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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Deng, Lu / Yuan, Huaqing / Long, Lizhi / Chun, Pang-Jo / Chen, Weiwei / Chu, Honghu (2024): Cascade refinement extraction network with active boundary loss for segmentation of concrete cracks from high-resolution images. In: Automation in Construction, v. 162 (June 2024).

    https://doi.org/10.1016/j.autcon.2024.105410

  2. Chu, Honghu / Deng, Lu / Yuan, Huaqing / Long, Lizhi / Guo, Jingjing (2024): A transformer and self-cascade operation-based architecture for segmenting high-resolution bridge cracks. In: Automation in Construction, v. 158 (February 2024).

    https://doi.org/10.1016/j.autcon.2023.105194

  3. Chu, Honghu / Chun, Pang‐jo (2023): Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 4 (November 2023).

    https://doi.org/10.1111/mice.13111

  4. Chu, Honghu / Long, Lizhi / Guo, Jingjing / Yuan, Huaqing / Deng, Lu (2023): Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images. In: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 4 (November 2023).

    https://doi.org/10.1111/mice.13052

  5. Deng, Lu / Zuo, Hui / Wang, Wei / Xiang, Chao / Chu, Honghu (2023): Internal Defect Detection of Structures Based on Infrared Thermography and Deep Learning. In: KSCE Journal of Civil Engineering, v. 27, n. 3 (7 January 2023).

    https://doi.org/10.1007/s12205-023-0391-7

  6. Chu, Honghu / Wang, Wei / Deng, Lu (2022): Tiny‐Crack‐Net: A multiscale feature fusion network with attention mechanisms for segmentation of tiny cracks. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 14 (August 2022).

    https://doi.org/10.1111/mice.12881

  7. Wang, Wei / Shi, Peng / Chu, Honghu / Deng, Lu / Yan, Banfu (2021): Deep Learning Framework for Total Stress Detection of Steel Components. In: Journal of Bridge Engineering (ASCE), v. 26, n. 1 (January 2021).

    https://doi.org/10.1061/(asce)be.1943-5592.0001655

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