時間：102/08/14(星期三)15：00
地點：國立交通大學 電子資訊大樓1F 第四會議室
主持人：王聖智教授
講者：楊明玄教授
現任：University of California at Merced 副教授
Title: Visual Tracking and Face Hallucination: Computer Vision Applications with Machine Learning Techniques
Abstract: In this talk, I will present some of our research results on visual tracking and super resolution. In the first part of this talk, I will present online learning algorithms for robust visual tracking and a recent benchmark on the state-of-the-art methods. In the second part of this talk, I will discuss on how to generate high-resolution images from low-resolution images with an effective learning approach.
Biography: Ming-Hsuan Yang is an associate professor in Electrical Engineering and Computer Science at University of California, Merced. He received the PhD degree in Computer Science from the University of Illinois at Urbana-Champaign in 2000. He has served as an area chair for several conferences including IEEE Conference on Computer Vision and Pattern Recognition, IEEE International Conference on Computer Vision, Asian Conference on Computer, AAAI National Conference on Artificial Intelligence, and IEEE International Conference on Automatic Face and Gesture Recognition. In 2004, he will serve as a program co-chair for Asian Conference on Computer Vision. He served as an associate editor of the IEEE Transactions on Pattern Analysis and Machine Intelligence from 2007 to 2011, and currently is as an associate editor of the International Journal of Computer Vision, Image and Vision Computing and Journal of Artificial Intelligence Research. Yang received the Google Faculty Award in 2009, and the Distinguished Early Career Research award from the UC Merced senate in 2011. Yang is a recipient of the Faculty Early Career Development (CAREER) award from the National Science Foundation in 2012. He is a senior member of the IEEE and the ACM.