Research interests
- Computer vision
- 3D vision
- Physics based vision
- Computer graphics
Education
Period |
Description |
Apr. 2022 ~ |
Ph.D. of Information Science,
School of Information Science and Technology, Osaka University, Japan.
|
Apr. 2020 ~ Mar. 2022 |
Master of Information Science,
School of Information Science and Technology, Osaka University, Japan.
|
Apr. 2016 ~ Mar. 2020 |
Bachelor of Engineering,
School of Engineering, Osaka University, Japan.
|
|
Work experiences
Period |
Roll/Place |
Project Description |
Oct. 2021 ~ Present |
Research Assistant
Osaka University, Japan.
|
|
Apr. 2021 ~ Sep. 2021 |
Part-time Research Assistant,
Mitsubishi Electric Corp. and Osaka University, Japan.
|
CT image super-resolution via deep learning |
Apr. 2020 ~ Nov. 2020 |
Part-time Research Assistant,
RICOH Industrial Solutions Inc. and Osaka University, Japan.
|
3D reconstruction of oil paintings by photometric-stereo |
Aug. 2020 ~ Sep. 2020 |
Research Internship,
R&D Center Sony Group Corporation, Japan.
|
Analysis of multi-attribute point cloud data for efficient compression |
|
Publications
International Conference Paper
Shape-coded ArUco: Fiducial marker for bridging 2D and 3D modalities
Lilika Makabe, Hiroaki Santo, Fumio Okura, and Yasuyuki Matsushita
Proceedings of IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022.
[project page]
[paper]
[supp]
Near-light Photometric Stereo with Symmetric Lights
Lilika Makabe, Hiroaki Santo, Fumio Okura, and Yasuyuki Matsushita
Proceedings of IEEE International Conference on Computational Photography (ICCP), 2023
[paper]
[supp]
Domestic Conference Paper
High-resolution image generation by image synthesis
Lilika Makabe, Michael Waechter, and Yasuyuki Matsushita
23rd Meeting on Image Recognition and Understanding (MIRU), Aug. 2020. (in Japanese)
Skills
- Programming Languages: Python
- Software: Blender, Docker, Git, Latex
- Languages: English (fluent), Japanese (native)
Awards
- Best Master Thesis Award, Graduate School of Information Science and Technology, Osaka University (Mar. 2022)
- Science Award for Female Graduate Students, Osaka University (Apr. 2022)
Research Funding
Support for Pioneering Research Initiated by the Next Generation (SPRING), Japan Science and Technology Agency (JST).
- Title: High-fidelity 3D shape and material reconstruction.
- Period: Apr. 2023-Mar. 2025
- Total grant: 1.2 million Yen (≃ US$ 8,400)