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What about the Workshop on Frontiers in Image Graphics? What are the main contents?

The Frontiers of Image Graphics Workshop is a series of high-end academic and technical brand activities sponsored by the Chinese Society of Image Graphics (CSIG), which is held 6-10 times a year, each period of 2-3 days. Each issue is centered around a field, and a number of well-known experts in the industry are invited to give lectures and discussions on the cutting-edge of the relevant fields.

I just looked up the first issue of the Workshop on the Frontiers of Image Graphics on the Internet, and the theme of the first issue is "Deep Learning + Visual Big Data", which is a hot topic in current research. Academic director -- Wang Liang researcher is also a very well-known scholars in the academic circle, his personal home page is introduced as follows:

Wang Liang, Institute of Automation, Chinese Academy of Sciences, researcher, doctoral director, senior member of the IEEE, the International Association for Pattern Recognition (IAPR) Fellow, the National Pattern Recognition Center (NPRC), and a member of the IAPR Fellowship Program. Fellow), Deputy Director of the State Key Laboratory of Pattern Recognition, Director of the Visual Big Data Committee of the Chinese Society of Image and Graphics, Secretary General of the Image and Video Big Data Industry Technology Innovation Strategic Alliance, Secretary General of the Specialized Committee on Computer Vision of the Chinese Computer Society, and Vice Chairman of the Young Scientists Club of the Chinese Institute of Electronics. He is a selected candidate of the Hundred Talents Program of Chinese Academy of Sciences (with final excellence), a recipient of the National Outstanding Youth Science Foundation, and a recipient of the National Youth Science and Technology Prize, and received his Ph.D. degree in engineering from the Institute of Automation, Chinese Academy of Sciences in 2004. His main research areas are pattern recognition, computer vision, and big data analytics. He is currently cited more than 9000 times in Google Scholar.