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pro vyhledávání: '"Ulhaq, Anwaar"'
Vision transformers are emerging as a powerful tool to solve computer vision problems. Recent techniques have also proven the efficacy of transformers beyond the image domain to solve numerous video-related tasks. Among those, human action recognitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7376f43c0d9637471ba7fd980b615b72
With the fast growth of immersive video sequences, achieving seamless and high-quality compressed 3D content is even more critical. MPEG recently developed a video-based point cloud compression (V-PCC) standard for dynamic point cloud coding. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ff68dd85ef9e29a3836d71447710b58
Autor:
Gomes, Douglas P. S., Horry, Michael J., Ulhaq, Anwaar, Paul, Manoranjan, Chakraborty, Subrata, Saha, Manash, Debnath, Tanmoy, Rahaman, D. M. Motiur
The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of medical imaging for COVID-19 lies rather on patient prognosis. Radiologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d5dbe8f0aff53c173f8672c202a4f0
https://hdl.handle.net/10453/145909
https://hdl.handle.net/10453/145909
Autor:
Gomes, Douglas P. S., Ulhaq, Anwaar, Paul, Manoranjan, Horry, Michael J., Chakraborty, Subrata, Saha, Manas, Debnath, Tanmoy, Rahaman, D. M. Motiur
X-ray images may present non-trivial features with predictive information of patients that develop severe symptoms of COVID-19. If true, this hypothesis may have practical value in allocating resources to particular patients while using a relatively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32d05641a4bafae08ee07e286d6df0de
http://arxiv.org/abs/2009.12597
http://arxiv.org/abs/2009.12597