5 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Cut-and-Splat: Leveraging Gaussian Splatting for Synthetic Data Generation
Bram Vanherle, Brent Zoomers, Jeroen Put +2
Generating synthetic images is a useful method for cheaply obtaining labeled data for training computer vision models. However, obtaining accurate 3D models of relevant objects is…
cs.CV2022★ 5 cited
Analysis of Training Object Detection Models with Synthetic Data
Bram Vanherle, Steven Moonen, Frank Van Reeth +1
Recently, the use of synthetic training data has been on the rise as it offers correctly labelled datasets at a lower cost. The downside of this technique is that the so-called dom…
cs.CV2022★ 5 cited
Real-time Detection of 2D Tool Landmarks with Synthetic Training Data
Bram Vanherle, Jeroen Put, Nick Michiels +1
In this paper a deep learning architecture is presented that can, in real time, detect the 2D locations of certain landmarks of physical tools, such as a hammer or screwdriver. To…