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.

Research interests

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

[Forthcoming] 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.
[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]

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

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

Awards

Research Funding

Support for Pioneering Research Initiated by the Next Generation (SPRING), Japan Science and Technology Agency (JST).

Get In Touch