Towards multiple-orientation based tensor invariants for object tracking. - Nicolaj C. Stache; Thomas Stehle; Matthias Mühlich; Til Aach (EUSIPCO, 2006)

Robust High-Speed Melt Pool Measurements for Laser Welding with Sputter Detection Capability. - Nicolaj C. Stache; Henrik Zimmer; Jens Gedicke; Alexander Olowinsky; Til Aach (DAGM-Symposium, 2007)

Kamera-Hardware. - Martin Punke; Stefan Menzel; Boris Werthessen; Nicolaj C. Stache; Maximilian Höpfl (Handbuch Fahrerassistenzsysteme, 2015)

A Smart Factory in a Laboratory Size for Developing and Testing Innovative Human-Machine Interaction Concepts. - Carsten Wittenberg; Benedict Bauer; Nicolaj C. Stache (AHFE (21), 2019)

Human-Robot Interaction via a Virtual Twin and OPC UA. - Christoph Zieringer; Benedict Bauer; Nicolaj C. Stache; Carsten Wittenberg (AHFE (10), 2020)

Sign Segmentation With Changepoint-Modulated Pseudo-Labelling. - Katrin Renz; Nicolaj C. Stache; Neil Fox; Gül Varol; Samuel Albanie (CVPR Workshops, 2021)

Sign Language Segmentation with Temporal Convolutional Networks. - Katrin Renz; Nicolaj C. Stache; Samuel Albanie; Gül Varol (ICASSP, 2021)

Multi-Modal Cross Learning for an FMCW Radar Assisted by Thermal and RGB Cameras to Monitor Gestures and Cooking Processes. - Marco Altmann; Peter Ott; Nicolaj C. Stache; Christian Waldschmidt (IEEE Access, 2021)

Classification of Vulnerable Road Users based on Range-Doppler Maps of 77 GHz MIMO Radar using Different Machine Learning Approaches. - Fatih S. Bayram; Florian Pütz; Julian Weiß; Roman Radtke; Alexander Jesser; Nicolaj C. Stache (ICGSP, 2022)

User Transparency of Artificial Intelligence and Digital Twins in Production - Research on Lead Applications and the Transfer to Industry. - Carsten Wittenberg; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Nicholas Schloer; Fabian Schoch; Nicolaj C. Stache (HCI (41), 2023)

Integration of Reinforcement Learning into Fluid Control Systems. - Moritz Allmendinger; Nicolaj C. Stache; Frank Tränkle (INDIN, 2023)

AI-based Cavitation Detection in Process Valves. - Marisa Ehemann; Frank Tränkle; Nicolaj C. Stache (INDIN, 2023)

MsSDEdit: Deep Learning Image Enhancement for Automated Bounding Box Annotations in Automotive Monocular Camera Applications. - Nico Hessenthaler; Andreas F. Schneider; Nicolaj C. Stache (VTC2023-Spring, 2023)

Deep Anomaly Detection with Extended Transformer-Based Model on Tennessee Eastman Process Dataset. - Fabian Schoch; Pascal Graf; Tobias Schmieg; Carsten Wittenberg; Carsten Lanquillon; Nicolaj C. Stache (CSIT, 2024)

Semi-supervised Sorting via Deep Feature Extraction and Density Based Clustering with User Feedback. - Pascal Graf; Morris Ohrnberger; Dominic Dötterer; Nicolaj C. Stache (HCI (51), 2024)

Knowledge Transfer Reinvented: A Comprehensive Exploration of Heilbronn University's Virtual AI Laboratory and Its Impact on Interdisciplinary Collaboration. - Valeria Kinitzki; Ana Ramos Wittek; Nicolaj C. Stache (HCI (52), 2024)

Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection. - Nicholas Schloer; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Fabian Schoch; Nicolaj C. Stache; Carsten Wittenberg (HCI (62), 2024)

Unlocking Operational Clarity: The Integration of Artificial Intelligence, Digital Twins, and Mixed Reality in Production for Enhanced User Transparency. - Carsten Wittenberg; Sabine Boos; Felix Harst; Carsten Lanquillon; Morris Ohrnberger; Nicholas Schloer; Fabian Schoch; Nicolaj C. Stache (HCI (52), 2024)

AI-Supported Root Cause Analysis in Automotive Quality Problem Solving: A Cross Domain Literature Review. - Patrick Kaftan; Carsten Lanquillon; Nicolaj C. Stache (HCI (55), 2025)

Visual Instruction as an Intuitive Interface for Robotic Sorting. - Adam T. Müller; Nicolaj C. Stache (HCI (57), 2025)

Enhancing Knowledge Preservation in Machine Learning Research: Jupyter Notebooks as an Interactive Documentation Tool. - Tobias Schmieg; Fabian Schoch; Nicholas Schloer; Carsten Lanquillon; Carsten Wittenberg; Nicolaj C. Stache (HCI (66), 2025)

Anomaly Detection on Real-World Industrial Manufacturing Applications with Additional Anomaly Type Clustering. - Fabian Schoch; Pascal Graf; Tobias Schmieg; Nicholas Schloer; Carsten Wittenberg; Carsten Lanquillon; Nicolaj C. Stache (HCI (57), 2025)