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pro vyhledávání: '"Plaut, Elad"'
Existing monocular 3D object detection methods have been demonstrated on rectilinear perspective images and fail in images with alternative projections such as those acquired by fisheye cameras. Previous works on object detection in fisheye images ha
Externí odkaz:
http://arxiv.org/abs/2003.03759
Autor:
Plaut, Elad, Giryes, Raja
Sparse coding techniques for image processing traditionally rely on a processing of small overlapping patches separately followed by averaging. This has the disadvantage that the reconstructed image no longer obeys the sparsity prior used in the proc
Externí odkaz:
http://arxiv.org/abs/1812.10538
Autor:
Plaut, Elad
The autoencoder is an effective unsupervised learning model which is widely used in deep learning. It is well known that an autoencoder with a single fully-connected hidden layer, a linear activation function and a squared error cost function trains
Externí odkaz:
http://arxiv.org/abs/1804.10253
Akademický článek
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Autor:
Plaut, Elad, Giryes, Raja
Publikováno v:
SIAM Journal on Imaging Sciences; 2019, Vol. 12 Issue 1, p186-210, 25p
Autor:
Plaut, Elad, Giryes, Raja
Publikováno v:
SIAM Journal on Imaging Sciences; 2019, Vol. 12 Issue 1, p186-210, 25p
Publikováno v:
2012 5th European DSP Education & Research Conference (EDERC); 2012, p6-10, 5p