Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shriya T. P. Gupta"'
Autor:
Basabdatta Sen Bhattacharya, Pablo Linares-Serrano, Teresa Serrano-Gotarredona, Shriya T. P. Gupta
Publikováno v:
2021 55th Annual Conference on Information Sciences and Systems (CISS).
In this paper, we present results of processing Dynamic Vision Sensor (DVS) recordings of visual patterns with a retinal model based on foveal-pit inspired Difference of Gaussian (DoG) filters. A DVS sensor was stimulated with varying number of verti
We have presented a Spiking Convolutional Neural Network (SCNN) that incorporates retinal foveal-pit inspired Difference of Gaussian filters and rank-order encoding. The model is trained using a variant of the backpropagation algorithm adapted to wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f1f0501c6580b380587a1973faf289a
Publikováno v:
ICPR
In-the-wild human pose estimation has a huge potential for various fields, ranging from animation and action recognition to intention recognition and prediction for autonomous driving. The current state-of-the-art is focused only on RGB and RGB-D app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9d142be5ce4e77edc364b43644bde2b
http://arxiv.org/abs/2010.08221
http://arxiv.org/abs/2010.08221
Autor:
Shriya T. P. Gupta, Sanjay K. Sahay
Publikováno v:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference ISBN: 9783030487904
EANN
EANN
Hyperspectral satellite imagery is now widely being used for accurate disaster prediction and terrain feature classification. However, in such classification tasks, most of the present approaches use only the spectral information contained in the ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336ad85fd40e37d799b3bb97955a031c
https://doi.org/10.1007/978-3-030-48791-1_17
https://doi.org/10.1007/978-3-030-48791-1_17
Publikováno v:
ICISDM
Authorship identification is the process of revealing the hidden identity of authors from a corpus of literary data based on a stylometric analysis of the text. It has essential applications in various fields, such as cyber-forensics, plagiarism dete