Scope

The main scope of MADiMa2024 is to bring together researchers from the diverse fields of engineering, computer science and nutrition who investigate the use of information and communication technologies for better monitoring, assessment, and management of food intake. The combined use of multimedia, machine learning algorithms, ubiquitous computing and mobile technologies permits the development of applications and systems able to monitor the dietary behavior, analyze food intake, identify eating patterns, and provide feedback to the user towards healthier nutrition. The researchers will present and demonstrate their latest progress and discuss novel ideas in the field. Besides the technologies used, emphasis will be given to the precise problem definition, the available nutritional databases, the need for benchmarking multimedia databases of packed and unpacked food and the evaluation protocols.

List of Topics

Topics of interest include (but are not limited to) the following:

• Supervised food recognition (Fine-grained/Transfer/Noisy-label Learning)
• Unsupervised food recognition (Self-supervised/Multi-modal Learning)
• Out-of-distribution food detection (Anomaly Detection, Open-Set Learning)
• Food image synthesis with generative models (GANs, Diffusion Models, etc.)
• Food detection and segmentation (vision foundation models, SAM, etc.)
• LLMs/LVMs to automatize food composition analysis (recipe comprehension, database reading, nutritional content estimation, etc.)
• Monocular/Binocular depth estimation from mobile/static sensors
• 3D point cloud processing and analysis for food volume estimation
• Augmented/Virtual reality for food analysis and portion estimation
• Benchmarks, evaluation protocols, and metrics for the above topics

Committees

Organizers

• Stavroula Mougiakakou, University of Bern, Switzerland
• Keiji Yanai, The University of Electro-Communications, Tokyo, Japan
• Dario Allegra, University of Catania, Italy
• Yoko Yamakata, The University of Tokyo, Japan
• Lorenzo Brigato, University of Bern, Switzerland

Program committee

• Lorenzo Catania, University of Catania, Italy
• Jingjing Chen, Fudan University, China
• Christos Diou, Harokopio University of Athens, Greece
• Ichiro Ide, Nagoya University, Japan
• Ioannis Papathanail, University of Bern, Switzerland
• Raimondo Schettini, University of Milano-Bicocca, Italy

Venue

The workshop will be hosted at the 27^th International Conference on Pattern Recognition.

Contact

You can reach the workshop chairs though:  info@madima.org