| 2024 | KES | Extraction of Measurement Device Information on an ESP32 Microcontroller: TinyML for Image Processing. | Jonas Paul, Lukas Schmid, Marco Klaiber, Manfred Rssle |
| 2023 | CHI | Statistically Controlling for Processing Fluency Reduces the Aesthetic-Usability Effect. | Jan Preler, Lukas Schmid, Jrn Hurtienne |
| 2023 | ICRA | 3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs. | Samuel Looper, Javier Rodriguez Puigvert, Roland Siegwart, Cesar Cadena, Lukas Schmid |
| 2023 | INDIN | Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data. | Felix Gerschner, Jonas Paul, Lukas Schmid, Nico Barthel, Victor Gouromichos, Florian Schmid, Martin Atzmueller, Andreas Theissler |
| 2022 | ICRA | Panoptic Multi-TSDFs: a Flexible Representation for Online Multi-resolution Volumetric Mapping and Long-term Dynamic Scene Consistency. | Lukas Schmid, Jeffrey A. Delmerico, Johannes L. Schnberger, Juan I. Nieto, Marc Pollefeys, Roland Siegwart, Csar Cadena |
| 2021 | TEI | Impressions at First Touch: Insights on how visually impaired persons form their first impressions of technology. | Robin Abendschein, Selina Pauli, Lukas Schmid, Stephan Huber |
| 2019 | IRI | Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform. | Rdiger Pryss, Dennis John, Manfred Reichert, Burkhard Hoppenstedt, Lukas Schmid, Winfried Schlee, Myra Spiliopoulou, Johannes Schobel, Robin Kraft, Marc Schickler, Berthold Langguth, Thomas Probst |