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pro vyhledávání: '"Ghafourian A"'
CQA services are valuable sources of knowledge that can be used to find answers to users' information needs. In these services, question retrieval aims to help users with their information needs by finding similar questions to theirs. However, findin
Externí odkaz:
http://arxiv.org/abs/2411.15530
Autor:
Ghafourian, Amin, CuiZhu, Zhongying, Shi, Debo, Chuang, Ian, Charette, Francois, Sachdeva, Rithik, Soltani, Iman
Publikováno v:
in IEEE Robotics and Automation Letters, vol. 9, no. 4, pp. 3211-3218, April 2024
Human navigation is facilitated through the association of actions with landmarks, tapping into our ability to recognize salient features in our environment. Consequently, navigational instructions for humans can be extremely concise, such as short v
Externí odkaz:
http://arxiv.org/abs/2409.14633
Image inpainting is a valuable technique for enhancing images that have been corrupted. The primary challenge in this research revolves around the extent of corruption in the input image that the deep learning model must restore. To address this chal
Externí odkaz:
http://arxiv.org/abs/2409.12636
Federated Learning (FL) is a machine learning paradigm to conduct collaborative learning among clients on a joint model. The primary goal is to share clients' local training parameters with an integrating server while preserving their privacy. This m
Externí odkaz:
http://arxiv.org/abs/2311.04346
Autor:
Osorio-Roig, Daile, Ghafourian, Mahdi, Rathgeb, Christian, Vera-Rodriguez, Ruben, Busch, Christoph, Fierrez, Julian
Nowadays, facial recognition systems are still vulnerable to adversarial attacks. These attacks vary from simple perturbations of the input image to modifying the parameters of the recognition model to impersonate an authorised subject. So-called pri
Externí odkaz:
http://arxiv.org/abs/2310.02997
Autor:
Gomez, Luis F., Fierrez, Julian, Morales, Aythami, Ghafourian, Mahdi, Tolosana, Ruben, Solano, Imanol, Garcia, Alejandro, Zamora-Martinez, Francisco
Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities. Recently, pulse detection based on remote photoplethysmography (rPPG) has been shown to
Externí odkaz:
http://arxiv.org/abs/2310.02140
Autor:
Shahryar Rajai Firouzabadi, Ida Mohammadi, Kiana Ghafourian, Seyed Ali Mofidi, Shahrzad Rajaei Firouzabadi, Seyed Mahmoud Hashemi, Fahimeh Ramezani Tehrani, Kyana Jafarabady
Publikováno v:
Journal of Ovarian Research, Vol 17, Iss 1, Pp 1-22 (2024)
Abstract Background Primary ovarian insufficiency (POI) manifests with hormonal imbalances, menstrual irregularities, follicle loss, and infertility. Mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) are emerging as a promising treatment
Externí odkaz:
https://doaj.org/article/1f2668a5b4b14480be38f47f5c9e2c52
Autor:
Samadifam, Farshad, Ghafourian, Ehsan
Background: Gliomas are the most common brain tumors, which vary from low to high-grade. Despite the improvements in imaging techniques in the last decade, all parts of the tumor are not visible in these images, due to having a threshold of detection
Externí odkaz:
http://arxiv.org/abs/2308.07976
Autor:
Ghafourian, Amin, Shui, Huanyi, Upadhyay, Devesh, Gupta, Rajesh, Filev, Dimitar, Bozchalooi, Iman Soltani
Autoencoders have been extensively used in the development of recent anomaly detection techniques. The premise of their application is based on the notion that after training the autoencoder on normal training data, anomalous inputs will exhibit a si
Externí odkaz:
http://arxiv.org/abs/2306.12627
Autor:
CuiZhu, Zhongying, Charette, Francois, Ghafourian, Amin, Shi, Debo, Cui, Matthew, Krishnamachar, Anjali, Soltani, Iman
Autonomous driving presents many challenges due to the large number of scenarios the autonomous vehicle (AV) may encounter. End-to-end deep learning models are comparatively simplistic models that can handle a broad set of scenarios. However, end-to-
Externí odkaz:
http://arxiv.org/abs/2306.08865