Invited speaker 1: Michael Felsberg, Professor, Linköping University (Confirmed)

Biography: Michael Felsberg received the Ph.D. degree in engineering from the University of Kiel, Kiel, Germany, in 2002. Since 2008, he has been a Full Professor and the Head of the Computer Vision Laboratory, Linköping University, Sweden. His current research interests include signal processing methods for image analysis, computer and robot vision, and machine learning. He has published more than 100 reviewed conference papers, journal articles, and book contributions. He was a recipient of awards from the German Pattern Recognition Society in 2000, 2004, and 2005, from the Swedish Society for Automated Image Analysis in 2007 and 2010, from Conference on Information Fusion in 2011 (Honorable Mention), and from the CVPR Workshop on Mobile Vision 2014. He has achieved top ranks on various challenges (VOT: 3rd 2013, 1st 2014, 2nd 2015; VOT-TIR: 1st 2015; OpenCV Tracking: 1st 2015; KITTI Stereo Odometry: 1st 2015, March). He has coordinated the EU projects COSPAL and DIPLECS, he is an Associate Editor of the Journal of Mathematical Imaging and Vision, Journal of Image and Vision Computing, Journal of Real-Time Image Processing, Frontiers in Robotics and AI. He was Publication Chair of the International Conference on Pattern Recognition 2014 and Track Chair 2016, he was the General Co-Chair of the DAGM symposium in 2011, and he will be general Chair of CAIP 2017.

Invited speaker 2: Pascal Mettes, Assistant Professor, University of Amsterdam (Confirmed)

Biography: Pascal Mettes is an Assistant Professor in computer vision at the University of Amsterdam. He received his PhD (2017) and was a post doc (2018-2019) at the University of Amsterdam and was previously a visiting scientist at Columbia University (2016) and at the University of Tübingen (2021). His research focuses on discovering and embedding prior knowledge in deep networks for visual understanding. He organized the ECCV 2022 tutorial on Hyperbolic Representation Learning for Computer Vision, the ICCV 2021 workshop of Structured Representations for Video Understanding, and the Netherlands Conference on Computer vision 2022.

Anticipated target audience as well as expected number of attendees

This workshop targets at researchers and students who are working on object perception, including detection, tracking, motion trend prediction, object re-identification, object recognition/verification, and other related areas. In total 150 attendees are reasonably expected.