activity
20172023
most citedUnsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey

26 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20231 cited

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation

Subhankar Roy, Riccardo Volpi, Gabriela Csurka +1

Class-incremental semantic image segmentation assumes multiple model updates, each enriching the model to segment new categories. This is typically carried out by providing expensi…

cs.CV20232 cited

Reliability in Semantic Segmentation: Are We on the Right Track?

Pau de Jorge, Riccardo Volpi, Philip Torr +1

Motivated by the increasing popularity of transformers in computer vision, in recent times there has been a rapid development of novel architectures. While in-domain performance fo…

cs.CV20239 cited

Semantic Image Segmentation: Two Decades of Research

Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii

Semantic image segmentation (SiS) plays a fundamental role in a broad variety of computer vision applications, providing key information for the global understanding of an image. T…

cs.CV202126 cited

Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey

Gabriela Csurka, Riccardo Volpi, Boris Chidlovskii

Semantic segmentation plays a fundamental role in a broad variety of computer vision applications, providing key information for the global understanding of an image. Yet, the stat…

cs.CV20177 cited

Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines

Matteo Zanotto, Riccardo Volpi, Alessandro Maccione +3

The retina is a complex nervous system which encodes visual stimuli before higher order processing occurs in the visual cortex. In this study we evaluated whether information about…