Organizers

Eric Brachmann received the diploma degree at the TU Dresden, Germany in 2012. Subsequently, he joined the Computer Graphics Lab and the Computer Vision Lab of the TU Dresden as a research associate under the supervision of Prof. Stefan Gumhold and Prof. Carsten Rother. He received a doctorate in 2018 by the TU Dresden. In 2018 he joined the Visual Learning Lab of Prof. Carsten Rother at the University Heidelberg as a post-doctoral researcher. Currently, he sits as a guest researcher in the group of Bodo Rosenhahn at the Leibniz University Hanover.

During his PhD [9], Eric worked on 6D pose estimation of rigid object instances [1,10,12,33, 45–47,55,56] and camera localization in indoor and outdoor scenes [11–13,54]. He is an expert in object and scene coordinate regression via machine learning, which is a core element in state-of-the-art learning-based localization techniques. He publishes his work at the leading computer vision conferences (ECCV, ICCV, CVPR) where he is also involved as reviewer. Eric co-organized the ECCV tutorial on visual localization in 2018. Eric is interested in constrained machine learning, self-supervised learning, and the combination and integration of machine learning and traditional computer vision, particularly projective geometry.

Torsten Sattler received a PhD in Computer Science from RWTH Aachen University, Germany, in 2013. From December 2013 to December 2018, he was a post-doctoral and senior researcher in the Computer Vision and Geometry (CVG) Group of Prof. Marc Pollefeys at ETH Zurich, working on 3D scene perception for mobile devices, e.g., Google Tango, and autonomous vehicles. From July 2016 to June 2018, he was Prof. Pollefeys’ deputy and tasked with leading the day-to-day operation of CVG while Prof. Pollefeys is on a sabbatical at Microsoft (USA). Since 2019, Torsten is an Associate Professor in the Electrical Engineering department at Chalmers University of Technology. His research interests include (mobile, real-time) visual localization [18,53,72,75,100], place recognition [71], Structure-from-Motion [84], SLAM [50], as well as feature detection [76] and description [78]. Recently, Torsten started working on long-term localization [73,79,86] and learning-based localization [2,98]. His current work focuses on making algorithms for localization and mapping “smarter” by incorporating higher-level scene understanding [2,50,79,86].

Torsten has organized tutorials and workshops at CVPR (2014, 2015, 2017, 2018, 2019), ECCV (2018), and ICCV (2017) and has been / is an area chair for CVPR (2018), 3DV (2018, 2019), GCPR (2018, 2019), and ICRA (2019).

Giorgos Tolias obtained his Diploma in Electrical and Computer Engineering from the NTU of Athens in 2007, where he also received his PhD in 2013 under the supervision of professor Stefanos Kollias and Yannis Avrithis. He was a post-doctoral researcher at Inria Rennes working with Hervé Jégou. He is currently a member of the Center for Machine Perception (CMP) at CTU in Prague as a post-doctoral researcher, working in the team of Ondˇrej Chum. His research interests include large scale image retrieval [87,89,91,93], location recognition [5,16,65,66,89,92], learning visual image representations [16,34,59] and cross-modal matching [67,90]. He has been reviewing for major computer vision conferences and journals including ICCV, ECCV, CVPR, IJCV and PAMI. He was a co-organizer of the Computer Vision and Sports (VS3) summer school in 2016, 2017, and 2018. He has co-organized tutorials and workshops in CVPR 2017, CVPR 2018, and CVPR 2019.