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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
BCT, IEEE-BT 2021-09-03
13:35
Online Online Convolutional Radio Modulation Recognition Networks with Attention Models in Wireless Systems
Haohui Jia, Na Chen, Minoru Okada (NAIST)
In modern wireless systems, deep learning (DL) shows promising performance for wireless signal processing. DL model driv... [more] BCT2021-35
pp.1-4
BCT, IEEE-BT 2022-02-17
13:20
Online TBD Channel Estimation to Mitigate Channel Aging in Massive MIMO with Pilot Contamination
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.)
In a massive multiple-input mltiple-output (MIMO) system based on time division duplex (TDD), the channel state informat... [more] BCT2021-12
pp.13-16
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
13:50
Online Online Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism
Zongyao Li, Ren Togo, Kenji Hirata (Hokkaido Univ.), Kazuhiro Kitajima (Hyogo Med.), Junki Takenaka (Hokkaido Univ.), Yasuo Miyoshi (Hyogo Med.), Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Determination of axillary nodal status is significant to treatment of breast cancer. Typically, the diagnosis of axillar... [more] MMS2021-7 ME2021-7 AIT2021-7
pp.33-36
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
14:50
Online Online Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science)
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more]
3DIT, IEICE-SIS, IPSJ-AVM [detail] 2020-06-04
14:00
Online G Square (Hakodate Community Plaza) An experimental comparison of CNN- and CRNN-CTC for automatic phrase speech recognition systems using a children's speech database
Yunzhe Wang, Yu Tian (Hokkaido Univ.), Yoshikazu Miyanaga (CIST), Hiroshi Tsutsui (Hokkaido Univ.)
Children's speech recognition is still a challenging issue. In the case of children's speeches, the accuracy of conventi... [more]
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-28
10:50
Online Online [Special Talk] High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines -- Sparse Modeling and Convolutional Dictionary Learning --
Shogo Muramatsu (Niigata Univ.)
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] IST2020-30 ME2020-81
p.13
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, 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.)
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
16:35
Hokkaido Hokkaido Univ.
(Cancelled)
A Study on Region Segmentation of Color Laparoscopic Images after Contrast Enhancement Including Super-Resolution CNN by Image Regions
Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.)
As one of image pre-processing method to detect, recognize, and estimate lesion or characteristic region in medical imag... [more] MMS2020-22 HI2020-22 ME2020-50 AIT2020-22
pp.113-118
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
13:00
Hokkaido Hokkaido Univ.
(Cancelled)
Video Coding Using Optimal Intra Prediction Mode Estimation by CNN
Ryota Yokoyama, Masahiko Tahara (Waseda Univ.), Heming Sun (Waseda Univ./JST), Masaru Takeuchi (Waseda Univ.), Yasutaka Matsuo (NHK), Jiro Katto (Waseda Univ.)
These days, efficient video coding is required due to spread of video production and viewing, and high definition video.... [more]
BCT, IEEE-BT 2020-02-20
14:15
Shiga   Learning-Based Channel Estimation for Massive MIMO with Pilot Contamination and Its Impact of Model Mismatch in Training
Hiroki Hirose, Tomoaki Ohtsuki (Keio Univ.)
In massive multiple-input multiple-output (MIMO), a base station (BS) needs accurate estimation of channel state informa... [more] BCT2020-24
pp.13-16
ME 2020-02-08
14:45
Kanagawa Kanto Gakuin University Convolutional Neural Network-based bird detection and species recognition from images automatically captured in real environment
Tiankuang Li, Hiroki Kuroda, Wataru Kitamura, Koji Iwano (Tokyo City Univ.)
Recently, "bird baths" have been installed in various places with the aim of conserving wild birds. In this research, we... [more] ME2020-26
pp.89-92
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
15:45
Tokyo Waseda Univ. Semantic Segmentation for 3D Human Models
Satoshi Yamaguchi, Yoshihiro Kanamori, Jun Mitani (University of Tsukuba)
We propose a technique for semantic segmentation of 3D human models. Existing techniques for general 3D objects solely r... [more] AIT2019-80
pp.119-122
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:30
Hokkaido Hokkaido Univ. Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Nobuhiro Kinoshita, Norihiko Ishii (NHK)
Holographic data storage (HDS) is a promising next generation archival memory with large capacity, high data-transfer ra... [more] MMS2019-20 HI2019-20 ME2019-42 AIT2019-20
pp.205-208
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
16:15
Hokkaido Hokkaido Univ. [Invited Talk] Automatic Gaze Correction based on Deep Learning and Image Warping
Masataka Seo, Yamamoto Takahiro (Ritsumeikan Univ), Toshihiro Kitajima (Samsung), Chen Yen-Wei (Ritsumeikan Univ)
When people take a selfie photo or talk through a video chat system, they tend to look at the screen. Since the position... [more] MMS2019-25 HI2019-25 ME2019-47 AIT2019-25
pp.255-259
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:15
Hokkaido Hokkaido Univ. A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] MMS2019-37 HI2019-37 ME2019-59 AIT2019-37
pp.315-318
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-16
13:15
Hokkaido Hokkaido Univ. Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Kinoshita Nobuhiro, Norihiko Ishii (NHK)
Holographic data storage (HDS) is a promising for next generation archival media. In reproduction, reproduced data of tw... [more] MMS2018-25 HI2018-25 ME2018-25 AIT2018-25
pp.267-270
ME 2017-02-18
14:30
Kanagawa Kanto Gakuin Univ. Automatic extraction of mouth area including teeth and oral cavity area from facial image -- Use of pixelwise area estimation by Convolutional Neural Network --
Kentaro Hirabayashi, Tomoaki Nakamura, Masahide Kaneko (UEC)
A caricature is a medium expressing the facial features of a person briefly, and since it is used in various scenes, stu... [more] ME2017-17
pp.63-66
ME, CE, IPSJ-AVM, IEICE-IE [detail] 2016-08-08
13:30
Fukuoka   Multi-stage identification of GGO candidate regions using DCNN and SVM
Kazuki Hirayama, Joo Kooi Tan, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH), Shoji Kido (YU)
Recently, the development of CAD (Computer Aided Diagnosis) system for the purpose of reducing the burden to the physici... [more]
 Results 1 - 18 of 18  /   
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