Visual AI: From Visual Sensing to Visual Intelligence
演讲者： Dr. Wen-Huang Cheng Academia Sinica
Artificial intelligence (AI) is the capability of computers to perform tasks commonly associated with intelligent beings. AI has been changing our lives for decades, but never has AI felt more ubiquitous than now. As humans, visual sensing is central to the way we learn about the world, and it follows that the pursuit of AI to have human (or better than human) skills, will require substantial advances for computers to process and interpret the sensing visual data. Therefore, in this talk, I would like to share our research experience on the aspect of AI in using computer vision and deep learning to empower computers with visual intelligence, i.e., offering computers with the ability to learn from the sensing visual data without being explicitly programmed. Practical examples involving several application domains, such as human behavior understanding, personal fashion advising, smart social media, and industrial manufacturing, will be presented and discussed.
Wen-Huang Cheng received the Ph.D. (Hons.) degree from the Graduate Institute of Networking and Multimedia, National Taiwan University, Taipei, Taiwan, in 2008. He is an Associate Research Fellow (Associate Professor) with the Research Center for Information Technology Innovation (CITI), Academia Sinica, Taipei, Taiwan, where he is the Founding Leader with the Multimedia Computing Laboratory (MCLab). Before joining Academia Sinica, he was a Principal Researcher with MagicLabs, HTC Corporation, Taoyuan, Taiwan, from 2009 to 2010. His current research interests include intelligent multimedia computing, deep learning, computer vision, and social media analytics. He has received numerous research awards, including the 2018 MSRA Collaborative Research Award, the 2017 Ta-Yu Wu Memorial Award, the 2017 Significant Research Achievements of Academia Sinica, the 2016 Y. Z. Hsu Scientific Paper Award, the Outstanding Youth Electrical Engineer Award from the Chinese Institute of Electrical Engineering in 2015, the Top 10% Paper Award from the 2015 IEEE MMSP, the Outstanding Reviewer Award from the 2015 ACM ICIMCS, the Prize Award of Multimedia Grand Challenge from the 2014 ACM Multimedia Conference, and the K. T. Li Young Researcher Award from the ACM Taipei/Taiwan Chapter in 2014. He is APSIPA Distinguished Lecturer.