TRACK 1: Computer Vision and Recognition


Computer vision is a rapidly advancing field of artificial intelligence that enables computer systems to interpret and understand visual information from the environment. Recent breakthroughs in deep learning, image processing, and hardware have driven significant advancements in computer vision and recognition technology. Today, computer vision and recognition are widely used in various fields, including automotive driving, manufacturing, healthcare, robotics, media, fashion, and security. This conference track aims to bring together researchers, practitioners, and industry experts to discuss the latest trends, techniques, and challenges in computer vision and recognition. Attendees will have the opportunity to explore cutting-edge research, share best practices, and collaborate on new ideas and solutions for advancing the field.

Track Chairs:
     Prof. Hongtao Lu, Shanghai Jiao Tong University, China
     Prof. Yuchun Fang, Shanghai University, China

Track Program Chairs:
     Assoc. Prof. Fei Jiang, East China Normal University, China

Track Technical Committee:
     Asst. Prof. Tamam Alsarhan, Applied Science Private University, Jordan
     Asst. Prof. Yue Ding, Shanghai Jiao Tong University
     Assoc. Prof. Haiyan Li, Kashi University, India
     Assoc. Prof. Hongbin Yu, Jiangnan University, China

Topics of interest include, but are not limited to:

    ◆ Image and Video Classification
    ◆ Object Detection and Tracking
    ◆ Semantic Segmentation
    ◆ Content-based Image Retrieval
    ◆ Facial Recognition
    ◆ 3D Reconstructions
    ◆ Action Recognition

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: February 20, 2024
    ◆ Notification of Review Result of Papers from Track: March 20, 2024
    ◆ Registration Deadline: March 30, 2024