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pro vyhledávání: '"Mohanty, Vikram"'
Autor:
Mohanty, Vikram
Identifying individuals in historical photographs is important for preserving material culture, correcting historical records, and adding economic value. Historians, antiques dealers, and collectors often rely on manual, time-consuming approaches. Wh
Externí odkaz:
http://hdl.handle.net/10919/116169
Publikováno v:
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. (CHI 23), April 23-28, 2023, Hamburg, Germany. ACM, New York, NY, USA
From ride-hailing to car rentals, consumers are often presented with eco-friendly options. Beyond highlighting a "green" vehicle and CO2 emissions, CO2 equivalencies have been designed to provide understandable amounts; we ask which equivalencies wil
Externí odkaz:
http://arxiv.org/abs/2407.08897
Despite demonstrating robust capabilities in performing tasks related to general-domain data-operation tasks, Large Language Models (LLMs) may exhibit shortcomings when applied to domain-specific tasks. We consider the design of domain-specific AI-po
Externí odkaz:
http://arxiv.org/abs/2405.05548
AI models are constantly evolving, with new versions released frequently. This raises a key question: how should AI-infused systems integrate updates when the downstream impact on user experience and performance is unclear? Human-AI interaction guide
Externí odkaz:
http://arxiv.org/abs/2311.10652
Autor:
Mohanty, Vikram, Luther, Kurt
Historical photos are valuable for their cultural and economic significance, but can be difficult to identify accurately due to various challenges such as low-quality images, lack of corroborating evidence, and limited research resources. Misidentifi
Externí odkaz:
http://arxiv.org/abs/2308.14940
Autor:
Mohanty, Vikram, Agrawal, Shubh, Datta, Shaswat, Ghosh, Arna, Sharma, Vishnu Dutt, Chakravarty, Debashish
Deep Learning based techniques have been adopted with precision to solve a lot of standard computer vision problems, some of which are image classification, object detection and segmentation. Despite the widespread success of these approaches, they h
Externí odkaz:
http://arxiv.org/abs/1611.06069
Autor:
Gould, Zachary Michael Isaac1 (AUTHOR) gould@vt.edu, Mohanty, Vikram2 (AUTHOR), Reichard, Georg1 (AUTHOR), Saad, Walid3 (AUTHOR), Shealy, Tripp4 (AUTHOR), Day, Susan5 (AUTHOR)
Publikováno v:
Energies (19961073). May2023, Vol. 16 Issue 10, p4081. 19p.
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