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Announcement of the 3rd International Conference on Image Processing, Computer Vision and Machine Learning (ICICML 2024)

Jul 16, 2024

Conference Title: The 3rd International Conference on Image Processing, Computer Vision and Machine Learning (ICICML 2024)

Conference Website: www.icicml.org

Conference Dates: November 22-24, 2024

Conference Location: Shenzhen, China

Conference Chinese Page: https://www.ais.cn/attendees/index/6BEZZI The 3rd International Conference on Image Processing, Computer Vision and Machine Learning (ICICML 2024), hosted by Shenzhen University and organized by the National Engineering Laboratory for Big Data System Computing Technology and the School of Computer Science and Software Engineering of Shenzhen University, will be held in Shenzhen from November 22 to 24, 2024. The conference will focus on the latest research findings in image and vision processing, machine learning, and other computer science areas. It will provide an international platform for experts, professors, scholars, and engineers from universities, research institutes, and enterprises both domestically and internationally to share professional experience, expand their professional networks, exchange new ideas face-to-face, and showcase research results. The conference will explore key challenges and research directions in this field, aiming to promote the development and application of theories and technologies in universities and enterprises, and to help participants establish business or research connections and find global partners for future careers.

The conference is expected to be held primarily in person with some online participation. Renowned experts and scholars from home and abroad will be invited to deliver keynote speeches. ICICML 2024 welcomes high-quality research papers and presentations from all relevant research fields.

Organizing Committee:

Conference Chair:

Professor Shen Linlin, Shenzhen University, Shenzhen "Pengcheng Scholar" Distinguished Professor, IEEE Senior Member

Co-Chairs:

Professor Xu Yong, Harbin Institute of Technology (Shenzhen), Changjiang Scholar Distinguished Professor

Professor Qian Yuehong, Soochow University, Changjiang Scholar Distinguished Professor, National Science Fund for Distinguished Young Scholars Recipient

Professor Jiang Hongbo, Hunan University, Academician of the European Academy of Sciences, Fellow of the Institution of Engineering and Technology (IET)

Program Committee Chair:

Professor Lei Baiying, Shenzhen University, Young Changjiang Scholar, IEEE Senior Member

Professor You Xingge, Huazhong University of Science and Technology, Ministry of Education's New Century Excellent Talents Award, IEEE Senior Member

Professor Zeng Nianyin, Xiamen University, Fujian Provincial Outstanding Youth Award

Publication Chair:

Professor Liu Wanquan, Dean of the School of Intelligent Engineering, Sun Yat-sen University, IEEE Senior Member

Organizing Committee Chair:

Professor Zhu Zexuan, Shenzhen University, IEEE Senior Member

Conference Paper Topics (including but not limited to):

Publication search:

All submissions must be reviewed by 2-3 experts from the organizing committee. After rigorous review, accepted papers will be published by IEEE (ISBN: 979-8-3503-5541-3) and indexed by IEEE Xplore, EI Compendex, and Scopus. IEEE has published these papers for three consecutive years, ensuring stable indexing!

Indexing Types: EI Compendex, Scopus, IEEE Xplore

Conference Types:

Submission, Poster Presentation, Oral Presentation, Attendance Only

Experts and scholars in image processing, computer vision, machine learning, and related fields are welcome to submit papers and participate. (Author submissions or recommendations from the organizers will receive a 400 RMB discount; please contact Professor Liu for revisions after acceptance.)

For more information, please visit the conference website: http://www.icicml.org/

Contact:

Leah Liu | Professor Liu

Mobile (WeChat): 17320119422

Conference Email: contacticicml@163.com

Submission Link

Conference Official Website

Teacher Liu's WeChat

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