Search Results for author: Reza Shirvany

Found 6 papers, 1 papers with code

ALiSNet: Accurate and Lightweight Human Segmentation Network for Fashion E-Commerce

no code implementations15 Apr 2023 Amrollah Seifoddini, Koen Vernooij, Timon Künzle, Alessandro Canopoli, Malte Alf, Anna Volokitin, Reza Shirvany

We obtain our final model, ALiSNet, with a size of 4MB and 97. 6$\pm$1. 0$\%$ mIoU, compared to Apple Person Segmentation, which has an accuracy of 94. 4$\pm$5. 7$\%$ mIoU on our dataset.

Segmentation Virtual Try-on

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

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.

A Hierarchical Bayesian Model for Size Recommendation in Fashion

no code implementations2 Aug 2019 Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany

We introduce a hierarchical Bayesian approach to tackle the challenging problem of size recommendation in e-commerce fashion.

A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce

3 code implementations23 Jul 2019 Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann

To alleviate this problem, we propose a deep learning based content-collaborative methodology for personalized size and fit recommendation.

Collaborative Filtering Entity Embeddings

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