29 citations · 34 across the 6 of their papers we have counts for
6 papers
Explicitly Representing Syntax Improves Sentence-to-layout Prediction of Unexpected Situations
Wolf Nuyts, Ruben Cartuyvels, Marie-Francine Moens
Recognizing visual entities in a natural language sentence and arranging them in a 2D spatial layout require a compositional understanding of language and space. This task of layou…
Implicit Temporal Reasoning for Evidence-Based Fact-Checking
Liesbeth Allein, Marlon Saelens, Ruben Cartuyvels +1
Leveraging contextual knowledge has become standard practice in automated claim verification, yet the impact of temporal reasoning has been largely overlooked. Our study demonstrat…
Optimizing ship detection efficiency in SAR images
Arthur Van Meerbeeck, Jordy Van Landeghem, Ruben Cartuyvels +1
The detection and prevention of illegal fishing is critical to maintaining a healthy and functional ecosystem. Recent research on ship detection in satellite imagery has focused ex…
Discrete and continuous representations and processing in deep learning: Looking forward
Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens
Discrete and continuous representations of content (e.g., of language or images) have interesting properties to be explored for the understanding of or reasoning with this content…
Two-phase training mitigates class imbalance for camera trap image classification with CNNs
Farjad Malik, Simon Wouters, Ruben Cartuyvels +2
By leveraging deep learning to automatically classify camera trap images, ecologists can monitor biodiversity conservation efforts and the effects of climate change on ecosystems m…
Autoregressive Reasoning over Chains of Facts with Transformers
Ruben Cartuyvels, Graham Spinks, Marie-Francine Moens
This paper proposes an iterative inference algorithm for multi-hop explanation regeneration, that retrieves relevant factual evidence in the form of text snippets, given a natural…