| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:15 |
Online |
online |
Noise-Resistant Learning for Object Detection
Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) |
Supervised training of object detectors requires well-annotated large-scale datasets, whose production is extremely expe... [more] |
|
| BCT, IEEE-BT |
2022-02-17
13:00 |
Online |
Online |
Autoencoder-based Pilot Pattern Design for CDL Channels
Yuta Yamada, Tomoaki Ohtsuki (Keio Univ.) |
In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation ... [more] |
BCT2022-13
pp.1-4 |
| ME |
2021-12-13
15:20 |
Online |
online |
Automatic Generation of Viewpoint Change Video Using Consistent Regularized Generative Adversarial Networks
Kento Otsu (Ritsumeikan Univ.), Masataka Seo (Osaka Institute of Technology Osaka), Yen-Wei Chen (Ritsumeikan Univ.) |
Gaze plays an important role in conversation. However, in a video call system using a personal computer or the like, it ... [more] |
ME2021-96
pp.33-35 |
| IIEEJ, AIT |
2021-10-27
15:40 |
Osaka |
(Primary: On-site, Secondary: Online) |
Acquisition of Human's Memory Mechanism for Video Frames
Koki Nishimoto, Kimiaki Shirahama (Kindai Univ.) |
When a video is played back, humans understand the contents while unconsciously deciding whether to memorize each frame.... [more] |
AIT2021-145
pp.17-20 |
| BCT, IEICE-SIS |
2021-10-07
15:05 |
Online |
online |
A Method for Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques to Printed Images Using Mobile Devices
Masahiro Yasuda, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) |
A data-embedding technique to printed images has been proposed. In this technique, the embedded data is retrieved from t... [more] |
|
| IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17
14:20 |
Online |
Online |
Study of an Event-Driven CMOS Image Sensor Using Deep Learning (2)
-- An A/D Converter with Low-Resolution and Power-Saving Operation Mode --
Koshiro Itsuki, Shunsuke Okura (Ritsumeikan Univ.) |
With the progress of the IoT and the Trillion Sensor Universe，the amount of information collected by CMOS image sensors ... [more] |
IST2021-44
pp.35-40 |
| ME |
2021-07-16
13:30 |
Online |
Online |
High-resolution ultrasound imaging with efficient synthesis of transmission angles and frequency subbands based on deep learning
Emi Aiura, Yuta Saito, Norio Tagawa (Tokyo Metro Univ.) |
Ultrasound imaging is widely used in the medical field because it is non-invasive and can be imaged in real time. We hav... [more] |
ME2021-62
pp.5-7 |
| ME |
2021-07-16
14:00 |
Online |
Online |
Image Quality Improvements Using Half Fourier Encoding Method and Non-random Signal Under-sampling in CS-MRI Deep Learning Reconstruction
Yuta Miyamoto, Satoshi Ito (Utsunomiya Univ.) |
Compressed Sensing has the potential to reduce the scan time of MRI, and recently, deep learning has attract at tensions... [more] |
ME2021-63
pp.9-11 |
| IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] |
2021-06-04
15:15 |
Online |
Online |
Acceleration of Dictionary Learning by Non-Separable Oversampled Lapped Transform for Image Restoration
Soushi Takahashi, Shogo Muramatsu (Niigata Univ.) |
This study proposes to accelerate example-based design of non-separable oversampled lapped transform (NSOLT) for image r... [more] |
IST2021-27 ME2021-58
pp.87-92 |
| AIT, IIEEJ, AS, CG-ARTS |
2021-03-08
13:30 |
Online |
Online |
High-Detailing of Low-Detail Motion of CG Characters
Rikuto Tazawa, Hiroshi Mori, Fubito Toyama (Utsunomiya Univ.) |
The motion of a CG character is one of important elements in CG contents. Motion capture and keyframe interpolation are ... [more] |
AIT2021-82
pp.185-186 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
10:20 |
Online |
Online |
A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels
-- Accuracy Verification Focusing on Tunnel Wall Characteristics --
Tomoki Haruyama, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of ... [more] |
MMS2021-1 ME2021-1 AIT2021-1
pp.1-6 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
11:35 |
Online |
Online |
A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more] |
MMS2021-4 ME2021-4 AIT2021-4
pp.17-21 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9
pp.43-46 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
16:40 |
Online |
Online |
A note on improvement of image sentiment analysis based on introduction of image captioning
Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Recently, with the popularization of social network services, the images uploaded by users have been increasing. Users t... [more] |
MMS2021-13 ME2021-13 AIT2021-13
pp.65-69 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
Production and Evaluation of Data Set for Semantic Segmentation of 3D CG Image by H.265/HEVC
Norifumi Kawabata (Tokyo Univ. of Science) |
As one of purpose of study on image segmentation, we are able to consider whether between object and background region c... [more] |
|
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
17:05 |
Online |
Online |
Design Creation with GAN using features that reflect Shape and Material
Shun Matsumura, Kiyoharu Aizawa (UTokyo), Atsushi Honda, Seiji Kurokoshi (DIGISEARCH) |
When designers create a new design, they often refer to the existing design of shapes and materials to create a new desi... [more] |
|
| ME, SIP |
2020-12-16
14:40 |
Online |
Online |
Motor learning based on the presentation of tentative goal
Siqi Sun, Dan Mikami, Susumu Yamamoto (NTT) |
This paper presents a motor learning method based on the presentation of tentative goal. We aim to provide a tentative g... [more] |
ME2020-105
pp.13-16 |
| IEICE-LOIS, IEICE-EMM, IEICE-IE, IEE-CMN, ME, IPSJ-AVM [detail] |
2020-09-01
16:55 |
Online |
Online |
Design of e-learining oriented video streaming system
Kenichi Shimizu, Yasuhiko Higaki, Shigeo Fujimoto, Yasuo Sugai (Chiba Univ.) |
A practical on-demand video delivery system on Moodle was designed and developed for e-learning system for Chiba Univers... [more] |
|
| IEICE-LOIS, IEICE-EMM, IEICE-IE, IEE-CMN, ME, IPSJ-AVM [detail] |
2020-09-01
17:20 |
Online |
Online |
Study on automatic label masking method for plant specimen images using CTPN
Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) |
In this study, the image processing required for registration of the Haginiwa plant specimen image database in c-arc. Si... [more] |
|
| 3DMT, IEICE-SIS, IPSJ-AVM [detail] |
2020-06-03
15:10 |
Online |
G Square (Hakodate Community Plaza) |
3D Animation of a Humanoid Model using EMG Sensors
Tsutomu Horikoshi, Yoshie Nogami (SIT) |
In marine sports such as surfing, it is difficult to practice repeatedly under the same conditions. On the other hand, V... [more] |
3DIT2020-11
pp.25-29 |