9 citations · 24 across the 7 of their papers we have counts for
7 papers
A one-armed CNN for exoplanet detection from light curves
Koko Visser, Bas Bosma, Eric Postma
We propose Genesis, a one-armed simplified Convolutional Neural Network (CNN)for exoplanet detection, and compare it to the more complex, two-armed CNN called Astronet. Furthermore…
Reducing Artificial Neural Network Complexity: A Case Study on Exoplanet Detection
Sebastiaan Koning, Caspar Greeven, Eric Postma
Despite their successes in the field of self-learning AI, Convolutional Neural Networks (CNNs) suffer from having too many trainable parameters, impacting computational performance…
Light-weight pixel context encoders for image inpainting
Nanne van Noord, Eric Postma
In this work we propose Pixel Content Encoders (PCE), a light-weight image inpainting model, capable of generating novel con-tent for large missing regions in images. Unlike previo…
Learning scale-variant and scale-invariant features for deep image classification
Nanne van Noord, Eric Postma
Convolutional Neural Networks (CNNs) require large image corpora to be trained on classification tasks. The variation in image resolutions, sizes of objects and patterns depicted,…
Exploring the influence of scale on artist attribution
Nanne van Noord, Eric Postma
Previous work has shown that the artist of an artwork can be identified by use of computational methods that analyse digital images. However, the digitised artworks are often inves…
Circle-based Eye Center Localization (CECL)
Yustinus Eko Soelistio, Eric Postma, Alfons Maes
We propose an improved eye center localization method based on the Hough transform, called Circle-based Eye Center Localization (CECL) that is simple, robust, and achieves accuracy…