教授,博士生导师, clwen@xmu.edu.cn
Chenglu wen, Professor
人工智能系教授,博士生导师,福建省智慧城市感知与计算重点实验室副主任。主要从事三维场景感知与理解、激光雷达点云智能处理、三维视觉方面的研究。
主持国家自然科学基金项目三项等国家级项目。在ICCV/CVPR/AAAI/IJCAI等人工智能国际会议,和IEEE TGRS/TITS、PR等期刊上发表论文80余篇。授权发明专利10余项。获得ISPRS Otto von Gruber奖(2022,www.isprs.org/society/awards/gruber.aspx),福建省高等教育教学成果奖特等奖(2022),福建省科技进步奖二等奖(2021),中国激光雷达青年科技奖(2020),第十五届福建省自然科学优秀学术论文奖二等奖。担任IEEE Transactions on Intelligent Transportation Systems,IEEE Geoscience and Remote Sensing Letters期刊副主编,国际摄影测量与遥感学会ISPRS I/2移动测图技术工作组联合主席。为IEEE高级会员,CCF高级会员,CCF智能汽车分会执行委员,福建省人工智能学会理事,CSIG三维视觉专委会委员,CNISDE激光雷达专委会委员等。
主持的科研项目
国家自然科学基金项目,面向城市动态场景三维感知的点云序列弱监督学习,2022-2025
国家自然科学基金项目,联合可测点云/多视角图像的大规模对象标记数据集生成,2018-2021
国家自然科学基金项目,室内移动三维测图点云数据的多元质量评价与修补,2015-2017
国家重点研发计划青年科学家项目,多平台多模态点云大数据智能处理关键技术与软件(任务),2022-2024
Dr. Chenglu Wen is a Professor of the Department of Artificial Intelligence at XMU. She was the deputy director of the Department of Artificial Intelligence. She is mainly engaged in the research of 3D scene perception and understanding, LiDAR point cloud processing, and 3D vision. She has been granted 3 National Natural Science Foundation of China projects. She has published over 80 papers and authorized over ten invention patents. She received the 2022 ISPRS Otto von Gruber Award (www.isprs.org/society/awards/gruber.aspx), 2020 China LiDAR Youth Science and Technology Award, and Best Paper of the 2017 International Mobile Mapping Technology Conference.
She serves as the Associate Editor of IEEE Trans. Intelligent Transportation Systems, and IEEE Geoscience and Remote Sensing Letters. She is also the co-chair of ISPRS working group I/2 Mobile Mapping Technology (2022-2026).
Projects (PI)
Young Scientists Project of the National Key R&D Program (task), multi-platform multi-modal point cloud big data processing, 2022-2024
Natural Science Foundation of China (NSFC), sequential point cloud learning in an urban dynamic scene, 2022-2025
NSFC, large-scale labeling dataset generation with point clouds and multi-view images, 2018-2021
NSFC, multi-dimensional quality assessment and repairing of indoor mobile mapping point cloud, 2015-2017
News
07/2023, one paper is accepted to ICCV 2023
02/2023, four papers are accepted to CVPR 2023
11/2022, our VirConv-S method ranks No.1(car) on the KITTI 2D, 3D and BEV detection leaderboard
11/2022, our VirConvTrack ranks No.1(car) on the KITTI tracking leaderboard
11/2022, our 3D object detection paper TED is accepted to AAAI 2023
09/2022, our CasTrack ranks No.1(car) on the KITTI tracking leaderboard
06/2022, receive ISPRS Otto von Gruber Award
05/2022, our TED method ranks No.1(car) on the KITTI 3D detection leaderboard (until 11/2022)
05/2022, our CasA++ method ranks No.1(ped. and cyc.)/No.2(car) on the KITTI 3D detection leaderboard
03/2022, two Lidar motion capture papers are accepted to CVPR 2022
08/2021, receive a new research funding from NSFC
04/2021, two papers are accepted to IJCAI 2021
01/2021, our PC-TCNN ranks No.1(car) on the KITTI tracking leaderboard
11/2020, I receive CNISDE Lidar Youth Science and Technology Award
06/2020, our paper “road scene labeling” reaches ESI highly cited paper
11/2019, our paper “Point2Node” is accepted to AAAI 2020 as Oral Presentation
03/2019, I serve as an associate editor of IEEE Transactions on Intelligent Transportation Systems
02/2019, two papers are accepted to CVPR 2019