Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …

Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Recently, there has been a pressing need to manage high-dimensional vector data in data
science and AI applications. This trend is fueled by the proliferation of unstructured data and …

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 community …

This paper demonstrates accurate human pose estimation through walls and occlusions. We
leverage the fact that wireless signals in the WiFi frequencies traverse walls and reflect off …

In this paper, we study the problem of learning image classification models with label noise.
Existing approaches depending on human supervision are generally not scalable as …

With the development of web technology, multi-modal or multi-view data has surged as a
major stream for big data, where each modal/view encodes individual property of data …

Outfits in online fashion data are composed of items of many different types (eg top, bottom,
shoes) that share some stylistic relationship with one another. A representation for building …

Background Nutritional management for patients with diabetes in China is a significant
challenge due to the low supply of registered clinical dietitians. To address this, an artificial …