Zobrazeno 1 - 10
of 75 991
pro vyhledávání: '"Vo, An A."'
Nonlinear differential equations and systems play a crucial role in modeling systems where time-dependent factors exhibit nonlinear characteristics. Due to their nonlinear nature, solving such systems often presents significant difficulties and chall
Externí odkaz:
http://arxiv.org/abs/2412.17001
Autor:
Jose, Cijo, Moutakanni, Théo, Kang, Dahyun, Baldassarre, Federico, Darcet, Timothée, Xu, Hu, Li, Daniel, Szafraniec, Marc, Ramamonjisoa, Michaël, Oquab, Maxime, Siméoni, Oriane, Vo, Huy V., Labatut, Patrick, Bojanowski, Piotr
Self-supervised visual foundation models produce powerful embeddings that achieve remarkable performance on a wide range of downstream tasks. However, unlike vision-language models such as CLIP, self-supervised visual features are not readily aligned
Externí odkaz:
http://arxiv.org/abs/2412.16334
Recovering a low-complexity signal from its noisy observations by regularization methods is a cornerstone of inverse problems and compressed sensing. Stable recovery ensures that the original signal can be approximated linearly by optimal solutions o
Externí odkaz:
http://arxiv.org/abs/2412.11313
Autor:
Melemenidis, Stavros, Kim, Anna Stephanie, Vo-Phamhi, Jenny, Graves, Edward, Kaffas, Ahmed Nagy El, Hristov, Dimitre
Background: This protocol introduces an ultrasound (US) configuration for whole-body 3D dynamic contrast-enhanced ultrasound (DCE-US) imaging in preclinical applications. The set-up relies on a clinical abdominal matrix US probe to enable mice imagin
Externí odkaz:
http://arxiv.org/abs/2412.09042
Autor:
Vo, Tu, Park, Chan Y.
Publikováno v:
2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, AZ, USA, 2025
Low-light and blurring issues are prevalent when capturing photos at night, often due to the use of long exposure to address dim environments. Addressing these joint problems can be challenging and error-prone if an end-to-end model is trained withou
Externí odkaz:
http://arxiv.org/abs/2412.07527
The ability to reconstruct high-fidelity fluid flow fields from sparse sensor measurement is critical for many science and engineering applications, but remains a huge challenge. This challenge is caused by the large difference between the dimensions
Externí odkaz:
http://arxiv.org/abs/2412.08009
Autor:
Vo, James
As Large Language Models (LLMs) scale to longer context windows, the computational cost of attention mechanisms, which traditionally grows quadratically with input length, presents a critical challenge for real-time and memory-constrained deployments
Externí odkaz:
http://arxiv.org/abs/2412.06198
Autor:
Trung, Quang Hoang, Phuc, Nguyen Van Hoang, Hoang, Le Trung, Hieu, Quang Huu, Duy, Vo Nguyen Le
Text Retrieval (TR) involves finding and retrieving text-based content relevant to a user's query from a large repository, with applications in real-world scenarios such as legal document retrieval. While most existing studies focus on English, limit
Externí odkaz:
http://arxiv.org/abs/2412.13205
Autor:
Nguyen, Trung-Hieu, Vuong, Truong-Giang, Duong, Hong-Nam, Nguyen, Son, Vo, Hieu Dinh, Aoki, Toshiaki, Nguyen, Thu-Trang
Autonomous vehicles (AVs) have demonstrated significant potential in revolutionizing transportation, yet ensuring their safety and reliability remains a critical challenge, especially when exposed to dynamic and unpredictable environments. Real-world
Externí odkaz:
http://arxiv.org/abs/2412.02574
Autor:
Phuc, Dang Vo
This paper investigates Singer's conjecture by examining the cohit module $\mathbb F_2\otimes_{\mathcal A}P^{\otimes h}$ for specific degrees and values of $h$. Utilizing hit problem techniques, we extend previous work by Mothebe et al. and establish
Externí odkaz:
http://arxiv.org/abs/2412.02494