Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hazra, Souvik"'
Autor:
Hazra, Souvik, Feng, Hao, Kiprit, Gamze Naz, Stephan, Michael, Servadei, Lorenzo, Wille, Robert, Weigel, Robert, Santra, Avik
Gesture recognition is one of the most intuitive ways of interaction and has gathered particular attention for human computer interaction. Radar sensors possess multiple intrinsic properties, such as their ability to work in low illumination, harsh w
Externí odkaz:
http://arxiv.org/abs/2203.17066
Autor:
Servadei, Lorenzo, Sun, Huawei, Ott, Julius, Stephan, Michael, Hazra, Souvik, Stadelmayer, Thomas, Lopera, Daniela Sanchez, Wille, Robert, Santra, Avik
In this paper, we introduce the Label-Aware Ranked loss, a novel metric loss function. Compared to the state-of-the-art Deep Metric Learning losses, this function takes advantage of the ranked ordering of the labels in regression problems. To this en
Externí odkaz:
http://arxiv.org/abs/2110.05876
Autor:
Santra, Avik, Hazra, Souvik
This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents s
Akademický článek
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Autor:
Pratiher, Sawon, Mukhopadhyay, Sabyasachi, Hazra, Souvik, Barman, Ritwik, Pasupuleti, Gautham, Ghosh, Nirmalya, Panigrahi, Prasanta K.
Publikováno v:
Proceedings of SPIE; 4/23/2018, Vol. 10685, p1-5, 5p
Autor:
Santra, Avik, Hazra, Souvik, Servadei, Lorenzo, Stadelmayer, Thomas, Stephan, Michael, Dubey, Anand
Publikováno v:
Microwave Journal. Jul2023, Vol. 66 Issue 7, p86-86. 1/2p.
Autor:
Popp, Jürgen, Tuchin, Valery V., Pavone, Francesco S., Pratiher, Sawon, Mukhopadhyay, Sabyasachi, Hazra, Souvik, Barman, Ritwik, Pasupuleti, Gautham, Ghosh, Nirmalya, Panigrahi, Prasanta K.
Publikováno v:
Proceedings of SPIE; June 2018, Vol. 10685 Issue: 1 p1068523-1068523-5