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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
(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
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
(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
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
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
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
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
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
PRMU 2020-12-17
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
SP, EA, SIP 2020-03-03
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
PRMU, IPSJ-CVIM 2019-05-31
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
EA, SIP, SP 2019-03-14
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
PRMU 2018-12-14
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
PRMU, SP 2018-06-29
Nagano   [Invited Talk]
Koichi Shinoda (TokyoTech) PRMU2018-33 SP2018-13
(To be available after the conference date) [more] PRMU2018-33 SP2018-13
PRMU 2017-12-17
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
SP 2016-08-25
Kyoto ACCMS, Kyoto Univ. SP2016-37 (To be available after the conference date) [more] SP2016-37
PRMU, BioX 2016-03-25
Tokyo   Boredom state estimation from spontaneous behaviors in multiparty conversations including a robot agent
Yasuhiro Shibasaki (Tokyo Tech), Kotaro Funakoshi (HRI-JP), Koichi Shinoda (Tokyo Tech) BioX2015-61 PRMU2015-184
Conversation systems need to have the abilities to grasp the human internal information such as bore- dom state to becom... [more] BioX2015-61 PRMU2015-184
PRMU 2015-12-22
Nagano   Video Semantic Indexing Using Vocabulary Expansion Based on Word Vectors
Nakamasa Inoue, Koichi Shinoda (TokyoTech) PRMU2015-105
(To be available after the conference date) [more] PRMU2015-105
SIP, EA, SP 2015-03-02
Okinawa   [Special Invited Talk] Intermediate representation for statistical pattern recognition
Koichi Shinoda (TokyoTech) EA2014-85 SIP2014-126 SP2014-148
In Deep learning, which has recently seen its boom, it is still not clear how to optimize multi-layer structures. To sol... [more] EA2014-85 SIP2014-126 SP2014-148
PRMU, CNR 2015-02-20
Miyagi   Human Action Retrieval Based on Temporal Matching
Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2014-139 CNR2014-54
 [more] PRMU2014-139 CNR2014-54
PRMU, CNR 2015-02-20
Miyagi   Spectral Graph Wavelets for Skeleton-based 3D Action Recognition
Tommi Kerola, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2014-140 CNR2014-55
 [more] PRMU2014-140 CNR2014-55
PRMU 2014-03-13
Tokyo   Velocity Pyramid for Event Detection
Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2013-170
In this paper, we propose a new motion feature, a velocity pyramid, for multimedia event detection. In an event which is... [more] PRMU2013-170
PRMU 2014-03-13
Tokyo   Neighbor-to-Neighbor Search for Fast Image Classification
Nakamasa Inoue, Koichi Shinoda (Tokyo Inst. of Tech.) PRMU2013-184
(To be available after the conference date) [more] PRMU2013-184
 Results 1 - 20 of 52  /  [Next]  
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