activity
20192022
most citedSizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce

38 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20221 cited

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…

cs.CV2022

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…

cs.LG202138 cited

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…

cs.CV2021

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…

cs.CV2019

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…