Fashion meets computer vision: A survey

WH Cheng, S Song, CY Chen, SC Hidayati… - ACM Computing Surveys …, 2021 - dl.acm.org
Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …

A review of modern fashion recommender systems

Y Deldjoo, F Nazary, A Ramisa, J Mcauley… - ACM Computing …, 2023 - dl.acm.org
The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …

Temporal relational ranking for stock prediction

F Feng, X He, X Wang, C Luo, Y Liu… - ACM Transactions on …, 2019 - dl.acm.org
Stock prediction aims to predict the future trends of a stock in order to help investors make
good investment decisions. Traditional solutions for stock prediction are based on time …

Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation

X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin… - Proceedings of the 42nd …, 2019 - dl.acm.org
Fashion recommendation has attracted increasing attention from both industry and
academic communities. This paper proposes a novel neural architecture for fashion …

Attentive moment retrieval in videos

M Liu, X Wang, L Nie, X He, B Chen… - The 41st international …, 2018 - dl.acm.org
In the past few years, language-based video retrieval has attracted a lot of attention.
However, as a natural extension, localizing the specific video moments within a video given …

Attentive group recommendation

D Cao, X He, L Miao, Y An, C Yang… - The 41st International ACM …, 2018 - dl.acm.org
Due to the prevalence of group activities in people's daily life, recommending content to a
group of users becomes an important task in many information systems. A fundamental …

Mutual-enhanced incongruity learning network for multi-modal sarcasm detection

Y Qiao, L **g, X Song, X Chen, L Zhu… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Sarcasm is a sophisticated linguistic phenomenon that is prevalent on today's social media
platforms. Multi-modal sarcasm detection aims to identify whether a given sample with multi …

POG: personalized outfit generation for fashion recommendation at Alibaba iFashion

W Chen, P Huang, J Xu, X Guo, C Guo, F Sun… - Proceedings of the 25th …, 2019 - dl.acm.org
Increasing demand for fashion recommendation raises a lot of challenges for online
shop** platforms and fashion communities. In particular, there exist two requirements for …

Personalized fashion compatibility modeling via metapath-guided heterogeneous graph learning

W Guan, F Jiao, X Song, H Wen, CH Yeh… - Proceedings of the 45th …, 2022 - dl.acm.org
Fashion Compatibility Modeling (FCM) is a new yet challenging task, which aims to
automatically access the matching degree among a set of complementary items. Most of …