程明教授，博士生导师详情

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。

部分论文列表 Selected Publications

2024

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

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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

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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

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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

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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

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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

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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

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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

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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