Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Abbasi Reza"'
Publikováno v:
Nanophotonics, Vol 12, Iss 21, Pp 3977-4008 (2023)
Optical image sensors are 2D arrays of pixels that integrate semiconductor photodiodes and field effect transistors for efficient photon conversion and processing of generated electrons. With technological advancements and subsequent democratization
Externí odkaz:
https://doaj.org/article/20a565f3c53a488dac665db1fd75dfc6
Autor:
Marioriyad, Arash, Banayeeanzade, Mohammadali, Abbasi, Reza, Rohban, Mohammad Hossein, Baghshah, Mahdieh Soleymani
Text-to-image diffusion models, such as Stable Diffusion and DALL-E, are capable of generating high-quality, diverse, and realistic images from textual prompts. However, they sometimes struggle to accurately depict specific entities described in prom
Externí odkaz:
http://arxiv.org/abs/2410.20972
Autor:
Abbasi, Reza, Lim, Sernam
The rapid growth in machine learning models, especially in natural language processing and computer vision, has led to challenges when running these models on hardware with limited resources. This paper introduces Superpipeline, a new framework desig
Externí odkaz:
http://arxiv.org/abs/2410.08791
Autor:
Abdollahi, Ali, Ghaznavi, Mahdi, Nejad, Mohammad Reza Karimi, Oriyad, Arash Mari, Abbasi, Reza, Salesi, Ali, Behjati, Melika, Rohban, Mohammad Hossein, Baghshah, Mahdieh Soleymani
Publikováno v:
Volume 392 of ECAI 2024, Pages 729 - 736
Vision-language models (VLMs) are intensively used in many downstream tasks, including those requiring assessments of individuals appearing in the images. While VLMs perform well in simple single-person scenarios, in real-world applications, we often
Externí odkaz:
http://arxiv.org/abs/2407.21001
CLIP models have recently shown to exhibit Out of Distribution (OoD) generalization capabilities. However, Compositional Out of Distribution (C-OoD) generalization, which is a crucial aspect of a model's ability to understand unseen compositions of k
Externí odkaz:
http://arxiv.org/abs/2407.05897
Vision-language models, such as CLIP, have shown promising Out-of-Distribution (OoD) generalization under various types of distribution shifts. Recent studies attempted to investigate the leading cause of this capability. In this work, we follow the
Externí odkaz:
http://arxiv.org/abs/2403.18525
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection
Autor:
Azizmalayeri, Mohammad, Abbasi, Reza, rezaie, Amir Hosein Haji Mohammad, Zohrabi, Reihaneh, Amiri, Mahdi, Manzuri, Mohammad Taghi, Rohban, Mohammad Hossein
Deep neural networks have exhibited remarkable performance in various domains. However, the reliance of these models on spurious features has raised concerns about their reliability. A promising solution to this problem is last-layer retraining, whic
Externí odkaz:
http://arxiv.org/abs/2311.00079
Autor:
Abbasi, Reza1 (AUTHOR), Farzandipour, Mehrdad2,3 (AUTHOR), Rahimi, Habiballah4 (AUTHOR), Gong, Yang5 (AUTHOR), Nabovati, Ehsan2,6 (AUTHOR) Nabovati@kaums.ac.ir
Publikováno v:
BMC Medical Informatics & Decision Making. 12/5/2024, Vol. 24 Issue 1, p1-8. 8p.
Autor:
Imanbekova, Meruyert1 (AUTHOR), Abbasi, Reza1 (AUTHOR), Hu, Xinyue1 (AUTHOR), Sharma, Mohul1 (AUTHOR), Vandewynckele‐Bossut, Marion1 (AUTHOR), Haldavnekar, Rupa1 (AUTHOR), Wachsmann‐Hogiu, Sebastian1 (AUTHOR) sebastian.wachsmannhogiu@mcgill.ca
Publikováno v:
Macromolecular Materials & Engineering. Oct2024, Vol. 309 Issue 10, p1-15. 15p.
Publikováno v:
In Physica B: Condensed Matter 15 February 2025 699