Yuki Fujimura received the B.S. degree in engineering and the M.S. degree in informatics from Kyoto University in 2016 and 2018, respectively. He is currently pursuing his Ph.D. degree in informatics at Kyoto University. He is a research fellow (DC2) of Japan Society for the Promotion of Science (JSPS). His research interests include computer vision, 3D reconstruction, machine learning, and light scattering modeling. He is a student member of IEEE.

Research

Defogging Kinect

Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama, “Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes,” The 22nd Meeting on Image Recognition and Understanding (MIRU), 2019. <long oral>

藤村 友貴, 薗頭 元春, 飯山 将晃, “ToF カメラを用いた散乱媒体下での物体領域と奥行きの同時推定”, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), Vol. 2018-CVIM-214, No. 16, 2018.

Photometric Stereo in Participating Media

Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, 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%> [pdf]

藤村 友貴, 飯山 将晃, 橋本 敦史, 美濃 導彦, “形状に依存する前方散乱を考慮した散乱媒体下での照度差ステレオ法”, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), Vol. 2017-CVIM-209, No. 2, 2017.

Publication

Journal paper

  1. Yuki Fujimura, Masaaki Iiyama, Atshushi Hashimoto, Michihiko Minoh, “Photometric Stereo in Participating Media Using an Analytical Solution for Shape-Dependent Forward Scatter, DOI 10.1109/TPAMI.2018.2889088, IEEE Transactions on Pattern Analysis and Machine Intelligence. forthcoming

Conference paper

  1. Yuki Fujimura, Motoharu Sonogashira, Masaaki Iiyama, “Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes,” The 22nd Meeting on Image Recognition and Understanding (MIRU), 2019. <long oral>
  2. Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, 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%> [pdf]
  3. Yuki Fujimura, Masaaki Iiyama, Atsushi Hashimoto, 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.

In Japanese

  1. 喜島 大揮, 藤村 友貴, 薗頭 元春, 飯山 将晃, “近接光源下で撮影された画像からの散乱除去と深度推定”, 2019年電子情報通信学会総合大会, D-12-45, 2019.
  2. 藤村 友貴, 薗頭 元春, 飯山 将晃, “ToF カメラを用いた散乱媒体下での物体領域と奥行きの同時推定”, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), Vol. 2018-CVIM-214, No. 16, 2018.
  3. 藤村 友貴, 飯山 将晃, 橋本 敦史, 美濃 導彦, “形状に依存する前方散乱を考慮した散乱媒体下での照度差ステレオ法”, 情報処理学会 コンピュータビジョンとイメージメディア研究会 (CVIM), Vol. 2017-CVIM-209, No. 2, 2017.
  4. 藤村 友貴, 飯山 将晃, 舩冨 卓哉, 橋本 敦史, 美濃 導彦, “散乱光を用いた形状計測のためのレーザー照射位置決定”, 2016年電子情報通信学会総合大会, D-12-53, 2016.

Grant

  • JSPS Research Fellowships for Young Scientists (DC2) [Apr. 2019 – Mar. 2021]

Award

  • “Defogging Kinect: Simultaneous Estimation of Object Region and Depth in Foggy Scenes”, The 22nd Meeting on Image Recognition and Understanding (MIRU), MIRU学生奨励賞.
  • “Defogging Kinect: 散乱媒体下での物体領域と奥行きの同時推定”, 京都大学第13回ICTイノベーション, 優秀研究賞.