Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Seyed Mehdi Iranmanesh"'
Publikováno v:
IEEE Access, Vol 5, Pp 22081-22091 (2017)
Audio-visual recognition (AVR) has been considered as a solution for speech recognition tasks when the audio is corrupted, as well as a visual recognition method used for speaker verification in multispeaker scenarios. The approach of AVR systems is
Externí odkaz:
https://doaj.org/article/89c015693af24942b08d156c3115f61c
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3125793cd9ce82deac1abde32c7fd3f5
https://doi.org/10.1109/icassp49357.2023.10095608
https://doi.org/10.1109/icassp49357.2023.10095608
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:8927-8938
In this paper, we present a simple approach to train Generative Adversarial Networks (GANs) in order to avoid a \textit {mode collapse} issue. Implicit models such as GANs tend to generate better samples compared to explicit models that are trained o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0f8237a6a5a3b13273e0fef02a1e1ed
https://doi.org/10.3233/jifs-201202
https://doi.org/10.3233/jifs-201202
Autor:
Sobhan Soleymani, Nasser M. Nasrabadi, Jeremy Dawson, Seyed Mehdi Iranmanesh, Fariborz Taherkhani, Ali Dabouei
We present a quality-aware multimodal recognition framework that combines representations from multiple biometric traits with varying quality and number of samples to achieve increased recognition accuracy by extracting complimentary identification i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95ba1bea65e118d910e622207a9e181f
http://arxiv.org/abs/2112.05827
http://arxiv.org/abs/2112.05827
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:3925-3934
Forward Collision Warning (FCW) is a promising Advanced Driver Assistance System (ADAS) to mitigate rear-end collisions. The deterministic FCW approaches may occasionally lead to the issuance of annoying false warnings, as they cannot be individualiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f2a3f1e2a9bdc0bfa9218b83e304b14
https://doi.org/10.1109/tits.2018.2791437
https://doi.org/10.1109/tits.2018.2791437
Publikováno v:
Handbook of Pattern Recognition and Computer Vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b4c02a8bf8e72021739ad95f0c56591
https://doi.org/10.1142/9789811211072_0018
https://doi.org/10.1142/9789811211072_0018
Publikováno v:
WACV
In this work, we present a practical approach to the problem of facial landmark detection. The proposed method can deal with large shape and appearance variations under the rich shape deformation. To handle the shape variations we equip our method wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ab093f9588377e4594d0b8739254bc4
https://doi.org/10.1109/wacv45572.2020.9093508
https://doi.org/10.1109/wacv45572.2020.9093508
Publikováno v:
ICB
In this paper, we present an attribute-guided deep coupled learning framework to address the problem of matching polarimetric thermal face photos against a gallery of visible faces. The coupled framework contains two sub-networks, one dedicated to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfc8d55a9e4ec188a5de8b8c88e77743
https://doi.org/10.1109/icb45273.2019.8987416
https://doi.org/10.1109/icb45273.2019.8987416
Autor:
Seyed Mehdi Iranmanesh, Behnam Dehghan
Publikováno v:
International Journal of Engineering Trends and Technology. 30:400-404
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11f5b5b8e71942e26e933fc0783b8a4b
https://doi.org/10.14445/22315381/ijett-v30p275
https://doi.org/10.14445/22315381/ijett-v30p275