2 citations · 3 across the 7 of their papers we have counts for
7 papers
Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
Viktor Kocur, Sithu Aung, Gabrielle Flood +4
Monocular depth estimation has improved significantly in recent years, driven by increasingly powerful models and large-scale training data. Predicted depth is increasingly used as…
Converting T1-weighted MRI from 3T to 7T quality using deep learning
Malo Gicquel, Ruoyi Zhao, Anika Wuestefeld +12
Ultra-high resolution 7 tesla (7T) magnetic resonance imaging (MRI) provides detailed anatomical views, offering better signal-to-noise ratio, resolution and tissue contrast than 3…
Visual Re-Ranking with Non-Visual Side Information
Gustav Hanning, Gabrielle Flood, Viktor Larsson
The standard approach for visual place recognition is to use global image descriptors to retrieve the most similar database images for a given query image. The results can then be…
Multi-Source Localization and Data Association for Time-Difference of Arrival Measurements
Gabrielle Flood, Filip Elvander
In this work, we consider the problem of localizing multiple signal sources based on time-difference of arrival (TDOA) measurements. In the blind setting, in which the source signa…
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…
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…
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.…