Search Results for author:
Found 6 papers, 2 papers with code
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments
We present LaLaLoc to localise in environments without the need for prior visitation, and in a manner that is robust to large changes in scene appearance, such as a full rearrangement of furniture.
Correspondence Networks with Adaptive Neighbourhood Consensus
This is a challenging task due to large intra-class variations and a lack of dense pixel level annotations.
Ranked #8 on
Semantic correspondence
on PF-PASCAL
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation
We present FlowNet3D++, a deep scene flow estimation network.
GroSS: Group-Size Series Decomposition for Grouped Architecture Search
We present a novel approach which is able to explore the configuration of grouped convolutions within neural networks.
GroSS Decomposition: Group-Size Series Decomposition for Whole Search-Space Training
We present Group-size Series (GroSS) decomposition, a mathematical formulation of tensor factorisation into a series of approximations of increasing rank terms.
Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts
We propose a method for room layout estimation that does not rely on the typical box approximation or Manhattan world assumption.
