Research Seminar: Towards Deep Visual Scene Understanding
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Date
17 Oct 2022
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Organiser
Department of Land Surveying and Geo-Informatics (LSGI)
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Time
15:30 - 16:30
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Venue
online via Zoom
Speaker
Dr. Michael Ying YANG
Enquiry
Ms Anna Choi 3400 8158 anna.choi@polyu.edu.hk
Summary
Inspired by the ability of humans to interpret and understand visual scenes nearly effortlessly, the problem of visual scene understanding has long been advocated as the holy grail of computer vision and photogrammetry. In recent years there has been considerable progress on many sub-problems of the overall scene understanding problem. Due to the rise of deep learning, the performance for these sub-tasks starts to achieve remarkable performance levels. This talk highlights recent progress on some essential components such as semantic segmentation and scene graph generation.
Keynote Speaker
Dr. Michael Ying YANG
Assistant Professor
University of Twente, The Netherlands
Micheal Ying Yang is currently Assistant Professor in the Department of Earth Observation Science at ITC - Faculty of Geo-Information Science and Earth Observation, 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. He received the venia legendi in Computer Science from Leibniz University Hannover in 2016. His research interests are in the fields of computer vision and photogrammetry with specialization on scene understanding and semantic interpretation from imagery. He serves as Associate Editor of ISPRS Journal of Photogrammetry and Remote Sensing, Co-chair of ISPRS working group II/5 Dynamic Scene Analysis, Program Chair of ISPRS Geospatial Week 2019, and recipient of ISPRS President’s Honorary Citation (2016), Best Science Paper Award at BMVC (2016), and The Willem Schermerhorn Award (2021).
