Yizhou Li   Ph.D. Candidate System and Control Engineering Department Tokyo Institute of Technology Email: yli [at] ok.sc.e.titech.ac.jp [Google Scholar] | [Lab]

Biography

I started my Ph.D. life in the SCE Department of Tokyo Tech in 2021 Fall. My supervisor is Prof. Masatoshi Okutomi, and I also work with Prof. Yusuke Monno. Prior to that, I received M.E. degree in the same department of Tokyo Tech in 2021 Fall (GPA 3.50/4), and B.E. degree in CS Department from SCU in 2019 Fall (GPA 3.57/4).

My research is in computer vision and image processing. I am particularly interested in low-level vision and 3D reconstruction.

Publications

• 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
  
• 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
  The Annual International Conference of the 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
  Proceedings of the 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, rate: 3.1% in all submissions.
  
• Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
  Yizhou Li, Yusuke Monno, Masatoshi Okutomi
  Proceedings of the 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
  The 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
  The 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
  The 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019
  

Awards

Meritorious Winner Award, CVPR 2024: Segment Anything In Medical Images On Laptop	2024
Miura Award, The Japan Society of Mechanical Engineers	2022
Outstanding Graguates, SCU	2019
Microsoft Imagine Cup: National 2nd Prize	2018
Undergratuate Training Program for Innovation and Entrepreneurship: National Project	2018
Blue Bridge Cup Software Development Competition: National 3rd Prize	2017

Scholarships

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

Experiences

• Visiting Student | University of Cambridge | July 2023 – Oct 2023
  Advisor: Rafal Mantiuk
  Topic: Self-supervised Depth-from-Defocus and Multi-focus Image Fusion using Differentiable Rendering
  
• Internship | OPPO Japan Research Center | March 2022 – November 2022
  Advisor: Tatsuya Baba, Hiroyuki Uchiyama, Ahmed Boudissa
  Topic: Generalized Stereo Vision on Smartphone
  
• Internship | Baidu, Inc. | Jan 2018 – May 2018
  Position: R&D of Department of Natural Language and Processing
  Topic: Baidu Map LBS Chatbot
  

Academic Service

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