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

  1. Zou, Zheng / Lang, Hong / Lu, Jian / Ma, Qinglu (2024): Coarse-to-refined road curb segmentation from MLS point clouds. In: Automation in Construction, v. 166 (Oktober 2024).

    https://doi.org/10.1016/j.autcon.2024.105586

  2. Li, Jiaqi / Zhao, Xuefeng / Kong, Lingjie / Zhang, Lixiao / Zou, Zheng (2024): Construction Activity Recognition Method Based on Object Detection, Attention Orientation Estimation, and Person Re-Identification. In: Buildings, v. 14, n. 6 (19 Juni 2024).

    https://doi.org/10.3390/buildings14061644

  3. Zou, Zheng / Lang, Hong / Lou, Yuexin / Lu, Jian (2023): Plane-based global registration for pavement 3D reconstruction using hybrid solid-state LiDAR point cloud. In: Automation in Construction, v. 152 (August 2023).

    https://doi.org/10.1016/j.autcon.2023.104907

  4. Zou, Zheng / Zhao, Peng / Zhao, Xuefeng (2021): Automatic segmentation, inpainting, and classification of defective patterns on ancient architecture using multiple deep learning algorithms. In: Structural Control and Health Monitoring, v. 28, n. 7 (2 Juni 2021).

    https://doi.org/10.1002/stc.2742

  5. Wang, Niannian / Zhao, Xuefeng / Wang, Linan / Zou, Zheng (2019): Novel System for Rapid Investigation and Damage Detection in Cultural Heritage Conservation Based on Deep Learning. In: Journal of Infrastructure Systems, v. 25, n. 3 (September 2019).

    https://doi.org/10.1061/(asce)is.1943-555x.0000499

  6. Zou, Zheng / Zhao, Xuefeng / Zhao, Peng / Qi, Fei / Wang, Niannian (2019): CNN-based statistics and location estimation of missing components in routine inspection of historic buildings. In: Journal of Cultural Heritage, v. 38 (Juli 2019).

    https://doi.org/10.1016/j.culher.2019.02.002

  7. Wang, Niannian / Zhao, Xuefeng / Zou, Zheng / Zhao, Peng / Qi, Fei (2020): Autonomous damage segmentation and measurement of glazed tiles in historic buildings via deep learning. In: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 3 (5 Februar 2020).

    https://doi.org/10.1111/mice.12488

  8. Wang, Niannian / Zhao, Xuefeng / Zhao, Peng / Zhang, Yang / Zou, Zheng / Ou, Jinping (2019): Automatic damage detection of historic masonry buildings based on mobile deep learning. In: Automation in Construction, v. 103 (Juli 2019).

    https://doi.org/10.1016/j.autcon.2019.03.003

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