发表日期：2018-08-24 点击击数: 773
报告题目：Deep Learning for Analysis and Generation of Facial Attributes
报告摘要：Face analysis is a fundamental and challenging problem in computer vision. For face an-alysis, one of the fundamental techniques is face alignment which is usually employed as the preprocessing step. For instance, when we do face verification, the faces need to be aligned first. On top of that, face pose and facial expression normalization is also a very important preprocessing step. In addition to the disturbance of the poses and expression,another very important factor that might degrade the performance of face verification is age. Thus , modeling the aging process of human faces is important for cross-age faces verification and recognition. Similar to face verification, a face aging task also needs to normalize the face poses and expressions, and many works have been proposed to nor-malize for facial expressions. However, only a few works have studied how to generate faces having various expressions, such as spontaneous or posed smiles. In this presenta-tion, we will present our recent results on face alignment, face aging, and smile videos generation employing recurrent neural networks, such as the Long Short Term Memory(LSTM) and the Gated Recurrent Unit (GRU).
报告人简介：Nicu Sebe is a professor in the University of Trento, Italy, where he is the Director of the Department of Information Engineering and Computer Science. He is also leading the Research in areas of multimedia information retrieval and human-computer interaction in computer vision applications. He was involved in the organization of the major confer-ences and workshops addressing the computer vision and human-centered aspects of multimedia information retrieval, among which as a General Co-Chair of IEEE Automatic Face and Gesture Recognition Conference, FG 2008, ACM International Conference on Image and Video Retrieval (CIVR) 2007 and 2010. He was a general chair of ACM Multi-media 2013 and ACM ICMR 2017 and program chair of ACM Multimedia 2011 and 2007, ECCV 2016 and ICCV 2017. He is the program chair of ICPR 2020. Currently he is the ACM SIGMM vice chair. He is a fellow of IAPR and a Senior member of ACM and IEEE.