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:
June 15, 2024
◆ Notification of Review Result
of Papers from Track: June 30, 2024
◆
Registration Deadline: July 05, 2024