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of 25 497
pro vyhledávání: '"A., Vimal"'
Noise-Resilient Homomorphic Encryption: A Framework for Secure Data Processing in Health care Domain
In this paper, we introduce the Fully Homomorphic Integrity Model (HIM), a novel approach designed to enhance security, efficiency, and reliability in encrypted data processing, primarily within the health care industry. HIM addresses the key challen
Externí odkaz:
http://arxiv.org/abs/2412.11474
Autor:
Lee, Seon-Ho, Wang, Jue, Fan, David, Zhang, Zhikang, Liu, Linda, Hao, Xiang, Bhat, Vimal, Li, Xinyu
Publikováno v:
WACV 2025
Audio Description (AD) plays a pivotal role as an application system aimed at guaranteeing accessibility in multimedia content, which provides additional narrations at suitable intervals to describe visual elements, catering specifically to the needs
Externí odkaz:
http://arxiv.org/abs/2412.10002
Autor:
Wang, Yicheng, Zhang, Zhikang, Wang, Jue, Fan, David, Xu, Zhenlin, Liu, Linda, Hao, Xiang, Bhat, Vimal, Li, Xinyu
In various video-language learning tasks, the challenge of achieving cross-modality alignment with multi-grained data persists. We propose a method to tackle this challenge from two crucial perspectives: data and modeling. Given the absence of a mult
Externí odkaz:
http://arxiv.org/abs/2412.07704
The proliferation of several streaming services in recent years has now made it possible for a diverse audience across the world to view the same media content, such as movies or TV shows. While translation and dubbing services are being added to mak
Externí odkaz:
http://arxiv.org/abs/2412.03878
Decomposing theoretical nuclear mass predictions into a liquid-drop parametrization and local shell effects shows that r-process abundances are virtually insensitive to large variations of the masses which originate from nuclear bulk properties of th
Externí odkaz:
http://arxiv.org/abs/2412.03243
Autor:
Sneppen, Albert, Just, Oliver, Bauswein, Andreas, Damgaard, Rasmus, Watson, Darach, Shingles, Luke J., Collins, Christine E., Sim, Stuart A., Xiong, Zewei, Martinez-Pinedo, Gabriel, Soultanis, Theodoros, Vijayan, Vimal
The time until black hole formation in a binary neutron-star (NS) merger contains invaluable information about the nuclear equation of state (EoS) but has thus far been difficult to measure. We propose a new way to constrain the merger remnant's NS l
Externí odkaz:
http://arxiv.org/abs/2411.03427
Image-based Joint-Embedding Predictive Architecture (IJEPA) offers an attractive alternative to Masked Autoencoder (MAE) for representation learning using the Masked Image Modeling framework. IJEPA drives representations to capture useful semantic in
Externí odkaz:
http://arxiv.org/abs/2410.10773
Future communication systems are anticipated to facilitate applications requiring high data transmission rates while maintaining energy efficiency. Hexagonal quadrature amplitude modulation (HQAM) offers this owing to its compact symbol arrangement w
Externí odkaz:
http://arxiv.org/abs/2410.02661
Autor:
Aldeneh, Zakaria, Thilak, Vimal, Higuchi, Takuya, Theobald, Barry-John, Likhomanenko, Tatiana
This study explores using embedding rank as an unsupervised evaluation metric for general-purpose speech encoders trained via self-supervised learning (SSL). Traditionally, assessing the performance of these encoders is resource-intensive and require
Externí odkaz:
http://arxiv.org/abs/2409.10787
Despite researchers having extensively studied various ways to track body pose on-the-go, most prior work does not take into account wheelchair users, leading to poor tracking performance. Wheelchair users could greatly benefit from this pose informa
Externí odkaz:
http://arxiv.org/abs/2409.08494