From Web to Physical and Back: WP User Profiling with Deep Learning. - Christian Joppi; Pietro Lovato; Marco Cristani; Gloria Menegaz (ICWE Workshops, 2018)

Texel-Att: Representing and Classifying Element-Based Textures by Attributes. - Marco Godi; Christian Joppi; Andrea Giachetti 001; Fabio Pellacini; Marco Cristani (BMVC, 2019)

Texture Retrieval in the Wild Through Detection-Based Attributes. - Christian Joppi; Marco Godi; Andrea Giachetti 001; Fabio Pellacini; Marco Cristani (ICIAP (2), 2019)

SIMCO: SIMilarity-based object COunting. - Marco Godi; Christian Joppi; Andrea Giachetti 001; Marco Cristani (ICPR, 2020)

Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends. - Geri Skenderi; Christian Joppi; Matteo Denitto; Marco Cristani (CoRR, 2021)

The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark. - Geri Skenderi; Christian Joppi; Matteo Denitto; Berniero Scarpa; Marco Cristani (CVPR Workshops, 2022)

POP: Mining POtential Performance of New Fashion Products via Webly Cross-modal Query Expansion. - Christian Joppi; Geri Skenderi; Marco Cristani (ECCV (38), 2022)

On the Use of Learning-Based Forecasting Methods for Ameliorating Fashion Business Processes: A Position Paper. - Geri Skenderi; Christian Joppi; Matteo Denitto; Marco Cristani (ICPR Workshops (2), 2022)

MovingFashion: a Benchmark for the Video-to-Shop Challenge. - Marco Godi; Christian Joppi; Geri Skenderi; Marco Cristani (WACV, 2022)