Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Christian Galea"'
Autor:
Christian Galea
Publikováno v:
IEEE Access, Vol 10, Pp 71030-71034 (2022)
Guo et al. proposed a method for automated face-sketch recognition in their paper “Domain Alignment Embedding Network for Sketch Face Recognition”, where it is deemed to be superior to several other methods published in literature. However, the e
Externí odkaz:
https://doaj.org/article/61e4010b23e94b3e8afe3a973657f5c0
Autor:
Matthew Aquilina, Keith George Ciantar, Christian Galea, Kenneth P. Camilleri, Reuben A. Farrugia, John Abela
Publikováno v:
Sensors, Vol 23, Iss 1, p 419 (2022)
To date, the best-performing blind super-resolution (SR) techniques follow one of two paradigms: (A) train standard SR networks on synthetic low-resolution–high-resolution (LR–HR) pairs or (B) predict the degradations of an LR image and then use
Externí odkaz:
https://doaj.org/article/4130e87a94be4b18b3e4a19dfa9ec5d3
Autor:
Reuben Farrugia, Keith George Ciantar, John Abela, Christian Galea, Kenneth Camilleri, Matthew Aquilina
Publikováno v:
Sensors; Volume 23; Issue 1; Pages: 419
To date, the best-performing blind super-resolution (SR) techniques follow one of two paradigms: (A) train standard SR networks on synthetic low-resolution–high-resolution (LR–HR) pairs or (B) predict the degradations of an LR image and then use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::945930416a3701b0e02092737edc6a83
http://arxiv.org/abs/2211.05018
http://arxiv.org/abs/2211.05018
Convolutional Neural Networks (CNNs) have achieved impressive results across many super-resolution (SR) and image restoration tasks. While many such networks can upscale low-resolution (LR) images using just the raw pixel-level information, the ill-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b5ad59247f11c107c225461dd04a73b
http://arxiv.org/abs/2110.14638
http://arxiv.org/abs/2110.14638
Autor:
Reuben A. Farrugia, Christian Galea
Publikováno v:
IEEE Transactions on Information Forensics and Security. 13:1421-1431
Sketches obtained from eyewitness descriptions of criminals have proven to be useful in apprehending criminals, particularly when there is a lack of evidence. Automated methods to identify subjects depicted in sketches have been proposed in the liter
Autor:
Christian Galea, Christine Guillemot
Publikováno v:
ICASSP 2019-IEEE International Conference on Acoustics, Speech, and Signal Processing
ICASSP 2019-IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom. pp.1882-1886, ⟨10.1109/ICASSP.2019.8683548⟩
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
ICASSP 2019-IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom. pp.1882-1886, ⟨10.1109/ICASSP.2019.8683548⟩
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
International audience; Light fields are 4D signals capturing rich information from a scene. The availability of multiple views enables scene depth estimation, that can be used to generate 3D point clouds. The constructed 3D point clouds, however, ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe18e72de6ddfccd2e0187546c81e285
https://hal.science/hal-02116377
https://hal.science/hal-02116377
Publikováno v:
IC3D 2018-8th International conference on 3D immersion
IC3D 2018-8th International conference on 3D immersion, Dec 2018, Brussels, Belgium. pp.1-7
2018 International Conference on 3D Immersion (IC3D)
IC3D
IC3D 2018-8th International conference on 3D immersion, Dec 2018, Brussels, Belgium. pp.1-7
2018 International Conference on 3D Immersion (IC3D)
IC3D
Light field imaging offers unprecedented opportunities for advanced scene analysis and modelling, with potential applications in various domains such as augmented reality, 3D robotics, and microscopy. This paper illustrates the potential of dense vid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::048f6257381dfd84083ea8e5e9378dd8
https://hal.inria.fr/hal-01925319/file/ic3d_2018.pdf
https://hal.inria.fr/hal-01925319/file/ic3d_2018.pdf
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing
IEEE Journal of Selected Topics in Signal Processing, IEEE, 2017, Special Issue on Light Field Image Processing, pp.1-14. ⟨10.1109/JSTSP.2017.2747127⟩
IEEE Journal of Selected Topics in Signal Processing, 2017, Special Issue on Light Field Image Processing, pp.1-14. ⟨10.1109/JSTSP.2017.2747127⟩
IEEE Journal of Selected Topics in Signal Processing, IEEE, 2017, Special Issue on Light Field Image Processing, pp.1-14. ⟨10.1109/JSTSP.2017.2747127⟩
IEEE Journal of Selected Topics in Signal Processing, 2017, Special Issue on Light Field Image Processing, pp.1-14. ⟨10.1109/JSTSP.2017.2747127⟩
International audience; Light field imaging has emerged as a very promising technology in the field of computational photography. Cameras are becoming commercially available for capturing real-world light fields. However, capturing high spatial resol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cba6a246731646e49ce97779b2a1230f
https://hal.archives-ouvertes.fr/hal-01591488
https://hal.archives-ouvertes.fr/hal-01591488
Autor:
Christian Galea, Reuben A. Farrugia
Numerous methods that automatically identify subjects depicted in sketches as described by eyewitnesses have been implemented, but their performance often degrades when using real-world forensic sketches and extended galleries that mimic law enforcem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0aefeb8e28e6faa184ad9f8eff70654
Autor:
Reuben A. Farrugia, Christian Galea
Publikováno v:
BIOSIG
Numerous algorithms that can identify suspects depicted in sketches following eyewitness descriptions of criminals are currently being developed because of their potential importance in forensics investigations. Yet, despite the prevalent use of soft