Zobrazeno 1 - 10
of 7 086
pro vyhledávání: '"Soundararajan, A."'
With the rise of marine exploration, underwater imaging has gained significant attention as a research topic. Underwater video enhancement has become crucial for real-time computer vision tasks in marine exploration. However, most existing methods fo
Externí odkaz:
http://arxiv.org/abs/2411.05886
Autor:
Ghosh, Reshmi, Seetharaman, Rahul, Wadhwa, Hitesh, Aggarwal, Somyaa, Basu, Samyadeep, Srinivasan, Soundararajan, Zhao, Wenlong, Chaudhari, Shreyas, Aghazadeh, Ehsan
Retrieval Augmented Generation (RAG) is a widely used approach for leveraging external context in several natural language applications such as question answering and information retrieval. Yet, the exact nature in which a Language Model (LM) leverag
Externí odkaz:
http://arxiv.org/abs/2410.00857
We consider ideals in a polynomial ring generated by collections of power sum polynomials, and obtain conditions under which these define complete intersection rings, normal domains, and unique factorization domains. We also settle a key case of a co
Externí odkaz:
http://arxiv.org/abs/2409.18906
Autor:
Kadosh, Tal, Hasabnis, Niranjan, Soundararajan, Prema, Vo, Vy A., Capota, Mihai, Ahmed, Nesreen, Pinter, Yuval, Oren, Gal
Manual parallelization of code remains a significant challenge due to the complexities of modern software systems and the widespread adoption of multi-core architectures. This paper introduces OMPar, an AI-driven tool designed to automate the paralle
Externí odkaz:
http://arxiv.org/abs/2409.14771
We explore theoretically the properties of engineered bimetallic nano-structured superlattices where an array of nano-clusters of a simple (single band) metal are embedded periodically inside another simple metal with a different work function. The e
Externí odkaz:
http://arxiv.org/abs/2408.15820
Autor:
Wadhwa, Hitesh, Seetharaman, Rahul, Aggarwal, Somyaa, Ghosh, Reshmi, Basu, Samyadeep, Srinivasan, Soundararajan, Zhao, Wenlong, Chaudhari, Shreyas, Aghazadeh, Ehsan
Retrieval Augmented Generation (RAG) enriches the ability of language models to reason using external context to augment responses for a given user prompt. This approach has risen in popularity due to practical applications in various applications of
Externí odkaz:
http://arxiv.org/abs/2406.12824
The design of no-reference (NR) image quality assessment (IQA) algorithms is extremely important to benchmark and calibrate user experiences in modern visual systems. A major drawback of state-of-the-art NR-IQA methods is their limited ability to gen
Externí odkaz:
http://arxiv.org/abs/2406.04654
Neural Radiance Fields (NeRF) show impressive performance in photo-realistic free-view rendering of scenes. Recent improvements on the NeRF such as TensoRF and ZipNeRF employ explicit models for faster optimization and rendering, as compared to the N
Externí odkaz:
http://arxiv.org/abs/2404.19015
Designing a 3D representation of a dynamic scene for fast optimization and rendering is a challenging task. While recent explicit representations enable fast learning and rendering of dynamic radiance fields, they require a dense set of input viewpoi
Externí odkaz:
http://arxiv.org/abs/2404.11669
Autor:
Kumar, Arun1, Soundararajan, Vivek2, Bapuji, Hari3, Köhler, Tine3, Alcadipani, Rafael4, Morsing, Mette5, Coraiola, Diego M.6
Publikováno v:
Academy of Management Learning & Education. Sep2024, Vol. 23 Issue 3, p379-386. 8p.
