Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Abhijay Gupta"'
Autor:
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
Publikováno v:
Frontiers in Big Data, Vol 3 (2021)
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important domain for the application of these networks is the FGP
Externí odkaz:
https://doaj.org/article/c0766df513ec43ff8f6284d42859ca59
Autor:
Aprameya Bharadwaj, Arvind Srinivasan, S Natarajan, A. Vinay, Abhijay Gupta, K. N. Balasubramanya Murthy
Publikováno v:
Intelligent Systems, Technologies and Applications ISBN: 9789811539138
In this paper, an efficient approach toward face recognition is presented. The proposed model is invariant to pose, expression, scale, illumination, and translation with the application of different techniques and implementation of their algorithms.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c06b003815bcf03cb3603ee64cdea49
https://doi.org/10.1007/978-981-15-3914-5_2
https://doi.org/10.1007/978-981-15-3914-5_2
Autor:
Arvind Srinivas, K. N. B. Murthy, Aprameya Bharadwaj, A. Vinay, Abhijay Gupta, S Natarajan, Vinayaka R. Kamath
Publikováno v:
Mathematical Modelling and Scientific Computing with Applications ISBN: 9789811513374
Security and identity have become one of the primary concerns of the people in this digital world. Person authentication and identification is transforming the way these services are provided. Earlier it was mainly achieved through passwords and patt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::692c14772cd32393dd4b4f7bb3df582f
https://doi.org/10.1007/978-981-15-1338-1_29
https://doi.org/10.1007/978-981-15-1338-1_29
Autor:
K. N. Balasubramanya Murthy, Abhijay Gupta, S Natarajan, A. Vinay, Arvind Srinivasan, Aprameya Bharadwaj
Publikováno v:
Procedia Computer Science. 143:510-518
In this paper we propose a robust method for face recognition using a descriptor which has been designed to search for features using a grid pattern. This is different from popular key point descriptors which search images only in positions where the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1815f94e340da35880ec04ffea455989
https://doi.org/10.1016/j.procs.2018.10.424
https://doi.org/10.1016/j.procs.2018.10.424
Autor:
K. N. Balasubramanya Murthy, Sriraam Natarajan, Abhijay Gupta, A. Vinay, Aprameya Bharadwaj, Arvind Srinivasan
Publikováno v:
Procedia Computer Science. 132:76-83
In this paper an efficient and robust method for real-time face recognition is proposed. As a part of pre-processing to remove noise and unwanted features, a filter is applied to the images of standard datasets. Subsequently binary patterns are extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71ffb30b2885372c3818f5a388039f8a
https://doi.org/10.1016/j.procs.2018.05.164
https://doi.org/10.1016/j.procs.2018.05.164
Autor:
Ankit Anand, Rajat Nigam, S Natarajan, A. Vinay, K. N. Balasubramanya Murthy, Abhijay Gupta, Harsh Garg
Publikováno v:
Procedia Computer Science. 143:998-1006
The paper proposes an efficient and accurate model for face recognition using an attentive local feature descriptor extracted from Convolutional Neural Network referred to as DEep Local Feature (DELF). The algorithm mentioned formerly is used for ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2033e8195d8eeb20dcf8d0c2252da369
https://doi.org/10.1016/j.procs.2018.10.334
https://doi.org/10.1016/j.procs.2018.10.334
Autor:
A. Vinay, K. N. Balasubramanya Murthy, Aprameya Bharadwaj, Abhijay Gupta, S Natarajan, Arvind Srinivasan
Publikováno v:
Procedia Computer Science. 143:519-527
In this paper we propose a method for person identification. The proposed method is invariant to illumination, scale, pose, camera exposure and translation of the head. In order to make the model illumination invariant, a linear transform is applied.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0f46d4f9a9ee0c3b6be1c3342a32a2d
https://doi.org/10.1016/j.procs.2018.10.425
https://doi.org/10.1016/j.procs.2018.10.425
Autor:
S Natarajan, K. N. Balasubramanya Murthy, A. Vinay, Arvind Srinivas, Harsh Garg, Abhijay Gupta, Aprameya Bharadwaj
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811335990
In this paper, we have proposed an efficient and computationally inexpensive approach toward two mainstreams of image recognition, i.e, face recognition and person identification. Our proposed model is invariant to pose, expression, scale, illuminati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dae2de8b5587a00bbca0f782f65f31f0
https://doi.org/10.1007/978-981-13-3600-3_74
https://doi.org/10.1007/978-981-13-3600-3_74
Autor:
K. N. Balasubramanya Murthy, S Natarajan, A. Vinay, Aprameya Bharadwaj, Abhijay Gupta, Arvind Srinivasan
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811391835
RTIP2R (2)
RTIP2R (2)
In this paper, we propose a highly accurate method for person identification in surveillance using infrared cameras. Our model performs well when faced with the challenges of variation in view, pose, expression, scale and lighting. It outperforms the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::584d3058c32d1c2163980d303b95f724
https://doi.org/10.1007/978-981-13-9184-2_40
https://doi.org/10.1007/978-981-13-9184-2_40
Autor:
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu
Publikováno v:
Frontiers in Big Data
Frontiers in Big Data, Vol 3 (2021)
Frontiers in Big Data, Vol 3 (2021)
Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. An important domain for the application of these networks is the FGP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72cb8996473e51a44dc0decf894ac4c1