MTF24
* *MetaFood Workshop
* Automatic Recognition of Food Ingestion Environment from the AIM-2 Wearable Sensor
* Food Portion Estimation via 3D Object Scaling
* Generative Exploration of Cuisine Transfer, A
* How Much You Ate? Food Portion Estimation on Spoons
* Learning to Classify New Foods Incrementally Via Compressed Exemplars
* LOFI: LOng-tailed FIne-Grained Network for Food Recognition
* MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images
* Segment Anything in Food Images
* Shape-Preserving Generation of Food Images for Automatic Dietary Assessment
10 for MTF24
MTF25
* Agro-Net: a Convolution-Attention Fusion Based Hyperspectral Model for Agro-Food Quality Assessment
* Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition
* Decomposing Food Images for Better Nutrition Analysis: a Nutritionist-Inspired Two-Step Multimodal Llm Approach
* Extra-Lightweight AI-Based Privacy Preserving Framework for Egocentric Wearable Cameras
* Food Degradation Analysis Using Multimodal Fuzzy Clustering
* FoodVideoQA: A Novel Baseline Framework for Dietary Monitoring
* Privacy Preserving Ordinal-Meta Learning with VLMs for Fine-Grained Fruit Quality Prediction
* SAMJAM: Zero-Shot Video Scene Graph Generation for Egocentric Kitchen Videos
* Stochastic-Based Patch Filtering for Few-Shot Learning
* Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification
* VolTex: Food Volume Estimation Using Text-Guided Segmentation and Neural Surface Reconstruction
11 for MTF25