30 citations · 116 across the 24 of their papers we have counts for
4 papers · 2 filters
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
Giammarco La Barbera, Pietro Gori, Haithem Boussaid +6
Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods. In this work, we…
Knowledge distillation from multi-modal to mono-modal segmentation networks
Minhao Hu, Matthis Maillard, Ya Zhang +4
The joint use of multiple imaging modalities for medical image segmentation has been widely studied in recent years. The fusion of information from different modalities has demonst…
Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example
Robin Kips, Ruowei Jiang, Sileye Ba +5
While makeup virtual-try-on is now widespread, parametrizing a computer graphics rendering engine for synthesizing images of a given cosmetics product remains a challenging task. I…
Approximation of dilation-based spatial relations to add structural constraints in neural networks
Mateus Riva, Pietro Gori, Florian Yger +2
Spatial relations between objects in an image have proved useful for structural object recognition. Structural constraints can act as regularization in neural network training, imp…