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Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2024-05-17 11:15 |
Okinawa | Design and Inplementation of off-grid smart agriculture system using LEO satellite communications and photovoltaics Shieru Otsuka, Kuniaki Uto, Hideharu Takahashi, Kei Sakaguchi (Tokyo Tech), Tadashi Kawamoto (Tressbio Lab) |
(To be available after the conference date) [more] | ||
| 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 |
| 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 |
| 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 |
| 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 |
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| IBISML | 2013-07-18 11:30 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Estimation of Local Coordinates in Low Dimensional Subspace based on Semi-Supervised Learning with Order Constraints
-- Local Coordinate Extraction from Optical Hyperspectral Data of Vegetation -- Kuniaki Uto (Tokyo Tech.) IBISML2013-5 |
We propose a new method, semi-supervised manifold coordinate projection under order constraints (SMCPOC), and the two va... [more] | IBISML2013-5 pp.27-34 |
| IBISML | 2013-07-18 14:20 |
Tokyo | Nishiwaseda Campus (Waseda univ.) | Detection of abnormal data based on linear classifiers using local coordinates on a normal class
-- Tree disease detection in hyperspectral forest images -- Kuniaki Uto (Tokyo Tech.) IBISML2013-8 |
We propose a new linear classification method in the framework of the generalized eigenvalue problem in which the singul... [more] | IBISML2013-8 pp.51-58 |
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