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pro vyhledávání: '"Peri, Skand Vishwanath"'
Autor:
Lin, Zhixuan, Wu, Yi-Fu, Peri, Skand Vishwanath, Sun, Weihao, Singh, Gautam, Deng, Fei, Jiang, Jindong, Ahn, Sungjin
The ability to decompose complex multi-object scenes into meaningful abstractions like objects is fundamental to achieve higher-level cognition. Previous approaches for unsupervised object-oriented scene representation learning are either based on sp
Externí odkaz:
http://arxiv.org/abs/2001.02407
Autor:
Sam, Deepak Babu, Peri, Skand Vishwanath, Sundararaman, Mukuntha Narayanan, Kamath, Amogh, Babu, R. Venkatesh
We introduce a detection framework for dense crowd counting and eliminate the need for the prevalent density regression paradigm. Typical counting models predict crowd density for an image as opposed to detecting every person. These regression method
Externí odkaz:
http://arxiv.org/abs/1906.07538
Learning from different modalities is a challenging task. In this paper, we look at the challenging problem of cross modal face verification and recognition between caricature and visual image modalities. Caricature have exaggerations of facial featu
Externí odkaz:
http://arxiv.org/abs/1807.11688
Recent studies suggest that combined analysis of Magnetic resonance imaging~(MRI) that measures brain atrophy and positron emission tomography~(PET) that quantifies hypo-metabolism provides improved accuracy in diagnosing Alzheimer's disease. However
Externí odkaz:
http://arxiv.org/abs/1807.10111
Autor:
Peri, Skand Vishwanath, Dhall, Abhinav
This paper describes our approach for the Disguised Faces in the Wild (DFW) 2018 challenge. The task here is to verify the identity of a person among disguised and impostors images. Given the importance of the task of face verification it is essentia
Externí odkaz:
http://arxiv.org/abs/1804.09669
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