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科研团队
程明
教授，博士生导师
chm99@xmu.edu.cn

现为厦门大学计算机科学与技术系教授，博士生导师。

主要从事点云数据处理、遥感图像处理等方面的研究。主持和参加了高分对地观测重大专项项目，“863”项目，预研项目，国家部委项目子课题，以及多个横向项目。发表论文70余篇。
研究方向 Research
点云数据处理
移动激光扫描系统研发，点云数据配准、补全、目标识别、语义标记，基于点云的无人驾驶车辆定位等。
遥感图像智能解译
基于高分辨率光学、SAR等多模遥感影像，研究各类高价值机动和静态目标的检测问题，研究目标的潜在区域引导技术，研究目标特性提取方法，研究复杂背景、尺度变化、类别不平衡等条件下的鲁棒目标检测问题。
发表的数据集 Datasets 部分论文列表 Selected Publications
2024
Youliang Chu , Ming Cheng*, Zhiyang Lu , Zhentao Xiong, and Cheng Wang
Multilevel Interactive Enhanced Network for Infrared Small-Target Detection
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
bibtex
@article{chu2024multilevel, title={Multilevel Interactive Enhanced Network for Infrared Small Target Detection}, author={Chu, Youliang and Cheng, Ming and Lu, Zhiyang and Xiong, Zhentao and Wang, Cheng}, journal={IEEE Geoscience and Remote Sensing Letters}, year={2024}, publisher={IEEE} }
Zhimin Yuan, Wankang Zeng, Yanfei Su, Weiquan Liu, Ming Cheng*, Yulan Guo, Cheng Wang
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
Conference on Computer Vision and Pattern Recognition (CVPR) 2024
bibtex
@inproceedings{ anonymous2024densityguided, title={Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds}, author={Zhimin Yuan, Wankang Zeng, Yanfei Su, Weiquan Liu, Ming Cheng*, Yulan Guo, Cheng Wang }, booktitle={Conference on Computer Vision and Pattern Recognition 2024}, year={2024}, }
Wankang Zeng, Ming Cheng*, Zhimin Yuan, Wei Dai, Youming Wu, Weiquan Liu, Cheng Wang
Domain adaptive remote sensing image semantic segmentation with prototype guidance
Neurocomputing
bibtex
@article{zeng2024domain, title={Domain adaptive remote sensing image semantic segmentation with prototype guidance}, author={Zeng, Wankang and Cheng, Ming and Yuan, Zhimin and Dai, Wei and Wu, Youming and Liu, Weiquan and Wang, Cheng}, journal={Neurocomputing}, pages={127484}, year={2024}, publisher={Elsevier} }
2023
Yanfei Su , Ming Cheng*, Zhimin Yuan , Weiquan Liu , Wankang Zeng, and Cheng Wang
Multistage Scene-Level Constraints for Large-Scale Point Cloud Weakly Supervised Semantic Segmentation
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
bibtex
@article{su2023multi, title={Multi-stage Scene-level Constraints for Large-scale Point Cloud Weakly Supervised Semantic Segmentation}, author={Su, Yanfei and Cheng, Ming and Yuan, Zhimin and Liu, Weiquan and Zeng, Wankang and Wang, Cheng}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2023}, publisher={IEEE} }
Yanfei Su, Ming Cheng*, Zhimin Yuan , Weiquan Liu , Wankang Zeng, Zhihong Zhang , and Cheng Wang
Spatial Adaptive Fusion Consistency Contrastive Constraint: Weakly Supervised Building Facade Point Cloud Semantic Segmentation
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
bibtex
@article{su2023spatial, title={Spatial adaptive fusion consistency contrastive constraint: weakly supervised building facade point cloud semantic segmentation}, author={Su, Yanfei and Cheng, Ming and Yuan, Zhimin and Liu, Weiquan and Zeng, Wankang and Zhang, Zhihong and Wang, Cheng}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2023}, publisher={IEEE} }
Ruijie Xiao, Chuan Zhong, Wankang Zeng, Ming Cheng*, and Cheng Wang
Novel Convolutions for Semantic Segmentation of Remote Sensing Images
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
bibtex
@article{xiao2023novel, title={Novel Convolutions for Semantic Segmentation of Remote Sensing Images}, author={Xiao, Ruijie and Zhong, Chuan and Zeng, Wankang and Cheng, Ming and Wang, Cheng}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2023}, publisher={IEEE} }
Zhimin Yuan, Ming Cheng*, Wankang Zeng, Yanfei Su, Weiquan Liu, Shangshu Yu, and Cheng Wang
Prototype-Guided Multitask Adversarial Network for Cross-Domain LiDAR Point Clouds Semantic Segmentation
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
bibtex
@article{yuan2023prototype, title={Prototype-guided Multi-task Adversarial Network for Cross-domain LiDAR Point Clouds Semantic Segmentation}, author={Yuan, Zhimin and Cheng, Ming and Zeng, Wankang and Su, Yanfei and Liu, Weiquan and Yu, Shangshu and Wang, Cheng}, journal={IEEE Transactions on Geoscience and Remote Sensing}, year={2023}, publisher={IEEE} }
Zhimin Yuan, Chenglu Wen, Ming Cheng*, Yanfei Su, Weiquan Liu, Shangshu Yu, and Cheng Wang
Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
bibtex
@article{yuan2022category, title={Category-Level Adversaries for Outdoor LiDAR Point Clouds Cross-Domain Semantic Segmentation}, author={Yuan, Zhimin and Wen, Chenglu and Cheng, Ming and Su, Yanfei and Liu, Weiquan and Yu, Shangshu and Wang, Cheng}, journal={IEEE Transactions on Intelligent Transportation Systems}, year={2023}, publisher={IEEE} }
2022
Liangwei Shi, Zhimin Yuan, Ming Cheng*, Yiping Chen , and Cheng Wang
DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds
IEEE Transactions on Geoscience and Remote Sensing
bibtex
@article{shi2022dfan, title={DFAN: Dual-Branch Feature Alignment Network for Domain Adaptation on Point Clouds}, author={Shi, Liangwei and Yuan, Zhimin and Cheng, Ming and Chen, Yiping and Wang, Cheng}, journal={IEEE Transactions on Geoscience and Remote Sensing}, volume={60}, pages={1--12}, year={2022}, publisher={IEEE} }
Y Su, W Liu, Z Yuan, M Cheng*, Z Zhang, X Shen, C Wang
DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds
Pattern Recognition
2021
Y Su, W Liu, M Cheng*, Z Yuan, C Wang
Local Fusion Attention Network for Semantic Segmentation of Building Facade Point Clouds
IEEE Geoscience and Remote Sensing Letters
Shangbin Wu, Xiaoliang Fan*, Longbiao Chen, Ming Cheng, Cheng Wang
Predicting the spread of COVID-19 in China with human mobility data
Proceedings of the 29th International Conference on Advances in Geographic Information Systems
M Cheng, G Li, Y Chen*, J Chen, C Wang, J Li
Dense Point Cloud Completion Based on Generative Adversarial Network
IEEE Transactions on Geoscience and Remote Sensing
S Yu, C Wang*, Z Yu, X Li, M Cheng, Y Zang
Deep regression for LiDAR-based localization in dense urban areas
ISPRS Journal of Photogrammetry and Remote Sensing
L Lin, W Zhang, M Cheng*, C Wen, C Wang
Planar Primitive Group-Based Point Cloud Registration for Autonomous Vehicle Localization in Underground Parking Lots
IEEE Geoscience and Remote Sensing Letters
2020
S Wang, G Cai*, M Cheng, JM Junior, S Huang, Z Wang, S Su, J Li
Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints
ISPRS Journal of Photogrammetry and Remote Sensing
G Li, Y Chen*, M Cheng, C Wang, J Li
N-DPC: Dense 3D Point Cloud Completion Based on Improved Multi-Stage Network
Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition
2019
C Wang, M Cheng*, F Sohel, M Bennamoun, J Li
NormalNet: A voxel-based CNN for 3D object classification and retrieval
Neurocomputing
Q Fan, F Chen*, M Cheng, S Lou, R Xiao, B Zhang, C Wang, J Li
Ship detection using a fully convolutional network with compact polarimetric SAR images
Remote Sensing
Q Li, S Chen, C Wang*, X Li, C Wen, M Cheng, J Li
Lo-net: Deep real-time lidar odometry
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2018
Chao Chen, Xiaoliang Fan*, Chuanpan Zheng, Lujing Xiao, Ming Cheng, Cheng Wang
Sdcae: Stack denoising convolutional autoencoder model for accident risk prediction via traffic big data
2018 Sixth International Conference on Advanced Cloud and Big Data (CBD)
Qiancong Fan, Feng Chen*, Ming Cheng, Cheng Wang, Jonathan Li
A modified framework for ship detection from compact polarization SAR image
IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium
2017
D Zai, J Li*, Y Guo, M Cheng, P Huang, X Cao, C Wang
Pairwise registration of TLS point clouds using covariance descriptors and a non-cooperative game
ISPRS Journal of Photogrammetry and Remote Sensing
X Zou, M Cheng*, C Wang, Y Xia, J Li
Tree classification in complex forest point clouds based on deep learning
IEEE Geoscience and Remote Sensing Letters
D Zai, J Li*, Y Guo, M Cheng, Y Lin, H Luo, C Wang
3-D road boundary extraction from mobile laser scanning data via supervoxels and graph cuts
IEEE Transactions on Intelligent Transportation Systems
P Huang, M Cheng*, Y Chen, D Zai, C Wang, J Li*
Solar potential analysis method using terrestrial laser scanning point clouds
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
P Huang, M Cheng*, Y Chen, H Luo, C Wang, J Li*
Traffic sign occlusion detection using mobile laser scanning point clouds
IEEE Transactions on Intelligent Transportation Systems
2016
L Cao, Q Jiang, M Cheng*, C Wang
Robust vehicle detection by combining deep features with exemplar classification
Neurocomputing
M Cheng, H Zhang, C Wang, J Li*
Extraction and classification of road markings using mobile laser scanning point clouds
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
F Huang, C Wen*, H Luo, M Cheng, C Wang, J Li
Local quality assessment of point clouds for indoor mobile mapping
Neurocomputing
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