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Comenius University Bratislava
Executable Multi-Layered Software Models
This paper introduces a novel software visualisation and animation method, manifested in a prototype software tool - AnimArch. The …
Lukáš Radoský
,
Ivan Polášek
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DOI
Sketch it for the Robot! How Child-Like Robots' Joint Attention Affects Humans' Drawing Strategies
The work proposes investigating drawing activities in interactive contexts to shed light on the links between socio-cognitive and …
Carlo Mazzola
,
Lorenzo Morocutti
,
Hillary Pedrizzi
,
Xenia Daniela Poslon
,
Andrej Lúčny
,
Sarah Marie Wingert
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DOI
RecViT: Enhancing Vision Transformer with Top-Down Information Flow
We propose and analyse a novel neural network architecture — recurrent vision transformer (RecViT). Building upon the popular vision …
Štefan Pócoš
,
Iveta Bečková
,
Igor Farkaš
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DOI
Enhancement of 3D Camera Synthetic Training Data with Noise Models
The goal of this paper is to assess the impact of noise in 3D camera-captured data by modeling the noise of the imaging process and …
Katarína Osvaldová
,
Lukáš Gajdošech
,
Viktor Kocur
,
Martin Madaras
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DOI
Appearance-Based Gaze Estimation Enhanced with Synthetic Images Using Deep Neural Networks
Human eye gaze estimation is an important cognitive ingredient for successful human-robot interaction, enabling the robot to read and …
Dmytro Herashchenko
,
Igor Farkaš
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DOI
Evaluating the Significance of Outdoor Advertising from Driver’s Perspective Using Computer Vision
Outdoor advertising, such as roadside billboards, plays a significant role in marketing campaigns but can also be a distraction for …
Zuzana Černeková
,
Zuzana Berger Haladová
,
Ján Špirka
,
Viktor Kocur
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DOI
Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning
Teeth segmentation is an essential task in dental image analysis for accurate diagnosis and treatment planning. While supervised deep …
Tomáš Kunzo
,
Viktor Kocur
,
Lukáš Gajdošech
,
Martin Madaras
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DOI
Supersampling of Data from Structured-light Scanner with Deep Learning
This paper focuses on increasing the resolution of depth maps obtained from 3D cameras using structured light technology. Two deep …
Marek Melicherčík
,
Lukáš Gajdošech
,
Viktor Kocur
,
Martin Madaras
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DOI
Tuning-less Object Naming with a Foundation Model
We implement a real-time object naming system that enables learning a set of named entities never seen. Our approach employs an …
Andrej Lúčny
,
Pavel Petrovič
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DOI
arXiv
Novel Synthetic Data Tool for Data-Driven Cardboard Box Localization
Application of neural networks in industrial settings, such as automated factories with bin-picking solutions requires costly …
Peter Kravár
,
Lukáš Gajdošech
,
Martin Madaras
DOI
ICANN 2023
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