98 citations · 339 across the 26 of their papers we have counts for
27 papers
Quantifying Hidden Salt for Precision Healthcare: Sodium Assessment via Joint-Factor Retrieval and Chain-of-Thought Inference
Mingyu Huang, Weiqing Min, Yuehui Fang +2
Precision healthcare, particularly for conditions like hypertension and cardiovascular disease, necessitates monitoring of dietary sodium intake. However, tracking this is hindered…
Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
Ying Jin, Weiqing Min, Mingyu Huang +1
A sustainable diet represents a multi-dimensional synergy among four essential pillars: nutrition adequacy, economic affordability, cultural acceptability, and environmental respec…
DishSeg24k: A Large-Scale Benchmark for Food Segmentation with Stochastic Expert Decoding
Yilin Wang, Haochen Shi, Guanyu Chen +4
Food segmentation is essential for applications such as intelligent catering, dietary assessment, and recommendation. However, existing benchmarks fail to capture the complexity of…
From Prediction to Intervention: Personalized Meal-Level Glucose Regulation via an LLM Agent
Mingyu Huang, Weiqing Min, Ying Jin +2
Personalized glucose regulation remains a central yet unresolved challenge in precision nutrition, as postprandial glucose response varies substantially across individuals. Existin…
Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition
Xinda Liu, Qinyu Zhang, Weiqing Min +2
Fine-grained image recognition poses a significant challenge due to the substantial expertise and effort required for manual annotation. Vision-language models (VLMs) like CLIP pro…
RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval
Junsong Wang, Weiqing Min, Guorui Sheng +3
Fine-grained food image retrieval is a key task in computational gastronomy, with applications in food traceability, dietary monitoring, and smart catering systems. Although hashin…
OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion
Dongjian Yu, Weiqing Min, Qian Jiang +3
Accurate estimation of food nutrition plays a vital role in promoting healthy dietary habits and personalized diet management. Most existing food datasets primarily focus on Wester…
FoodSky: A Food-oriented Large Language Model that Passes the Chef and Dietetic Examination
Pengfei Zhou, Weiqing Min, Chaoran Fu +5
Food is foundational to human life, serving not only as a source of nourishment but also as a cornerstone of cultural identity and social interaction. As the complexity of global d…
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection
Pengfei Zhou, Weiqing Min, Jiajun Song +2
Food computing brings various perspectives to computer vision like vision-based food analysis for nutrition and health. As a fundamental task in food computing, food detection need…
From Plate to Production: Artificial Intelligence in Modern Consumer-Driven Food Systems
Weiqing Min, Pengfei Zhou, Leyi Xu +8
Global food systems confront the urgent challenge of supplying sustainable, nutritious diets in the face of escalating demands. The advent of Artificial Intelligence (AI) is bringi…
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection
Pengfei Zhou, Weiqing Min, Yang Zhang +3
Food detection is becoming a fundamental task in food computing that supports various multimedia applications, including food recommendation and dietary monitoring. To deal with re…
A Cross-direction Task Decoupling Network for Small Logo Detection
Hou, Sujuan, Li +10
Logo detection plays an integral role in many applications. However, handling small logos is still difficult since they occupy too few pixels in the image, which burdens the extrac…
Deep Learning for Logo Detection: A Survey
Sujuan Hou, Jiacheng Li, Weiqing Min +4
When logos are increasingly created, logo detection has gradually become a research hotspot across many domains and tasks. Recent advances in this area are dominated by deep learni…
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network
Qiang Hou, Weiqing Min, Jing Wang +3
Food logo detection plays an important role in the multimedia for its wide real-world applications, such as food recommendation of the self-service shop and infringement detection…
Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection
Baisong Zhang, Weiqing Min, Jing Wang +4
Recently, logo detection has received more and more attention for its wide applications in the multimedia field, such as intellectual property protection, product brand management,…
A review on vision-based analysis for automatic dietary assessment
Wei Wang, Weiqing Min, Tianhao Li +3
Background: Maintaining a healthy diet is vital to avoid health-related issues, e.g., undernutrition, obesity and many non-communicable diseases. An indispensable part of the healt…
Applications of knowledge graphs for food science and industry
Weiqing Min, Chunlin Liu, Leyi Xu +1
The deployment of various networks (e.g., Internet of Things [IoT] and mobile networks), databases (e.g., nutrition tables and food compositional databases), and social media (e.g.…
Large Scale Visual Food Recognition
Weiqing Min, Zhiling Wang, Yuxin Liu +5
Food recognition plays an important role in food choice and intake, which is essential to the health and well-being of humans. It is thus of importance to the computer vision commu…
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
Zhuo Li, Weiqing Min, Jiajun Song +5
Optimizing the approximation of Average Precision (AP) has been widely studied for image retrieval. Limited by the definition of AP, such methods consider both negative and positiv…
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Weiqing Min, Linhu Liu, Zhiling Wang +4
Food recognition has received more and more attention in the multimedia community for its various real-world applications, such as diet management and self-service restaurants. A l…
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
Jing Wang, Weiqing Min, Sujuan Hou +3
Logo detection has been gaining considerable attention because of its wide range of applications in the multimedia field, such as copyright infringement detection, brand visibility…
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang, Yaohui Zhu, Chenlong Liu +3
The goal of few-shot image recognition (FSIR) is to identify novel categories with a small number of annotated samples by exploiting transferable knowledge from training data (base…
Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification
Jing Wang, Weiqing Min, Sujuan Hou +4
Logo classification has gained increasing attention for its various applications, such as copyright infringement detection, product recommendation and contextual advertising. Compa…
Food Recommendation: Framework, Existing Solutions and Challenges
Weiqing Min, Shuqiang Jiang, Ramesh Jain
A growing proportion of the global population is becoming overweight or obese, leading to various diseases (e.g., diabetes, ischemic heart disease and even cancer) due to unhealthy…