CFP_9th International Workshop on Multimedia Assisted Dietary Management (MADiMa), Kolkata, India, 1st-5th December 2024
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to Machine Learning News
We are excited to announce the 9th International Workshop on Multimedia Assisted Dietary Management (MADiMa2024) held in conjunction with the 27th International Conference on Pattern Recognition (ICPR2024).
The workshop will take place between December 1st-December 5th, 2024, in Kolkata, India. Kolkata, also known as the ‘City of Joy’, is considered as the cultural capital of India and a historically significant city in the region of Bengal. In the following, you can find the 1st call for papers. Check out our website for more details.
We are truly looking forward to your participation.
=================================================== Call For Papers (apologies for multiple copies) ===================================================
The 9th International Workshop on Multimedia Assisted Dietary Management (MADiMa2024) is organized in conjunction with the 27th International Conference on Pattern Recognition (ICPR2024).
Website: Link Place: Kolkata, India Date: December 1st-December 5th, 2024 Submission Deadline: 30th August 2024
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.
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
IMPORTANT DATES ================ - Paper submission deadline: August 30th, 2024 - Notification of acceptance: September 20th, 2024 - Camera ready deadline: September 26th, 2024
WORKSHOP CHAIRS ================= - 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
The workshop chairs,
Stavroula Mougiakakou Keiji Yanai Dario Allegra Yoko Yamakata Lorenzo Brigato