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Articles by Soon Ki
Computer Science > Computer Vision and Pattern Recognition
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Computer Science > Computer Vision and Pattern Recognition
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
FLUID: Training-Free Face De-identification via Latent Identity Substitution
arXiv:2511.17005 (cs) View PDF HTML (experimental) Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI) Cite as: arXiv:2511.17005 [cs.CV] (or arXiv:2511.17005v1 [cs.CV] for this version) https://doi.org/10.48550/arXiv.2511.17005 Submission history From: Jinhyeong Park [ view email] [v1] Fri, 21 Nov 2025 07:18:37 UTC (2,691 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is...
A Case of Seizure in a Patient Following Percutaneous Endoscopic Lumbar Discectomy.
Editorial Office Department of Neurosurgery, CHA Bundang Medical Center, CHA University School of Medicine, 59 Yatap-ro, Bundang-gu, Seongnam 13496, Korea Tel: +82-31-780-1924 Fax: +82-31-780-5269 E-mail: support@e-neurospine.org The Korean Spinal Neurosurgery Society #407, Dong-A Villate 2 Town, 350 Seocho-daero, Seocho-gu, Seoul 06631, Korea Tel: +82-2-585-5455 Fax: +82-2-2-523-6812 E-mail: ksns1987@neurospine.or.kr Business License No.: 209-82-62443
Mamba in Vision: A Comprehensive Survey of Techniques and Applications
[Submitted on 4 Oct 2024] Title:Mamba in Vision: A Comprehensive Survey of Techniques and Applications View a PDF of the paper titled Mamba in Vision: A Comprehensive Survey of Techniques and Applications, by Md Maklachur Rahman and 5 other authors View PDF HTML (experimental) Abstract:Mamba is emerging as a novel approach to overcome the challenges faced by Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) in computer vision.
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