單 位：太阳成集团tyc234cc

報告題目：Keeping Physics and Humans in the Loop of Computer Vision Problems

報 告 人：尹朝征（密蘇裡科技大學計算機科學系副教授、Daniel St. Clair榮譽教授）

報告時間：2018年6月4日（星期一）上午10:00

報告地點：工學一号館學術報告廳216

個人簡介：

尹朝征，博士，密蘇裡科技大學計算機科學系副教授、Daniel St. Clair榮譽教授（2015至今），工程學院Dean’s Scholar（2016至今）。尹博士分别于1999年、2002年在清華大學自動化學院獲得學士、碩士學位，于2004年在威斯康星大學麥迪遜分校電氣與計算機工程系獲得碩士學位，于2009年于賓夕法尼亞州立大學計算機科學及工程系獲得博士學位，之後在卡耐基梅隆機器人學院進行兩年博士後研究，于2011年加入密蘇裡科技大學計算機科學系至今。尹博士團隊在計算機視覺和生物醫學圖像領域發表高水平論文70餘篇，獲得CVPR Best Doctoral Spotlight Award、MICCAI Young Scientist Paper Award、 NSF CAREER等獎，并于MICCAI2015、WACV2016、 CVPR2017、WACV2018擔任領域主席。

Bio:

Zhaozheng Yin received his PhD in Computer Science and Engineering from Pennsylvania State University in 2009. After two-year postdoc training at Carnegie Mellon University, he joined Missouri University of Science and Technology as a faculty member in 2011. He has been appointed as a Daniel St. Clair Fellow in the Computer Science department since 2015, and a Dean’s Scholar in the College of Engineering and Computing since 2016. His group has published seventy papers in computer science conferences and journals including a few paper awards in CVPR and MICCAI. He received NSF CAREER award in 2014 and served as an Area Chair of MICCAI2015, WACV2016, CVPR2017 and WACV2018.

Abstract:

While a lot of efforts have been spent on developing computer algorithms to solve vision and learning problems, less attention is paid on the physical imaging formation process and human-aided discovery. Using biomedical image analysis as an example, I will demonstrate how physics and humans in the loop can benefit the algorithm development and boost the algorithm performance. In the second part of the talk, I will briefly introduce several multidisciplinary projects from my group, including social intelligent computing, inspection by robotic exploration, and cyber physical smart manufacturing.

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