Lilika Makabe, Michael Waechter, and Yasuyuki Matsushita
23rd Meeting on Image Recognition and Understanding (MIRU), Aug. 2020. (in Japanese)
Lilika Makabe
I am a fourth year PhD student at a computer vision lab, Graduate School of Information Science and Technology, the University of Osaka, Japan, supervised by Prof. Yasuyuki Matsushita.
📣I'm actively looking for a job/postdoc opportunity!📣Research interests
- Computer vision
- 3D reconstruction and apperance recovery/li>
- Physics based vision
- Computer graphics
Education
| Period | Description |
|---|---|
| Apr. 2022 ~ | Ph.D. of Information Science, School of Information Science and Technology, the University of Osaka, Japan. |
| Apr. 2020 ~ Mar. 2022 | Master of Information Science, School of Information Science and Technology, the University of Osaka, Japan. |
| Apr. 2016 ~ Mar. 2020 | Bachelor of Engineering, School of Engineering, the University of Osaka, Japan. |
Work experiences
| Period | Roll/Place | Project Description |
|---|---|---|
| Jun. 2025 ~ Present | Internship at Microsoft Research Asia Tokyo, Japan. |
Embodied AI |
| Jun. 2024 ~ Aug. 2024 | International Visiting Research Trainee York University, Canada. |
Camera spectral sensitivity estimation |
| Oct. 2021 ~ Present | Research Assistant the University of Osaka, Japan. |
|
| Apr. 2021 ~ Sep. 2021 | Part-time Research Assistant, Mitsubishi Electric Corp. and the University of Osaka, Japan. |
CT image super-resolution via deep learning |
| Apr. 2020 ~ Nov. 2020 | Part-time Research Assistant, RICOH Industrial Solutions Inc. and the University of Osaka, 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
[New!📣] Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating
Lilika Makabe, Hiroaki Santo, Fumio Okura, Michael S. Brown, and Yasuyuki Matsushita
Proceedings of IEEE International Conference on Computer Vision (ICCV), 2025.
[project page]
[paper+supp]
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]
Domestic Conference Paper
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, the University of Osaka (Mar. 2022)
- Science Award for Female Graduate Students, the University of Osaka (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)