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Xiaohao Cai (Assistant Professor)在线学术报告
上传时间:2020-12-10 作者: 浏览次数:455

在线学术报告

报告标题: SaT segmentation methodology and its applications

报告人:Xiaohao Cai (Assistant Professor, University of Southampton)

报告摘要:  As a fundamental and challenging task in many subjects such as image processing and computer vision, image segmentation is of great importance but is constantly challenging to deliver, particularly, when the given images or data are corrupted by different types of degradations like noise, information loss and/or blur. In this talk we introduce a segmentation methodology -- smoothing and thresholding (SaT) -- which can provide a flexible way of producing superior segmentation results with fast and reliable numerical implementations. A bunch of methods based on this methodology are to be presented, including many applications with different types of degraded images in image processing.

报告时间:20201215 (周二)下午16:00-17:30

报告地点:腾讯会议(会议ID301992278

报告人简介:Xiaohao Cai is a Lecturer (Assistant Professor equivalent) in the School of Electronics and Computer Science at the University of Southampton. He received his PhD degree in mathematics from The Chinese University of Hong Kong in 2012. He afterwards was a Postdoctoral Researcher at the Department of Mathematics of the Technische Universitat Kaiserslautern in Germany. After that he was a Wellcome Trust Research Fellow and Issac Newton Trust Research Fellow, affiliated with the Department of Plant Sciences, and Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Thenceforth, before joining Southampton, he was a Research Fellow in the Mullard Space Science Laboratory (MSSL) at University College London (UCL). He has broad multi-disciplinary research interests in applied mathematics, statistics, and computer science, with main focus and applications in image/signal/data processing, optimisation, machine learning and computer vision.

邀请人:喻高航

 


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