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

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

20 September 2021

Christian Joppi

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

8 / 8 papers shown

Title
Multi-modal Time Series Analysis: A Tutorial and Survey Yushan Jiang Kanghui Ning Zijie Pan Xuyang Shen Jingchao Ni Wenchao Yu Anderson Schneider Haifeng Chen Yuriy Nevmyvaka Dongjin Song AI4TS 72 0 0 17 Mar 2025
MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting Andrea Avogaro Luigi Capogrosso Franco Fummi Marco Cristani DiffM 94 0 0 07 Dec 2024
Design-time Fashion Popularity Forecasting in VR Environments Stefanos-Iordanis Papadopoulos C. Koutlis Anastasios Papazoglou-Chalikias Symeon Papadopoulos S. Nikolopoulos 11 0 0 14 Dec 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 AI4TS AI4CE 8 1 0 09 Nov 2022
VICTOR: Visual Incompatibility Detection with Transformers and Fashion-specific contrastive pre-training Stefanos-Iordanis Papadopoulos C. Koutlis Symeon Papadopoulos Y. Kompatsiaris 15 2 0 27 Jul 2022
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion Christian Joppi Geri Skenderi Marco Cristani 16 3 0 22 Jul 2022
The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark Geri Skenderi Christian Joppi Matteo Denitto Berniero Scarpa Marco Cristani 6 4 0 14 Apr 2022
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products Stefanos-Iordanis Papadopoulos C. Koutlis Symeon Papadopoulos Y. Kompatsiaris 11 20 0 08 Apr 2022