When Deep Learning Meets Food Data

Journal

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• Large Scale Visual Food Recognition (TPAMI 2023) [paper]

IEEE Transactions on Image Processing (TIP)

• Convolution-Enhanced Bi-Branch Adaptive Transformer with Cross-Task Interaction for Food Category and Ingredient Recognition (TIP 2024) [paper]
• Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection (TIP 2024) [paper]
• Ingredient-Guided Region Discovery and Relationship Modeling for Food Category-Ingredient Prediction (TIP 2022) [paper]
• A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition (TIP 2021) [paper]
• Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition (TIP 2020) [paper]

IEEE Transactions on Multimedia (TMM)

• From Canteen Food to Daily Meals: Generalizing Food Recognition to More Practical Scenarios (TMM 2024) [paper]
• Coarse-to-Fine Nutrition Prediction (TMM 2024) [paper]
• Dynamic Mixup for Multi-Label Long-Tailed Food Ingredient Recognition (TMM 2023) [paper]
• An Intelligent Vision-Based Nutritional Assessment Method for Handheld Food Items (TMM 2023) [paper]
• Reinforcement Learning for Logic Recipe Generation: Bridging Gaps From Images to Plans (TMM 2022) [paper]
• Learning From Web Recipe-Image Pairs for Food Recognition: Problem, Baselines and Performance (TMM 2022) [paper]
• Mixed Dish Recognition With Contextual Relation and Domain Alignment (TMM 2022) [paper]
• Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism (TMM 2022) [paper]
• An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients (TMM 2021) [paper]
• MVANet: Multi-Task Guided Multi-View Attention Network for Chinese Food Recognition (TMM 2021) [paper]
• Domain Adaptation for Food Intake Classification With Teacher/Student Learning (TMM 2021) [paper]
• A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes (TMM 2021) [paper]
• Food Recommendation: Framework, Existing Solutions, and Challenges (TMM 2020) [paper]
• Hierarchical Attention Network for Visually-Aware Food Recommendation (TMM 2020) [paper]

Conference

2024

• OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation (CVPR 2024) [paper]
• FIRE: Food Image to REcipe Generation (WACV 2024) [paper]
• Online Class-Incremental Learning for Real-World Food Image Classification (WACV 2024) [paper]

2023

• Food-500 Cap: A Fine-Grained Food Caption Benchmark for Evaluating Vision-Language Models (ACMMM 2023) [paper]
• SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection (ACMMM 2023) [paper]
• Feature-Suppressed Contrast for Self-Supervised Food Pre-training (ACMMM 2023) [paper]
• Improving Cross-Modal Recipe Retrieval with Component-Aware Prompted CLIP Embedding (ACMMM 2023) [paper]
• Single-Stage Heavy-Tailed Food Classification (ICIP 2023) [paper]
• Semantic-Embedded Knowledge Acquisition and Reasoning for Image Segmentation (ICIP 2023) [paper]
• An End-to-End Food Portion Estimation Framework Based on Shape Reconstruction from Monocular Image (ICME 2023) [paper]

2022

• Learning Program Representations for Food Images and Cooking Recipes (CVPR 2022) [paper]
• Recipe-oriented Food Logging for Nutritional Management (ACMMM 2022) [paper]
• Image Segmentation and Recognition for Multi-Class Chinese Food (ICIP 2022) [paper]

2021

• Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food (CVPR 2021) [paper]
• Fusion Learning Using Semantics and Graph Convolutional Network for Visual Food Recognition (WACV 2021) [paper]
• A Large-Scale Benchmark for Food Image Segmentation (ACMMM 2021) [paper]
• FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network (ACMMM 2021) [paper]
• RecipeLog: Recipe Authoring App for Accurate Food Recording (ACMMM 2021) [paper]

2020

• Personal Food Model (ACMMM 2020) [paper]
• ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network (ACMMM 2020) [paper]
• Cross-domain Cross-modal Food Transfer (ACMMM 2020) [paper]
• Multi-modal Cooking Workflow Construction for Food Recipes (ACMMM 2020) [paper]
• Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation (ACMMM 2020) [paper]
• ChefGAN: Food Image Generation from Recipes (ACMMM 2020) [paper]
• A Cross-Modal Variational Framework For Food Image Analysis (ICIP 2020) [paper]
• Weakly-Supervised Plate And Food Region Segmentation (ICME 2020) [paper]

Workshops

Large-Scale Fine-Grained Food Analysis at ICCV 2021

MetaFood Workshop at CVPR 2024

Please feel free to contact me if you find any interesting paper that is missing here.