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Learning Low-Level Causal Relations Using a Simulated Robotic Arm
Causal learning allows humans to predict the effect of their actions on the known environment and use this knowledge to plan the …
Miroslav Cibula
,
Matthias Kerzel
,
Igor Farkaš
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DOI
Robust Self-Calibration of Focal Lengths from the Fundamental Matrix
The problem of self-calibration of two cameras from a given fundamental matrix is one of the basic problems in geometric computer …
Viktor Kocur
,
Daniel Kyselica
,
Zuzana Kukelova
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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
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
To Whom are You Talking? A Deep Learning Model to Endow Social Robots with Addressee Estimation Skills
Communicating shapes our social word. For a robot to be considered social and being consequently integrated in our social environment …
Carlo Mazzola
,
Marta Romeo
,
Francesco Rea
,
Alessandra Sciutti
,
Angelo Cangelosi
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DOI
ICJNN 2023
Clarifying the Half Full or Half Empty Question: Multimodal Container Classification
Multimodal integration is a key component of allowing robots to perceive the world. Multimodality comes with multiple challenges that …
Josua Spisak
,
Matthias Kerzel
,
Stefan Wermter
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DOI
ICANN 2023
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