Track 4

This conference track aims to bring together researchers and experts from various fields to explore the latest advancements and applications in computer vision technologies. Computer vision is a rapidly growing field that uses algorithms and mathematical models to analyse, interpret and understand images and videos captured from various sources, such as cameras, drones, and satellites. The primary focus is on the practical applications of computer vision or vision systems, such as surveillance systems, autonomous vehicles, robotics, medical imaging, and augmented reality.

Track Chair:
     Keren Fu, Sichuan University, China

Track Technical Committee:
     Chao Zhang, Sichuan Police College, China
     Fuming Sun, Dalian Minzu University, China
     Jizhe Zhou, Sichuan University, China
     Tao Zhou, Nanjing University of Science and Technology, China
     Xiao Yang, Sichuan University, China
     Yingjie Zhou, Sichuan University, China
     Yipeng Liu, University of Electronic Science and Technology of China, China
     Yun Gu, Shanghai Jiao Tong University, China
     Jiucheng Xie, Nanjing University of Posts and Telecommunications, China

The track covers a wide range of topics, including but not limited to:

    ◆ Segmentation, Grouping, and Shape
    ◆ Vision + Language, Vision + Other Modalities
    ◆ Video Analysis and Understanding
    ◆ Vision Applications and Systems
    ◆ Vision for Robotics and Autonomous Vehicles
    ◆ Visual Reasoning and Logical Representation

Submission Guidelines

Please submit your manuscript via Electronic Submission System (account is needed). (Please choose the track number when you make the submission.)

Important Dates

    ◆ Submission of Full Papers: Jan. 25, 2026
    ◆ Notification of Review Result of Papers from Track: Feb. 15, 2026
    ◆ Registration Deadline: Mar. 25, 2025