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Results for “"Md. Sourave Hossain"”

4 results

Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra

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Koushik Roy, Md Hasan, Labiba Kanij Rupty, Md. Sourave Hossain et al.

Journal: SensorsYear: 2021Citations: 27

The emergence of biometric-based authentication using modern sensors on electronic devices has led to an escalated use of face recognition technologies. While these technologies may seem intriguing, they are accompanied by numerous implicit drawbacks. In this paper, we look into the problem of face ...

Physical SciencesComputer ScienceSignal ProcessingOpen Access
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A-DeepPixBis: Attentional Angular Margin for Face Anti-Spoofing

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Md. Sourave Hossain, Labiba Kanij Rupty, Koushik Roy, Md Hasan et al.

Year: 2020Citations: 21

Face Anti Spoofing (FAS) systems are used to identify malicious spoofing attempts targeting face recognition systems using mediums such as video replay or printed papers. With increasing adoption of face recognition technology as a biometric authentication method, FAS techniques are gaining in impor...

Physical SciencesComputer ScienceSignal Processing
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SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and Its Evaluation

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Md. Ekramul Islam, Labib Chowdhury, Faisal Ahamed Khan, Shazzad Hossain et al.

Year: 2023Citations: 19

In this study, we present a Bangla multi-domain sentiment analysis dataset, named as SentiGOLD, developed using 70,000 samples, which was compiled from a variety of sources and annotated by a gender-balanced team of linguists. This dataset was created in accordance with a standard set of linguistic ...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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MHASAN: Multi-Head Angular Self Attention Network for Spoof Detection

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Md Hasan, Koushik Roy, Labiba Kanij Rupty, Md. Sourave Hossain et al.

Journal: 2022 26th International Conference on Pattern Recognition (ICPR)Year: 2022Citations: 3

Despite being the most convenient method of biometric authentication, face recognition based systems on their own are vulnerable to different forms of face presentation attacks (PA). Successful PAs can allow attackers to maliciously gain access to sensitive information of an individual, thus making ...

Physical SciencesComputer ScienceSignal Processing
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