Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Kulkarni, Shreyas A."'
Autor:
Crozier, Peter A., Leibovich, Matan, Haluai, Piyush, Tan, Mai, Thomas, Andrew M., Vincent, Joshua, Mohan, Sreyas, Morales, Adria Marcos, Kulkarni, Shreyas A., Matteson, David S., Wang, Yifan, Fernandez-Granda, Carlos
Nanoparticle surface structural dynamics is believed to play a significant role in regulating functionalities such as diffusion, reactivity, and catalysis but the atomic-level processes are not well understood. Atomic resolution characterization of n
Externí odkaz:
http://arxiv.org/abs/2407.17669
Autor:
Zhong, Zhusi, Zhang, Helen, Fayad, Fayez H., Lancaster, Andrew C., Sollee, John, Kulkarni, Shreyas, Lin, Cheng Ting, Li, Jie, Gao, Xinbo, Collins, Scott, Greineder, Colin, Ahn, Sun H., Bai, Harrison X., Jiao, Zhicheng, Atalay, Michael K.
Purpose: Pulmonary embolism (PE) is a significant cause of mortality in the United States. The objective of this study is to implement deep learning (DL) models using Computed Tomography Pulmonary Angiography (CTPA), clinical data, and PE Severity In
Externí odkaz:
http://arxiv.org/abs/2406.01302
Large Vision-Language models (VLMs) have demonstrated strong reasoning capabilities in tasks requiring a fine-grained understanding of literal images and text, such as visual question-answering or visual entailment. However, there has been little exp
Externí odkaz:
http://arxiv.org/abs/2405.01474
Autor:
Ramjee, Pragnya, Sachdeva, Bhuvan, Golechha, Satvik, Kulkarni, Shreyas, Fulari, Geeta, Murali, Kaushik, Jain, Mohit
The healthcare landscape is evolving, with patients seeking more reliable information about their health conditions, treatment options, and potential risks. Despite the abundance of information sources, the digital age overwhelms individuals with exc
Externí odkaz:
http://arxiv.org/abs/2402.04620
Federated learning has emerged as a promising privacy-preserving solution for machine learning domains that rely on user interactions, particularly recommender systems and online learning to rank. While there has been substantial research on the priv
Externí odkaz:
http://arxiv.org/abs/2310.19163
E-commerce websites (e.g. Amazon) have a plethora of structured and unstructured information (text and images) present on the product pages. Sellers often either don't label or mislabel values of the attributes (e.g. color, size etc.) for their produ
Externí odkaz:
http://arxiv.org/abs/2306.00379
We present a generalized distance metric that can be used to implement routing strategies and identify routing table entries to reach the root node for a given key, in a DHT (Distributed Hash Table) network based on either Chord, Kademlia, Tapestry,
Externí odkaz:
http://arxiv.org/abs/2303.13965
Floods are large-scale natural disasters that often induce a massive number of deaths, extensive material damage, and economic turmoil. The effects are more extensive and longer-lasting in high-population and low-resource developing countries. Early
Externí odkaz:
http://arxiv.org/abs/2210.04218
We present a method to synthesize novel views from a single $360^\circ$ panorama image based on the neural radiance field (NeRF). Prior studies in a similar setting rely on the neighborhood interpolation capability of multi-layer perceptions to compl
Externí odkaz:
http://arxiv.org/abs/2209.14265
Autor:
Kulkarni, Shreyas, Singh, Shreyas, Balakrishnan, Dhananjay, Sharma, Siddharth, Devunuri, Saipraneeth, Korlapati, Sai Chowdeswara Rao
The detection of cracks is a crucial task in monitoring structural health and ensuring structural safety. The manual process of crack detection is time-consuming and subjective to the inspectors. Several researchers have tried tackling this problem u
Externí odkaz:
http://arxiv.org/abs/2208.13054