Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing. - André Luckow; Ken Kennedy; Marcin Ziolkowski; Emil Djerekarov; Matthew Cook 004; Edward B. Duffy; Michael Schleiss; Bennie Vorster; Edwin Weill; Ankit Kulshrestha; Melissa C. Smith (IEEE BigData, 2018)

Analysis of the discriminative generalized Hough transform as a proposal generator for a deep network in automatic pedestrian and car detection. - Eric Gabriel; Michael Schleiss; Hauke Schramm; Carsten Meyer (J. Electronic Imaging, 2018)

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. - Dawei Du; Longyin Wen; Pengfei Zhu 001; Heng Fan 001; Qinghua Hu; Haibin Ling; Mubarak Shah; Junwen Pan; Apostolos Axenopoulos; Arne Schumann; Athanasios Psaltis; Ayush Jain; et al. (ECCV Workshops (4), 2020)

VPAIR - Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments. - Michael Schleiss; Fahmi Rouatbi; Daniel Cremers (CoRR, 2022)

Using Simulations to Develop Terrain-Relative Navigation for Mars-UAVs: Is it realistic enoughƒ. - Max Hofacker; Michael Schleiss; Thomas Pany; Roger Förstner (PLANS, 2025)