Zobrazeno 1 - 10
of 920
pro vyhledávání: '"P. Derakhshani"'
Autor:
Omid, Yasaman, Aristodemou, Marios, Lambotharan, Sangarapillai, Derakhshani, Mahsa, Hanzo, Lajos
The integration of low earth orbit (LEO) satellites with terrestrial communication networks holds the promise of seamless global connectivity. The efficiency of this connection, however, depends on the availability of reliable channel state informati
Externí odkaz:
http://arxiv.org/abs/2410.21489
Autor:
Bhowmik, Aritra, Derakhshani, Mohammad Mahdi, Koelma, Dennis, Oswald, Martin R., Asano, Yuki M., Snoek, Cees G. M.
Spatial awareness is key to enable embodied multimodal AI systems. Yet, without vast amounts of spatial supervision, current Visual Language Models (VLMs) struggle at this task. In this paper, we introduce LynX, a framework that equips pretrained VLM
Externí odkaz:
http://arxiv.org/abs/2410.10491
Autor:
Najdenkoska, Ivona, Derakhshani, Mohammad Mahdi, Asano, Yuki M., van Noord, Nanne, Worring, Marcel, Snoek, Cees G. M.
We address the challenge of representing long captions in vision-language models, such as CLIP. By design these models are limited by fixed, absolute positional encodings, restricting inputs to a maximum of 77 tokens and hindering performance on task
Externí odkaz:
http://arxiv.org/abs/2410.10034
In this study, we explore the integration of satellites with ground-based communication networks. Specifically, we analyze downlink data transmission from a constellation of satellites to terrestrial users and address the issue of delayed channel sta
Externí odkaz:
http://arxiv.org/abs/2406.06392
Generative AI has revolutionized modern machine learning by providing unprecedented realism, diversity, and efficiency in data generation. This technology holds immense potential for biometrics, including for securing sensitive and personally identif
Externí odkaz:
http://arxiv.org/abs/2404.05205
Image-language models with prompt learning have shown remarkable advances in numerous downstream vision tasks. Nevertheless, conventional prompt learning methods overfit their training distribution and lose the generalization ability on test distribu
Externí odkaz:
http://arxiv.org/abs/2402.10099
Autor:
Derakhshani, Mohammad Mahdi, Najdenkoska, Ivona, Snoek, Cees G. M., Worring, Marcel, Asano, Yuki M.
We present Self-Context Adaptation (SeCAt), a self-supervised approach that unlocks few-shot abilities for open-ended classification with small visual language models. Our approach imitates image captions in a self-supervised way based on clustering
Externí odkaz:
http://arxiv.org/abs/2310.00500
Autor:
van Sonsbeek, Tom, Derakhshani, Mohammad Mahdi, Najdenkoska, Ivona, Snoek, Cees G. M., Worring, Marcel
Medical Visual Question Answering (VQA) is an important challenge, as it would lead to faster and more accurate diagnoses and treatment decisions. Most existing methods approach it as a multi-class classification problem, which restricts the outcome
Externí odkaz:
http://arxiv.org/abs/2303.05977
Autor:
Derakhshani Ali, Taheri Farahnaz, Geraminia Nima, Mohammadipoor-ghasemabad Lily, Sabzalizadeh Mansoureh, Vafee Farzaneh, Afarinesh Mohammad Reza, Sheibani Vahid
Publikováno v:
Translational Neuroscience, Vol 15, Iss 1, Pp 287-300 (2024)
Cortical lesions can cause major sensory and motor impairments, representing a significant challenge in neuroscience and clinical medicine. Limbal mesenchymal stem cells (LMSCs), renowned for their remarkable ability to proliferate and distinct chara
Externí odkaz:
https://doaj.org/article/34e17106c1af41a99de00b49507dabee
Autor:
Mohammad Abdul Awal Miah, Jaya Chandna, Rejina Gurung, Nahya Salim Masoud, Proma Paul, Shafiqul Ameen, Omkar Basnet, Mustafa Miraji, Cally Tann, Ismat Ara Mili, A K M Tanvir Hossain, Atique Iqbal Chowdhury, Asraful Alam, Kate Mackinnon Milner, Shams El Arifeen, Ashish KC, Karim Manji, Paul Lynch, Joy E. Lawn, Jena Derakhshani Hamadani, EN-REACH collaborative group
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Vulnerable children, including those with neuro-developmental delays and disabilities, often face barriers in accessing early primary education, thus hindering progress toward Sustainable Development Goal 4.2. Evidence-based inter
Externí odkaz:
https://doaj.org/article/38959768241f4c7492c3db9f8d093079