13 citations · 13 across the 1 of their papers we have counts for
6 papers
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)…
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…
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…
Extracting textual overlays from social media videos using neural networks
Adam Słucki, Tomasz Trzcinski, Adam Bielski +1
Textual overlays are often used in social media videos as people who watch them without the sound would otherwise miss essential information conveyed in the audio stream. This is w…
Pay Attention to Virality: understanding popularity of social media videos with the attention mechanism
Adam Bielski, Tomasz Trzcinski
Predicting popularity of social media videos before they are published is a challenging task, mainly due to the complexity of content distribution network as well as the number of…
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…