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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 4 of 4  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, IIEEJ, AS, CG-ARTS 2020-03-13
14:45
Tokyo Tokyo University of Technology
(Cancelled)
Monocular Terrain Depth Estimation with Classification of Depth Distribution
Haruka Takahashi, Yuki Endo, Yoshihiro Kanamori, Jun Mitani (Univ. of Tsukuba)
We propose a method for estimating depth from single-view terrain landscapes using convolutional neural networks (CNNs).... [more] AIT2020-66
pp.65-68
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
09:45
Hokkaido Hokkaido Univ.
(Cancelled)
Fish body measurement by depth estimation for automatic feeding of aquaculture
Kaito Hattori, Nobuo Ezaki, Motonori Saeki (NITTC), Osamu Takahashi (ISE C.L), Tatsuhiko Sakamoto (Mie Univ.)
In the automatic feeding system for aquaculture such as red sea snapper and yellowtail, the amount of feed is calculated... [more] MMS2020-1 HI2020-1 ME2020-29 AIT2020-1
pp.1-5
IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] 2019-12-06
10:10
Iwate Aiina Center Adversarial Examples for Monocular Depth Estimation CNN
Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.)
Adversarial examples for classification and object recognition problems using convolutional neural net- works (CNN) have... [more]
IEICE-SIS, IPSJ-AVM, 3DMT [detail] 2019-06-13
13:55
Nagasaki Fukue Culture Center Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.)
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more]

 Results 1 - 4 of 4  /   
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