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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
12:45
Okinawa
(Primary: On-site, Secondary: Online)
Incorporating Acoustic and Textual Information for Language Modeling in Code-switching Speech Recognition
Roland Hartanto, Kuniaki Uto, Koichi Shinoda (TokyoTech) EA2021-73 SIP2021-100 SP2021-58
People who speak two or more languages tend to alternate the language when they are speaking. This particular phenomenon... [more] EA2021-73 SIP2021-100 SP2021-58
pp.56-63
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
13:25
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Transformer-based Text Decoding using Electrocorticography
Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT) EA2021-87 SIP2021-114 SP2021-72
Invasive brain-machine interfaces (BMIs) are a promising neurotechnology for achieving direct speech communication from ... [more] EA2021-87 SIP2021-114 SP2021-72
pp.146-151
ICTSSL, IEE-SMF, IN 2021-10-22
09:00
Online Online Wavelet Transform based Indoor Human Presence/Absence Detection using Several Receivers of 920 MHz Band Radio Waves
Tsgunosuke Horita, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2021-22
There is a growing need for estimation of human presence/absence detection in a room for crime prevention, watching over... [more] ICTSSL2021-22
pp.24-29
ICTSSL, IEE-SMF, IN 2021-10-22
10:50
Online Online Differences in Classification Accuracy of Landslide Hazard using Fixed-point Observation Images due to Network and Image Processing in Deep Learning
Keisuke Tokumoto, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2021-26
In recent years,several landslides included by heavy rains have caused a lot of human damage in Hiroshima. Early evacuat... [more] ICTSSL2021-26
pp.48-53
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:45
Online Online 3D human pose and shape reconstruction with differentiable renderer from body part segmentation
Rintaro Sakurai, Kuniaki Uto, Koichi Shinoda (Tokyo Tech) PRMU2021-6
(To be available after the conference date) [more] PRMU2021-6
pp.31-36
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
14:05
Online Online [Poster Presentation] Noise-robust time-domain speech separation with basis signals for noise
Kohei Ozamoto (Tokyo Tech), Koji Iwano (TCU), Kuniaki Uto, Koichi Shinoda (Tokyo Tech) EA2020-70 SIP2020-101 SP2020-35
Recently, speech separation using deep learning has been extensively studied. TasNet, a time-domain method that directly... [more] EA2020-70 SIP2020-101 SP2020-35
pp.63-67
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
16:10
Online Online Estimation of imagined speech from electrocorticogram with an encoder-decoder model
Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] EA2020-87 SIP2020-118 SP2020-52
pp.164-169
SeMI, IPSJ-MBL, IPSJ-UBI [detail] 2021-03-02
11:15
Online Online A Study on Transmission Scheduling of Sensor System Using LPWA for Landslide Indication Detection
Satoshi Dehara, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ) SeMI2020-65
In order to promote early evacuation and reduce human causalities in landslide disasters, it is important to detect the ... [more] SeMI2020-65
pp.41-46
PRMU 2020-12-17
16:20
Online Online [Short Paper] Few-Shot Incremental Learning by Unifying with Variational Autoencoder
Keita Takayama, Kuniaki Uto, Koichi Shinoda (TokyoTech) PRMU2020-48
We propose a few-shot incremental learning method using a variational autoencoder for deep learning. In incremental lear... [more] PRMU2020-48
pp.58-62
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] A Comparison of Language Models for a Design of Reduced Phoneme Set
Shuji Komeiji, Toshihisa Tanaka (TUAT), Koichi Shinoda (titech) EA2019-152 SIP2019-154 SP2019-101
Language models for a design of reduced phoneme set are compared each other.
The reduction of the phoneme set improves ... [more]
EA2019-152 SIP2019-154 SP2019-101
pp.295-300
ICTSSL, CAS 2020-01-31
12:00
Tokyo   Study on Propagation Characteristics of 920 MHz Band Radio Waves in Mountainous Region for Landslide Sensing Network
Takuya Usui, Makoto Kobayashi, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) CAS2019-85 ICTSSL2019-54
In Hiroshima, human damage caused by landslides is a serious problem. It is important to evacuate residents early in ord... [more] CAS2019-85 ICTSSL2019-54
pp.115-120
PRMU, IPSJ-CVIM 2019-05-31
09:40
Tokyo   Study on feature extraction from leaf-scale plant images
Kuniaki Uto (Tokyo Tech), Mauro Dalla Mura, Jocelyn Chanussot (Grenoble INP), Koichi Shinoda (Tokyo Tech) PRMU2019-7
With the advent of an unmanned aerial vehicle (UAV) and sensing technologies, it is possible to acquire leaf-scale aeria... [more] PRMU2019-7
pp.259-264
EA, SIP, SP 2019-03-14
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] A robust algorithm of phase recovery for speech enhancement
Dongxiao Wang, Koichi Shinoda (TokyoTech), Hirokazu Kameoka (NTT) EA2018-122 SIP2018-128 SP2018-84
 [more] EA2018-122 SIP2018-128 SP2018-84
pp.137-142
PRMU 2018-12-14
11:00
Miyagi   [Short Paper] Skeleton-based Human Action Recognition with Fine-to-Coarse Convolutional Neural Network
Thao Minh Le, Nakamasa Inoue, Koichi Shinoda (TokyoTech) PRMU2018-86
This work introduces a new framework for skeleton-based human action recognition. Existing approaches using Convolutiona... [more] PRMU2018-86
pp.61-64
PRMU, SP 2018-06-29
13:00
Nagano   [Invited Talk]
Koichi Shinoda (TokyoTech) PRMU2018-33 SP2018-13
(To be available after the conference date) [more] PRMU2018-33 SP2018-13
p.65
ASN, ICTSSL 2018-05-14
16:45
Hiroshima Hiroshima City Univ. [Special Talk] Propagation of disaster information to local residents by Grass-roots Information Distribution System
Eiji Utsunomiya, Yuya Minami (KDDI Research), Shinji Inoue, Koichi Shin, Eitaro Kouno, Tomoyuki Ohta, Masahiro Nishi, Kenji Ishida, Yoshiaki Kakuda (Hiroshima City Univ.) ICTSSL2018-7 ASN2018-7
It is important to promptly inform local residents about information on disasters such as sediment disasters and make ev... [more] ICTSSL2018-7 ASN2018-7
pp.35-40
ASN, ICTSSL 2018-05-15
11:25
Hiroshima Hiroshima City Univ. Evaluation of Several Sensors in the Monitoring System for Reducing Damages of Landslide Disasters
Haruki Kozato, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2018-12 ASN2018-12
To reduce damages caused by landslide disasters, it is important for residents to quickly take refuge from the disasters... [more] ICTSSL2018-12 ASN2018-12
pp.65-70
ASN, ICTSSL 2018-05-15
11:50
Hiroshima Hiroshima City Univ. Study of Automatic Landslide Disaster Danger Level Determination Method by Image Processing on Deep Learning
Yusuke Ota, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) ICTSSL2018-13 ASN2018-13
In order to reduce damages caused by landslide disasters, it is important to create an environment in which residents ju... [more] ICTSSL2018-13 ASN2018-13
pp.71-76
PRMU 2017-12-17
09:30
Kanagawa   Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model
Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2017-101
Action sequence recognition aims to recognize what actions occur in a video and their temporal order. In this paper, we ... [more] PRMU2017-101
pp.1-6
AP, WPT
(Joint)
2017-01-19
12:40
Hiroshima Hiroshima Institute of Technology Characteristic Evaluations of TV-wave Human Detection Systems around Vehicles under Actual Environments
Koki Momota, Kohei Yabata, Koichi Shin, Masahiro Nishi (Hiroshima City Univ.) AP2016-129
Recently, the number of car vandalism has been decreasing, but the number of its damage is over 20000 for a year. In su... [more] AP2016-129
pp.1-6
 Results 1 - 20 of 74  /  [Next]  
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