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Committee Date Time Place Paper Title / Authors Abstract Paper #
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
VLD, DC, CPSY, RECONF, CPM, ICD, IE
(Joint) [detail]		 2016-11-29
15:45		 Osaka Ritsumeikan University, Osaka Ibaraki Campus [Keynote Address] The development of video coding technology and contribution to HD transition
Akira Nakagawa (Fujitsu Labs.) VLD2016-60 CPM2016-82 ICD2016-43 IE2016-77 CPSY2016-53 DC2016-54 RECONF2016-50		  [more] VLD2016-60 CPM2016-82 ICD2016-43 IE2016-77 CPSY2016-53 DC2016-54 RECONF2016-50
p.97(VLD), p.31(CPM), p.31(ICD), p.31(IE), p.33(CPSY), p.97(DC), p.55(RECONF)
RCS, SAT
(Joint)		 2011-08-25
15:35		 Niigata Niigata Univ. [Requested talk] Development of High Performance Video Codec for Super Hi-Vision
Shinichi Sakaida, Kazuhisa Iguchi, Yoshiaki Shishikui (NHK), Kimihiko Kazui, Akira Nakagawa (FUJITSU LABORATORIES LTD.) SAT2011-27 RCS2011-122		 The Super Hi-Vision (SHV) is an ultra high-definition video system with 4,000 scanning lines. Its video format is 7,680 ... [more] SAT2011-27 RCS2011-122
pp.61-66
SIP, EA 2008-05-30
11:50		 Osaka Kansai Univ. Stereo echo cancellation using MS stereo signals for input signals
Akira Nakagawa, Yoichi Haneda (NTT), Akitoshi Kataoka (Ryukoku Univ.) EA2008-22 SIP2008-31		 The convergence speed of stereo echo cancellation is slower than that of monaural echo cancellation because of the stron... [more] EA2008-22 SIP2008-31
pp.27-32
EA 2008-03-07
17:10		 Tokyo NTT Musashino R&D Center Noise Power Estimation Based on Noise Ratio in Signal and Its Noise Reduction Performance
Masahiro Fukui, Suehiro Shimauchi, Akira Nakagawa, Yoichi Haneda, Akitoshi Kataoka (NTT Cyber Space Lab.) EA2007-126		 Noise power estimation for noisy speech signals is required for noise reduction systems. This paper presents a robust no... [more] EA2007-126
pp.85-90
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