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.
Xie C; Zhou W; Peng C; Hoshyar AN; Xu C; Naseem U; Xia F, 2025, 'Multimodal Hyperbolic Graph Learning for Alzheimer’s Disease Detection', in , pp. 390 - 403, http://dx.doi.org/10.1007/978-981-96-0351-0_29
Journal articles | 2025
Huang Z; Wang X; Xu C; Li J; Feng L, 2025, 'Underwater variable zoom: Depth-guided perception network for underwater image enhancement', Expert Systems with Applications, 259, http://dx.doi.org/10.1016/j.eswa.2024.125350
Journal articles | 2025
Ma L; Ma T; Xu C; Liu J; Fan X; Luo Z; Liu R, 2025, 'Learning With Self-Calibrator for Fast and Robust Low-Light Image Enhancement', IEEE Transactions on Pattern Analysis and Machine Intelligence, 47, pp. 9095 - 9112, http://dx.doi.org/10.1109/TPAMI.2025.3586712
Journal articles | 2025
Xu C; Zhou W; Huang Z; Zhang Y; Zhang Y; Wang W; Xia F, 2025, 'Fusion-based graph neural networks for synergistic underwater image enhancement', Information Fusion, 117, http://dx.doi.org/10.1016/j.inffus.2024.102857
Journal articles | 2025
Yin S; Wang L; Chen T; Huang H; Gao J; Zhang J; Liu M; Li P; Xu C, 2025, 'LKAFormer: A Lightweight Kolmogorov-Arnold Transformer Model for Image Semantic Segmentation', ACM Transactions on Intelligent Systems and Technology, http://dx.doi.org/10.1145/3759254
Journal articles | 2025
Zhang D; Yin S; Yu J; Wu Z; Li Z; Xu C; Wang X; Xia F, 2025, 'Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification', ACM Transactions on Asian and Low-Resource Language Information Processing, http://dx.doi.org/10.1145/3773989
Journal articles | 2025
Zhou S; Xu C; Fan G; Li J; Hua Z; Zhou J, 2025, 'SPRMamba: A Mamba-Based Saliency Proportion Reconciliatory Network With Squeezed Windows for Remote Sensing Change Detection', IEEE Transactions on Geoscience and Remote Sensing, 63, http://dx.doi.org/10.1109/TGRS.2025.3587704
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 | 2025
Huang Z; Zhou W; Li Y; Wu X; Xu C; Fang J; Jia Z; Lü L; Xia F, 2025, 'SEHG: Bridging Interpretability and Prediction in Self-Explainable Heterogeneous Graph Neural Networks', in Www 2025 Proceedings of the ACM Web Conference, pp. 1292 - 1304, http://dx.doi.org/10.1145/3696410.3714661
Conference Papers | 2025
Xu C; Zhou W; Ma L; Wang W; Xia F; Li B; Zhang W, 2025, 'Bright to Dark: Stage-wise Bilevel Knowledge Transfer for Seeing Text in the Dark', in Proceedings of the 33rd ACM International Conference on Multimedia, ACM, pp. 7191 - 7199, presented at MM '25: The 33rd ACM International Conference on Multimedia, http://dx.doi.org/10.1145/3746027.3754505
Xu C; Fu H; Ma L; Jia W; Zhang C; Xia F; Ai X; Li B; Zhang W, 2024, 'Seeing Text in the Dark: Algorithm and Benchmark', in Mm 2024 Proceedings of the 32nd ACM International Conference on Multimedia, pp. 2870 - 2878, http://dx.doi.org/10.1145/3664647.3680728
Preprints | 2024
Xu C; Fu H; Ma L; Jia W; Zhang C; Xia F; Ai X; Li B; Zhang W, 2024, Seeing Text in the Dark: Algorithm and Benchmark, http://arxiv.org/abs/2404.08965v3
Preprints | 2024
Xu C; Jia W; Wang R; Luo X; He X, 2024, MorphText: Deep Morphology Regularized Arbitrary-shape Scene Text
Detection, http://arxiv.org/abs/2404.17151v1
Conference Papers | 2023
Huang S; luo X; Lu J; Huang C; Xu C; Yuan T, 2023, 'Pseudo-label based and transformation-consistent self-ensembling model for underwater life images', in Batista P; Bilas Pachori R(ed.), International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), SPIE, pp. 147 - 147, presented at International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 24 February 2023 - 26 February 2023, http://dx.doi.org/10.1117/12.2681247
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
Preprints | 2021
Xu C; Jia W; Cui T; Wang R; Zhang Y-F; He X, 2021, What's Wrong with the Bottom-up Methods in Arbitrary-shape Scene Text
Detection, http://arxiv.org/abs/2108.01809v2
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.
