264 citations · 282 across the 3 of their papers we have counts for
4 papers
Guided Image Generation with Conditional Invertible Neural Networks
Lynton Ardizzone, Carsten Lüth, Jakob Kruse +2
In this work, we address the task of natural image generation guided by a conditioning input. We introduce a new architecture called conditional invertible neural network (cINN). T…
Augmented Reality Meets Computer Vision : Efficient Data Generation for Urban Driving Scenes
Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder +2
The success of deep learning in computer vision is based on availability of large annotated datasets. To lower the need for hand labeled images, virtually rendered 3D worlds have r…
Crowd Sourcing Image Segmentation with iaSTAPLE
Dmitrij Schlesinger, Florian Jug, Gene Myers +2
We propose a novel label fusion technique as well as a crowdsourcing protocol to efficiently obtain accurate epithelial cell segmentations from non-expert crowd workers. Our label…
Joint M-Best-Diverse Labelings as a Parametric Submodular Minimization
Alexander Kirillov, Alexander Shekhovtsov, Carsten Rother +1
We consider the problem of jointly inferring the M-best diverse labelings for a binary (high-order) submodular energy of a graphical model. Recently, it was shown that this problem…