Workshop 45: Computer Vision in Industry: Opportunities, Solutions and ChallengesTitle: Computer Vision in Industry: opportunities, solutions and challenges
Workshop 45: Computer Vision in Industry: Opportunities, Solutions and Challenges
Title: Computer Vision in Industry: opportunities, solutions and challenges
Keywords: Computer Vision; Industry Problems; Healthcare; Manufacturing
Summary:
While it’s true that AI has an unprecedented number of applications across industries, Computer Vision is one such application of AI which indeed has been very helpful for businesses. The main goal of Computer Vision is to give computers the ability to have a high-level understanding of digital images and videos. It seeks to develop techniques, and tools to help computers “SEE” and understand the content of digital images and videos.
To bring together researchers from industry and academia working on pattern recognition, machine learning, and computer vision and its applications, this workshop calls for works demonstrating the most recent progress and contributions to CV industrial applications.In particular, this workshop will focus on the follows:
1)Computer Vision in Retail & Ecommerce
2)Computer Vision in Education
3)Computer Vision in Healthcare
4)Computer Vision in Fitness & Sports
5)Computer Vision in Precision Agriculture
6)Computer Vision in Manufacturing & Mining
7)Computer Vision in Cross-Industry Applications
8)Any other related topics.
Chair: Xun Gong
| Southwest Jiaotong University, China
Xun Gong is a professor, director of the Software Engineering department at the School of Computing and Artificial Intelligence, Southwest Jiaotong University. He received his B.S degree in computer science and technology from the Beijing Technology and Business University in 2003. He received the Ph.D. degree in computer science and technology from Southwest Jiaotong University (SWJTU, China) in 2008. He was a visiting scholar of Alberta University, Canada (2015), Louisiana State University, U.S. (2018.7-2019.2). His research interests include pattern recognition, computer vision, medical image processing, and deep learning.
He has received 10 Chinese invention patent grants, and published over 60 papers (including IEEE Transactions on Multimedia, Computer Graphics Forum, Computer Methods and Programs in Biomedicine, Journal of Visual Communication and Image Representation, etc.), and edited one book titled "Human face cognition, from 2D to 3D"(Science Press, Nov. 2011). He is a member of IEEE, a senior member of CCF, served as Session Chair of ICMLC 2021, Program Committee member of AAAI2022, CCBR (2019-2021), ISKE(2015-2021), etc.