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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-04
10:52		 Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)		 Illust Protection against Generative AI using DnCNN
Yukiya Fukuda, Daiju Kanaoka (Kyutech), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) PRMU2023-71		 Although generative AI such as stable diffusion are rapidly developing, but there are concerns about problems such as un... [more] PRMU2023-71
pp.116-121
SIS 2020-12-01
15:15		 Online Online A Proposal of Convolutional Neural Networks detecting and removing noise for Random-Valued Impulse Noise Denoising
Yukiya Fukuda (Kytutech), Ryosuke Kubota (NITUC), Hakaru Tamukoh (Kyutech) SIS2020-34		 When digital images are transmitted, Random-Valued Impulse Noise (RVIN) may cause image degradation. RVIN is known as no... [more] SIS2020-34
pp.35-40
SIS, IPSJ-AVM, ITE-3DMT [detail] 2020-06-03
13:40		 Online Online A Color Image Quantization Method Taking Account of Chromatic Visual Impression
Yukiya Fukuda (Kyutech), Ryosuke Kubota (NIT,UC), Hakaru Tamukoh (Kyutech) SIS2020-3		  [more] SIS2020-3
pp.13-18
SIS 2019-03-07
12:15		 Tokyo Tokyo Univ. Science, Katsushika Campus A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement
Yukiya Fukuda, Hideaki Misawa (NIT, UC), Hakaru Tamukoh (KIT), Ryosuke Kubota (NIT, UC), Byungki Cha, Takashi Aso (KIIT) SIS2018-51		 In this report, we propose an image enlargement algorithm with a color quantization considering infrequent salient color... [more] SIS2018-51
pp.75-80
SIS 2018-12-07
09:30		 Yamaguchi Hagi Civic Center A Switching Noise Removal Filter Based on Convolutional Neural Networks and Its Application to Random-valued Impulse Noise
Yukiya Fukuda, Ryosuke Kubota (NIT, UC) SIS2018-29		 In order to remove random-valued impulse noise (RVIN) on a color image, we propose a novel switching denoising filter ba... [more] SIS2018-29
pp.41-46
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