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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-29
14:30		 Online Online A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation
Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) SIP2020-14 BioX2020-14 IE2020-14 MI2020-14		 In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more] SIP2020-14 BioX2020-14 IE2020-14 MI2020-14
pp.67-72
NS 2020-04-16
- 2020-04-17		 Online Online Views about Context Networking (5)
Masafumi Katoh, Tomonori Kubota, Eiji Yoshida, Katsuhito Asano (FLAB), Yuji Kojima, Yuuichi Yamagishi (Fujitsu) NS2020-1		 We have aimed to change and move an object person by displaying valuable data while understanding the static profile and... [more] NS2020-1
pp.1-6
IE, IMQ, MVE, CQ
(Joint) [detail]		 2020-03-06
14:50		 Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)		 A high-compression video coding method for video analysis using Deep Learning
Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60		 In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] IMQ2019-39 IE2019-121 MVE2019-60
pp.121-126
AI 2019-11-28
13:05		 Fukuoka   A proposal of a method for analyzing causes of incorrect detection when detecting objects using Deep Learning
Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) AI2019-30		 In this paper, we propose a method for analyzing the causes of incorrect detection / poor accuracy when detecting object... [more] AI2019-30
pp.1-6
PRMU, MI, IPSJ-CVIM [detail] 2019-09-05
13:40		 Okayama   A method for visualizing the cause of misrecognition in object recognition using CNN
Tomonori Kubota (Fujitsu Lab.), Yasuyuki Murata (FST), Yoshifumi Uehara, Akira Nakagawa (Fujitsu Lab.) PRMU2019-25 MI2019-44		 In this paper, we propose a method for visualizing the cause of misrecognition in object recognition using CNN. By this ... [more] PRMU2019-25 MI2019-44
pp.99-104
ICSS 2010-03-26
13:55		 Fukuoka The University of Kitakyushu An Efficient Key Establishment Scheme through Intermediaries for Sensor Networks
Tomonori Kubo, Takashi Satoh (Univ. Kitakyushu) ICSS2009-63		 Establishing shared keys is a fundamental issue to provide secure communications among nodes in sensor networks. We prop... [more] ICSS2009-63
pp.7-11
 Results 1 - 6 of 6  /   
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