5 citations · 14 across the 13 of their papers we have counts for
6 papers · 1 filter
PixCuboid: Room Layout Estimation from Multi-view Featuremetric Alignment
Gustav Hanning, Kalle Åström, Viktor Larsson
Coarse room layout estimation provides important geometric cues for many downstream tasks. Current state-of-the-art methods are predominantly based on single views and often assume…
The Impact of Semi-Supervised Learning on Line Segment Detection
Johanna Engman, Karl Åström, Magnus Oskarsson
In this paper we present a method for line segment detection in images, based on a semi-supervised framework. Leveraging the use of a consistency loss based on differently augmente…
Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue
Aleksis Pirinen, Anton Samuelsson, John Backsund +1
Climate-induced disasters are and will continue to be on the rise, and thus search-and-rescue (SAR) operations, where the task is to localize and assist one or several people who a…
Generic Merging of Structure from Motion Maps with a Low Memory Footprint
Gabrielle Flood, David Gillsjö, Patrik Persson +2
With the development of cheap image sensors, the amount of available image data have increased enormously, and the possibility of using crowdsourced collection methods has emerged.…
Trust Your IMU: Consequences of Ignoring the IMU Drift
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck +2
In this paper, we argue that modern pre-integration methods for inertial measurement units (IMUs) are accurate enough to ignore the drift for short time intervals. This allows us t…
In Depth Bayesian Semantic Scene Completion
David Gillsjö, Kalle Åström
This work studies Semantic Scene Completion which aims to predict a 3D semantic segmentation of our surroundings, even though some areas are occluded. For this we construct a Bayes…