Deep Vision Systems

Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models (2023) Zipfel J, Verworner F, Fischer M, Wieland U, Kraus M, Zschech P Journal article labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds (2022) Sager C, Zschech P, Kühl N Journal article, Original article A Light in the Dark: Deep Learning Practices for Industrial Computer Vision (2022) Harl M, Herchenbach M, Kruschel S, Hambauer N, Zschech P, Kraus M Conference contribution, Conference Contribution Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern (2021) Zschech P, Sager C, Siebers P, Pertermann M Journal article labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds (2021) Sager C, Zschech P, Kühl N Conference contribution A Survey of Image Labelling for Computer Vision Applications (2021) Sager C, Janiesch C, Zschech P Journal article Machine Learning and Deep Learning (2021) Janiesch C, Zschech P, Heinrich K Journal article Deep Learning in der Landwirtschaft – Analyse eines Weinbergs (2021) Zschech P, Heinrich K, Möller B, Breithaupt L, Maresch J, Roth A Book chapter / Article in edited volumes A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems (2021) Zschech P, Walk J, Heinrich K, Vössing M, Kühl N Conference contribution Review and Systematization of Solutions for 3D Object Detection (2020) Friederich J, Zschech P Conference contribution