Publication

1. 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]

2. 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] 

3. Ryuta Shitomi, Mayuka Tsuji, Yuki Fujimura, Takuya Funatomi, Yasuhiro Mukaigawa, Tetsuro Morimoto, Takeshi Oishi, Jun Takamatsu, and Katsushi Ikeuchi: Unsupervised learning with physics-based autoencoder for estimating thickness and mixing ratio of pigments, Journal of the Optical Society of America A, Vol. 40, No. 1, pp.116-128, 2023. [paper]

4. 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]

5. 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]

6. 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]

1. Kazuma Fujiwara, Takuya Funatomi, Kazuya Kitano, Yuki Fujimura, and Yasuhiro Mukaigawa, Hiroshi Ochiai: Detection of Multiple Fluorescent Dyes Using Liquid Crystal Variable Retarder and Sparse Modeling, Electronic Imaging, vol. 36, No. 15, pp. 161-1, 2024.

2. 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]

3. Suzan J. Kessy, Takuya Funatomi, Yuki Fujimura, Kazuya Kitano, Guillaume Caron, El Mustapha Mouaddib, Yasuhiro Mukaigawa: Hyperspectral Imaging of In-Site Stained Glasses: Illumination Variation Compensation Using Two Perpendicular Scans, The IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 1662-1670, 2023.

4. Mayuka Tsuji, Yuki Fujimura, Takuya Funatomi, Yasuhiro Mukaigawa, Tetsuro Morimoto, Takeshi Oishi, Jun Takamatsu, Katsushi Ikeuchi: Pigment Mapping for Tomb Murals using Neural Representation and Physics-based Model, The IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, pp. 1671-1679, 2023.

5. Ippei Otake, Kazuya Kitano, Takahiro Kushida, Hiroyuki Kubo, Akinobu Maejima, Yuki Fujimura, Takuya Funatomi, Yasuhiro Mukaigawa: Updating Human Pose Estimation using Event-based Camera to Improve Its Accuracy, SIGGRAPH Posters, 2023. <acceptance rate: 51/143=35.7%> [paper]

6. Yohanssen Pratama, Yuki Fujimura, Takuya Funatomi, and Yasuhiro Mukaigawa: Parasitic Egg Detection and Classification by Utilizing YOLO Algorithm with Deep Latent Space Image Restoration and GrabCut Augmentation, 2022 IEEE International Conference on Image Processing (ICIP), pp. 4311-4315, 2022.

7. 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] 

8. 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]

9. Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, and Michihiko Minoh: Shape reconstruction of objects in participating media by combining photometric stereo and optical thickness, Computer Vision for Analysis of Underwater Imagery (CVAUI), 2016 ICPR 2nd Workshop on, pp.49-54, 2016.

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