Special Session 7: Stereo Vision, 3D Perception, and Scene Understanding
This session focuses on the forefront and interdisciplinary aspects of stereo vision and 3D perception, covering advancements from traditional geometric methods to deep learning approaches. It is highly interdisciplinary and application-oriented. Stereo vision and 3D perception are not only fundamental issues in vision research but also key technologies for enabling environmental perception in intelligent systems. Despite rapid development, the field still faces challenges such as robustness in complex scenes, real-time performance, and accuracy trade-offs. This session will provide a platform to showcase the latest achievements, encourage idea exchange, and drive the field toward deeper development.
Related topics:
• Stereo Matching and Depth Estimation
• 3D Reconstruction and Modeling
• Point Cloud Processing and Analysis
• Scene Understanding and Semantic Segmentation
• Visual SLAM and Localization
• Autonomous Driving and Robot Vision
The manuscript should be submitted via the submission link (http://www.easychair.org/conferences/?conf=icsip2026), or to icsip2016@vip.163.com before the submission deadline (February 5, 2026).
Special Session Chairs:
Prof. Qian Long, Tianjing University of Science and Technology, China
Qian Long is a Professor and Doctoral Supervisor at Tianjin University of Science and Technology, and a leading talent in Tianjin. He has been selected for the CAS Wang Kuan-Cheng Leading Talent Program for Industry-Research Integration and the Yunnan Yunling High-Level Talent Program, among others. He has long been engaged in research in artificial intelligence and currently leads the Computer Vision and Autonomous Driving team at the School of Artificial Intelligence. His research achievements in stereo vision have been industrialized and awarded the Toyota Research Prize (Japan) and the Second Prize of the Technological Invention Award from the Chinese Association of Automation. The related applications have been selected as an outstanding case of achievement transformation by the China Association for Science and Technology.