2.6k citations · 4.1k across the 20 of their papers we have counts for
4 papers · 1 filter
A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
Patrick Zschech, Jannis Walk, Kai Heinrich +2
Computer vision (CV) techniques try to mimic human capabilities of visual perception to support labor-intensive and time-consuming tasks like the recognition and localization of cr…
A survey of image labelling for computer vision applications
Christoph Sager, Christian Janiesch, Patrick Zschech
Supervised machine learning methods for image analysis require large amounts of labelled training data to solve computer vision problems. The recent rise of deep learning algorithm…
Machine learning and deep learning
Christian Janiesch, Patrick Zschech, Kai Heinrich
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of systems to learn from problem-…
labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
Christoph Sager, Patrick Zschech, Niklas Kühl
Within the past decade, the rise of applications based on artificial intelligence (AI) in general and machine learning (ML) in specific has led to many significant contributions wi…