{"id":8082,"date":"2026-08-25T02:53:02","date_gmt":"2026-08-25T02:53:02","guid":{"rendered":"https:\/\/iccies.tdtu.edu.vn\/2027\/?page_id=8082"},"modified":"2026-08-26T04:05:06","modified_gmt":"2026-08-26T04:05:06","slug":"computer-vision-and-intelligent-systems","status":"publish","type":"page","link":"https:\/\/iccies.tdtu.edu.vn\/2027\/computer-vision-and-intelligent-systems\/","title":{"rendered":"Computer Vision and Intelligent systems"},"content":{"rendered":"\n

Computer Vision and Intelligent systems – CVIS<\/h2>\n\n\n\n

I. Objectives<\/strong><\/h3>\n\n\n\n

The Computer Vision and Intelligent Systems (CVIS) session aims to provide an international forum for researchers, academics, and practitioners to present and discuss recent advances in computer vision, artificial intelligence, and intelligent systems. The session welcomes both theoretical and application-oriented research addressing fundamental challenges in visual perception, representation, recognition, understanding, and intelligent decision-making.<\/p>\n\n\n\n

The session particularly encourages contributions on deep learning and foundation models for vision, image and video analysis, object detection and segmentation, human activity and behavior understanding, vision transformers, multimodal learning, explainable and trustworthy AI, and efficient computer vision for real-time and edge applications. Applications in healthcare, intelligent transportation, smart cities, agriculture, education, surveillance, and other emerging domains are also of interest. <\/p>\n\n\n\n

CVIS seeks to foster interdisciplinary and international collaboration by bringing together researchers working on novel algorithms, architectures, datasets, evaluation methodologies, and practical intelligent vision systems. Both emerging research directions and innovative real-world applications are welcome, providing opportunities for knowledge exchange and discussion of future challenges in computer vision and intelligent systems.<\/p>\n\n\n\n

II. Scope<\/h3>\n\n\n\n