16 citations · 29 across the 29 of their papers we have counts for
3 papers · 2 filters
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano
Performance achievable by modern deep learning approaches are directly related to the amount of data used at training time. Unfortunately, the annotation process is notoriously ted…
Real-time self-adaptive deep stereo
Alessio Tonioni, Fabio Tosi, Matteo Poggi +2
Deep convolutional neural networks trained end-to-end are the state-of-the-art methods to regress dense disparity maps from stereo pairs. These models, however, suffer from a notab…
A deep learning pipeline for product recognition on store shelves
Alessio Tonioni, Eugenio Serra, Luigi Di Stefano
Recognition of grocery products in store shelves poses peculiar challenges. Firstly, the task mandates the recognition of an extremely high number of different items, in the order…