学术报告:High Performance Face Alignment and Detection

发布时间:2015-03-20  阅读次数:2340
Title:
High Performance Face Alignment and Detection

Abstract: 
Face analysis problems, such as recognition, detection and alignment, are of central importance in computer vision. While significant advances have been made over the past decades, modern applications have raised even bigger challenges on the accuracy, speed and robustness. In this talk, I will introduce the most recent advances for face alignment and detection performed in vision group of Microsoft Research Asia. I will also discuss their applications in real world scenarios.

About the Speaker. 
Yichen Wei is a Lead Researcher in computer vision group, Microsoft Research Asia. Before joining MSRA in 2006, he received Ph.D degree in Computer Science from Hong Kong University of Science and Technology, and BS degree in 2001 from Peking University. His research interest is in computer vision, specifically on 3D reconstruction, object detection, tracking and recognition. He has published dozens of papers on top conferences (CVPR, ICCV, ECCV, SIGGRAPH) and journals (PAMI, IJCV). His research work in Microsoft has contributed to various products, such as Kinect, Office and Windows.
 

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