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Shiori Ueda / 上田 栞

Ph.D. student

Keio University, Japan

Email: shiori.ueda[at]keio.jp

I am a Ph.D. student advised by Prof. Hideo Saito at Keio University, Japan. I am a Research Fellow of JSPS Research Fellowship for Young Scientists (DC1). My research interests include computer vision and machine learning. Motivated by my background as a photographer, I am passionate about capturing reality beyond conventional optical capture 📸.

✈ I am currently conducting research at the Visualization Research Center (VISUS), University of Stuttgart, as a guest researcher hosted by Alexander von Humboldt Prof. Dieter Schmalstieg.

Education

  • Ph.D in Engineering, Keio University, Kanagawa, Japan

    Sep. 2023 - Present

  • M.S. in Engineering, Keio University, Kanagawa, Japan

    Apr. 2022 - Sep. 2023

  • B. Engineering, Keio University, Kanagawa, Japan

    Apr. 2018 - Mar. 2022

Work Experiences

Recent Publications

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    X線CT画像からの電線ケーブルの三次元構造推定のためのLSTMによるアノテーション不要な素線追跡法

    佐藤花音, 上田栞, 斎藤英雄, 星名豊

    画像電子学会誌, 2025

    Paper

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    Free-Viewpoint Visual Inspection via 3D Gaussian Splatting for Direct Template Matching

    Kenta Ito, Shiori Ueda, Shohei Mori, Junichi Sugano, Hideyuki Adachi, Hideo Saito

    Annual Conference of the IEEE Industrial Electronics Society (IECON), 2024

    Paper
    🏆Best Presentation Recognition
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    Visuo-Tactile Zero-Shot Object Recognition with Vision-Language Model

    Shiori Ueda, Atsushi Hashimoto, Masashi Hamaya, Kazutoshi Tanaka, Hideo Saito

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

    ProjectArxiv
    🏅Young Award
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    Three-dimensional shape estimation of wires from three-dimensional X-ray computed tomography images of electrical cables

    Shiori Ueda, Kanon Sato, Hideo Saito, Yutaka Hoshina

    Journal of Electronic Imaging, 2024, (Shiori Ueda and Kanon Sato contributed equally to this work)

    Paper

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    Toward Multi-Plane Image Reconstruction from a Casually Captured Focal Stack

    Shiori Ueda, Hideo Saito, Shohei Mori

    International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2024

    ProjectPaper
    🏅Selected as Full Paper (Top 24%)

Grants

Awards

Certifications

Skills

  • Programming Languages: Python, C#, C/C++, HTML/CSS, Java, JavaScript, SQL

  • Computer Vision: PyTorch, OpenCV, CUDA

  • Interactive Development: Blender, Unity

  • Development Tools / OS: Git / GitHub, Docker, Linux, Ubuntu