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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
CycleIK: Neuro-inspired Inverse Kinematics
The paper introduces CycleIK, a neuro-robotic approach that wraps two novel neuro-inspired methods for the inverse kinematics (IK) …
Jan-Gerrit Habekost
,
Erik Strahl
,
Philipp Allgeuer
,
Matthias Kerzel
,
Stefan Wermter
PDF
DOI
ICANN 2023
Neural Field Conditioning Strategies for 2D Semantic Segmentation
Neural fields are neural networks which map coordinates to a desired signal. When a neural field should jointly model multiple signals, …
Martin Gromniak
,
Sven Magg
,
Stefan Wermter
PDF
DOI
ICANN 2023
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
QuasiNet: a Neural Network with Trainable Product Layers
Classical neural networks achieve only limited convergence in hard problems such as XOR or parity when the number of hidden neurons is …
Kristína Malinovská
,
Slavomír Holenda
,
Ľudovít Malinovský
DOI
ICANN 2023
Replay to Remember: Continual Layer-Specific Fine-tuning for German Speech Recognition
While Automatic Speech Recognition (ASR) models have shown significant advances with the introduction of unsupervised or …
Theresa Pekarek Rosin
,
Stefan Wermter
PDF
DOI
ICANN 2023
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