23 citations · 31 across the 4 of their papers we have counts for
4 papers
Unsupervised Topic Segmentation of Meetings with BERT Embeddings
Alessandro Solbiati, Kevin Heffernan, Georgios Damaskinos +3
Topic segmentation of meetings is the task of dividing multi-person meeting transcripts into topic blocks. Supervised approaches to the problem have proven intractable due to the d…
Jointly Aligning Millions of Images with Deep Penalised Reconstruction Congealing
Roberto Annunziata, Christos Sagonas, Jacques Cali
Extrapolating fine-grained pixel-level correspondences in a fully unsupervised manner from a large set of misaligned images can benefit several computer vision and graphics problem…
SCRAM: Spatially Coherent Randomized Attention Maps
Dan A. Calian, Peter Roelants, Jacques Cali +4
Attention mechanisms and non-local mean operations in general are key ingredients in many state-of-the-art deep learning techniques. In particular, the Transformer model based on m…
DeSTNet: Densely Fused Spatial Transformer Networks
Roberto Annunziata, Christos Sagonas, Jacques Calì
Modern Convolutional Neural Networks (CNN) are extremely powerful on a range of computer vision tasks. However, their performance may degrade when the data is characterised by larg…