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About ICMCV 2027

The 2027 International Conference on Multimodal and Computer Vision (ICMCV 2027) will be held in Chongqing, China in February 2027. ICMCV 2027 focuses on the in-depth integration and innovation of multimodal technologies and computer vision. The call for papers covers four tracks: Multimodal Imaging and Sensing Technology, Core Algorithms of Computer Vision, Multimodal Fusion and Intelligent Computing, and Engineering Applications of Vision and Multimodal Technologies.


The conference sincerely invites experts, scholars and industry practitioners from relevant fields worldwide to submit their contributions, and share cutting-edge research outcomes as well as hands-on application experience. It aims to build a cross-disciplinary platform for collaborative innovation, accelerate scientific breakthroughs and industrial empowerment of multimodal and computer vision technologies, and jointly open up a new chapter for the development of the intelligent vision industry.
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Important Dates

Full Paper

Submission Date

December

12

2026

Notification of 

Acceptance Date

January

12

2027

Final Paper

Submission Date

January

27

2027

Registration

Date

February

11

2027

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Countdown to the Conference:

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Conference Topics

The topics of interest for submission include, but are not limited to:

📚︎ Multimodal Fusion and Core Visual Algorithms

Optical cross-modal feature fusion technology for photoelectric imaging data, Optical multimodal semantic alignment and consistent representation of spectral and visual images, Research and optimization of optical perception-based multimodal large visual models, Optical image cross-modal retrieval, matching and feature registration for multi-source photoelectric sensing, Optical multimodal reasoning, decision-making and scene cognition based on imaging perception, Generative multimodal visual technology for optical image reconstruction and restoration, Robustness research of optical multimodal vision against imaging noise and optical interference, Data augmentation and sample enhancement for optical multimodal imaging datasets, Optical visual feature extraction, representation and adaptive learning for imaging tasks, Optimization, lightweighting, and engineering deployment of large optical visual models

📚︎ Computer Vision and Intelligent Image/Video Processing

High-precision object detection and intelligent target tracking, Image semantic segmentation, instance segmentation and edge perception, Complex scene understanding, visual reasoning and scene reconstruction, 3D point cloud processing, spatial perception and stereo vision reconstruction, Few-shot, zero-shot and small-sample visual learning algorithms, Visual anomaly detection, defect identification and abnormal analysis, Low-quality image restoration, denoising and visual enhancement, Video sequence analysis, motion estimation and intelligent video processing, Optical image feature matching, registration and cross-scale analysis, Visual model generalization and adaptive optimization for complex scenarios

📚︎ Multimodal Imaging and Optical Sensing Technology

Multispectral imaging technology and spectral feature analysis, Hyperspectral imaging, spectral decomposition and information mining, Infrared thermal imaging detection and temperature field visualization, 3D optical imaging, stereo reconstruction and computational photography, Computational optics imaging and intelligent optical calculation methods, Optical sensing system design, calibration and signal optimization, Biomedical optical imaging and microscopic visual detection technology, Remote sensing imaging interpretation and multi-source spectral fusion analysis, Multi-modal sensor fusion and photoelectric signal processing, Low-light, haze and low-quality optical imaging optimization

📚︎ Multimodal Visual Intelligent Applications

Industrial visual inspection, surface defect detection and quality evaluation, Autonomous driving visual perception and multi-sensor fusion sensing, Intelligent security monitoring, abnormal behavior analysis and early warning, Medical image analysis, lesion detection and intelligent assisted diagnosis, Robot visual navigation, spatial positioning and intelligent obstacle avoidance, Digital twin visual modeling, reconstruction and scene visualization, Intelligent traffic visual monitoring and real-time road condition perception, Multi-modal visual analysis for environmental monitoring and resource assessment, Intelligent visual system design and engineering application deployment, Cross-domain application and innovation of multimodal vision technology

Publication

Publication

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All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus  for indexing. After a careful reviewing process, all accepted papers will be published inSPIE (ISSN: 0277-786X) and will be submitted to EI Compendex, Scopus for indexing. All submissions will be checked for reference authenticity. Please ensure each reference is verifiable via its DOI or a working link.

Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.

Supported by

Supporter

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