The first vision for vitals (v4v) challenge for non-contact video-based physiological estimation
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 …
emergencies, such as the COVID-19 pandemic. Remote Photoplethysmography (rPPG)-the …
Fashion intelligence in the Metaverse: promise and future prospects
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 …
imposed due to the sudden outbreak of the COVID epidemic, the Metaverse has recently …
Partially supervised compatibility modeling
Fashion Compatibility Modeling (FCM), which aims to automatically evaluate whether a
given set of fashion items makes a compatible outfit, has attracted increasing research …
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
Fashion representation learning involves the analysis and understanding of various visual
elements at different granularities and the interactions among them. Existing works often …
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 …
the focal points of research in AI in the context of fashion are showcased. This is achieved by …
Multi-modal extreme classification
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 …
of labels where datapoints and labels are endowed with visual and textual descriptors …
Fine-grained fashion representation learning by online deep clustering
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 …
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 …
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
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 …
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
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 …
patterns in wafer maps, which are crucial for identifying the root causes of failures in the …