62 citations · 75 across the 4 of their papers we have counts for
4 papers
Semantically Consistent Image-to-Image Translation for Unsupervised Domain Adaptation
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. In this work, we investigate the pr…
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
Nikolas Klug, Moritz Einfalt, Stephan Brehm +1
The current state-of-the-art in monocular 3D human pose estimation is heavily influenced by weakly supervised methods. These allow 2D labels to be used to learn effective 3D human…
Multimodal Image Captioning for Marketing Analysis
Philipp Harzig, Stephan Brehm, Rainer Lienhart +2
Automatically captioning images with natural language sentences is an important research topic. State of the art models are able to produce human-like sentences. These models typic…
Improving Small Object Proposals for Company Logo Detection
Christian Eggert, Dan Zecha, Stephan Brehm +1
Many modern approaches for object detection are two-staged pipelines. The first stage identifies regions of interest which are then classified in the second stage. Faster R-CNN is…