Data-driven Sketch Interpretation

报告题目：Data-driven Sketch Interpretation

报告摘要：

Freehand sketching provides an easy tool for communication between people. While human viewers can easily interpret the semantics of a freehand sketch, it is often difficult to teach machines to understand sketches like we do, mainly because of different levels of abstraction, drawing styles, and various sources of drawing errors. In this talk, I will introduce how data-driven approaches can helpus address various sketch understanding tasks, including sketch classification, sketch segmentation and labeling, 3D interpretation of freehand sketches, and sketch-based image generation. 

讲者简介：

Hongbo Fu is a Professor in the School of Creative Media, City University of Hong Kong. Before joining CityU, he had postdoctoral research training at the Imager Lab, University of British Columbia, Canada, and the Department of Computer Graphics, Max-Planck-Institut Informatik, Germany. He received a Ph.D. degree in computer science from the Hong Kong University of Science and Technology in 2007 and a BS degree in information sciences from Peking University, China, in 2002. His primary research interests fall in computer graphics, human-computer interaction, and computer vision. His research has led to over 100 scientific publications, including about 50 papers in the best graphics journals (ACM TOG/IEEE TVCG) and 20 papers in the best vision/HCI conferences (CVPR/ICCV/ECCV/CHI/UIST). His recent works have received the Best Demo awards at the Emerging Technologies program, SIGGRAPH Asia in 2013 and 2014, and the Best Paper awards from CAD/Graphics 2015 and UIST 2019.

时间：2022年4月22日(周五)下午3:00-4:00

腾讯会议：腾讯会议号432939696