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pro vyhledávání: '"Rasekh, Ali"'
Autor:
Rasekh, Ali, Heidari, Reza, Rezaie, Amir Hosein Haji Mohammad, Sedeh, Parsa Sharifi, Ahmadi, Zahra, Mitra, Prasenjit, Nejdl, Wolfgang
With the increasing availability of diverse data types, particularly images and time series data from medical experiments, there is a growing demand for techniques designed to combine various modalities of data effectively. Our motivation comes from
Externí odkaz:
http://arxiv.org/abs/2405.15442
Large Vision Language Models (VLMs), such as CLIP, have significantly contributed to various computer vision tasks, including object recognition and object detection. Their open vocabulary feature enhances their value. However, their black-box nature
Externí odkaz:
http://arxiv.org/abs/2404.12839
Autor:
Saadatnejad, Saeed, Rasekh, Ali, Mofayezi, Mohammadreza, Medghalchi, Yasamin, Rajabzadeh, Sara, Mordan, Taylor, Alahi, Alexandre
Predicting 3D human poses in real-world scenarios, also known as human pose forecasting, is inevitably subject to noisy inputs arising from inaccurate 3D pose estimations and occlusions. To address these challenges, we propose a diffusion-based appro
Externí odkaz:
http://arxiv.org/abs/2210.05669
Autor:
Rasekh, Ali
Composite structures are increasingly being used in different industries. Their manufacturing imparts some challenges for the industry: most importantly prediction and control of the process to specification. The usual numerical solutions typically b
Externí odkaz:
http://hdl.handle.net/2429/31050
Publikováno v:
International Journal of Fauna and Biological Studies. 9:35-40
Autor:
Hyder Ali Rather, Pragya Shrivastava, Varsha Gautam, Nisar Ahmad Ganie, Rasekh Ali Dar, Waheed Ahmad Hurra
Publikováno v:
International Journal of Fauna and Biological Studies. 9:21-24
Autor:
AHMAD^RASEKH, ALI
Publikováno v:
Journal of Shi'a Islamic Studies. Winter2016, Vol. 9 Issue 1, p63-94. 32p.
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Akademický článek
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