430 citations · 994 across the 68 of their papers we have counts for
3 papers · 2 filters
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang, Min Bai, Gellert Mattyus +7
In this paper we introduce the TorontoCity benchmark, which covers the full greater Toronto area (GTA) with 712.5 of land, 8439 of road and around 400,000 buildings. Ou…
AutoScaler: Scale-Attention Networks for Visual Correspondence
Shenlong Wang, Linjie Luo, Ning Zhang +1
Finding visual correspondence between local features is key to many computer vision problems. While defining features with larger contextual scales usually implies greater discrimi…
Find your Way by Observing the Sun and Other Semantic Cues
Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker +2
In this paper we present a robust, efficient and affordable approach to self-localization which does not require neither GPS nor knowledge about the appearance of the world. Toward…