFEELA autonomous driving platform, focusing on perception, end-to-end planning, and photorealistic closed-loop simulation.

I received my Ph.D. from the SCE Department of Tokyo Tech, supervised by Prof. Masatoshi Okutomi and Prof. Yusuke Monno. Prior to that, I received my M.E. from the same department and my B.E. in CS from Sichuan University.

Autonomous Driving Computer Vision Image Processing Low-Level Vision 3D Reconstruction

Experience

Autonomous Driving Engineer
Sony & Sony Honda Mobility (AFEELA)
Oct 2024 — Present
Perception, End-to-End Planning, Photorealistic Closed-Loop Simulator
Visiting Student
University of Cambridge
Jul 2023 — Oct 2023
Advisor: Rafal Mantiuk
Self-supervised Depth-from-Defocus and Multi-focus Image Fusion using Differentiable Rendering
Research Internship
OPPO Japan Research Center
Mar 2022 — Nov 2022
Advisors: Tatsuya Baba, Hiroyuki Uchiyama, Ahmed Boudissa
Generalized Stereo Vision on Smartphone
R&D Internship
Baidu, Inc.
Jan 2018 — May 2018
Department of Natural Language Processing
Baidu Map LBS Chatbot

Education

Ph.D. in System and Control Engineering
Tokyo Institute of Technology
Oct 2021 — Sep 2024
Advisors: Prof. Masatoshi Okutomi, Prof. Yusuke Monno
M.E. in System and Control Engineering
Tokyo Institute of Technology
Oct 2019 — Sep 2021
GPA: 3.50 / 4.00
B.E. in Computer Science
Sichuan University
Sep 2015 — Jun 2019
GPA: 3.57 / 4.00

Publications

DMS: Diffusion-Based Multi-Baseline Stereo Generation for Improving Self-Supervised Depth Estimation
Zihua Liu, Yizhou Li, Songyan Zhang, Masatoshi Okutomi
Advances in Image Manipulation — ICCV Workshop, 2025
TDM: Temporally-Consistent Diffusion Model for All-in-One Real-World Video Restoration
Yizhou Li, Zihua Liu, Yusuke Monno, Masatoshi Okutomi
International Conference on Multimedia Modeling — MMM, 2025
★ Best Student Paper Award
Dual-Pixel Raindrop Removal
Yizhou Li, Yusuke Monno, Masatoshi Okutomi
IEEE Transactions on Pattern Analysis and Machine Intelligence — TPAMI, 2024
Instance-Wise MRI Reconstruction Based on Self-Supervised Implicit Neural Representation
Songxiao Yang, Yizhou Li, Masatoshi Okutomi
IEEE Engineering in Medicine and Biology Society — EMBC, 2024
A Light-weight Universal Medical Segmentation Network for Laptops Based on Knowledge Distillation
Songxiao Yang, Yizhou Li, Ye Chen, Zhuofeng Wu, Masatoshi Okutomi
Foundation Models for Medical Vision — CVPR Workshop, 2024
★ Meritorious Winner Award (Top 5)
CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation
Zihua Liu, Yizhou Li, Masatoshi Okutomi
IEEE International Conference on Robotics and Automation — ICRA, 2024
Global Occlusion-Aware Transformer for Robust Stereo Matching
Zihua Liu, Yizhou Li, Masatoshi Okutomi
IEEE/CVF Winter Conference on Applications of Computer Vision — WACV, 2024
Dual-Pixel Raindrop Removal
Yizhou Li, Yusuke Monno, Masatoshi Okutomi
British Machine Vision Conference — BMVC, 2022
★ Oral Presentation — 3.1% acceptance rate
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
Yizhou Li, Yusuke Monno, Masatoshi Okutomi
IEEE/CVF Winter Conference on Applications of Computer Vision — WACV, 2022
Recurrent RLCN-Guided Attention Network for Single Image Deraining
Yizhou Li, Yusuke Monno, Masatoshi Okutomi
17th International Conference on Machine Vision and Applications — MVA, 2021
Advances in the Application of Machine Learning in Maxillofacial Cysts and Tumors
Hongxiang Mei, Junhao Cheng, Yizhou Li, Huangshui Ma, Kaiwen Zhang, Yuke Shou, Yang Li
West China Journal of Stomatology, 2020
Deep Density-aware Count Regressor
Zhuojun Chen, Junhao Cheng, Yuchen Yuan, Dongping Liao, Yizhou Li, Jiancheng Lv
24th European Conference on Artificial Intelligence — ECAI, 2020
CLPnet: Cleft Lip and Palate Surgery Support with Deep Learning
Yizhou Li, Junhao Cheng, Hongxiang Mei, Huangshui Ma, Zhuojun Chen, Yang Li
41st IEEE Engineering in Medicine and Biology Society — EMBC, 2019

Awards

2024
Meritorious Winner Award — CVPR 2024: Segment Anything In Medical Images On Laptop
2022
Miura Award — The Japan Society of Mechanical Engineers
2019
Outstanding Graduates — Sichuan University
2018
2nd Place, China Finals — Microsoft Imagine Cup
2018
National Project Award — Undergraduate Training Program for Innovation and Entrepreneurship
2017
3rd Place, China Finals — Blue Bridge Cup Software Development Competition

Scholarships

Sep 2021 — Sep 2024
JST Support for Pioneering Research Initialized by the Next Generation
Apr 2021 — Sep 2021
Moritani Scholarship Foundation Scholarship

Academic Service

Reviewer — IEEE Transactions on Pattern Analysis and Machine Intelligence 2022, 2023
Reviewer — Pattern Recognition 2023
Reviewer — IEEE Transactions on Neural Networks and Learning Systems 2022