Towards optimal force distribution for walking excavators. - Marco Hutter 001; Philipp Leemann; Stefan Stevsic; Andreas Michel; Dominic Jud; Mark A. Höpflinger; Roland Siegwart; Ruedi Figi; Christian Caduff; Markus Loher; Stefan Tagmann (ICAR, 2015)

Hyperspectral Band Selection within a Deep Reinforcement Learning Framework. - Andreas Michel; Wolfgang Groß; Fabian Schenkel; Wolfgang Middelmann (IGARSS, 2020)

Human Interventions in the Smart Factory - A Case Study on Co-Designing Mobile and Wearable Monitoring Systems with Manufacturing Staff. - Matthias Baldauf; Sebastian Müller 009; Arne Seeliger; Tobias Küng; Andreas Michel; Werner Züllig (CHI Extended Abstracts, 2021)

Advanced Ubiquitous Monitoring Services for Workers in Automated Production Environments. - Sebastian Müller 009; Matthias Baldauf; Andreas Michel; Peter Fröhlich 003 (AutomationXP@CHI, 2021)

Class-aware Object Counting. - Andreas Michel; Wolfgang Gross; Fabian Schenkel; Wolfgang Middelmann (WACV (Workshops), 2022)

DustNet: Attention to Dust. - Andreas Michel; Martin Weinmann; Fabian Schenkel; Tomas Gomez; Mark Falvey; Rainer Schmitz; Wolfgang Middelmann; Stefan Hinz (DAGM, 2023)

Terrestrial Visual Dust Density Estimation Based On Deep Learning. - Andreas Michel; Martin Weinmann; Fabian Schenkel; Thomas Gomez; Mark Falvey; Rainer Schmitz; Wolfgang Middelmann; Stefan Hinz (IGARSS, 2023)

The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (CoRR, 2023)

Comparing Machine Learning and Classical Approaches for Detection of Camouflage Targets in Hyperspectral Data. - Wolfgang Gross; Simon Schreiner; Jannick Kuester; Andreas Michel; Wolfgang Middelmann; Marius Vögtli; Luc Sierro; Mathias Kneubühler (IGARSS, 2024)

3D-Hybrid Convolutional Autoencoder Model for Hyperspectral Satellite Data Compression. - Jannick Kuester; Wolfgang Gross; Andreas Michel; Simon Schreiner; Wolfgang Middelmann; Michael Heizmann (IGARSS, 2024)

2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. - Benjamin Kiefer; Lojze Zust; Matej Kristan; Janez Pers; Matija Tersek; Arnold Wiliem; Martin Messmer; Cheng-Yen Yang; Hsiang-Wei Huang; Zhongyu Jiang; Heng-Cheng Kuo; Jie Mei 003; et al. (WACV (Workshops), 2024)

Effects of a Multi-Sensor Convolutional Autoencoder Model for Lossy Hyperspectral Data Compression on Surveillance Target Detection. - Jannick Kuester; Andreas Michel; Simon Schreiner; Wolfgang Middelmann; Wolfgang Gross; Michael Heizmann (WHISPERS, 2024)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (WACV (Workshops), 2025)

3rd Workshop on Maritime Computer Vision (MaCVi) 2025: Challenge Results. - Benjamin Kiefer; Lojze Zust; Jon Muhovic; Matej Kristan; Janez Pers; Matija Tersek; Uma Mudenagudi; Chaitra Desai; Arnold Wiliem; Marten Kreis; Nikhil Akalwadi; Yitong Quan; et al. (CoRR, 2025)

DustNet++: Deep Learning-Based Visual Regression for Dust Density Estimation. - Andreas Michel; Martin Weinmann; Jannick Kuester; Faisal Alnasser; Tomas Gomez; Mark Falvey; Rainer Schmitz; Wolfgang Middelmann; Stefan Hinz (Int. J. Comput. Vis., 2025)