Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Iiyama, Masaaki"'
We propose a learning-based depth from focus/defocus (DFF), which takes a focal stack as input for estimating scene depth. Defocus blur is a useful cue for depth estimation. However, the size of the blur depends on not only scene depth but also camer
Externí odkaz:
http://arxiv.org/abs/2202.13055
We propose a learning-based multi-view stereo (MVS) method in scattering media, such as fog or smoke, with a novel cost volume, called the dehazing cost volume. Images captured in scattering media are degraded due to light scattering and attenuation
Externí odkaz:
http://arxiv.org/abs/2011.09114
This paper proposes a novel approach for unsupervised domain adaptation (UDA) with target shift. Target shift is a problem of mismatch in label distribution between source and target domains. Typically it appears as class-imbalance in target domain.
Externí odkaz:
http://arxiv.org/abs/2001.07895
Three-dimensional (3D) reconstruction and scene depth estimation from 2-dimensional (2D) images are major tasks in computer vision. However, using conventional 3D reconstruction techniques gets challenging in participating media such as murky water,
Externí odkaz:
http://arxiv.org/abs/1904.00558
Images captured in participating media such as murky water, fog, or smoke are degraded by scattered light. Thus, the use of traditional three-dimensional (3D) reconstruction techniques in such environments is difficult. In this paper, we propose a ph
Externí odkaz:
http://arxiv.org/abs/1804.02836
Autor:
Ina, Takuro, Hashimoto, Atsushi, Iiyama, Masaaki, Kasahara, Hidekazu, Mori, Mikihiko, Minoh, Michihiko
Outlier detection and cluster number estimation is an important issue for clustering real data. This paper focuses on spectral clustering, a time-tested clustering method, and reveals its important properties related to outliers. The highlights of th
Externí odkaz:
http://arxiv.org/abs/1703.01028
Publikováno v:
In Computer Vision and Image Understanding October 2021 211
Publikováno v:
International Journal of Computer Vision; Jun2024, Vol. 132 Issue 6, p1970-1985, 16p
Autor:
Iiyama, Masaaki
Kyoto University (京都大学)
0048
甲第12568号
情博第222号
新制||情||47(附属図書館)
UT51-2006-P28
学位規則第4条第1項該当
0048
甲第12568号
情博第222号
新制||情||47(附属図書館)
UT51-2006-P28
学位規則第4条第1項該当
Externí odkaz:
http://hdl.handle.net/2433/64946
Akademický článek
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