A survey on food computing

W Min, S Jiang, L Liu, Y Rui, R Jain - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
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 …

Machine knowledge: Creation and curation of comprehensive knowledge bases

G Weikum, XL Dong, S Razniewski… - … and Trends® in …, 2021 - nowpublishers.com
Equipping 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 …

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

A Srivastava, A Rastogi, A Rao, AAM Shoeb… - arXiv preprint arXiv …, 2022 - arxiv.org
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …

Through-wall human pose estimation using radio signals

M Zhao, T Li, M Abu Alsheikh, Y Tian… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …

Milvus: A purpose-built vector data management system

J Wang, X Yi, R Guo, H Jin, P Xu, S Li, X Wang… - Proceedings of the …, 2021 - dl.acm.org
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 …

Cleannet: Transfer learning for scalable image classifier training with label noise

KH Lee, X He, L Zhang, L Yang - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
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 …

Large scale visual food recognition

W Min, Z Wang, Y Liu, M Luo, L Kang… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
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 …

Survey on deep multi-modal data analytics: Collaboration, rivalry, and fusion

Y Wang - ACM Transactions on Multimedia Computing …, 2021 - dl.acm.org
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 …

Learning type-aware embeddings for fashion compatibility

MI Vasileva, BA Plummer, K Dusad… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …

AI and robotics in the European restaurant sector: Assessing potentials for process innovation in a high-contact service industry

K Blöcher, R Alt - Electronic Markets, 2021 - Springer
The restaurant technology market is rapidly evolving and is transforming the restaurant
business as a significant sector of tourism and hospitality. Enabled by artificial intelligence …