| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 09:50 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Hierarchical textile pattern aesthetic prediction using multi-task CNN Nonomi Yamashita (Kwansei Gakuin Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.)  IMQ2023-39 IE2023-94 MVE2023-68 |
The aim of this study is to construct a model for estimating impressions and emotions based on the hierarchical structur... [more] | IMQ2023-39 IE2023-94 MVE2023-68 pp.150-153 |
| MI | 2024-03-03 10:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Pilot study of multitask learning for upper abdominal organ extraction and lesion detection on PET/CT images Kohei Yoshida, Mitsutaka Nemoto, Kazuki Otani (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tatsuya Tsuchitani, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-37 |
As one of the studies for highly accurate detection of adrenal metastatic lesions on FDG-PET/CT images, multi-task learn... [more] | MI2023-37 pp.25-27 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-02-29 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Multi-task learning with age information model for highly accurate elderly speech recognition. Shine Takumi, Kinouchi Takahiro, Wakabayashi Yukoh, Kitaoka Norihide (TUT) EA2023-64 SIP2023-111 SP2023-46 |
The speech recognition of the elderly is less accurate, especially in smart speaker speech recognition, due to aging-rel... [more] | EA2023-64 SIP2023-111 SP2023-46 pp.19-24 |
| ET | 2023-11-11 14:50 |
Kagawa | Kagawa University Saiwai-cho (Main) Campus / Online (Primary: On-site, Secondary: Online) |
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification Yuto Takahashi, Masaki Uto (UEC) ET2023-31 |
In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, a... [more] | ET2023-31 pp.40-46 |
| RCS, SAT (Joint) |
2023-08-31 10:55 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
A study on source data and decoder of multitask CSI feedback method in FDD Massive MIMO Mayuko Inoue, Tomoaki Ohtsuki (Keio Univ.) RCS2023-102 |
In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems, it is necessary to obtain down... [more] | RCS2023-102 pp.5-8 |
| SIS, IPSJ-AVM [detail] | 2023-06-15 11:10 |
Shimane | NIT, Matsue College (Primary: On-site, Secondary: Online) |
A New Detection Method of Calcification Regions in Dental Panoramic Radiograph and Application of MTL in Its Learning Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-2 |
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] | SIS2023-2 pp.7-12 |
| NC, MBE (Joint) |
2023-03-14 09:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Dynamical analysis of concurrent and sequential multi-task learning in recurrent neural networks using the graph reduction method Daichi Sugiyama, Hiroki Kurashige (Tokai Univ.) NC2022-99 |
Humans and animals can learn multiple tasks. It is common that learning to learn tasks sequentially. However, it is not ... [more] | NC2022-99 pp.42-47 |
| ET | 2023-01-20 15:15 |
Hyogo | Hyogo College of Medicine and Online (Primary: On-site, Secondary: Online) |
Multi-task Training with Joining-in-type Robot-assisted Language Learning System Yu Zha, Tsuneo Kato, Seiichi Yamamoto, Akihiro Tamura (Doshisha Univ.) ET2022-60 |
Introducing robots into language learning systems is effective, especially in motivating learners to engage in learning ... [more] | ET2022-60 pp.23-28 |
| MVE | 2022-09-09 10:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Presentation Slide Assessment System using Visual and Semantic Segmentation Features Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Toshihiko Yamasaki (UTokyo) MVE2022-13 |
In this paper, we present a new presentation slide assessment system that can consider structural features of the slides... [more] | MVE2022-13 pp.16-21 |
| EA | 2022-05-13 14:35 |
Online | Online | A serial anomalous sound detection method using outlier exposure based on two types of binary classification Ibuki Kuroyanagi (Nagoya Univ.), Tomoki Hayashi (Nagoya Univ./HDL/), Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2022-8 |
Anomalous sound detection systems use only normal sound data to detect unknown, atypical sounds. Conventional methods us... [more] | EA2022-8 pp.35-40 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 17:55 |
Online | Online (Zoom) | A study on multi-task learning toward attractiveness estimation for food photography Mitsuaki Miyazaki, Keisuke Doman (Chukyo Univ.), Ichiro Ide (Nagoya Univ.), Yoshito Mekada (Chukyo Univ.) IMQ2021-68 IE2021-130 MVE2021-97 |
We report the results of a study on multi-task learning for the accuracy improvement of attractiveness estimation of foo... [more] | IMQ2021-68 IE2021-130 MVE2021-97 pp.306-311 |
| CNR, BioX | 2022-03-04 15:50 |
Online | Online | Gait-based Age Estimation Using Angle Suppression Learning Kodai Yamano (Osaka Univ.), Daigo Muramatsu (Seikei Univ.), Noriko Takemura, Yasushi Yagi (Osaka Univ.) BioX2021-56 CNR2021-37 |
Robustness for observation view difference is an important and expected property for gait-based age estimation. In order... [more] | BioX2021-56 CNR2021-37 pp.51-56 |
| RCS, SIP, IT | 2022-01-20 14:05 |
Online | Online | Automatic Modulation Classification Based on SNR estimation using Multi-Task Learning Wataru Machida, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) IT2021-56 SIP2021-64 RCS2021-224 |
Automatic modulation classification is a technology that identifies the modulation type used in received signals and pla... [more] | IT2021-56 SIP2021-64 RCS2021-224 pp.155-160 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Trend Factor Analysis based on the Relationship between Post Text and Images and the Number of Likes Reishi Amitani, Kazuyuki Matsumoto, Minoru Yoshida, Kenji Kita (Tokushima Univ.) |
The purpose of this study is to investigate the trends of social media and propose an analysis method to explore the fac... [more] | |
| MVE | 2021-09-17 13:00 |
Online | Online | Identifying Design Problems of Presentation Slides using a Bimodal Neural Network Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Toshihiko Yamasaki (UTokyo) MVE2021-12 |
Although millions of presentation slides are created every day in business and academia, there are only a limited number... [more] | MVE2021-12 pp.21-26 |
| PRMU, IPSJ-CVIM, IPSJ-NL | 2021-05-21 10:15 |
Online | Online | PRMU2021-4 |
In recent years, multi-task learning and multi-domain learning have been developed to improve the accuracy for each task... [more] | PRMU2021-4 pp.19-24 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 17:35 |
Online | Online | [Short Paper]
Comparison of End-to-End Models for Joint Speaker and Speech Recognition Kak Soky (Kyoto Univ.), Sheng Li (NICT), Masato Mimura, Chenhui Chu, Tatsuya Kawahara (Kyoto Univ.) EA2020-78 SIP2020-109 SP2020-43 |
In this paper, we investigate the effectiveness of using speaker information on the performance of speaker-imbalanced au... [more] | EA2020-78 SIP2020-109 SP2020-43 pp.109-113 |
| PRMU | 2020-12-18 15:25 |
Online | Online | Multi-Task Attention Learning for Fine-grained Recognition Dichao Liu (NU), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) PRMU2020-63 |
Due to its inter-class similarity and intra-class variation, Fine-Grained Image Classification (FGIC) is an intrinsicall... [more] | PRMU2020-63 pp.145-150 |
| PRMU | 2020-12-18 16:30 |
Online | Online | Estimating 3D regions for grasping an object Atsuki Tsukamoto, Kiyoshi Kogure (KIT) PRMU2020-65 |
This paper proposes a method for estimating 3D regions for object grasping. The method takes as its inputs two RGB image... [more] | PRMU2020-65 pp.156-160 |
| SITE, ISEC, HWS, EMM, BioX, IPSJ-CSEC, IPSJ-SPT, ICSS [detail] | 2020-07-20 10:50 |
Online | Online | Development of Feature Extractor for Visible Light Iris Recognition Using Deep Learning Tetsuya Honda, Hironobu Takano (Toyama Pref. Univ.) ISEC2020-16 SITE2020-13 BioX2020-19 HWS2020-9 ICSS2020-3 EMM2020-13 |
Biometric authentication is superior to other personal authentication methods in terms of security against theft and co... [more] |
ISEC2020-16 SITE2020-13 BioX2020-19 HWS2020-9 ICSS2020-3 EMM2020-13 pp.15-19 |
[Return to Top Page]