ECCV 2020 Tutorial

Facing depth estimation in-the-wild with deep networks

Organizers

Matteo Poggi

He received his PhD from University of Bologna in 2018. Since 2014 his research focuses on stereo matching and deep learning. He was an intern at Aquifi in Palo Alto in 2014, supervised by Prof. Roberto Manduchi, and visited CVG Lab led by Professor Marc Pollefeys in 2017 supervised by Dr. Torsten Sattler and Prof. Andreas Geiger. Currently he is a post-doc at the Department of Computer Science and Engineering of University of Bologna. Since 2018 he regularly serves as reviewer for major computer vision conferences and journals, being acknowledged as outstanding reviewer at CVPR 2018 and 2019.

Fabio Tosi

He earned his MS degree in computer science engineering from the University of Bologna in 2017. Currently he is a third-year PhD student in Computer Science and Engineering at the University of Bologna, working on deep learning for stereo and monocular depth estimation. Since 2019 he regularly serves as reviewer for major computer vision conferences and journals.

Filippo Aleotti

He received his MS degree computer science engineering from the University of Bologna in 2018. Currently he is enrolled in second year PhD program in Structural and Environmental Health Monitoring and Management (SEHM2) at the Department of Computer Science and Engineering of University of Bologna, where he conducts research in deep learning for depth sensing.

Konstantinos Batsos

He earned his MS from Stevens Institute of Technology in 2011 and returned to pursue his PhD in 2016, earned in 2020. His research interests include binocular and multi-view stereo, deep learning and real-time computer vision.

Philippos Mordohai

He is an associate professor of Computer Science at Stevens Institute of Technology. He earned his PhD from the University of Southern California and held postdoctoral appointments at the University of North Carolina and the University of Pennsylvania. His research interests span 3D reconstruction from images and video, range data analysis, perceptual organization and active vision. He has served as area chair for CVPR, ICCV and ECCV and program co-chair of the International Conference on 3D Vision (3DV), 2019.

Stefano Mattoccia

He received his PhD in Computer Science Engineering from the University of Bologna in 2002. Currently, he is an associate professor at the Department of Computer Science and Engineering of the University of Bologna. His research activity is mainly focused on 3D sensing from images, deep-learning and embedded computer vision. He has been co-guest editor for a special issue of IEEE Journal of Selected Topics in Signal Processing on emerging techniques in 3D in 2013, area chair at ICME 2013 and 2014 for the 3D track, Co-Program Chair for the Embedded Vision Workshop 2014, Program Chair for Embedded Vision Workshop 2015 and lead guest editor for a special issue of Springer’s Journal of Signal Processing Systems on Embedded Computer Vision.

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