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Tatsuro Yamane ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Yamane, Tatsuro / Chun, Pang-Jo / Dang, Ji / Okatani, Takayuki: Deep learning-based bridge damage cause estimation from multiple images using visual question answering. In: Structure and Infrastructure Engineering.

    https://doi.org/10.1080/15732479.2024.2355929

  2. Kunlamai, Thannarot / Yamane, Tatsuro / Suganuma, Masanori / Chun, Pang‐jo / Okatani, Takayaki (2023): Improving visual question answering for bridge inspection by pre‐training with external data of image–text pairs. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 3 (August 2023).

    https://doi.org/10.1111/mice.13086

  3. Yamane, Tatsuro / Chun, Pang‐jo / Dang, Ji / Honda, Riki (2023): Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 17 (November 2023).

    https://doi.org/10.1111/mice.12971

  4. Yamane, Tatsuro / Chun, Pang-Jo / Honda, Riki (2024): Detecting and localising damage based on image recognition and structure from motion, and reflecting it in a 3D bridge model. In: Structure and Infrastructure Engineering, v. 20, n. 4 (Oktober 2024).

    https://doi.org/10.1080/15732479.2022.2131845

  5. Chun, Pang‐jo / Yamane, Tatsuro / Maemura, Yu (2022): A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 11 (August 2022).

    https://doi.org/10.1111/mice.12793

  6. Chun, Pang‐jo / Izumi, Shota / Yamane, Tatsuro (2021): Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine. In: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 1 (19 Dezember 2021).

    https://doi.org/10.1111/mice.12564

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