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3 papers
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…