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Mylène C. Q. Farias

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Sana Alamgeer

> Home > Persons > Mylène C. Q. Farias

Publications

2023
[j38]
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Sana Alamgeer, Mylène C. Q. Farias:
A two-stream cnn based visual quality assessment method for light field images. Multim. Tools Appl. 82(4): 5743-5762 (2023)
[j37]
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Sana Alamgeer, Mylène C. Q. Farias:
A survey on visual quality assessment methods for light fields. Signal Process. Image Commun. 110: 116873 (2023)
[c86]
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  - conf/mmsp/AlamgeerCF23
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Sana Alamgeer, André H. M. Costa, Mylène C. Q. Farias:
Using a Diverse Neural Network to Predict the Quality of Light Field Images. MMSP 2023: 1-6
2022
[c83]
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  - conf/icip/AlamgeerF22
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Sana Alamgeer, Mylène C. Q. Farias:
Light Field Image Quality Assessment with Dense Atrous Convolutions. ICIP 2022: 2441-2445
[c82]
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Sana Alamgeer, Mylène C. Q. Farias:
No-Reference Light Field Image Quality Assessment Method Based on a Long-Short Term Memory Neural Network. ICME Workshops 2022: 1-6
[c80]
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  - conf/iqsp/AlthoffGMAPA0CF22
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Lucas S. Althoff, Henrique Domingues Garcia, Dario D. R. Morais, Sana Alamgeer, Myllena Prado, Gabriel De Castro Araújo, Ravi Prakash, Marcelo M. Carvalho, Mylène C. Q. Farias:
Designing an user-centric framework for perceptually-efficient streaming of 360° edited videos. IQSP 2022: 1-7
[c76]
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  - conf/mmsys/AlamgeerIF22
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Sana Alamgeer, Muhammad Irshad, Mylène C. Q. Farias:
Light field image quality assessment method based on deep graph convolutional neural network: research proposal. MMSys 2022: 357-361
[c75]
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  - conf/qomex/AlamgeerF22
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Sana Alamgeer, Mylène C. Q. Farias:
Deep Learning-Based Light Field Image Quality Assessment Using Frequency Domain Inputs. QoMEX 2022: 1-6
[c70]
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  - conf/webmedia/AlthoffPASPCF22
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Lucas S. Althoff, Myllena Prado, Sana Alamgeer, Alessandro Rodrigues e Silva, Ravi Prakash, Marcelo M. Carvalho, Mylène C. Q. Farias:
360RAT: A Tool for Annotating Regions of Interest in 360-degree Videos. WebMedia 2022: 272-280
2021
[j33]
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  - journals/jei/AlamgeerIF21
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Sana Alamgeer, Muhammad Irshad, Mylène C. Q. Farias:
CNN-based no-reference video quality assessment method using a spatiotemporal saliency patch selection procedure. J. Electronic Imaging 30(6) (2021)
[c66]
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  - conf/iqsp/IrshadSALF21
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Muhammad Irshad, Camilo Sánchez-Ferreira, Sana Alamgeer, Carlos H. Llanos, Mylène C. Q. Farias:
No-reference Image Quality Assessment of Underwater Images Using Multi-Scale Salient Local Binary Patterns. IQSP 2021
2020
[c60]
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  - conf/iqsp/IrshadSAF20
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Muhammad Irshad, Alessandro Rodrigues e Silva, Sana Alamgeer, Mylène C. Q. Farias:
Perceptual Quality Assessment of Enhanced Images Using a Crowd-Sourcing Framework. IQSP 2020
2018
[c42]
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  - conf/mmsys/FreitasAAF18
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Pedro Garcia Freitas, Sana Alamgeer, Welington Y. L. Akamine, Mylène C. Q. Farias:
Blind image quality assessment based on multiscale salient local binary patterns. MMSys 2018: 52-63

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