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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 44  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI 2023-11-17
09:20
Tottori
(Primary: On-site, Secondary: Online)
A study of Recurrent Graph Convolutional Network for Sequential Prediction of 3D Human Skeleton Sequence
Tomohiro Fujita, Yasutomo Kawanishi (RIKEN) PRMU2023-33
(To be available after the conference date) [more] PRMU2023-33
pp.97-102
PRMU, IPSJ-CVIM 2023-05-18
14:15
Aichi
(Primary: On-site, Secondary: Online)
Streamable gesture generators for low-latency gesture generation
Yuna Mitsubayashi, Naoshi Kaneko, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2023-4
Currently, conversational agents such as interactive robots are developing remarkably, and not only their dialogue respo... [more] PRMU2023-4
pp.16-21
AP 2023-05-12
10:00
Okinawa Okinawa Gender Equality Center
(Primary: On-site, Secondary: Online)
A Study on Radio Propagation Modeling using RNN-Encoder with Variable-Size Map Data
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2023-17
For efficient evaluation of the performance of wireless systems in physical space, wireless emulation techniques in virt... [more] AP2023-17
pp.48-53
HCS 2023-01-22
16:00
Kyoto Kyoto Institute of Technology
(Primary: On-site, Secondary: Online)
Decoding of average ERPs during silent Japanese words by attention-based RNN with encoder-decoder
Toshimasa Yamazaki, Yuko Tokunaga, Chieko Ito (KIT) HCS2022-74
This study attempted to decode average event-related potentials (ERPs) during silent Japanese words by attention-based r... [more] HCS2022-74
pp.108-111
AP, WPT
(Joint)
2023-01-19
11:15
Hiroshima Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online)
Multi-Input RNN Based Proactive Prediction of Path Loss using Building Information in UMa Environments
Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-180
We report a multi-input RNN model that predicts path loss after 5 seconds using GRU (Gated Recurrent Unit), which is one... [more] AP2022-180
pp.18-23
IBISML 2022-12-23
09:40
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Effect of memory unit initialization on performance for function approximation
Yuto Terasawa, Jun Ohkubo (Saitama Univ.) IBISML2022-52
Many researchers have proposed various neural network models for learning time-series data, such as RNN, LSTM, and Trans... [more] IBISML2022-52
pp.62-69
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-12-01
14:50
Tokyo
(Primary: On-site, Secondary: Online)
A Japanese Automatic Speech Recognition System on the Next-Gen Kaldi Framework
Wen Shen Teo, Yasuhiro Minami (UEC) NLC2022-16 SP2022-36
2021 saw the introduction of the cutting-edge successor to the Kaldi speech processing toolkit, known as Next-Gen Kaldi.... [more] NLC2022-16 SP2022-36
pp.39-44
AP, MW
(Joint)
2022-09-15
15:05
Ehime The Museum of Art, EHIME
(Primary: On-site, Secondary: Online)
Radio Propagation Prediction using Fine-Tuning method with Few Data
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2022-82
Wireless communication systems, such as Beyond 5G, are expected to be essential social infrastructure, and numerous devi... [more] AP2022-82
pp.62-67
AP, SANE, SAT
(Joint)
2022-07-27
10:15
Hokkaido Asahikawa Taisetsu Crystal Hall
(Primary: On-site, Secondary: Online)
[Invited Lecture] RNN Based Proactive Prediction of Received Power Using Environmental Information
Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-36
We report a method for predicting received power using a GRU (Gated Recurrent Unit), which is one of the RNNs (Recurrent... [more] AP2022-36
pp.12-16
EA, ASJ-H, ASJ-MA, ASJ-SP 2022-07-07
17:15
Hokkaido   Investigation of an sound event detection system for ultrasound signals.
Kosei Ozeki, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.), Ikeda Kenichi, Yasuda Hiroshi (SST) EA2022-22
Acoustic wave communication is more prone to errors in information identification than radio wave communication because ... [more] EA2022-22
pp.47-50
NS, IN
(Joint)
2022-03-10
11:40
Online Online VNF/CNF migration scheduling based on Encoder-Decoder RNN for cloud native platform
Takahiro Hirayama, Masahiro Jibiki, Takaya Miyazawa, Ved P. Kafle (NICT) IN2021-35
The 5th generation (5G) or beyond 5G (B5G) mobile networks are required to offer various kinds of services, such as enha... [more] IN2021-35
pp.25-30
PRMU, IPSJ-CVIM 2022-03-11
10:45
Online Online Self-supervised Contrastive Learning Using Triplet Loss for Offline Recognition of Handwritten Chinese Text lines
Trung Tan Ngo, Hung Tuan Nguyen, Masaki Nakagawa (TUAT) PRMU2021-78
In this paper, we propose a framework for contrastive learning of visual representations using online triplet loss and a... [more] PRMU2021-78
pp.115-120
SAT, SANE
(Joint)
2022-02-24
14:25
Online Online Study on human detection using beamforming and RNN
Isao Matsushima, Takayuki Kitamura, Satoshi Kageme (Mitsubisi Electric) SANE2021-98
In this paper, we introduce in-door human detection algorithm using millimeter-wave radar. The algorithm based on recurr... [more] SANE2021-98
pp.7-11
RCS, SIP, IT 2022-01-20
15:10
Online Online [Invited Talk] Wireless link quality prediction using physical space information in Society 5.0
Riichi Kudo, Kahoko Takahashi, Hisashi Nagata, Tomoki Murakami, Tomoaki Ogawa (NTT) IT2021-44 SIP2021-52 RCS2021-212
Thanks to the great advances in wireless communication systems, many types of the wireless terminals are available. It i... [more] IT2021-44 SIP2021-52 RCS2021-212
pp.93-94
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2021-12-02
15:20
Online Online improvement of multilingual speech emotion recognition by normalizing features using CRNN
Jinhai Qi, Motoyuki Suzuki (OIT) NLC2021-22 SP2021-43
In this research, a new multilingual emotion recognition method by normalizing features using CRNN has been proposed. We... [more] NLC2021-22 SP2021-43
pp.22-26
ICSS 2021-11-30
09:55
Kochi KOCHIJYO HALL
(Primary: On-site, Secondary: Online)
Comparison of CNN padding method using a part of malware API call sequence data with RNN.
Shugo Asai, Yuichi Futa (TUT) ICSS2021-55
In recent years, as society has become more information-oriented, malware for information has been increasing. In such a... [more] ICSS2021-55
pp.55-60
AP, RCS
(Joint)
2021-11-12
14:00
Nagasaki NBC-Bekkan (Nagasaki)
(Primary: On-site, Secondary: Online)
[Invited Lecture] Prediction of Path Loss Fading Distribution using RNN at 2-4 GHz
Motoharu Sasaki, Nobuaki Kuno, Toshiro Nakahira, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2021-128 RCS2021-174
We report a method for predicting fading distribution of path loss using GRU (Gated Recurrent Unit), which is one of RNN... [more] AP2021-128 RCS2021-174
pp.142-147(AP), pp.164-169(RCS)
MI 2021-08-27
14:10
Online Online A Study of a Pose Estimation Method of Ultrasound Probe Using RNN
Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) MI2021-22
In this paper, we propose an ultrasound (US) probe pose estimation method using deep learning for 3D US image reconstruc... [more] MI2021-22
pp.2-7
AP, SANE, SAT
(Joint)
2021-07-29
13:05
Online Online [Invited Lecture] Prediction of Path Loss Fading Distribution using RNN
Motoharu Sasaki, Nobuaki Kuno, Toshiro Nakahira, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2021-37
We report a method for predicting fading distribution of path loss using GRU (Gated Recurrent Unit), which is one of RNN... [more] AP2021-37
pp.76-80
HPB
(2nd)
2021-03-03 Online Online Estimation of CO2 Concentration Using MOX Sensors and Neural Network
Harunobu Taguchi, Takuya Sano (NITTC), Shinichi Kondo, Koji Takahashi, Yutaka Tamura, Toshimitsu Kitamura (Toshiba Info. Sys. Co.), Shinichiro Mito (NITTC)
A visualization of indoor environments by measuring CO2 concentration has been attracting attention, because CO2 causes ... [more]
 Results 1 - 20 of 44  /  [Next]  
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