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20212026
most citedWell Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends

28 citations · 35 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022★ 2 cited

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…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2021

MovingFashion: a Benchmark for the Video-to-Shop Challenge

Marco Godi, Christian Joppi, Geri Skenderi +1

Retrieving clothes which are worn in social media videos (Instagram, TikTok) is the latest frontier of e-fashion, referred to as "video-to-shop" in the computer vision literature.…

cs.CV2021★ 28 cited

Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends

Geri Skenderi, Christian Joppi, Matteo Denitto +1

New fashion product sales forecasting is a challenging problem that involves many business dynamics and cannot be solved by classical forecasting approaches. In this paper, we inve…