38 citations · 47 across the 8 of their papers we have counts for
8 papers
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce
Manuel Dibak, Vladimir Vlasov, Nour Karessli +5
Data-driven personalization is a key practice in fashion e-commerce, improving the way businesses serve their consumers needs with more relevant content. While hyper-personalizatio…
Reusable Self-Attention-based Recommender System for Fashion
Marjan Celikik, Jacek Wasilewski, Sahar Mbarek +5
A large number of empirical studies on applying self-attention models in the domain of recommender systems are based on offline evaluation and metrics computed on standardized data…
FitGAN: Fit- and Shape-Realistic Generative Adversarial Networks for Fashion
Sonia Pecenakova, Nour Karessli, Reza Shirvany
Amidst the rapid growth of fashion e-commerce, remote fitting of fashion articles remains a complex and challenging problem and a main driver of customers' frustration. Despite the…
WiCV 2021: The Eighth Women In Computer Vision Workshop
Arushi Goel, Niveditha Kalavakonda, Nour Karessli +5
In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2021, organized alongside the virtual CVPR 2021. It provides a voice to a minority (female) group…
SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce
Andrea Nestler, Nour Karessli, Karl Hajjar +2
E-commerce is growing at an unprecedented rate and the fashion industry has recently witnessed a noticeable shift in customers' order behaviour towards stronger online shopping. Ho…
WiCV 2020: The Seventh Women In Computer Vision Workshop
Hazel Doughty, Nour Karessli, Kathryn Leonard +5
In this paper we present the details of Women in Computer Vision Workshop - WiCV 2020, organized in alongside virtual CVPR 2020. This event aims at encouraging the women researcher…
SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images
Nour Karessli, Romain Guigourès, Reza Shirvany
Finding clothes that fit is a hot topic in the e-commerce fashion industry. Most approaches addressing this problem are based on statistical methods relying on historical data of a…
Gaze Embeddings for Zero-Shot Image Classification
Nour Karessli, Zeynep Akata, Bernt Schiele +1
Zero-shot image classification using auxiliary information, such as attributes describing discriminative object properties, requires time-consuming annotation by domain experts. We…