Full name: 2024 The 2nd Asia Symposium on Image and Graphics (ASIG 2024)

Abbreviation: ASIG 2024

December 20-22, 2024 | Sanya, China

It is with great pleasure that we welcome you to The 2nd Asia Symposium on Image and Graphics (ASIG 2024), to be held during December 20-22, 2024 in the beautiful city of Sanya, China. ASIG 2024 is sponsored by East China Normal University, China, hosted by Hainan Institute of East China Normal University, China, assisted by Shanghai Key laboratory of Mulidimendinal information Processing, China.

The advancements in computer vision, machine learning, and other related fields have led to an explosion of new techniques, tools, and applications for image and graphics processing. From deep learning-based image recognition to generative adversarial networks (GANs) for image synthesis, the possibilities are endless.

This symposium provides a unique opportunity to exchange knowledge and ideas, as well as to network with leading experts in the field. We are excited to bring together researchers, engineers, and practitioners from around the world to share their latest findings, discuss emerging trends, and explore new directions.

We hope that you will join us in Sanya for what promises to be an exciting and fruitful event, as we explore the latest advances in image and graphics and their impact on society and industry.

★Keynote Speaker & Invited Speakers

Prof. Hong Zhang

Fellow of lEEE, Canadian Academy of Engineering

Southern University of Science and Technology, China

Prof. Lizhuang Ma

Shanghai Jiao Tong University, China

Assoc. Prof. Kezhi Mao

Nanyang Technological University, Singapore

★Publication

Submitted papers will be peer reviewed by conference committees, and accepted papers after proper registration and presentation will be published in the International Conference Proceedings Series by ACM (ISBN: 979-8-4007-0990-6), which will be archived in the ACM Digital Library, submitted for indexing by Ei Compendex, Scopus, etc.

★Topics

Track 1. Image and Video Analysis:

This track invites submissions on topics related to image and video analysis, including but not limited to image segmentation, object detection, tracking, recognition, and retrieval; video processing, analysis, and summarization; motion analysis and estimation; and deep learning-based approaches for image and video analysis.

Track 2. Computer Vision:

This track focuses on the latest developments in computer vision, including but not limited to 3D vision, stereo and multi-view vision, visual odometry, structure from motion, and visual SLAM; computational photography; and image and video-based rendering.

Track 3. Pattern Recognition:

This track welcomes submissions on various topics related to pattern recognition, including but not limited to pattern classification and clustering, feature extraction, dimensionality reduction, and ensemble methods.

Track 4. Graphics, Visualization, and Virtual Reality:

This track invites papers on a wide range of topics related to graphics, visualization, and virtual reality, including but not limited to computer graphics, virtual reality, augmented reality, haptic rendering, medical visualization, and information visualization.

Track 5. Applications:

This track focuses on the practical applications of image and graphics techniques in various fields, including but not limited to biometrics, security, robotics, autonomous vehicles, healthcare, entertainment, and education.

For more topics, please visit: http://asig.net/cfp.html.

★Submission Guideline

♢ English is the official language. Paper should be prepared in English.

♢ Abstract submission is for presentation only without publication.

♢ Full paper submission is for both presentation and publication. (No less than 8 pages, in the 1-column format)

♢ Submission: 

- By online submission system: http://confsys.iconf.org/submission/asig2024

- Or Submit to [email protected] as attachment

For more details, please visit: http://asig.net/sub.html

★Contact Us

Conference Secretary: Miss Chloe Jiang

Email: [email protected]

Tel: +86-18302820449

Website: http://asig.net/index.html

Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)