88 citations · 224 across the 20 of their papers we have counts for
4 papers · 1 filter
MetalGAN: Multi-Domain Label-Less Image Synthesis Using cGANs and Meta-Learning
Tomaso Fontanini, Eleonora Iotti, Luca Donati +1
Image synthesis is currently one of the most addressed image processing topic in computer vision and deep learning fields of study. Researchers have tackled this problem focusing t…
MetalGAN: a Cluster-based Adaptive Training for Few-Shot Adversarial Colorization
Tomaso Fontanini, Eleonora Iotti, Andrea Prati
In recent years, the majority of works on deep-learning-based image colorization have focused on how to make a good use of the enormous datasets currently available. What about whe…
Genetic Algorithms for the Optimization of Diffusion Parameters in Content-Based Image Retrieval
Federico Magliani, Laura Sani, Stefano Cagnoni +1
Several computer vision and artificial intelligence projects are nowadays exploiting the manifold data distribution using, e.g., the diffusion process. This approach has produced d…
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval
Federico Magliani, Kevin McGuinness, Eva Mohedano +1
The application of the diffusion in many computer vision and artificial intelligence projects has been shown to give excellent improvements in performance. One of the main bottlene…