Dr Chengpei Xu

Dr Chengpei Xu

Research Associate
Engineering
Mineral and Energy Resources Engineering

Dr. Chengpei Xu is a Postdoc Fellow at the Mine Internet of Things and Indoor Positioning (MIoT & IPIN) Lab, MERE, University of New South Wales, Sydney.

He received his Bachelor's degree in System Engineering from NUDT, China, Master's degree in Information Technology from University of New South Wales (UNSW), and Ph.D. degree in Computing Sciences and Engineering from University of Technology Sydney (UTS) in 2022.

His research focuses on Multi-modal Learning and Generative AI. He is dedicated to designing deep learning algorithms for multi-modal scene/document understanding and analysis, as well as developing generative AI for various applications such as healthcare, eLearning and human–computer interaction. Additionally, his works extends to multi-modal sensor fusion aimed at understanding complex, degraded environments and the detection and recognition of arbitrarily shaped scene text. His expertise spans several applied domains, enhancing the practical impact.

  • Journal articles | 2024
    Hu Y; Li B; Xu C; Saydam S; Zhang W, 2024, 'FeatSync: 3D point cloud multiview registration with attention feature-based refinement', Neurocomputing, 600, http://dx.doi.org/10.1016/j.neucom.2024.128088
    Journal articles | 2024
    Zhang Y; Zhou J; Qiu Y; Armaghani DJ; Xie Q; Yang P; Xu C, 2024, 'A Visual Survey of Tunnel Boring Machine (TBM) Performance in Tunneling Excavation: Mainstream Direction, Brief Review and Future Prospects', Applied Sciences (Switzerland), 14, http://dx.doi.org/10.3390/app14114512
    Journal articles | 2023
    Wang W; Pagnucco M; Xu C; Song Y, 2023, 'InterREC: An Interpretable Method for Referring Expression Comprehension', IEEE Transactions on Multimedia, 25, pp. 9330 - 9342, http://dx.doi.org/10.1109/TMM.2023.3251111
    Journal articles | 2023
    Xu C; Jia W; Cui T; Wang R; Zhang YF; He X, 2023, 'Arbitrary-Shape Scene Text Detection via Visual-Relational Rectification and Contour Approximation', IEEE Transactions on Multimedia, 25, pp. 4052 - 4066, http://dx.doi.org/10.1109/TMM.2022.3171085
    Journal articles | 2023
    Xu C; Jia W; Wang R; He X; Zhao B; Zhang Y, 2023, 'Semantic Navigation of PowerPoint-Based Lecture Video for AutoNote Generation', IEEE Transactions on Learning Technologies, 16, pp. 1 - 17, http://dx.doi.org/10.1109/TLT.2022.3216535
    Journal articles | 2023
    Xu C; Jia W; Wang R; Luo X; He X, 2023, 'MorphText: Deep Morphology Regularized Accurate Arbitrary-Shape Scene Text Detection', IEEE Transactions on Multimedia, 25, pp. 4199 - 4212, http://dx.doi.org/10.1109/TMM.2022.3172547
    Journal articles | 2021
    Zhang YF; Zheng J; Li L; Liu N; Jia W; Fan X; Xu C; He X, 2021, 'Rethinking feature aggregation for deep RGB-D salient object detection', Neurocomputing, 423, pp. 463 - 473, http://dx.doi.org/10.1016/j.neucom.2020.10.079
  • Conference Papers | 2022
    Gu Z; Yang X; Jia W; Xu C; Yu P; He X; Chen H; Lin Y, 2022, 'StrokePEO: Construction of a Clinical Ontology for Physical Examination of Stroke', in Proceedings - 2022 9th International Conference on Digital Home, ICDH 2022, pp. 218 - 223, http://dx.doi.org/10.1109/ICDH57206.2022.00041
    Conference Papers | 2019
    Xu C; Wang R; Lin S; Luo X; Zhao B; Shao L; Hu M, 2019, 'Lecture2Note: Automatic Generation of Lecture Notes from Slide-Based Educational Videos', in 2019 IEEE International Conference on Multimedia and Expo (ICME), IEEE, presented at 2019 IEEE International Conference on Multimedia and Expo (ICME), 08 July 2019 - 12 July 2019, http://dx.doi.org/10.1109/icme.2019.00159

Australia’s Economic Accelerator (AEA), 2024-2025, “Rock bolt identification based on LiDAR point cloud”, $160,000 (CI)

My Research Supervision

MPhil student: Birgul Topal, from Middle East Technical University, Ankara, Turkey. Thesis: Using Rock Bolts to Enhance
Partially Overlapping Point Cloud Registration Accuracy in Mine Tunnels.