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ORCIDNicolaj C. Stache
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2020 – today
- 2024
[c15]Pascal Graf, Morris Ohrnberger, Dominic Dötterer, Nicolaj C. Stache:
Semi-supervised Sorting via Deep Feature Extraction and Density Based Clustering with User Feedback. HCI (51) 2024: 337-355- [c14]Valeria Kinitzki, Ana Ramos Wittek, Nicolaj C. Stache:
Knowledge Transfer Reinvented: A Comprehensive Exploration of Heilbronn University's Virtual AI Laboratory and Its Impact on Interdisciplinary Collaboration. HCI (52) 2024: 373-386 - [c13]Nicholas Schloer, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Fabian Schoch, Nicolaj C. Stache, Carsten Wittenberg:
Optimizing the Industrial Human-Machine Interface: Holographic Surfaces and Their Role in Anomaly Detection. HCI (62) 2024: 430-435 - [c12]Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache:
Unlocking Operational Clarity: The Integration of Artificial Intelligence, Digital Twins, and Mixed Reality in Production for Enhanced User Transparency. HCI (52) 2024: 449-460 - 2023
- [c11]Carsten Wittenberg, Sabine Boos, Felix Harst, Carsten Lanquillon, Morris Ohrnberger, Nicholas Schloer, Fabian Schoch, Nicolaj C. Stache:
User Transparency of Artificial Intelligence and Digital Twins in Production - Research on Lead Applications and the Transfer to Industry. HCI (41) 2023: 322-332 - [c10]Moritz Allmendinger, Nicolaj C. Stache, Frank Tränkle:
Integration of Reinforcement Learning into Fluid Control Systems. INDIN 2023: 1-6 - [c9]Marisa Ehemann, Frank Tränkle, Nicolaj C. Stache:
AI-based Cavitation Detection in Process Valves. INDIN 2023: 1-6 - [c8]Nico Hessenthaler, Andreas F. Schneider, Nicolaj C. Stache:
MsSDEdit: Deep Learning Image Enhancement for Automated Bounding Box Annotations in Automotive Monocular Camera Applications. VTC2023-Spring 2023: 1-8 - 2022
- [c7]Fatih S. Bayram, Florian Pütz, Julian Weiß, Roman Radtke, Alexander Jesser, Nicolaj C. Stache:
Classification of Vulnerable Road Users based on Range-Doppler Maps of 77 GHz MIMO Radar using Different Machine Learning Approaches. ICGSP 2022: 27-33 - 2021
- [j1]Marco Altmann
, Peter Ott, Nicolaj C. Stache, Christian Waldschmidt:
Multi-Modal Cross Learning for an FMCW Radar Assisted by Thermal and RGB Cameras to Monitor Gestures and Cooking Processes. IEEE Access 9: 22295-22303 (2021) - [c6]Katrin Renz, Nicolaj C. Stache, Neil Fox, Gül Varol, Samuel Albanie:
Sign Segmentation With Changepoint-Modulated Pseudo-Labelling. CVPR Workshops 2021: 3403-3412 - [c5]Katrin Renz, Nicolaj C. Stache, Samuel Albanie, Gül Varol:
Sign Language Segmentation with Temporal Convolutional Networks. ICASSP 2021: 2135-2139 - [i2]Katrin Renz, Nicolaj C. Stache, Neil Fox, Gül Varol, Samuel Albanie:
Sign Segmentation with Changepoint-Modulated Pseudo-Labelling. CoRR abs/2104.13817 (2021) - 2020
- [c4]Christoph Zieringer, Benedict Bauer, Nicolaj C. Stache, Carsten Wittenberg:
Human-Robot Interaction via a Virtual Twin and OPC UA. AHFE (10) 2020: 101-107 - [i1]Katrin Renz, Nicolaj C. Stache, Samuel Albanie, Gül Varol:
Sign language segmentation with temporal convolutional networks. CoRR abs/2011.12986 (2020)
2010 – 2019
- 2019
- [c3]Carsten Wittenberg, Benedict Bauer, Nicolaj C. Stache:
A Smart Factory in a Laboratory Size for Developing and Testing Innovative Human-Machine Interaction Concepts. AHFE (21) 2019: 160-166 - 2015
- [p1]Martin Punke, Stefan Menzel, Boris Werthessen, Nicolaj C. Stache, Maximilian Höpfl:
Kamera-Hardware. Handbuch Fahrerassistenzsysteme 2015: 347-368
2000 – 2009
- 2007
- [c2]Nicolaj C. Stache, Henrik Zimmer, Jens Gedicke, Alexander Olowinsky, Til Aach:
Robust High-Speed Melt Pool Measurements for Laser Welding with Sputter Detection Capability. DAGM-Symposium 2007: 476-485 - 2006
- [c1]Nicolaj C. Stache, Thomas Stehle, Matthias Mühlich, Til Aach:
Towards multiple-orientation based tensor invariants for object tracking. EUSIPCO 2006: 1-5
Coauthor Index
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