Search Results for author: Nour Karessli

Found 8 papers, 0 papers with code

Gaze Embeddings for Zero-Shot Image Classification

no code implementations CVPR 2017 Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling

Zero-shot image classification using auxiliary information, such as attributes describing discriminative object properties, requires time-consuming annotation by domain experts.

Classification Fine-Grained Image Classification +2

WiCV 2020: The Seventh Women In Computer Vision Workshop

no code implementations11 Jan 2021 Hazel Doughty, Nour Karessli, Kathryn Leonard, Boyi Li, Carianne Martinez, Azadeh Mobasher, Arsha Nagrani, Srishti Yadav

It provides a voice to a minority (female) group in computer vision community and focuses on increasingly the visibility of these researchers, both in academia and industry.

SizeFlags: Reducing Size and Fit Related Returns in Fashion E-Commerce

no code implementations7 Jun 2021 Andrea Nestler, Nour Karessli, Karl Hajjar, Rodrigo Weffer, Reza Shirvany

Size and fit related returns severely impact 1. the customers experience and their dissatisfaction with online shopping, 2. the environment through an increased carbon footprint, and 3. the profitability of online fashion platforms.

WiCV 2021: The Eighth Women In Computer Vision Workshop

no code implementations11 Mar 2022 Arushi Goel, Niveditha Kalavakonda, Nour Karessli, Tejaswi Kasarla, Kathryn Leonard, Boyi Li, Nermin Samet and, Ghada Zamzmi

In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2021, organized alongside the virtual CVPR 2021.

FitGAN: Fit- and Shape-Realistic Generative Adversarial Networks for Fashion

no code implementations23 Jun 2022 Sonia Pecenakova, Nour Karessli, Reza Shirvany

Through experiments on real world data at scale, we demonstrate how our approach is capable of synthesizing visually realistic and diverse fits of fashion items and explore its ability to control fit and shape of images for thousands of online garments.

Virtual Try-on

Reusable Self-Attention-based Recommender System for Fashion

no code implementations29 Nov 2022 Marjan Celikik, Jacek Wasilewski, Sahar Mbarek, Pablo Celayes, Pierre Gagliardi, Duy Pham, Nour Karessli, Ana Peleteiro Ramallo

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 datasets, without insights on how these models perform in real life scenarios.

Recommendation Systems

UNICON: A unified framework for behavior-based consumer segmentation in e-commerce

no code implementations18 Sep 2023 Manuel Dibak, Vladimir Vlasov, Nour Karessli, Darya Dedik, Egor Malykh, Jacek Wasilewski, Ton Torres, Ana Peleteiro Ramallo

Data-driven personalization is a key practice in fashion e-commerce, improving the way businesses serve their consumers needs with more relevant content.

Recommendation Systems

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