35 citations · 103 across the 7 of their papers we have counts for
7 papers
Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration
Louie Søs Meyer, Johanne Engel Aaen, Anitamalina Regitse Tranberg +4
This Research through Design paper explores how object detection may be applied to a large digital art museum collection to facilitate new ways of encountering and experiencing art…
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints
Matthias Freiberger, Peter Kun, Christian Igel +2
Models leveraging both visual and textual data such as Contrastive Language-Image Pre-training (CLIP), are the backbone of many recent advances in artificial intelligence. In this…
MarioGPT: Open-Ended Text2Level Generation through Large Language Models
Shyam Sudhakaran, Miguel González-Duque, Claire Glanois +3
Procedural Content Generation (PCG) is a technique to generate complex and diverse environments in an automated way. However, while generating content with PCG methods is often str…
Hardware-aware mobile building block evaluation for computer vision
Maxim Bonnaerens, Matthias Freiberger, Marian Verhelst +1
In this work we propose a methodology to accurately evaluate and compare the performance of efficient neural network building blocks for computer vision in a hardware-aware manner.…
Anchor Pruning for Object Detection
Maxim Bonnaerens, Matthias Freiberger, Joni Dambre
This paper proposes anchor pruning for object detection in one-stage anchor-based detectors. While pruning techniques are widely used to reduce the computational cost of convolutio…
Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping
Matthias Freiberger, Peter Bienstman, Joni Dambre
Photonic reservoir computing is a promising candidate for low-energy computing at high bandwidths. Despite recent successes, there are bounds to what one can achieve simply by maki…
Training Passive Photonic Reservoirs with Integrated Optical Readout
Matthias Freiberger, Andrew Katumba, Peter Bienstman +1
As Moore's law comes to an end, neuromorphic approaches to computing are on the rise. One of these, passive photonic reservoir computing, is a strong candidate for computing at hig…