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pro vyhledávání: '"Rahman, Md Awsafur"'
Autor:
Rahman, Md Awsafur, Hakim, Zaber Ibn Abdul, Sarker, Najibul Haque, Paul, Bishmoy, Fattah, Shaikh Anowarul
The recent surge in AI-generated songs presents exciting possibilities and challenges. While these inventions democratize music creation, they also necessitate the ability to distinguish between human-composed and synthetic songs to safeguard artisti
Externí odkaz:
http://arxiv.org/abs/2408.14080
Autor:
Rahman, Md Awsafur, Paul, Bishmoy, Sarker, Najibul Haque, Hakim, Zaber Ibn Abdul, Fattah, Shaikh Anowarul, Saquib, Mohammad
With the huge technological advances introduced by deep learning in audio & speech processing, many novel synthetic speech techniques achieved incredible realistic results. As these methods generate realistic fake human voices, they can be used in ma
Externí odkaz:
http://arxiv.org/abs/2309.08146
In computer vision, depth estimation is crucial for domains like robotics, autonomous vehicles, augmented reality, and virtual reality. Integrating semantics with depth enhances scene understanding through reciprocal information sharing. However, the
Externí odkaz:
http://arxiv.org/abs/2308.14400
Melanoma is considered to be the deadliest variant of skin cancer causing around 75\% of total skin cancer deaths. To diagnose Melanoma, clinicians assess and compare multiple skin lesions of the same patient concurrently to gather contextual informa
Externí odkaz:
http://arxiv.org/abs/2303.03672
Publikováno v:
IEEE Sensors Journal (Volume: 23, Issue: 18, 15 September 2023)
Depth estimation from a single image is of paramount importance in the realm of computer vision, with a multitude of applications. Conventional methods suffer from the trade-off between consistency and fine-grained details due to the local-receptive
Externí odkaz:
http://arxiv.org/abs/2303.02968
Autor:
Rahman, Md Awsafur, Paul, Bishmoy, Sarker, Najibul Haque, Hakim, Zaber Ibn Abdul, Fattah, Shaikh Anowarul
Synthetic image generation has opened up new opportunities but has also created threats in regard to privacy, authenticity, and security. Detecting fake images is of paramount importance to prevent illegal activities, and previous research has shown
Externí odkaz:
http://arxiv.org/abs/2302.11970
Publikováno v:
In Biomedical Signal Processing and Control February 2024 88 Part A
Automatic lung lesions segmentation of chest CT scans is considered a pivotal stage towards accurate diagnosis and severity measurement of COVID-19. Traditional U-shaped encoder-decoder architecture and its variants suffer from diminutions of context
Externí odkaz:
http://arxiv.org/abs/2012.01473
Publikováno v:
In Computers in Biology and Medicine July 2020 122
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2022 Jul; Vol. 2022, pp. 1024-1027.