AI-Driven Computer Vision: Foundation Models, Multimodal Fusion, and Real-World Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 July 2026
Special Issue Editor
Interests: applied AI; computer vision; multimodal learning; foundation models; ADAS; autonomous systems; systems engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of computer vision is undergoing a transformative phase with the rise in AI-driven methodologies, including foundation models and multimodal approaches. These advances are enabling machines to perceive, reason, and act across a variety of real-world scenarios from autonomous systems and robotics to healthcare, retail, and smart cities. This Special Issue aims to provide a platform for researchers and practitioners to present innovative methods, applications, and insights into AI-powered computer vision systems.
We invite contributions that advance the theory, design, and deployment of AI-driven computer vision systems, including, but not limited to, the following:
- Foundation Models for Vision:
- Vision transformers, large-scale pre-trained models, and self-supervised learning;
- Cross-domain and few-shot learning for vision tasks;
- Scalability, generalization, and robustness of foundation models.
- Multimodal Fusion:
- Integration of visual data with text, audio, LiDAR, radar, or sensor signals;
- Cross-modal representation learning and alignment;
- Applications in autonomous systems, robotics, and augmented reality.
- Real-World Applications:
- Autonomous driving and Advanced Driver Assistance Systems (ADASs);
- Surveillance, security, and anomaly detection;
- Healthcare imaging, industrial inspection, and agriculture;
- Human–computer interaction and immersive environments.
- System Design and Deployment:
- Efficient model deployment on edge devices or cloud infrastructure;
- Real-time processing and optimization;
- Ethical, explainable, and trustworthy AI in vision systems.
Dr. Vijay Kakani
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- AI-driven computer vision
- foundation models
- multimodal fusion
- applied deep learning
- real-world applications
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
