Zobrazeno 1 - 10
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pro vyhledávání: '"and, Ramana"'
Autor:
Zhang, Hezi, Xu, Yiran, Hu, Haotian, Yin, Keyi, Shapourian, Hassan, Zhao, Jiapeng, Kompella, Ramana Rao, Nejabati, Reza, Ding, Yufei
Distributed Quantum Computing (DQC) enables scalability by interconnecting multiple QPUs. Among various DQC implementations, quantum data centers (QDCs), which utilize reconfigurable optical switch networks to link QPUs across different racks, are be
Externí odkaz:
http://arxiv.org/abs/2412.04837
Optical flow estimation is a critical task for tiny mobile robotics to enable safe and accurate navigation, obstacle avoidance, and other functionalities. However, optical flow estimation on tiny robots is challenging due to limited onboard sensing a
Externí odkaz:
http://arxiv.org/abs/2411.14576
Foundation models enable prompt-based classifiers for zero-shot and few-shot learning. Nonetheless, the conventional method of employing fixed prompts suffers from distributional shifts that negatively impact generalizability to unseen samples. This
Externí odkaz:
http://arxiv.org/abs/2410.20164
Autor:
Ganapathy, Nagarajan, Chary, Podakanti Satyajith, Pithani, Teja Venkata Ramana Kumar, Kavati, Pavan, S, Arun Kumar
This Paper presents an advanced approach for fine-tuning BiomedCLIP PubMedBERT, a multimodal model, to classify abnormalities in Video Capsule Endoscopy (VCE) frames, aiming to enhance diagnostic efficiency in gastrointestinal healthcare. By integrat
Externí odkaz:
http://arxiv.org/abs/2410.19944
Autor:
Kreiss, Lucas, Tang, Weiheng, Balla, Ramana, Yang, Xi, Chaware, Amey, Kim, Kanghyun, Cook, Clare B., Begue, Aurelien, Dugo, Clay, Harfouche, Mark, Zhou, Kevin C., Horstmeyer, Roarke
We present an approach of utilizing a multi-camera array system for capturing dynamic high-resolution videos of the human face, with improved imaging performance as compared to traditional single-camera configurations. Employing an array of 54 indivi
Externí odkaz:
http://arxiv.org/abs/2410.01973
We introduce a novel data-driven approach aimed at designing high-quality shape deformations based on a coarse localized input signal. Unlike previous data-driven methods that require a global shape encoding, we observe that detail-preserving deforma
Externí odkaz:
http://arxiv.org/abs/2410.08225
Autor:
Khalili, Hossein, Park, Seongbin, Li, Vincent, Bright, Brandan, Payani, Ali, Kompella, Ramana Rao, Sehatbakhsh, Nader
Autonomous mobile systems increasingly rely on deep neural networks for perception and decision-making. While effective, these systems are vulnerable to adversarial machine learning attacks where minor input perturbations can significantly impact out
Externí odkaz:
http://arxiv.org/abs/2409.00340
Publikováno v:
IEEE Communications Magazine, vol. 62, no. 10, pp. 78-85, 2024
In entanglement distribution networks, communication between two nodes necessitates the generation of end-to-end entanglement by entanglement swapping at intermediate nodes. Efficiently creating end-to-end entanglements over long distances is a key o
Externí odkaz:
http://arxiv.org/abs/2408.06207
Autor:
Dervisevic, Emir, Tankovic, Amina, Fazel, Ehsan, Kompella, Ramana, Fazio, Peppino, Voznak, Miroslav, Mehic, Miralem
Secure communication makes the widespread use of telecommunication networks and services possible. With the constant progress of computing and mathematics, new cryptographic methods are being diligently developed. Quantum Key Distribution (QKD) is a
Externí odkaz:
http://arxiv.org/abs/2408.04580
We study the flow field induced by a sphere translating in a viscous density-stratified ambient, specifically, in the limit of small Reynolds $(Re = \rho U a/\mu \ll 1)$, and viscous Richardson numbers $(Ri_v = \gamma a^3 g/\mu U\ll 1)$, and large Pe
Externí odkaz:
http://arxiv.org/abs/2407.19579