28 citations · 35 across the 14 of their papers we have counts for
7 papers · 1 filter
On the use of learning-based forecasting methods for ameliorating fashion business processes: A position paper
Geri Skenderi, Christian Joppi, Matteo Denitto +1
The fashion industry is one of the most active and competitive markets in the world, manufacturing millions of products and reaching large audiences every year. A plethora of busin…
Leveraging commonsense for object localisation in partial scenes
Francesco Giuliari, Geri Skenderi, Marco Cristani +2
We propose an end-to-end solution to address the problem of object localisation in partial scenes, where we aim to estimate the position of an object in an unknown area given only…
Toward Smart Doors: A Position Paper
Luigi Capogrosso, Geri Skenderi, Federico Girella +2
Conventional automatic doors cannot distinguish between people wishing to pass through the door and people passing by the door, so they often open unnecessarily. This leads to the…
Pose Forecasting in Industrial Human-Robot Collaboration
Alessio Sampieri, Guido D'Amely, Andrea Avogaro +5
Pushing back the frontiers of collaborative robots in industrial environments, we propose a new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For the…
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion
Christian Joppi, Geri Skenderi, Marco Cristani
We propose a data-centric pipeline able to generate exogenous observation data for the New Fashion Product Performance Forecasting (NFPPF) problem, i.e., predicting the performance…
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark
Geri Skenderi, Christian Joppi, Matteo Denitto +2
We present Visuelle 2.0, the first dataset useful for facing diverse prediction problems that a fast-fashion company has to manage routinely. Furthermore, we demonstrate how the us…
Spatial Commonsense Graph for Object Localisation in Partial Scenes
Francesco Giuliari, Geri Skenderi, Marco Cristani +2
We solve object localisation in partial scenes, a new problem of estimating the unknown position of an object (e.g. where is the bag?) given a partial 3D scan of a scene. The propo…