69 citations · 217 across the 36 of their papers we have counts for
6 papers · 1 filter
Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
Constantin Seibold, Simon Reiß, Jens Kleesiek +1
Producing densely annotated data is a difficult and tedious task for medical imaging applications. To address this problem, we propose a novel approach to generate supervision for…
Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation
Haobin Tan, Chang Chen, Xinyu Luo +4
Lacking the ability to sense ambient environments effectively, blind and visually impaired people (BVIP) face difficulty in walking outdoors, especially in urban areas. Therefore,…
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video Games
Alina Roitberg, David Schneider, Aulia Djamal +3
Recognizing Activities of Daily Living (ADL) is a vital process for intelligent assistive robots, but collecting large annotated datasets requires time-consuming temporal labeling…
Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction
Zdravko Marinov, Stanka Vasileva, Qing Wang +3
Drones have become a common tool, which is utilized in many tasks such as aerial photography, surveillance, and delivery. However, operating a drone requires more and more interact…
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß, Constantin Seibold, Alexander Freytag +2
Pixel-wise segmentation is one of the most data and annotation hungry tasks in our field. Providing representative and accurate annotations is often mission-critical especially for…
Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
Constantin Seibold, Matthias A. Fink, Charlotte Goos +4
Detector-based spectral computed tomography is a recent dual-energy CT (DECT) technology that offers the possibility of obtaining spectral information. From this spectral data, dif…