The main difficulty of person re-identification (ReID) lies in collecting annotated data and
transferring the model across different domains. This paper presents UnrealPerson, a novel …

Abstract Machine learning models are usually evaluated according to the average case
performance on the test set. However, this is not always ideal, because in some sensitive …

A personal food model (PFM) is essential for high-quality food recommendation systems to
enhance health and enjoyment. We can build such models using food logging platforms that …

Personalized Food Recommendation Systems (Food-RecSys) are recognized for their
potential to enhance dietary practices and address pressing health issues. Despite their …

Population-based models are prevalent in different aspects of our lives. Decision-making in
clinical health relies heavily upon the insights generated from population-based models …

Computer vision is difficult, partly because the desired mathematical function connecting
input and output data is often complex, fuzzy and thus hard to learn. Coarse-to-fine (C2F) …

Artificial neural networks that simulate human achieves great successes. From the
perspective of simulating human memory method, we propose a stepped sampler based on …

Computer vision researchers spent a lot of time creating large datasets, yet there is still
much information that is difficult to label. Detailed annotations like part segmentation and …

One of the ultimate goals of computer vision is to equip machines with visual intelligence:
the ability to understand a scene at the level that is indistinguishable from human's. This not …