Michael Ying Yang is Assistant Professor in University of Twente, The Netherlands, heading a group working on scene understanding.
He received the PhD degree (summa cum laude) from University of Bonn (Germany) in 2011. From 2008 to 2012, he worked as Researcher with the Department of Photogrammetry, University of Bonn, under supervision of Prof. Wolfgang Förstner. From 2012 to 2015, he was a Postdoctoral Researcher with the Institute for Information Processing, Leibniz University Hannover, under the supervision of Prof. Bodo Rosenhahn. From 2015 to 2016, he was a Senior Researcher with Computer Vision Lab Dresden, TU Dresden, collaborating with Prof. Carsten Rother. He received the venia legendi in Computer Science from Leibniz University Hannover in 06/2016.
His research interests are in the fields of computer vision with specialization on scene understanding. He works on Multimodal Learning and Deep Generative Models in the recent years. He published over 100 articles in international journals and conference proceedings and co-supervise 5 PhD students. He serves as Associate Editor of ISPRS Journal of Photogrammetry and Remote Sensing, and recipient of the ISPRS President's Honorary Citation (2016) and Best Science Paper Award at BMVC 2016. He co-organized 12 workshops with CVPR/ICCV/ECCV, and is guest editor of 4 journal special issues. Since 2016, he is a Senior Member of IEEE. He is regularly serving as program committee member of conferences and reviewer for international journals.
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Verbonden aan Opleidingen
Vakken Collegejaar 2023/2024
Vakken Collegejaar 2022/2023
• EU project VeVuSafety 2022-2024
Artificial Intelligence for Traffic Safety between Vehicles and Vulnerable Road Users
Funded by EU, PI
• NWO eScience project 2021-2024
EcoExtreML: Accelerating Process Understanding for Ecosystem Functioning under Extreme Climates with Physics-Aware Machine Learning
Funded by The Netherlands eScience Center, co-PI
• DFG project 2017-2020-2023
Comprehensive Conjoint GPS and Video Data Analysis for Smart Maps
Funded by the German Research Foundation, co-PI
• DFG project 2015-2018
Holistic Scene Understanding
Funded by the German Research Foundation, PI