132 citations · 228 across the 5 of their papers we have counts for
8 papers
Semantic Texture for Robust Dense Tracking
Jan Czarnowski, Stefan Leutenegger, Andrew Davison
We argue that robust dense SLAM systems can make valuable use of the layers of features coming from a standard CNN as a pyramid of `semantic texture' which is suitable for dense al…
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James, Andrew J. Davison, Edward Johns
End-to-end control for robot manipulation and grasping is emerging as an attractive alternative to traditional pipelined approaches. However, end-to-end methods tend to either be s…
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper
Luigi Nardi, Bruno Bodin, Sajad Saeedi +3
In this paper we investigate an emerging application, 3D scene understanding, likely to be significant in the mobile space in the near future. The goal of this exploration is to re…
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth
John McCormac, Ankur Handa, Stefan Leutenegger +1
We introduce SceneNet RGB-D, expanding the previous work of SceneNet to enable large scale photorealistic rendering of indoor scene trajectories. It provides pixel-perfect ground t…
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition
Edward Johns, Stefan Leutenegger, Andrew J. Davison
A multi-view image sequence provides a much richer capacity for object recognition than from a single image. However, most existing solutions to multi-view recognition typically ad…
Effective Backscatter Approximation for Photometry in Murky Water
Chourmouzios Tsiotsios, Maria E. Angelopoulou, Andrew J. Davison +1
Shading-based approaches like Photometric Stereo assume that the image formation model can be effectively optimized for the scene normals. However, in murky water this is a very ch…