Zobrazeno 1 - 10
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pro vyhledávání: '"Morsali A."'
Video synopsis is an efficient method for condensing surveillance videos. This technique begins with the detection and tracking of objects, followed by the creation of object tubes. These tubes consist of sequences, each containing chronologically or
Externí odkaz:
http://arxiv.org/abs/2409.05230
Autor:
Najafi, Mohammad Hossein, Morsali, Mohammad, Vahediahmar, Mohammadmahdi, Shouraki, Saeed Bagheri
Recent advancements in deep learning, particularly in medical imaging, have significantly propelled the progress of healthcare systems. However, examining the robustness of medical images against adversarial attacks is crucial due to their real-world
Externí odkaz:
http://arxiv.org/abs/2408.08489
Autor:
Vungarala, Deepak, Nazzal, Mahmoud, Morsali, Mehrdad, Zhang, Chao, Ghosh, Arnob, Khreishah, Abdallah, Angizi, Shaahin
In the ever-evolving landscape of Deep Neural Networks (DNN) hardware acceleration, unlocking the true potential of systolic array accelerators has long been hindered by the daunting challenges of expertise and time investment. Large Language Models
Externí odkaz:
http://arxiv.org/abs/2404.10875
Autor:
Morsali, M. M., Sharifi, Z., Fallah, F., Hashembeiki, S., Mohammadzade, H., Shouraki, S. Bagheri
This paper introduces SFSORT, the world's fastest multi-object tracking system based on experiments conducted on MOT Challenge datasets. To achieve an accurate and computationally efficient tracker, this paper employs a tracking-by-detection method,
Externí odkaz:
http://arxiv.org/abs/2404.07553
Autor:
Morsali, Mehrdad, Reidy, Brendan, Najafi, Deniz, Tabrizchi, Sepehr, Imani, Mohsen, Nikdast, Mahdi, Roohi, Arman, Zand, Ramtin, Angizi, Shaahin
This paper proposes a high-performance and energy-efficient optical near-sensor accelerator for vision applications, called Lightator. Harnessing the promising efficiency offered by photonic devices, Lightator features innovative compressive acquisit
Externí odkaz:
http://arxiv.org/abs/2403.05037
Autor:
Najafi, Deniz, Morsali, Mehrdad, Zhou, Ranyang, Roohi, Arman, Marshall, Andrew, Misra, Durga, Angizi, Shaahin
As an emerging post-CMOS Field Effect Transistor, Magneto-Electric FETs (MEFETs) offer compelling design characteristics for logic and memory applications, such as high-speed switching, low power consumption, and non-volatility. In this paper, for th
Externí odkaz:
http://arxiv.org/abs/2312.05212
Free-form image inpainting is the task of reconstructing parts of an image specified by an arbitrary binary mask. In this task, it is typically desired to generalize model capabilities to unseen mask types, rather than learning certain mask distribut
Externí odkaz:
http://arxiv.org/abs/2311.11469
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Aqueous amino acid solutions have been introduced as dietary supplements for both animals and humans. This study investigates the physicochemical properties of the solutions containing amino acids (l-glycine, d,l-alanine, l-proline), choline
Externí odkaz:
https://doaj.org/article/e9b471155aa8497f996c81284963b448
Autor:
Armin Aslani, Soroush Morsali, Seyed Ehsan Mousavi, Samireh Choupani, Zahra Yekta, Seyed Aria Nejadghaderi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Hodgkin lymphoma (HL) is a rare malignancy affecting the lymphatic system. Our study examined the incidence rates of adult HL based on sex, race/ethnicity, age, and histological subgroups in the United States (US) from 2000 to 2020. Data for
Externí odkaz:
https://doaj.org/article/1a46060cec5b4dafb1337c4d050abfe7
In this paper, we propose IMA-GNN as an In-Memory Accelerator for centralized and decentralized Graph Neural Network inference, explore its potential in both settings and provide a guideline for the community targeting flexible and efficient edge com
Externí odkaz:
http://arxiv.org/abs/2303.14162