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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2022-07-29 13:55 |
Hokkaido | (Primary: On-site, Secondary: Online) |
A Comparison Study on Image Captioning by VGG and YOLO Yan LYU, Qiangfu Zhao, Yong Liu (UoA)  R2022-10 |
Image captioning is a task for generating a descriptive statement automatically for a given image by combining image pro... [more] | R2022-10 pp.7-12 |
| MWPTHz, EST, MW, EMT, OPE, IEE-EMT [detail] | 2022-07-19 09:20 |
Hokkaido | Asahikawa Civic Culture Hall (Primary: On-site, Secondary: Online) |
Proposal for 3D vein authentication Tomoatsu Hasegawa, Hideaki Kimura (Chubu Univ.) EMT2022-7 MW2022-31 OPE2022-10 EST2022-8 MWPTHz2022-5 |
Today, digital security devices are used in a variety of locations.However, some digital authentication devices have cri... [more] | EMT2022-7 MW2022-31 OPE2022-10 EST2022-8 MWPTHz2022-5 pp.1-4 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:20 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Visualization of Important Features for Classifier Decisions using Deep Image Synthesis Yushi Haku, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 |
It is difficult to know the basis for the decisions of machine learning models, and it is necessary to provide a highly ... [more] | SIP2022-28 BioX2022-28 IE2022-28 MI2022-28 pp.144-149 |
| IT, EMM | 2022-05-17 13:25 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
A Note on Time-Varying Two-Dimensional Autoregressive Models and the Bayes Codes Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2022-2 EMM2022-2 |
This paper proposes a two-dimensional autoregressive model with time-varying parameters as a stochastic model for explai... [more] | IT2022-2 EMM2022-2 pp.7-12 |
| PRMU, IPSJ-CVIM | 2022-03-10 10:40 |
Online | Online | Medical Image Captioning with Information based on Medical Concepts Riku Tsuneda, Tetsuya Asakawa (TUT), Kazuki Shimizu, Takuyuki Komoda (THC), Masaki Aono (TUT) PRMU2021-64 |
Image Captioning for medical images is expected to augment the judgment of doctors and serve as a second opinion. Medica... [more] | PRMU2021-64 pp.25-30 |
| PRMU, IPSJ-CVIM | 2022-03-11 10:00 |
Online | Online | Generation of Handwritten Document Clones based on Font Style Transfer for Digital Document Images Koma Sasaki (Osaka Univ.), Kazuaki Nakamura (Tokyo Univ. of Science of), Naoko Nitta, Noboru Babaguchi (Osaka Univ.) PRMU2021-75 |
(To be available after the conference date) [more] | PRMU2021-75 pp.97-102 |
| PRMU, IPSJ-CVIM | 2022-03-11 17:10 |
Online | Online | PRMU2021-90 |
No English abstract [more] | PRMU2021-90 pp.186-191 |
| EMM | 2022-03-07 14:45 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
A Melody Generation Method based on An Image Representation of Monophonic Melodies as Rectangle Sequences and Image Inpainting. Yudai Ono, Hirohisa Hioki (Kyoto Univ.) EMM2021-98 |
We propose a method for generating monophonic melodies that are similar to those in a music dataset. Our method takes a ... [more] | EMM2021-98 pp.34-39 |
| VLD, HWS [detail] | 2022-03-08 13:50 |
Online | Online | A Study on Small Area Circuits for CMOS Image Sensor with Message Authentication codes (2)
-- Code generation circuit -- Yu Sekioka, Hiroaki Ogawa, Hayato Tatsuno, Tatsuya Oyama, Yoshihiro Akamatsu, Shunsuke Okura, Takeshi Fujino (Ritsumeikan Univ) VLD2021-98 HWS2021-75 |
In edge AI (Artificial Intelligence) computing, information acquired by sensors is processed with distributed IoT device... [more] | VLD2021-98 HWS2021-75 pp.123-128 |
| NLC | 2022-03-07 11:05 |
Online | Online | Sightseeing spot detection and automatic generation of explanations using Flickr Hanami Ookada (Hiroshima City Univ.), Aya Ishino (HUE), Toshiyuki Takezawa (Hiroshima City Univ.) NLC2021-30 |
Using travel photos with latitude and longitude information in Flickr and image recognition technology, we conducted a s... [more] | NLC2021-30 pp.13-18 |
| MBE, NC (Joint) |
2022-03-03 10:45 |
Online | Online | A General‐purpose Answering System to Visuo-linguistic Instructions based on a DALLE-based Architecture Shotaro Sakaguchi, Tatuji Munaka, Hiroki Kurashige (Tokai Univ) NC2021-62 |
Recently, AI systems that make an answer to a multi-modally integrated instruction composing of texts and images have be... [more] | NC2021-62 pp.82-87 |
| SAT, SANE (Joint) |
2022-02-25 10:55 |
Online | Online | Acceleration of local histogram generation for change detections in satellite SAR images using CPU-integrated graphics processor Masato Gocho (Mitsubishi Electric), Kazunori Ueda (Waseda Univ.) SANE2021-101 |
This paper presents OpenCL-based parallel implementations with CPU-integrated graphics processors for change detection a... [more] | SANE2021-101 pp.21-25 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 11:00 |
Online | Online | Illustration author style translation using SailormoonRedraw data Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui (UTokyo), Naohiro Yanase (BOOK WALKER), Kiyoharu Aizawa (UTokyo) ITS2021-26 IE2021-35 |
The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latt... [more] | ITS2021-26 IE2021-35 pp.7-12 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 12:45 |
Online | Online | Regularizing Generative Adversarial Networks with Internal Representation of Generators Yusuke Hara, Toshihiko Yamasaki (UTokyo) ITS2021-29 IE2021-38 |
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more] | ITS2021-29 IE2021-38 pp.25-30 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:20 |
Online | Online | A Note on Electron Microscope Image Generation from Mix Proportion and Material Property via Generative Adversarial Network for Rubber Materials Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Estimating the properties of rubber materials from ingredients is necessary to accelerate rubber material development. A... [more] | |
| EST | 2022-01-28 14:50 |
Online | Online | Prediction of melting process of inorganic compounds in wood using Seq2Seq Kazunori Asahi, Hiroyasu Usami, Akihiko Okazaki, Yoshihiko Ninomiya (chubu Univ.) EST2021-91 |
In recent years, the importance of carbon neutrality has been increasing, and biomass gasification power generation faci... [more] | EST2021-91 pp.169-172 |
| MI | 2022-01-26 11:05 |
Online | Online | Study on automatic generation of COVID-19 related radiology reports from chest CT images Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57 |
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] | MI2021-57 pp.49-54 |
| MI | 2022-01-26 13:00 |
Online | Online | Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) MI2021-59 |
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] | MI2021-59 pp.59-64 |
| NLP | 2021-12-18 15:15 |
Oita | J:COM Horuto Hall OITA | On Weight Filter Generation Using an Attention Module in a Super-Resolution Method Keitaro Otani, Hidehiro Nakano (Tokyo City Univ.) NLP2021-66 |
In recent years, the development of computer technology has led to an increase in the number of systems that require lar... [more] | NLP2021-66 pp.104-109 |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2021-11-25 10:50 |
Online | Online | Acceleration of Neural Network Visualization RISE by Reduction of Masks Tomoki Nakada, Imamura Kousuke (Kanazawa Univ.) CS2021-61 IE2021-20 |
Recently, various techniques have been proposed to visualize the basis for decisions in image recognition using neural n... [more] | CS2021-61 IE2021-20 pp.7-12 |
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