A multiresolution 100-GOPS 4-Gpixels/s programmable smart vision sensor for multisense imaging. - Leif Lindgren; Johan Melander; Robert Johansson; Björn Möller (IEEE J. Solid State Circuits, 2005)

How Sustainable is COBIT 5? Insights from Theoretical Analysis and Empirical Survey Data. - Björn Möller; Koray Erek; Fabian Loeser; Rüdiger Zarnekow (AMCIS, 2013)

Promoting a-priori Interoperability of HLA-Based Simulations in the Space Domain: The SISO Space Reference FOM Initiative. - Björn Möller; Alfredo Garro; Alberto Falcone; Edwin Z. Crues; Daniel E. Dexter (DS-RT, 2016)

On the execution control of HLA federations using the SISO space reference FOM. - Björn Möller; Alfredo Garro; Alberto Falcone; Edwin Z. Crues; Daniel E. Dexter (DS-RT, 2017)

Experiences in using the siso space reference fom standard. - Björn Möller; Alberto Falcone; Alfredo Garro; Edwin Z. Crues (SummerSim, 2019)

Yield Prognosis for the Agrarian Management of Vineyards using Deep Learning for Object Counting. - Kai Heinrich; Andreas Roth; Lukas Breithaupt; Björn Möller; Johannes Maresch (Wirtschaftsinformatik, 2019)

Objekterkennung im Weinanbau - Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning. - Kai Heinrich; Patrick Zschech; Björn Möller; Lukas Breithaupt; Johannes Maresch (HMD Prax. Wirtsch., 2019)

Enabling Simulation Interoperability between International Standards in the Space Domain. - Edwin Z. Crues; Daniel E. Dexter; Alberto Falcone; Alfredo Garro; Björn Möller (DS-RT, 2022)

SpaceFOM - A robust standard for enabling a-priori interoperability of HLA-based space systems simulations. - Edwin Z. Crues; Daniel E. Dexter; Alberto Falcone; Alfredo Garro; Björn Möller (J. Simulation, 2022)

A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy. - Björn Möller; Jan Pirklbauer; Marvin Klingner; Peer Kasten; Markus Etzkorn; Tim J. Seifert; Uta Schlickum; Tim Fingscheidt (CVPR Workshops, 2023)

Relaxed Attention for Transformer Models. - Timo Lohrenz; Björn Möller; Zhengyang Li; Tim Fingscheidt (IJCNN, 2023)

An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition. - Zhengyang Li; Chenwei Liang; Timo Lohrenz; Marvin Sach; Björn Möller; Tim Fingscheidt (INTERSPEECH, 2023)

Low-Resolution-Only Microscopy Super-Resolution Models Generalizing to Non-Periodicities at Atomic Scale. - Björn Möller; Zhengyang Li; Markus Etzkorn; Tim Fingscheidt (CVPR Workshops, 2024)

A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only. - Björn Möller; Lucas Görnhardt; Tim Fingscheidt (CoRR, 2025)