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All Technical Committee Conferences (Searched in: All Years)
| 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) |
Co-speech Gesture Generation with Variational Auto Encoder Shihichi Ka, Koichi Shinoda (Tokyo Tech) |
(To be available after the conference date) [more] | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-02-28 15:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Speech synthesis from electrocorticogram using pre-trained neural vocoder Kai Shigemi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Kohei Yatabe, Toshihisa Tanaka (TUAT) |
(To be available after the conference date) [more] | |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 14:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
Personality Recognition on Dyadic Interactions with Representation Learning Nathania Nah (Tokyo Tech), Takafumi Koshinaka (YCU), Koichi Shinoda (Tokyo Tech)  EA2022-117 SIP2022-161 SP2022-81 |
Personality computing explores methods of automatically measuring human traits to create a better understanding of the h... [more] | EA2022-117 SIP2022-161 SP2022-81 pp.241-246 |
| 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 |
| 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 |
| 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 |
| 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 |
|
| 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 |
|
| SP | 2016-08-25 11:10 |
Kyoto | ACCMS, Kyoto Univ. | SP2016-37 |
(To be available after the conference date) [more] | SP2016-37 pp.53-58 |
| PRMU, BioX | 2016-03-25 13:00 |
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 pp.119-124 |
|
| PRMU | 2015-12-22 09:00 |
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 pp.75-80 |
|
| SIP, EA, SP | 2015-03-02 16:10 |
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 p.73 |
|
| PRMU, CNR | 2015-02-20 09:30 |
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 pp.125-130 |
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