44 citations · 99 across the 5 of their papers we have counts for
4 papers
ILabel: Interactive Neural Scene Labelling
Shuaifeng Zhi, Edgar Sucar, Andre Mouton +3
Joint representation of geometry, colour and semantics using a 3D neural field enables accurate dense labelling from ultra-sparse interactions as a user reconstructs a scene in rea…
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks
John McCormac, Ankur Handa, Andrew Davison +1
Ever more robust, accurate and detailed mapping using visual sensing has proven to be an enabling factor for mobile robots across a wide variety of applications. For the next level…
gvnn: Neural Network Library for Geometric Computer Vision
Ankur Handa, Michael Bloesch, Viorica Patraucean +3
We introduce gvnn, a neural network library in Torch aimed towards bridging the gap between classic geometric computer vision and deep learning. Inspired by the recent success of S…
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
Edward Johns, Stefan Leutenegger, Andrew J. Davison
This paper presents a new method for parallel-jaw grasping of isolated objects from depth images, under large gripper pose uncertainty. Whilst most approaches aim to predict the si…