53 citations · 227 across the 37 of their papers we have counts for
6 papers · 1 filter
Detecting Objects with Context-Likelihood Graphs and Graph Refinement
Aritra Bhowmik, Yu Wang, Nora Baka +2
The goal of this paper is to detect objects by exploiting their interrelationships. Contrary to existing methods, which learn objects and relations separately, our key idea is to l…
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients
Rémi Pautrat, Daniel Barath, Viktor Larsson +2
Line segments are ubiquitous in our human-made world and are increasingly used in vision tasks. They are complementary to feature points thanks to their spatial extent and the stru…
NeuralMeshing: Differentiable Meshing of Implicit Neural Representations
Mathias Vetsch, Sandro Lombardi, Marc Pollefeys +1
The generation of triangle meshes from point clouds, i.e. meshing, is a core task in computer graphics and computer vision. Traditional techniques directly construct a surface mesh…
CompNVS: Novel View Synthesis with Scene Completion
Zuoyue Li, Tianxing Fan, Zhenqiang Li +4
We introduce a scalable framework for novel view synthesis from RGB-D images with largely incomplete scene coverage. While generative neural approaches have demonstrated spectacula…
Learning Online Multi-Sensor Depth Fusion
Erik Sandström, Martin R. Oswald, Suryansh Kumar +4
Many hand-held or mixed reality devices are used with a single sensor for 3D reconstruction, although they often comprise multiple sensors. Multi-sensor depth fusion is able to sub…
Photographic Visualization of Weather Forecasts with Generative Adversarial Networks
Christian Sigg, Flavia Cavallaro, Tobias Günther +1
Outdoor webcam images are an information-dense yet accessible visualization of past and present weather conditions, and are consulted by meteorologists and the general public alike…