ICPR 2020
2nd Workshop on
Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail Environments Milan - Italy - Jan 11th 2021


Call for Papers

ICPR 2020 2nd Workshop on Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail Environments

Milan - Italy - Jan 11th 2021

SCOPE - In retail environments, understanding consumer behaviour is of great importance and one of the keys to success for retailers. While the retail environment has several favourable characteristics that support computer vision, such as reasonable lighting, the large number and diversity of products sold, as well as the potential ambiguity of shoppers' movements, mean that accurately measuring shopper behaviour is still challenging. Over the past years, machine-learning and feature-based tools for people counting as well as interactions analytic and re-identification were developed with the aim of learning shopper skills. However, after moving into the era of multimedia big data, machine-learning approaches evolved into deep learning approaches, which are a more powerful and efficient way of dealing with the complexities of human behaviour. The goal of this workshop is to encourage and highlight novel strategies and original research in computer vision and patter recognition for shoppers’ behavior understanding, building a network between research and industries and a roadmap for future deep learning retail applications.


- Workshop submission open: May 2nd 2020
- Workshop submission deadline: October 10th 2020
- Workshop author notification:  November 10th 2020
- Camera-ready submission: November 15th 2020
- Finalized workshop program: December 1st


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The workshop calls for submissions addressing, but not limited to, the following topics:
• Deep learning architectures for large scale shopper behaviour understanding
• Deep learning for facial analysis
• Deep learning for object recognition
• Deep learning for scene understanding
• Deep learning for activity recognition
• Deep learning for semantic segmentation
• Generative modeling for shopper interactions
• Generative modeling for shopper trajectory generation
• Deep learning for HBA
• Multi-modal deep learning
• Face detection and tracking from video
• Multi-face clustering from video
• Context-aware machine learning and image understanding
• Datasets for Retail
• Edge/Fog/Cloud Architectures for Deep Learning Applications
• Other artificial intelligence methods on shopper behaviour analysis

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Submissions & Important Dates

The submission and review process will be managed with the EasyChair system. DeepRetail 2020 Submission Website
The length of the papers is maximum 8 pages. Papers will be selected by a single blind (reviewers are anonymous) review process based on their originality, relevance, and clarity of presentation. Accepted papers will be included in the ICPR 2020 Workshop Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS). Every accepted paper requires that at least one author is registered with regular registration fee and attending the workshop. Templates and paper formatting instructions are available on the ICPR 2020 web page. Instructions and Templates

  • Submission Deadline: October 10th, 2020
  • Notification of Acceptance: November 10th, 2020
  • Camera-ready Paper: November 15th, 2020


ICPR 2020 2nd Workshop on Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail Environments

Milano - Italy - Jan 11th 2021

The Whorkshop will be held in conjunction with ICPR 2020.

Monday, January 11, 2021 12:00-17:00 Location: On Line

12:00-12:05 Welcome and opening remarks
Emanuele Frontoni - Università Politecnica delle Marche - DEEPRETAIL 2020

12:05-13:20 (Invited Talks) 
Purpose-driven analytics at scale: strategy building blocks
Francesco Marzoni (Nestlè) 

Francesco is Global Data Analytics Officer at Nestlé. He started his career at PG where he held several local and global analytics roles in Italy, Greece, France and Switzerland. Prior to joining Nestle’, he was Vice President of Data Analytics at Bayer. Born in Fermo, Francesco has an academic background in computer engineering, with majors in Operations Research and Artificial Neural Networks. He lives in Switzerland with his wife and their two daughters


Perceiving and Predicting Human behaviours in the built environments
Alexandre Alahi (EPFL, Stanford)

Alexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Post-doc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior. He won the CVPR Open Source Award (2012) for his work on Retina-inspired image descriptors, and the ICDSC Challenge Prize (2009) for his sparsity-driven algorithm that has tracked more than 100 million pedestrians to date. His research has been covered internationally by BBC, abc, PBS, Euronews, Wall street journal, and other national news outlets around the world. Alexandre has also co-founded multiple startups such as Visiosafe, and won several startup competitions. He was elected as one of the Top 20 Swiss Venture leaders in 2010.



Vision-based Shelf Monitoring System for Intelligent Retail
Annalisa Milella, Roberto Marani, Antonio Petitti, Grazia Cicirelli and Tiziana D'Orazio


Faithful Fit, Markerless, 3D Eyeglasses Virtual Try-On
Davide Marelli, Simone Bianco and Gianluigi Ciocca


14:20 Break 


Performance assessment of face analysis algorithms with occluded faces
Antonio Greco, Alessia Saggese, Mario Vento and Vincenzo Vigilante


Shoppers detection analysis in an intelligent retail environment
Laura Della Sciucca, Davide Manco, Marco Contigiani, Rocco Pietrini, Luigi Di Bello and Valerio Placidi


A Saliency-based Technique for Advertisement Layout Optimisation to predict Customers' Behaviour 

Alessandro Bruno, Stéphane Lancette, Morgan Moore, Jinglu Zhang, Ville P Ward and Jian Chang


Data-Driven Knowledge Discovery in Retail: Evidences from the Vending Machine's Industry
Luca Marinelli, Marina Paolanti, Lorenzo Nardi, Patrizia Gabellini, Emanuele Frontoni and Gian Luca Gregori


Who is in the crowd? Deep face analysis for crowd understanding
Simone Bianco, Luigi Celona and Raimondo Schettini


People counting on low cost embedded hardware during the SARS-CoV-2 pandemic
Giulia Pazzaglia, Marco Mameli, Luca Rossi, Marina Paolanti, Adriano Mancini and Primo Zingaretti 


16:40-17.30 Questions & Panel Discussion

Berty Jacob - Senior R&D Manager Unilever 
Paola Romagnoli -  Birra Moretti Marketing Manager & Head of CMI 
Livio Martucci - Solutions Vice President IRI  
Francesco Mammana - Go To Market Leader , LG Electronics Italia 
Andrea Laudadio - Head of TIM a Academy & Development 
Alessandro Barchetti - Digital & Innovation Director, Unes
Marco Zanardi - Presidente Retail Institute of italy 
Valerio Placidi - General Manager Grottini Lab Srl 

17.30 Closing Remarks


The workshop DEEPRETAIL2020 is part of ICPR2020

In collaboration with:

Retail Institute Italy


Scientific & Industrial committees


Emanuele Frontoni, Department of Information Engineering, Università Politecnica delle Marche
Sebastiano Battiato, ​Dipartimento di Matematica ed Informatica,​ ​Università di Catania
Cosimo Distante, Institute of Applied Sciences and Intelligent Systems - ISASI CNR
Marina Paolanti, Department of Information Engineering, Università Politecnica delle Marche
Luigi Di Stefano, ​Dipartimento di Informatica - Scienza e Ingegneria​, Università di Bologna
Giovanni Marina Farinella, ​Dipartimento di Matematica ed Informatica,​ ​Università di Catania
Annette Wolfrath, GFK Verein - Germany
Primo Zingaretti, Department of Information Engineering, Università Politecnica delle Marche
Alessandro Bruno, Faculty of Media & Communication, Bournemouth University - UK
Annalisa Milella, Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing - CNR



Massimo De Benedictis, IPSOS - France, Italy
Luigi Caniglia, Acqua & Sapone- Italy
Fioravante Allegrino , Sogeda - Italy, Poland
Julian Oberndoerfer, ERA Europe - Germany
Stefan Shemann, Harald Wypior, GKF - Germany
Luca Di Camillo, Luxottica - US, Italy
Joe Baer, Zen Genius - US
Nicola Evoli, James Damian Grottini - Italy, US
Vito Micunco, Software Design - Italy
Lorenzo Vorabbi, Datalogic - Italy
Patrizia Gabellini, Valerio Placidi Grottini Lab - Italy

Get In Touch

  • Email m.paolanti@univpm.it
  • Phone +30 071 220 4900
  • Address Dipartimento di Ingegneria dell'Informazione
    Università Politecnica delle Marche UNIVPM
    Ancona - Italy