Computational Intelligence, Computer Vision and Pattern Recognition

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 82

Special Issue Editor


E-Mail Website
Guest Editor
1. School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
2. Guangdong Province Key Laboratory of Information Security Technology, Guangzhou, China
3. Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Beijing, China
Interests: computer vision; 3D human video prediction and generation; multimodal video understanding; multimodal large models; ocean large models; trajectory prediction

Special Issue Information

Dear Colleagues,

This Special Issue titled “Computational Intelligence, Computer Vision and Pattern Recognition” aims to provide a comprehensive overview of the latest research and innovations in the application of computer vision and pattern recognition techniques. It seeks to highlight how these technologies are being used to address real-world challenges across various domains such as healthcare, autonomous systems, security, and robotics. We invite authors to submit original research that explores both theoretical advancements and practical applications, with a focus on areas such as image and video analysis, object detection, recognition systems, deep learning methods, and multimodal learning. The goal of this Special Issue is to offer a platform for researchers to present novel solutions, discuss emerging trends, and showcase the transformative potential of computer vision and pattern recognition in solving complex, real-world problems.

Dr. Jian-Fang Hu
Guest Editor

Manuscript Submission Information

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Keywords

  • computer vision
  • pattern recognition
  • deep learning
  • image analysis
  • object detection
  • recognition systems
  • multimodal learning
  • video analysis

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Published Papers

This special issue is now open for submission.
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