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Domonkos Varga

Orcid: 0000-0003-3265-5047

According to our database1, Domonkos Varga authored at least 32 papers between 2008 and 2023.

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Bibliography

2023
An Optimization-Based Family of Predictive, Fusion-Based Models for Full-Reference Image Quality Assessment.
[BibTeX]
[DOI]
Domonkos Varga
J. Imaging, 2023

2022
No-Reference Video Quality Assessment Using the Temporal Statistics of Global and Local Image Features.
[BibTeX]
[DOI]
Domonkos Varga
Sensors, 2022

A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors.
[BibTeX]
[DOI]
Domonkos Varga
Sensors, 2022

No-Reference Video Quality Assessment Using Multi-Pooled, Saliency Weighted Deep Features and Decision Fusion.
[BibTeX]
[DOI]
Domonkos Varga
Sensors, 2022

Full-Reference Image Quality Assessment Based on an Optimal Linear Combination of Quality Measures Selected by Simulated Annealing.
[BibTeX]
[DOI]
Domonkos Varga
J. Imaging, 2022

No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features.
[BibTeX]
[DOI]
Domonkos Varga
J. Imaging, 2022

2021
Editorial Expression of Concern: No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features.
[BibTeX]
[DOI]
Domonkos Varga
Neural Process. Lett., 2021

No-Reference Image Quality Assessment with Multi-Scale Orderless Pooling of Deep Features.
[BibTeX]
[DOI]
Domonkos Varga
J. Imaging, 2021

No-Reference Image Quality Assessment with Global Statistical Features.
[BibTeX]
[DOI]
Domonkos Varga
J. Imaging, 2021

2020
Composition-preserving deep approach to full-reference image quality assessment.
[BibTeX]
[DOI]
Domonkos Varga
Signal Image Video Process., 2020

No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual Features.
[BibTeX]
[DOI]
Domonkos Varga
J. Imaging, 2020

Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions.
[BibTeX]
[DOI]
Domonkos Varga
CoRR, 2020

Multi-pooled Inception features for no-reference image quality assessment.
[BibTeX]
[DOI]
Domonkos Varga
CoRR, 2020

Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database.
[BibTeX]
[DOI]
Domonkos Varga
CoRR, 2020

A Combined Full-Reference Image Quality Assessment Method Based on Convolutional Activation Maps.
[BibTeX]
[DOI]
Domonkos Varga
Algorithms, 2020

Multi-pooled Inception Features for No-reference Video Quality Assessment.
[BibTeX]
[DOI]
Domonkos Varga
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019
No-reference video quality assessment via pretrained CNN and LSTM networks.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
Signal Image Video Process., 2019

No-Reference Video Quality Assessment Based on the Temporal Pooling of Deep Features.
[BibTeX]
[DOI]
Domonkos Varga
Neural Process. Lett., 2019

Empirical evaluation of full-reference image quality metrics on MDID database.
[BibTeX]
[DOI]
Domonkos Varga
CoRR, 2019

A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k.
[BibTeX]
[DOI]
Domonkos Varga
CoRR, 2019

2018
Deeprn: A Content Preserving Deep Architecture for Blind Image Quality Assessment.
[BibTeX]
[DOI]
Domonkos Varga
,
Dietmar Saupe
,
Tamás Szirányi
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017
Robust real-time pedestrian detection in surveillance videos.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
J. Ambient Intell. Humaniz. Comput., 2017

Person re-identification based on deep multi-instance learning.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
Proceedings of the 25th European Signal Processing Conference, 2017

Automatic Cartoon Colorization Based on Convolutional Neural Network.
[BibTeX]
[DOI]
Domonkos Varga
,
Csaba Attila Szabó
,
Tamás Szirányi
Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing, 2017

Twin Deep Convolutional Neural Network for Example-Based Image Colorization.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
Proceedings of the Computer Analysis of Images and Patterns, 2017

2016
Fast content-based image retrieval using convolutional neural network and hash function.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Fully automatic image colorization based on Convolutional Neural Network.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Detecting pedestrians in surveillance videos based on convolutional neural network and motion.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Pedestrian detection in surveillance videos based on CS-LBP feature.
[BibTeX]
[DOI]
Domonkos Varga
,
Laszlo Havasi
,
Tamás Szirányi
Proceedings of the 2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015

A Multi-View Pedestrian Tracking Method in an Uncalibrated Camera Network.
[BibTeX]
[DOI]
Domonkos Varga
,
Tamás Szirányi
,
Attila Kiss
,
László Spórás
,
László Havasi
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2013
Search in WikiImages using mobile phone.
[BibTeX]
[DOI]
Laszlo Havasi
,
Mihaly Szabo
,
Máté Pataki
,
Domonkos Varga
,
Tamás Szirányi
,
László Kovács
Proceedings of the 11th International Workshop on Content-Based Multimedia Indexing, 2013

2008
Ni-MH battery modelling for ambient intelligence applications
[BibTeX]
[DOI]
Domonkos Szente-Varga
,
Gyula Horváth
,
Márta Rencz
CoRR, 2008


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