activity
20202022
most citedMulti-modal Embedding Fusion-based Recommender

10 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2022★ 6 cited

Identifying Substitute and Complementary Products for Assortment Optimization with Cleora Embeddings

Sergiy Tkachuk, Anna Wróblewska, Jacek Dąbrowski +1

Recent years brought an increasing interest in the application of machine learning algorithms in e-commerce, omnichannel marketing, and the sales industry. It is not only to the al…

stat.ML2021

T-EMDE: Sketching-based global similarity for cross-modal retrieval

Barbara Rychalska, Mikolaj Wieczorek, Jacek Dabrowski

The key challenge in cross-modal retrieval is to find similarities between objects represented with different modalities, such as image and text. However, each modality embeddings…

cs.CV2021★ 3 cited

On the Unreasonable Effectiveness of Centroids in Image Retrieval

Mikolaj Wieczorek, Barbara Rychalska, Jacek Dabrowski

Image retrieval task consists of finding similar images to a query image from a set of gallery (database) images. Such systems are used in various applications e.g. person re-ident…

cs.IR2020★ 10 cited

Multi-modal Embedding Fusion-based Recommender

Anna Wroblewska, Jacek Dabrowski, Michal Pastuszak +5

Recommendation systems have lately been popularized globally, with primary use cases in online interaction systems, with significant focus on e-commerce platforms. We have develope…

cs.CV2020★ 2 cited

A Strong Baseline for Fashion Retrieval with Person Re-Identification Models

Mikolaj Wieczorek, Andrzej Michalowski, Anna Wroblewska +1

Fashion retrieval is the challenging task of finding an exact match for fashion items contained within an image. Difficulties arise from the fine-grained nature of clothing items,…