Special Session-4

ICMLC 2027 will be held in Shenzhen, China on February 26-March 01, 2027. The ICMLC 2027 organizing committees invite you to submit the papers to special session. Each special session will be arranged for around 2 hours on Feb. 27 or 28's afternoon. Now the information on special session as following:



Topic: Machine Learning for 3D Perception and Spatial Understanding

Organizers | 组织者




Assoc. Prof. Yang Li
Nanjing University, China | 南京大学



















 

3D perception is fundamental for intelligent systems operating in the physical world. While deep learning has revolutionized computer vision, extending machine intelligence to robust spatial understanding remains challenging, particularly for omnidirectional and multi-camera setups that introduce spherical distortion, viewpoint discrepancies, and semantic ambiguity.
This special session invites contributions at the intersection of machine learning and 3D perception, covering the full pipeline from geometric reasoning to semantic scene understanding. Topics include depth estimation, multi-view stereo, 3D reconstruction, semantic occupancy prediction, and sensor fusion. We particularly encourage work addressing real-world challenges such as generalization across camera configurations, robustness to adverse conditions, and efficient deployment on embedded platforms.
By bridging theoretical machine learning with high-impact applications in autonomous driving, robotics, and AR/VR, this session aligns closely with ICMLC's core tracks and aims to advance the state of the art in how machines learn to perceive and understand 3D space.


The scopes as following:
• Stereo Matching and Multi-View 3D Reconstruction
• Semantic Scene Understanding
• Advanced Learning Paradigms for 3D Perception
• System Integration and Real-World Deployment






Welcome to submit more proposal on ICMLC 2027 special session, please download:
 Proposals Submission Guidelines.

Learn more details or submit the proposal, please contact us:
Ms. Doris Ge
Email: icmlc@vip.126.com
Tel: +86-13709044746

 

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