1 citations · 1 across the 5 of their papers we have counts for
8 papers
RGB-to-IR image translation for infrared vehicle detection in unseen UAV domains
Thijs A. Eker, Ella P. Fokkinga, Jan Erik van Woerden +4
Synthetic training data is crucial for developing vision AI when real-world data is scarce, as in thermal infrared (IR) aerial vehicle detection. While abundant UAV RGB imagery mot…
Domain shift-robust object detection with GenAI image editing
Isabel D. Stein, Thijs A. Eker, Sebastiaan P. Snel +4
Object detectors often degrade under domain shifts such as changes in lighting, weather, or occlusion. These shifts alter object appearance and expose a reliance on visual shortcut…
Class-specific diffusion models improve military object detection in a low-data domain
Ella P. Fokkinga, Jan Erik van Woerden, Thijs A. Eker +4
Diffusion-based image synthesis has emerged as a promising source of synthetic training data for AI-based object detection and classification. In this work, we investigate whether…
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Frank A. Ruis, Alma M. Liezenga, Friso G. Heslinga +6
Collecting and annotating real-world data for the development of object detection models is a time-consuming and expensive process. In the military domain in particular, data colle…
Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound
Ruben T. Lucassen, Mohammad H. Jafari, Nicole M. Duggan +18
Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmonary congestion at the patient bedside. B-line artifacts in LUS videos are key fi…
Corneal Pachymetry by AS-OCT after Descemet's Membrane Endothelial Keratoplasty
Friso G. Heslinga, Ruben T. Lucassen, Myrthe A. van den Berg +5
Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet's membrane endothelial keratoplasty (DMEK). Autom…