Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Gandhi, Tapan Kumar"'
Objective: Our study aims to provide a novel framework for the continuous evaluation of stereoacuity under ambient lighting conditions using Bayesian inference. Methods: We applied a combination of psychophysical and expected entropy minimization pro
Externí odkaz:
http://arxiv.org/abs/2406.18336
In this paper, we propose an novel methodology aimed at simulating the learning phenomenon of nystagmus through the application of differential blurring on datasets. Nystagmus is a biological phenomenon that influences human vision throughout life, n
Externí odkaz:
http://arxiv.org/abs/2312.12143
The process of integration of inputs from several sensory modalities in the human brain is referred to as multisensory integration. Age-related cognitive decline leads to a loss in the ability of the brain to conceive multisensory inputs. There has b
Externí odkaz:
http://arxiv.org/abs/2304.06315
The human brain is liable to undergo substantial alterations, anatomically and functionally with aging. Cognitive brain aging can either be healthy or degenerative in nature. Such degeneration of cognitive ability can lead to disorders such as Alzhei
Externí odkaz:
http://arxiv.org/abs/2206.08197
Autor:
Gupta, Shefali, Gandhi, Tapan Kumar
Publikováno v:
In Neuroscience Informatics September 2024 4(3)
Publikováno v:
In Neuroscience Informatics December 2024 4(4)
Human observers engage in selective information uptake when classifying visual patterns. The same is true of deep neural networks, which currently constitute the best performing artificial vision systems. Our goal is to examine the congruence, or lac
Externí odkaz:
http://arxiv.org/abs/2108.04558
Autor:
Tripathi, Pragati, Ansari, M.A., Gandhi, Tapan Kumar, Albalwy, Faisal, Mehrotra, Rajat, Mishra, Deepak
Publikováno v:
In Heliyon 29 February 2024 10(4)
This paper proposes an efficient video summarization framework that will give a gist of the entire video in a few key-frames or video skims. Existing video summarization frameworks are based on algorithms that utilize computer vision low-level featur
Externí odkaz:
http://arxiv.org/abs/2101.11249