Multimodal Information-Assisted Visual Recognition or Generation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 118
Special Issue Editors
Interests: computer vision; multimodal information fusion
Interests: artificial intelligence; artificial intelligence oceanography
Special Issues, Collections and Topics in MDPI journals
Interests: big data processing; software engineering; federal learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multimodal information has been widely applied in various real-world computer vision applications, such as human–computer interaction, healthcare (including disease diagnosis), autonomous vehicles, and emotion recognition, and trending techniques have been successfully applied to solve these problems. This Special Issue aims to collect cutting-edge research at the intersection of computer science and multimodal information processing, and explores advancements in visual recognition and generation. From large-model-guided vision interpretation to diffusion-model-based image and video generation, we aim to leverage cutting-edge technologies to address the challenges present in these research fields.
Dr. Wenjuan Gong
Prof. Dr. Guoqiang Zhong
Prof. Dr. Weishan Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- computer vision
- multimodal information fusion
- large-model-guided visual interpretation
- GAN and diffusion-model-based visual generation
- federated multimodal learning for computer vision
- quantum multimodal algorithms for computer vision
