244 citations · 801 across the 34 of their papers we have counts for
9 papers · 2 filters
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…
A Masked Face Classification Benchmark on Low-Resolution Surveillance Images
Federico Cunico, Andrea Toaiari, Marco Cristani
We propose a novel image dataset focused on tiny faces wearing face masks for mask classification purposes, dubbed Small Face MASK (SF-MASK), composed of a collection made from 20k…
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…
I-SPLIT: Deep Network Interpretability for Split Computing
Federico Cunico, Luigi Capogrosso, Francesco Setti +3
This work makes a substantial step in the field of split computing, i.e., how to split a deep neural network to host its early part on an embedded device and the rest on a server.…
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…
SHREC 2022 Track on Online Detection of Heterogeneous Gestures
Ariel Caputo, Marco Emporio, Andrea Giachetti +10
This paper presents the outcomes of a contest organized to evaluate methods for the online recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the de…