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20162026
most citedExtending GCC-PHAT using Shift Equivariant Neural Networks

18 citations · 35 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

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…

cs.CV2024★ 1 cited

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…

cs.CV2023

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…

cs.CV2022★ 2 cited

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…

cs.CV2022

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…

cs.CV2020★ 4 cited

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…

cs.CV2018

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…