Assistant Professor
Optical Media Interface Laboratory, Nara Institute of Science and Technology (NAIST)
Mail: fujimura.yuki at is.naist.jp

Yuki Fujimura received the PhD in informatics at Kyoto University in 2021.
His research interests include physics-based vision and machine learning.

News

Research project

Deep depth from focus/defocus with a camera model

Yuki Fujimura, Masaaki Iiyama, Takuya Funatomi, and Yasuhiro Mukaigawa: Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance, International Journal of Computer Vision, Vol. 132, No. 6, pp. 1970-1985, 2024. [paper][code][arXiv][press release]

Analysis  of organoid images

Yuki Fujimura, Itsuki Sakai, Itsuki Shioka, Nozomu Takata, Atsushi Hashimoto, Takuya Funatomi,  and Satoru Okuda: Machine learning-based estimation of spatial gene expression pattern during ESC-derived retinal organoid development, Scientific Reports, Vol. 13, No. 1, pp. 22781, 2023. [paper][code] 

Neural implicit surface in non-line-of-sight imaging

Yuki Fujimura, Takahiro Kushida, Takuya Funatomi, and Yasuhiro Mukaigawa: NLOS-NeuS: Non-line-of-sight Neural Implicit Surface, The IEEE/CVF International Conference on Computer Vision (ICCV), pp. 10532-10541, 2023. <acceptance rate: 2160/8260=26.15%> [project page][paper][arXiv]

Deep multi-view stereo in foggy scenes

Yuki Fujimura, Motoharu Sonogashira, and Masaki Iiyama: Dehazing cost volume for deep multi-view stereo in scattering media with airlight and scattering coefficient estimation, Computer Vision and Image Understanding, Vol. 211, 103253, 2021. [paper] [code

Yuki Fujimura, Motoharu Sonogashira, and Masaaki Iiyama: Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media: Asian Conference on Computer Vision (ACCV), 2020. <oral, acceptance rate: 63/768=8.2%> [paper] [code



Time-of-flight in foggy scenes

Yuki Fujimura, Motoharu Sonogashira, and Masaaki Iiyama: Simultaneous Estimation of Object Region and Depth in Participating Media Using a ToF Camera, IEICE Transactions on Information and Systems, Vol. E103-D, No. 3, pp.660-673, 2020. [paper]

Photometric stereo in participating media

Yuki Fujimura, Masaaki Iiyama, Atshushi Hashimoto, and Michihiko Minoh: Photometric Stereo in Participating Media Using an Analytical Solution for Shape-Dependent Forward Scatter, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 42, No. 3, pp. 708-719, 2020. [paper]

Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, and Michihiko Minoh: Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.7445-7453, 2018. <oral, acceptance rate: 70/3303=2.1%> [paper]

Award

Grant

Academic activities

Review