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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CAS, CS | 2024-03-14 13:30 |
Okinawa | Characterization of Semantic Communications in Speech Signal Transmission Futo Iwanaga, Daisuke Umehara (Kyoto Inst. of Tech.)  CAS2023-118 CS2023-111 |
In recent years, the volume of data in data communication has surged, Characterization of Semantic Communications in Spe... [more] | CAS2023-118 CS2023-111 pp.41-46 |
|
| CQ, MIKA (Joint) |
2023-08-31 15:55 |
Fukushima | Tenjin-Misaki Sports Park | Semantic Communication with Masked Autoencoders: Enhancing Efficiency in Image Transmission Jiale Wu, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2023-29 |
Semantic communication, a promising candidate for 6G technology, has become a research hot spot. However, existing studi... [more] | CQ2023-29 pp.20-25 |
| RCS, IN, NV (Joint) |
2023-05-25 16:50 |
Kanagawa | Keio University (Hiyoshi Campus), and online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Meta-networking: Overcoming the Shannon Limit by Empowering Information Density with Multi-faceted Awareness Celimuge Wu (UEC) IN2023-11 RCS2023-22 |
This talk introduces Meta-networking: a paradigm shift to the "Networking and Telecommunications" field. Meta-networking... [more] | IN2023-11 RCS2023-22 p.48(IN), p.36(RCS) |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 15:40 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Improvement of cross-attention modules for image captioning using pixel-wise semantic information Zhihao Chen, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-84 IE2022-161 MVE2022-114 |
Most of image captioning models have attention modules, and the module outputs an attention map (weighted feature map) f... [more] | IMQ2022-84 IE2022-161 MVE2022-114 pp.333-338 |
| SIS | 2022-12-05 17:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Visual Odometry Based on Suitable and Restricted Feature Point Extraction Junfeng Xue, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) SIS2022-33 |
Accurate localization is indispensable for autonomous moving. When a camera is an external sensor, visual odometry can b... [more] | SIS2022-33 pp.56-61 |
| TL | 2022-11-26 15:15 |
Yamagata | Yamagata University | Process of reanalysis of mispronounced prosody in sentential context Terumichi Ariga (Tokyo Univ.) TL2022-20 |
Although Japanese pitch accent plays a crucial role in access to the mental lexicon in spoken word recognition, listener... [more] | TL2022-20 pp.11-16 |
| MI | 2022-09-15 14:00 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Unsupervised Cell Detection for Suppression of Background Information in Cytology Keita Takeda, Kazuki Matsuo, Kohei Fujiwara, Eiji Mitate, Tomoya Sakai (Nagasaki Univ.) MI2022-57 |
(To be available after the conference date) [more] | MI2022-57 pp.35-38 |
| HIP, ITE-HI, ASJ-H, VRPSY [detail] | 2022-02-28 10:10 |
Online | Online | Effect of visual processing of gender stereotypes on food examined by inversion effect in semantic priming Miho Sakurai (Ritsumeikan Univ.), Atsushi Kimura (Nihon Univ.), Yuji Wada (Ritsumeikan Univ.) HIP2021-67 |
Kimura et al, (2009, 2012) reported that gender stereo-types (GS) on food by using a semantic priming task. In this stud... [more] | HIP2021-67 pp.48-53 |
| CQ, CBE (Joint) |
2022-01-27 16:05 |
Ishikawa | Kanazawa（Ishikawa Pref.） (Primary: On-site, Secondary: Online) |
Proposal and evaluation of 3D-point object estimation method based on probability space representation Hiroaki Sato, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) CQ2021-83 |
New network services are expected to emerge using real spatial information in remote areas. For the advancement of servi... [more] | CQ2021-83 pp.39-44 |
| MI, MICT [detail] | 2021-11-05 10:45 |
Online | Online | [Short Paper]
A Method for Extracting and Visualizing Calcified Areas from Coronary OCT Images. Ryo Oikawa, Toru Kato, Akio Doi (Iwate Prefectural Univ.), Masaru Ishida (Iwate Medical Univ.) MICT2021-32 MI2021-30 |
Optical coherence tomography (OCT) has been widely used to diagnose calcified areas in coronary arteries in the last dec... [more] | MICT2021-32 MI2021-30 pp.22-25 |
| WBS, IT, ISEC | 2021-03-05 09:00 |
Online | Online | Relationships among Security Notions and Lower Bounds on Tags in Anonymous Broadcast Authentication Hirokazu Kobayashi (Yokohama National Univ..), Yohei Watanabe (The Univ. of Electro-Communications/AIST), Junji Shikata (Yokohama National Univ..) IT2020-143 ISEC2020-73 WBS2020-62 |
Watanabe et al. (SCIS2021) proposed Anonymous Broadcast Authentication (ABA) as a cryptographic primitive for remote con... [more] | IT2020-143 ISEC2020-73 WBS2020-62 pp.187-194 |
| MVE | 2020-09-09 12:00 |
Online | Online | [Short Paper]
Semantic structurization of geotagged tweets for real-world information retrieval Jeongwoo Lim, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi (Osaka Univ.) MVE2020-15 |
Twitter is a useful source for retrieving up-to-date information about the real-world. This paper proposes a method, for... [more] | MVE2020-15 pp.27-28 |
| IBISML | 2020-03-11 10:10 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Sentence Visualization Based on Relative Sentence Embeddings Haruya Ishizuka (Bridgestone Corp.), Daichi Mochihashi (ISM) IBISML2019-42 |
Sentence visualization is important for a organization, such as company or government, since it facilitates to understan... [more] | IBISML2019-42 pp.63-70 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 13:25 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Detection of running area from forest road images with different image quality using deep learning Misato Ushiro, Tetsuya Higashino, Yuukou Horita (Univ. of Toyama) IMQ2019-60 IE2019-142 MVE2019-81 |
Natural disasters such as falling rocks and landslides are increasing year by year on forest roads in hilly and mountain... [more] | IMQ2019-60 IE2019-142 MVE2019-81 pp.231-234 |
| IN, IA (Joint) |
2019-12-19 14:50 |
Hiroshima | Satellite Campus Hiroshima | Improving Network Log Analysis by Semantics Kazuki Otomo (Univ. Tokyo), Satoru Kobayashi, Kensuke Fukuda (NII), Hiroshi Esaki (Univ. Tokyo) IA2019-49 |
System logs are important for network operation. However, automatic log analysis is difficult because the logs are large... [more] | IA2019-49 pp.7-12 |
| PRMU | 2019-10-18 13:55 |
Tokyo | [Fellow Memorial Lecture]
Knowledge Acquisition and Media Search Based on Crossmodal Information Processing Kunio Kashino (NTT) PRMU2019-36 |
Media search can be roughly divided into two methods: a method in which fragments of media content are used as queries a... [more] | PRMU2019-36 p.27 |
|
| IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] | 2019-09-19 15:35 |
Niigata | Tokimeito, Niigata University | Digital watermarking method against print-cam attack using deep learning for synchronization Hiroyuki Imagawa, Motoi Iwata, Koichi Kise (Osaka Pref. Univ.) LOIS2019-12 IE2019-25 EMM2019-69 |
In this paper, we propose a novel watermarking method against print-cam attack. Digital watermarking is used to get inf... [more] |
LOIS2019-12 IE2019-25 EMM2019-69 pp.31-36 |
| HCS | 2019-03-07 16:15 |
Hokkaido | Hokusei Gakuen Univ. | Difference in impression between centripetal and centrifugal face Rina Okada, Nobuyuki Watanabe (KIT) HCS2018-74 |
(To be available after the conference date) [more] | HCS2018-74 pp.43-46 |
| HIP | 2018-10-22 14:05 |
Kyoto | Kyoto Terrsa | A study of functional role in the temporal pole based on a semantic memory learning model Tatsuhiro Ideta, Takeshi Kohama (KU) HIP2018-57 |
In order to elucidate the pathophysiology of semantic dementia (SD), we developed a semantic-space learning model which ... [more] | HIP2018-57 pp.5-8 |
| ITS | 2018-06-12 13:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Towards ADAS Map: Automatic Extraction and Integration of Semantic Traffic Regulation from MMS Data Yue Zhang, Ehsan Javanmardi, Mahdi Javanmardi, Yanlei Gu, Shunsuke Kamijo (UTokyo) ITS2018-2 |
Advanced Driver Assistance Systems (ADAS) map is one of the most important components for autonomous driving. And traffi... [more] | ITS2018-2 pp.7-12 |
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