Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation

no code implementations • 5 Nov 2021 • Stephan Brehm, Sebastian Scherer, Rainer Lienhart

Unsupervised Domain Adaptation (UDA) aims to adapt models trained on a source domain to a new target domain where no labelled data is available.

Image-to-Image Translation Semantic Segmentation +2

Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation

no code implementations • 23 Oct 2020 • Nikolas Klug, Moritz Einfalt, Stephan Brehm, Rainer Lienhart

Our paper thus establishes a theoretical baseline that shows the importance of suitable projection models in weakly supervised 3D human pose estimation.

Monocular 3D Human Pose Estimation Position +1

Multimodal Image Captioning for Marketing Analysis

no code implementations • 6 Feb 2018 • Philipp Harzig, Stephan Brehm, Rainer Lienhart, Carolin Kaiser, René Schallner

Thanks to adding the third output modality, it also considerably improves the quality of generated captions for images depicting branded products.

Image Captioning Marketing

Improving Small Object Proposals for Company Logo Detection

no code implementations • 28 Apr 2017 • Christian Eggert, Dan Zecha, Stephan Brehm, Rainer Lienhart

Many modern approaches for object detection are two-staged pipelines.

Object object-detection +1