13 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
Hallucinating Agnostic Images to Generalize Across Domains
Fabio M. Carlucci, Paolo Russo, Tatiana Tommasi +1
The ability to generalize across visual domains is crucial for the robustness of artificial recognition systems. Although many training sources may be available in real contexts, t…
From source to target and back: symmetric bi-directional adaptive GAN
Paolo Russo, Fabio Maria Carlucci, Tatiana Tommasi +1
The effectiveness of generative adversarial approaches in producing images according to a specific style or visual domain has recently opened new directions to solve the unsupervis…
A deep representation for depth images from synthetic data
Fabio Maria Carlucci, Paolo Russo, Barbara Caputo
Convolutional Neural Networks (CNNs) trained on large scale RGB databases have become the secret sauce in the majority of recent approaches for object categorization from RGB-D dat…
Learning the Roots of Visual Domain Shift
Tatiana Tommasi, Martina Lanzi, Paolo Russo +1
In this paper we focus on the spatial nature of visual domain shift, attempting to learn where domain adaptation originates in each given image of the source and target set. We bor…