activity
20202024
most citedMobilityDL: A Review of Deep Learning From Trajectory Data

42 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 42 cited

MobilityDL: A Review of Deep Learning From Trajectory Data

Anita Graser, Anahid Jalali, Jasmin Lampert +2

Trajectory data combines the complexities of time series, spatial data, and (sometimes irrational) movement behavior. As data availability and computing power have increased, so ha…

cs.LG2023★ 1 cited

Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications

Viktorija Pruckovskaja, Axel Weissenfeld, Clemens Heistracher +5

Data-driven machine learning is playing a crucial role in the advancements of Industry 4.0, specifically in enhancing predictive maintenance and quality inspection. Federated learn…

cs.CV2023

MCLFIQ: Mobile Contactless Fingerprint Image Quality

Jannis Priesnitz, Axel Weißenfeld, Laurenz Ruzicka +4

We propose MCLFIQ: Mobile Contactless Fingerprint Image Quality, the first quality assessment algorithm for mobile contactless fingerprint samples. To this end, we re-trained the N…

cs.CV2022★ 4 cited

Deep Vehicle Detection in Satellite Video

Roman Pflugfelder, Axel Weissenfeld, Julian Wagner

This work presents a deep learning approach for vehicle detection in satellite video. Vehicle detection is perhaps impossible in single EO satellite images due to the tininess of v…

cs.CV2020★ 11 cited

On Learning Vehicle Detection in Satellite Video

Roman Pflugfelder, Axel Weissenfeld, Julian Wagner

Vehicle detection in aerial and satellite images is still challenging due to their tiny appearance in pixels compared to the overall size of remote sensing imagery. Classical metho…