Call for Papers
ICPR 2020 2nd Workshop on Deep Understanding Shopper Behaviours and Interactions in Intelligent Retail EnvironmentsMilan - 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.
IMPORTANT DATES
- 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 2020
Topics
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
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
