2021 Proceeding- General Chairs:
- Michael Spranger,
- Shuqiang Jiang,
- Chong-Wah Ngo,
- Program Chair:
- Ricardo Guerrero
- Sponsor:
- sigmm
It is our great pleasure to welcome you to the 3rd workshop on AIxFood. This year's workshop continues its tradition of bringing together Food AI researchers from both academic and industrial background. The mission of the workshop is to share and explore the intersection between all aspects of food and AI.
Proceeding Downloads
Analyzing and Recognizing Food in Constrained and Unconstrained Environments
Recently, Computer Vision based image analysis techniques have attracted a lot of attention because they are used to develop automatic dietary monitoring applications. Food recognition is a quite challenging task: it is a non-rigid object, and is ...
3D Mesh Reconstruction of Foods from a Single Image
Dietary calorie management has been an important topic in recent years, and various methods and applications on image-based food calorie estimation have been published in the multimedia community. Most of the existing methods of estimating food calorie ...
A Generic Few-Shot Solution for Food Shelf-Life Prediction using Meta-Learning
Checking the quality of agricultural produce at every step of its supply chain is the need of the hour to reduce food wastage. Manual checking of food quality at every step can be inconsistent and time consuming. Automation of food quality detection, ...
An Integrated System for Mobile Image-Based Dietary Assessment
Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as image-based approaches using advanced machine learning techniques coupled ...