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Chapter and Conference Paper
On the Use of Learning-Based Forecasting Methods for Ameliorating Fashion Business Processes: A Position Paper
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 business processes are involved i...
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Chapter and Conference Paper
Toward Smart Doors: A Position Paper
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 need to adopt new systems in ...
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Chapter and Conference Paper
POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query Expansion
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 of a brand-new clothing prob...
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Chapter and Conference Paper
Pose Forecasting in Industrial Human-Robot Collaboration
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 first time, SeS-GCN bottlene...
