activity
20172021
most citedWhat Looks Good with my Sofa: Multimodal Search Engine for Interior Design

13 citations · 13 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2021

I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion

Ivona Tautkute, Tomasz Trzcinski

This paper addresses the problem of media retrieval using a multimodal query (a query which combines visual input with additional semantic information in natural language feedback)…

cs.LG2020

Reducing catastrophic forgetting with learning on synthetic data

Wojciech Masarczyk, Ivona Tautkute

Catastrophic forgetting is a problem caused by neural networks' inability to learn data in sequence. After learning two tasks in sequence, performance on the first one drops signif…

cs.CV2018

Classifying and Visualizing Emotions with Emotional DAN

Ivona Tautkute, Tomasz Trzcinski

Classification of human emotions remains an important and challenging task for many computer vision algorithms, especially in the era of humanoid robots which coexist with humans i…

cs.CV2018

I Know How You Feel: Emotion Recognition with Facial Landmarks

Ivona Tautkute, Tomasz Trzcinski, Adam Bielski

Classification of human emotions remains an important and challenging task for many computer vision algorithms, especially in the era of humanoid robots which coexist with humans i…

cs.CV201713 cited

What Looks Good with my Sofa: Multimodal Search Engine for Interior Design

Ivona Tautkute, Aleksandra Możejko, Wojciech Stokowiec +3

In this paper, we propose a multi-modal search engine for interior design that combines visual and textual queries. The goal of our engine is to retrieve interior objects, e.g. fur…