18 citations · 35 across the 8 of their papers we have counts for
10 papers
PolyLayout: Multi-room Manhattan Layout Estimation
Gustav Hanning, Shaohui Liu, Rémi Pautrat +3
Estimating room layouts from multi-view imagery is a core task for indoor scene understanding. Existing methods are typically limited either by poor generalization to new datasets…
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
William Ljungbergh, Adam Tonderski, Joakim Johnander +4
We present a versatile NeRF-based simulator for testing autonomous driving (AD) software systems, designed with a focus on sensor-realistic closed-loop evaluation and the creation…
Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes
David Gillsjö, Gabrielle Flood, Kalle Åström
This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations ta…
Extending GCC-PHAT using Shift Equivariant Neural Networks
Axel Berg, Mark O'Connor, Kalle Åström +1
Speaker localization using microphone arrays depends on accurate time delay estimation techniques. For decades, methods based on the generalized cross correlation with phase transf…
Semantic Room Wireframe Detection from a Single View
David Gillsjö, Gabrielle Flood, Kalle Åström
Reconstruction of indoor surfaces with limited texture information or with repeated textures, a situation common in walls and ceilings, may be difficult with a monocular Structure…
Bootstrapped Representation Learning for Skeleton-Based Action Recognition
Olivier Moliner, Sangxia Huang, Kalle Åström
In this work, we study self-supervised representation learning for 3D skeleton-based action recognition. We extend Bootstrap Your Own Latent (BYOL) for representation learning on s…
Minimal Solvers for Indoor UAV Positioning
Marcus Valtonen Örnhag, Patrik Persson, Mårten Wadenbäck +2
In this paper we consider a collection of relative pose problems which arise naturally in applications for visual indoor UAV navigation. We focus on cases where additional informat…
Massive MIMO-based Localization and Mapping Exploiting Phase Information of Multipath Components
Xuhong Li, Erik Leitinger, Magnus Oskarsson +2
In this paper, we present a robust multipath-based localization and mapping framework that exploits the phases of specular multipath components (MPCs) using a massive multiple-inpu…
Beyond Gröbner Bases: Basis Selection for Minimal Solvers
Viktor Larsson, Magnus Oskarsson, Kalle Åström +3
Many computer vision applications require robust estimation of the underlying geometry, in terms of camera motion and 3D structure of the scene. These robust methods often rely on…
An Automatic System for Acoustic Microphone Geometry Calibration based on Minimal Solvers
Simayijiang Zhayida, Simon Segerblom Rex, Yubin Kuang +2
In this paper, robust detection, tracking and geometry estimation methods are developed and combined into a system for estimating time-difference estimates, microphone localization…