Lilika Makabe

Computer Vision / 3D Reconstruction / Physics-based Vision

Lilika Makabe

I received my Ph.D. in Information Science from the University of Osaka, Japan, under the supervision of Professor Yasuyuki Matsushita.

From October 2026, I'm joining Professor Shree Nayar's lab at Columbia University as a visiting scholar.

📣 I'm actively looking for researcher positions starting after my visit. Feel free to get in touch!

News

  • Oct 2026Joining Professor Shree Nayar's lab at Columbia University as a visiting scholar.
  • Sep 2026Received my Ph.D. from the University of Osaka. 🎓
  • May 2026Our paper DP-SfM is accepted to IEEE TPAMI.
  • May 2026Recognized as an Outstanding Reviewer at CVPR 2026.

Experience

  • Columbia UniversityVisiting Scholar · Host: Professor Shree Nayar
    Oct. 2026 – Sep. 2027 (expected)
  • Microsoft Research AsiaResearch Intern
    Jun. 2025 – Sep. 2026
  • York UniversityVisiting Research Trainee · Host: Professor Michael S. Brown
    Jun. 2024 – Aug. 2024

Publications

Journal Papers

DP-SfM: Dual-Pixel Structure from Motion without Scale Ambiguity

Lilika Makabe, Kohei Ashida, Hiroaki Santo, Fumio Okura, and Yasuyuki Matsushita

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2026

[project page] [preprint (arXiv:2605.01852)]

International Conference Papers

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 (arXiv:2508.00330)]

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

[project page] [paper (arXiv:2603.16404)] [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]