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]
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Lilika Makabe
I am a 2nd year PhD student at a computer vision lab, Graduate School of Information Science and Technology, Osaka University, Japan, supervised by Prof. Yasuyuki Matsushita.
Research interests
- Computer vision
- 3D vision
- Physics based vision
- Computer graphics
Education
Period | Description |
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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 |
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Oct. 2021 ~ Present | Research Assistant Osaka University, Japan. |
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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
Lilika Makabe, Hiroaki Santo, Fumio Okura, and Yasuyuki Matsushita
Proceedings of IEEE International Conference on Computational Photography (ICCP), 2023
[paper]
[supp]
Domestic Conference Paper
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)