Computer Vision - ECCV 2020 Workshops
Glasgow, UK, August 23-28, 2020, Proceedings, Part II
Herausgegeben: Bartoli, Adrien; Fusiello, Andrea
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The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic.The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics.Part II focusses on commands fo...
The 6-volume set, comprising the LNCS books 12535 until 12540, constitutes the refereed proceedings of 28 out of the 45 workshops held at the 16th European Conference on Computer Vision, ECCV 2020. The conference was planned to take place in Glasgow, UK, during August 23-28, 2020, but changed to a virtual format due to the COVID-19 pandemic.
The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics.
Part II focusses on commands for autonomous vehicles; computer vision for ART analysis; sign language recognition, translation and production; visual inductive priors for data-efficient deep learning; 3D poses in the wild challenge; map-based localization for autonomous driving; recovering 6D object pose; and shape recovery from partial textured 3D scans.
The 249 full papers, 18 short papers, and 21 further contributions included in the workshop proceedings were carefully reviewed and selected from a total of 467 submissions. The papers deal with diverse computer vision topics.
Part II focusses on commands for autonomous vehicles; computer vision for ART analysis; sign language recognition, translation and production; visual inductive priors for data-efficient deep learning; 3D poses in the wild challenge; map-based localization for autonomous driving; recovering 6D object pose; and shape recovery from partial textured 3D scans.
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