報告題目：Visual Food Recognition Using Artificial Intelligence
主 講 人：Kim-Hui Yap
ZOOM ID：210 089 8623
Mobile visual food recognition has received increasing attention in recent years due to its emerging role in dietary monitoring and health management. The aim of mobile visual food recognition is to recognize food dishes from pictures taken using portable devices such as mobile phones/tablets, analyze them and monitor the dietary intakes of the users. This talk will discuss recent advances in visual food recognition using AI. It will outline various challenges in designing such systems and highlight some AI solutions that address these challenges. The talk will also introduce different deep learning models and architectures to achieve good recognition performance while retaining a small memory footprint.
Dr. Kim-Hui Yap is the Group Leader in Content-Based Analysis in the Center for Signal Processing, Nanyang Technological University (NTU), Singapore. His main research interests include computational intelligence, data analytics, image/video processing and computer vision. He has authored more than 100 technical publications. Dr. Yap has served as Associate Editor and Editorial Board Member for a number of international journals. He participated in the organization of various international conferences, serving in different capacities including Technical Program Co-Chair, Finance Chair, and Publication Chair in these conferences.