2 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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.…