CVML 2026
2026 2nd International Conference on Computer Vision and Machine Learning
September 18-20, 2026 Nanchang·China aoagpublish@outlook.com
2026 2nd International Conference on Computer Vision and Machine Learning
September 18-20, 2026 Nanchang·China aoagpublish@outlook.com
CVML 2026 Workshop on 3D Vision Perception for Autonomous Driving
About CVML 2026 Workshop
We are delighted to invite you to the CVML 2026 Workshop on 3D Vision Perception for Autonomous Driving, to be held on September 18, 2026 (the first day of the main conference) in Nanchang, China, as a key satellite event of the Second International Conference on Computer Vision and Machine Learning (CVML 2026).
This workshop focuses on cutting-edge topics including LiDAR point cloud analysis, binocular/multi-view stereo matching, depth estimation, dynamic scene understanding, and multi-sensor fusion. It aims to provide a vibrant platform for researchers and engineers to exchange ideas, tackle the perception challenges inherent in complex traffic environments, and accelerate the real‑world deployment of high‑level autonomous driving systems.
Topics of Interest (including but not limited to)
⭐Deep learning‑based point cloud segmentation, detection, and tracking
⭐Monocular/binocular depth estimation and dense 3D reconstruction
⭐ Multi‑sensor (camera, LiDAR, radar) fusion for perception
⭐Dynamic object behavior prediction and interaction modeling
⭐Lightweight 3D perception models and edge computing
⭐ Domain adaptation from simulation to real‑world scenarios
⭐ Autonomous driving datasets and benchmarking
⭐ Visual representation learning for end‑to‑end autonomous driving
Important Dates
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Submission Due | Notification of Acceptance Due | Registration Deadline | Conference Date |
Venue
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The workshop will take place at Jiangxi Normal University. Address: No. 99 Ziyang Avenue, Nanchang, Jiangxi 330022, China. | |
Invited Speakers
Wenle Wang – Associate Professor, Member of CCF
Title: to be updated
Abstract: to be updated
Bio: Dr. Wang Wenle is an Associate Professor and Master’s Supervisor at the School of Artificial Intelligence, Jiangxi Normal University. He is a member of the China Computer Federation (CCF) and serves as a reviewer for multiple international conferences and journals. His research interests primarily encompass real‑time system scheduling and resource management, big data, and artificial intelligence. Over the past few years, he has participated in two national‑level research projects and has led or contributed to four provincial‑ and ministerial‑level projects. He has published over ten papers in academic venues. Beyond academia, Dr. Wang is actively engaged in industry practice, with substantial experience in digital transformation consulting and assessment, as well as in the development and implementation of information system projects.
Yingkui Du – Professor
Title: to be updated
Abstract: to be updated
Bio: Professor Du Yingkui holds a Ph.D. degree and currently serves as the Director of the Nanchang Key Laboratory of Blindness Prevention Technology and Equipment R&D. He also holds several adjunct positions, including Secretary‑General of the Data Elements and Blockchain Special Committee of the Jiangxi Internet Association, Member of the Science Popularization Committee of the Chinese Association for Artificial Intelligence, Member of the Intelligent Medicine Professional Committee of the Chinese Medical Education Association, and a reviewer for the National Natural Science Foundation of China. Over the past years, he has led or participated in more than 20 national, provincial, and municipal research projects, covering programs such as the National Science and Technology Special Project, the 973 Program, the 863 Program, key projects of the National Natural Science Foundation of China (NSFC), general NSFC projects, NSFC Youth Science Foundation projects, major projects of the Chinese Academy of Sciences, and the Liaoning Provincial Key R&D Program. He serves as a reviewer for international journals including IEEE Transactions on Cybernetics. He has been granted over 30 invention and utility model patents, and has published more than 50 academic papers.
Workshop Organizing Committee
General Chairs | Yingkui Du (Jiangxi Normal University) |
Jihua Zhu (Xi'an Jiaotong University) | |
Program Committee Chairs | Yali Peng (Jiangxi Normal University) |
Jianmao Xiao (Jiangxi Normal University) |
Paper Submission
All submissions must be made through the Microsoft CMT system (shared with the main conference; please select the track “Workshop on 3D Vision Perception” when submitting).
Submission link: [https://cmt3.research.microsoft.com/CVML2026]
Accepted and registered papers will be published in the CVML 2026 conference proceedings alongside main‑conference papers, by SPIE, and will be submitted for indexing in EI Compendex and Scopus.
Contact
If you have any question, please contact us at aoagpublish@outlook.com.Phone: +86 13030501700 (Dr. Zhong)
Organizer
Sponsor
About CVML 2026
CVML 2026 is the second edition of the International Conference on Computer Vision and Machine Learning, hosted by Jiangxi Normal University and co‑organized by Xi’an Jiaotong University and Jiangxi University of Science and Technology. The main conference will take place from September 18–20, 2026 in Nanchang, covering a broad range of topics including 3D vision reconstruction, autonomous driving, biometrics, and more, with the goal of advancing intelligent society. As a core satellite event, this workshop offers an in‑depth forum dedicated to 3D perception for autonomous driving.