The first vision for vitals (v4v) challenge for non-contact video-based physiological estimation

A Revanur, Z Li, UA Ciftci, L Yin… - Proceedings of the …, 2021 - openaccess.thecvf.com
Telehealth has the potential to offset the high demand for help during public health
emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG)-the …

Fashion intelligence in the Metaverse: promise and future prospects

X Mu, H Zhang, J Shi, J Hou, J Ma, Y Yang - Artificial Intelligence Review, 2024 - Springer
With the development of artificial intelligence (AI) and the constraints on offline activities
imposed due to the sudden outbreak of the COVID epidemic, the Metaverse has recently …

Partially supervised compatibility modeling

W Guan, H Wen, X Song, C Wang… - … on Image Processing, 2022 - ieeexplore.ieee.org
Fashion Compatibility Modeling (FCM), which aims to automatically evaluate whether a
given set of fashion items makes a compatible outfit, has attracted increasing research …

Learning attribute and class-specific representation duet for fine-grained fashion analysis

Y Jiao, Y Gao, J Meng, J Shang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Fashion representation learning involves the analysis and understanding of various visual
elements at different granularities and the interactions among them. Existing works often …

AI in fashion: a literature review

E Kouslis, E Papachristou, TG Stavropoulos… - Electronic Commerce …, 2024 - Springer
Artificial Intelligence (AI) has a growing influence in the fashion industry. In this review study,
the focal points of research in AI in the context of fashion are showcased. This is achieved by …

Multi-modal extreme classification

A Mittal, K Dahiya, S Malani… - Proceedings of the …, 2022 - openaccess.thecvf.com
This paper develops the MUFIN technique for extreme classification (XC) tasks with millions
of labels where datapoints and labels are endowed with visual and textual descriptors …

Fine-grained fashion representation learning by online deep clustering

Y Jiao, N **e, Y Gao, CC Wang, Y Sun - European conference on …, 2022 - Springer
Fashion designs are rich in visual details associated with various visual attributes at both
global and local levels. As a result, effective modeling and analyzing fashion requires fine …

Transformer-based graph neural networks for outfit generation

F Becattini, FM Teotini… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Suggesting complementary clothing items to compose an outfit is a process of emerging
interest, yet it involves a fine understanding of fashion trends and visual aesthetics. Previous …

Recommendation of mix-and-match clothing by modeling indirect personal compatibility

S Liao, Y Ding, PY Mok - Proceedings of the 2023 ACM International …, 2023 - dl.acm.org
Fashion recommendation considers both product similarity and compatibility, and has drawn
increasing research interest. It is a challenging task because it often needs to use …

Semi-supervised rotation-invariant representation learning for wafer map pattern analysis

H Kang, S Kang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Recently, data-driven approaches have been widely employed to analyze the defect
patterns in wafer maps, which are crucial for identifying the root causes of failures in the …