SPECIAL session 03

Chair:
Wenhui Jiang, Jiangxi University of Finance and Economics, China
Contact Email: wenhui@jxufe.edu.cn

Submission Link: http://www.easychair.org/conferences/?conf=icivc2026 (Select Track Special Session 3)

Introduction:

This session focuses on multi-modal data analysis, exploring how to break single-modal data limitations and boost intelligent system performance. Topics of interest include, but are not limited to: novel architectures for multi-modal learning, advanced approaches for multi-modal tasks, visual-inertial positioning, visual-acoustic event detection, visual-temperature industrial inspection, multi-modal data registration & alignment, advanced large language models for multi-modal learning, and real-world applications of multi-modal learning.

We invite papers on model theory and technology, complex-environment robustness, and industry applications. Discussions will center on technological innovation and practical implementation, welcoming submissions of innovative frameworks, case studies, and challenge solutions.

Topics:

Novel architectures for multi-modal learning
Advanced approaches for multi-modal tasks
Visual-inertial sensor data fusion for positioning
Visual-acoustic data fusion for event detection
Visual-temperature sensor fusion for industrial inspection
Multi-modal data registration & alignment
Advanced large language models for multi-modal learning
Real-world applications of multi-modal learning