Výsledky vyhledávání - "Hasan, Md. Mahedi"

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Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation

Autor: Sami, Shoaib Meraj, Hasan, Md Mahedi, Nasrabadi, Nasser M., Rao, Raghuveer

Annotating automatic target recognition (ATR) is a highly challenging task, primarily due to the unavailability of labeled data in the target domain. Hence, it is essential to construct an optimal target domain classifier by utilizing the labeled inf

Externí odkaz: http://arxiv.org/abs/2401.12340

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Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning

Autor: Hasan, Md Mahedi, Sami, Shoaib Meraj, Nasrabadi, Nasser

State-of-the-art face recognition (FR) models often experience a significant performance drop when dealing with facial images in surveillance scenarios where images are in low quality and often corrupted with noise. Leveraging facial characteristics,

Externí odkaz: http://arxiv.org/abs/2312.09367

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Improving Face Recognition from Caption Supervision with Multi-Granular Contextual Feature Aggregation

Autor: Hasan, Md Mahedi, Nasrabadi, Nasser

We introduce caption-guided face recognition (CGFR) as a new framework to improve the performance of commercial-off-the-shelf (COTS) face recognition (FR) systems. In contrast to combining soft biometrics (eg., facial marks, gender, and age) with fac

Externí odkaz: http://arxiv.org/abs/2308.06866

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Akademický článek

Childcare centre for work efficiency of employed parents: perception analysis for business prospects

Autor: Moon, Zarin Khan, Hasan, Md. Mahedi

Publikováno v: South Asian Journal of Marketing, 2022, Vol. 5, Issue 1, pp. 32-46.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/SAJM-04-2022-0028

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Word level Bangla Sign Language Dataset for Continuous BSL Recognition

Autor: Islam, Md Shamimul, Joha, A. J. M. Akhtarujjaman, Hossain, Md Nur, Abdullah, Sohaib, Elwarfalli, Ibrahim, Hasan, Md Mahedi

An robust sign language recognition system can greatly alleviate communication barriers, particularly for people who struggle with verbal communication. This is crucial for human growth and progress as it enables the expression of thoughts, feelings,

Externí odkaz: http://arxiv.org/abs/2302.11559

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A Comparison Study of Deep CNN Architecture in Detecting of Pneumonia

Autor: Porag, Al Mohidur Rahman, Hasan, Md. Mahedi, Ahad, Md Taimur

Pneumonia, a respiratory infection brought on by bacteria or viruses, affects a large number of people, especially in developing and impoverished countries where high levels of pollution, unclean living conditions, and overcrowding are frequently obs

Externí odkaz: http://arxiv.org/abs/2212.14744

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Brain Cancer Segmentation Using YOLOv5 Deep Neural Network

Autor: Paul, Sudipto, Ahad, Md Taimur, Hasan, Md. Mahedi

An expansion of aberrant brain cells is referred to as a brain tumor. The brain's architecture is extremely intricate, with several regions controlling various nervous system processes. Any portion of the brain or skull can develop a brain tumor, inc

Externí odkaz: http://arxiv.org/abs/2212.13599

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