Special Session 1: Intelligent Vision and Data-Driven Systems
This
session explores the
latest advancements in image and video processing, computer vision,
and pattern recognition, leveraging machine learning and deep
learning techniques. It highlights innovative AI tools and
applications that bridge theory and practice, from intelligent
automation to real-world decision-making systems. The track also
welcomes contributions in robotics and computer-integrated
manufacturing, computer-aided diagnosis showcasing how visual
perception and data-driven intelligence enhance autonomous systems.
In addition, it covers statistical and computational approaches
applied to chemical fragments, demonstrating the cross-disciplinary
power of data science in materials discovery and chemical
informatics. The goal is to provide a platform for researchers,
engineers, and practitioners to share methods, models, and
applications that push the boundaries of AI-enabled perception and
intelligent systems.
Re:
● A title for the special
session, the names and contact information of the organizers;
● A brief description of the session (within 300 words);
● Brief biographies of the session organizer(s) and their contact
information;
● 5-6 tentative papers with title, authors and short abstract.
Special session proposals will be evaluated based on the timeliness of the topic, its uniqueness, and qualifications of the proposers. Accepted special sessions will be listed on the ICCAI 2026 website. To avoid multiple special sessions covering similar topics, it is likely that an accepted proposal will be combined with similar proposals. Organizers should not contribute more than one paper for the special session.
Key Dates
● Deadline for Special Session Proposals
submission: December
25,
2025
● Notification of acceptance of the
proposal: December 30, 2025
● Submission of papers for Special
Sessions: January 05, 2026
● Notification of papers
acceptance: January 25, 2026
● Deadline for camera-ready papers: February
15, 2026
The papers should be formatted following the submissionn instructions. They should be submitted through the regular online submission system and will undergo the same peer-review process as regular papers. Proponents of special sessions are invited to submit their proposals in pdf attached to an email to the address: iccai@vip.163.com, with the Subject line: ‘Special Session Proposal’.
We are looking forward to your proposals!