Zobrazeno 1 - 10
of 2 481
pro vyhledávání: '"NEFF, THOMAS"'
Autor:
Parger, Mathias, Tang, Chengcheng, Neff, Thomas, Twigg, Christopher D., Keskin, Cem, Wang, Robert, Steinberger, Markus
Convolutional neural network inference on video input is computationally expensive and requires high memory bandwidth. Recently, DeltaCNN managed to reduce the cost by only processing pixels with significant updates over the previous frame. However,
Externí odkaz:
http://arxiv.org/abs/2210.09887
Novel view synthesis has recently been revolutionized by learning neural radiance fields directly from sparse observations. However, rendering images with this new paradigm is slow due to the fact that an accurate quadrature of the volume rendering e
Externí odkaz:
http://arxiv.org/abs/2207.10312
Autor:
Neff, Thomas, Stadlbauer, Pascal, Parger, Mathias, Kurz, Andreas, Mueller, Joerg H., Chaitanya, Chakravarty R. Alla, Kaplanyan, Anton, Steinberger, Markus
Publikováno v:
Computer Graphics Forum Volume 40, Issue 4, 2021
The recent research explosion around implicit neural representations, such as NeRF, shows that there is immense potential for implicitly storing high-quality scene and lighting information in compact neural networks. However, one major limitation pre
Externí odkaz:
http://arxiv.org/abs/2103.03231
Publikováno v:
Fortune. 1/24/2005, Vol. 151 Issue 2, p109-120. 7p. 5 Color Photographs.
Publikováno v:
i-com, Vol 22, Iss 1, Pp 67-81 (2023)
With the increasing proliferation of security-critical voice-based services such as voice banking, user authentication on smart speakers is becoming a vital requirement. Prior research on verifying the speaker’s identity has been taken a technical
Externí odkaz:
https://doaj.org/article/9ef7ee8e7ebd42d69749d9f09f7439f6
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
BusinessWeek. 11/15/99, Issue 3655, p172-176. 2p. 1 Color Photograph.
Autor:
Davis, James B.
Publikováno v:
The French Review, 1986 Apr 01. 59(5), 804-806.
Externí odkaz:
https://www.jstor.org/stable/394320
Different to semantic segmentation, instance segmentation assigns unique labels to each individual instance of the same class. In this work, we propose a novel recurrent fully convolutional network architecture for tracking such instance segmentation
Externí odkaz:
http://arxiv.org/abs/1806.02070