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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2022-12-05 16:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Accuracy Improvement of Real Image Classification by Style Transfer Using Training Data Created from 3DCG Takeru Inoue, Youichi Tomita (Meiji Univ.), Kouji Gakuta, Etsuji Yamada, Aoi Kariya (Digital Printing & Solutions), Masakazu Kinosada, Yujiro Kitaide (Shinsei Printing), Ryusuke Miyamoto (Meiji Univ.)  SIS2022-30 |
In general, in order to achieve sufficient accuracy by machine learning in practical applications, training data appropr... [more] | SIS2022-30 pp.38-43 |
| ET | 2022-11-05 14:55 |
Online | Online | Adaptive Prediction of Learners' Responses Considering Question Texts Yo Ehara (TGU) ET2022-37 |
This paper proposes a method for response prediction adaptive to learners which considers the texts of questions. [more] | ET2022-37 pp.39-46 |
| PRMU | 2022-09-14 16:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Data Augmentation with Style Transfer for Fossil Image Segmentation Akihiro Waza (Osaka Metropolitan Univ.), Yuya Inamura (Osaka Prefecture Univ.), Katsufumi Inoue, Michifumi Yoshioka, Toshihiro Yamada (Osaka Metropolitan Univ.) PRMU2022-17 |
Fossils are extremely important materials in evolutionary biology and earth science. However, it is necessary to have sp... [more] | PRMU2022-17 pp.43-48 |
| AP, MW (Joint) |
2022-09-15 15:05 |
Ehime | The Museum of Art, EHIME (Primary: On-site, Secondary: Online) |
Radio Propagation Prediction using Fine-Tuning method with Few Data Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2022-82 |
Wireless communication systems, such as Beyond 5G, are expected to be essential social infrastructure, and numerous devi... [more] | AP2022-82 pp.62-67 |
| SWIM, SC | 2022-08-26 11:05 |
Online | Held online | Object Recognition by Fingertip Gestures Utilizing Transfer Learning of YOLOv5 Tsukasa Kudo (SIST) SWIM2022-12 SC2022-18 |
In object recognition for videos and images, when the target area is small, the area is firstly extracted by object dete... [more] | SWIM2022-12 SC2022-18 pp.9-15 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 15:05 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Predictive Model of Heat Stress Using Heart Rate Variability Analysis Yusuke Shimada, Masashi Sugano (Osaka Metro. Univ.) SeMI2022-47 |
Predicting and controlling heat stress leads to comfort. Because People have different feelings against heat, we need a ... [more] | SeMI2022-47 pp.127-132 |
| RCS | 2022-06-17 13:40 |
Okinawa | University of the Ryukyus, Senbaru Campus and online (Primary: On-site, Secondary: Online) |
Evaluation of Source Data Selection for CSI Feedback Method based on Deep Transfer Learning in FDD Massive MIMO Systems Mayuko Inoue, Tomoaki Ohtsuki (Keio Univ) RCS2022-62 |
In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO), the downlink channel state informat... [more] | RCS2022-62 pp.224-229 |
| PRMU, IPSJ-CVIM | 2022-05-13 10:15 |
Aichi | Toyota Technological Institute | Shape-preserving Style Transfer by Dense Pixel Correspondences between Input and Output Images and its Application to Gaze Estimation Daiki Mushiake, Norimichi Ukita (TTI) PRMU2022-2 |
Gaze estimation has been applied to a variety of tasks， and many methods using deep learning have been proposed in recen... [more] | PRMU2022-2 pp.6-11 |
| SS | 2022-03-07 15:15 |
Online | Online | Project-domain adaptation with RoBERTa Model for Code Completion Daisuke Fukumoto, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST) SS2021-50 |
Code completion is a function that automatically recommends code for developers when they are writing code. Code complet... [more] | SS2021-50 pp.49-53 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 14:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Fast Distortion Pedal Modeling with Fine-Tuning Haruki Shoji, Kento Yoshimoto, Daiki Saka, Hiroki Kuroda, Daichi Kitahara, Kenichiro Tanaka, Akira Hirabayashi (Ritsumeikan Univ.) EA2021-75 SIP2021-102 SP2021-60 |
We propose a fast modeling method for distortion pedals based on deep learning. For modeling many times with different p... [more] | EA2021-75 SIP2021-102 SP2021-60 pp.70-75 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interpolation of head-related transfer function from small amount of observation data using deep learning based on spherical wavefunction expansion Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2021-90 SIP2021-117 SP2021-75 |
In binaural synthesis, listeners' individual head-related transfer functions (HRTFs) are necessary for highly-immersive ... [more] | EA2021-90 SIP2021-117 SP2021-75 pp.163-170 |
| SeMI | 2022-01-20 14:20 |
Nagano | (Primary: On-site, Secondary: Online) |
[Short Paper]
Estimation of Sound Environment in Room by applying to Transfer Learning using Spectrograms Images Shota Sano, Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) SeMI2021-57 |
A variety of environmental sounds exist in a room, and the classification of these sounds can be expected to have variou... [more] | SeMI2021-57 pp.22-25 |
| IBISML | 2022-01-18 14:40 |
Online | Online | Domain Adaptation with Optimal Transport for Extended Variable Space Toshimitsu Atiake (ISM), Hideitsu Hino (ISM/RIKEN) IBISML2021-27 |
Domain adaptation aims to transfer knowledge of labeled instances obtained from a source domain to a target domain to fi... [more] | IBISML2021-27 pp.67-74 |
| PRMU | 2021-12-17 10:45 |
Online | Online | Data augmentation for domain adaptation by class consistency using soft target Wataru Imaeda (Kyocera Corp.), Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2021-49 |
Domain adaptation is a task to acquire sufficient discrimination performance between images with different domains in le... [more] | PRMU2021-49 pp.136-141 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Deep Transfer Strategies for Recognizing Functional Head-Movement Interactions in Multiparty Meetings Takashi Mori, Kazuhiro Otsuka (YNU) |
In group meetings, the participant's head movements play various functions. This study extends the concept of individual... [more] | |
| MI, MICT [detail] | 2021-11-05 10:00 |
Online | Online | [Short Paper]
Prediction of therapeutic response in Sjogren's syndrome using ultrasound images of parotid glands Kohei Fujiwara, Takeda Keita, Yukinori Takagi, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) MICT2021-30 MI2021-28 |
The purpose of this study was to predict the response to treatment of SS from ultrasound (US) images of salivary glands ... [more] | MICT2021-30 MI2021-28 pp.15-16 |
| 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 |
| SIP | 2021-08-23 13:25 |
Online | Online | A study on transfer learning in unsupervised anomalous sound detection based on deep metric learning considering variance of normal data Hiroki Narita, Akira Tamamori (AIT) SIP2021-28 |
In recent years, anomaly detection research in the field of computer vision has focused on methods based on transfer lea... [more] | SIP2021-28 pp.5-10 |
| ICTSSL | 2021-07-08 13:35 |
Online | Online | Day and night situational awareness of irrigation canals and rivers using microbolometer array sensors and transfer learning Yuxuan Wang, Yuta Miura, Naoshi Eshita, Tsubasa Saito, Yuichi Sato (Akita Univ.) ICTSSL2021-8 |
It is important to monitor the conditions of irrigation canals and rivers under the same conditions and recognize their ... [more] | ICTSSL2021-8 pp.1-5 |
| PRMU, IPSJ-CVIM | 2021-03-04 10:00 |
Online | Online | Saliency Detection by Extended Attention and its Application to Image Synthesis Ryosuke Yamauchi, Masaki Aono (TUT) PRMU2020-71 |
In recent years, there has been much research on Style Transfer and Saliency Detection. Style Transfer is a task to sy... [more] |
PRMU2020-71 pp.13-18 |
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