ITE Technical Group Submission System
Conference Schedule
Online Proceedings
[Sign in]
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 51 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
AIT, IIEEJ, AS, CG-ARTS 2021-03-08
13:30
Online Online Proposal of boxing practice support system with AR
Tsukasa Fujikawa, Ken Ishibashi (Kumamoto Pre Univ.)
Acquisition of correct forms is the most important training when beginners take up boxing. However, acquirement of corre... [more] AIT2021-75
pp.165-168
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
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
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
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] 2020-05-28
10:50
Online Online [Special Talk] High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines -- Sparse Modeling and Convolutional Dictionary Learning --
Shogo Muramatsu (Niigata Univ.)
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more] IST2020-30 ME2020-81
p.13
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
14:15
Hokkaido Hokkaido Univ.
(Cancelled)
A note on detection of distress regions in subway tunnels by using U-net based network
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an automated distress region detection method using subway tunnel images. We previously proposed a m... [more] MMS2020-14 HI2020-14 ME2020-42 AIT2020-14
pp.69-72
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
14:55
Hokkaido Hokkaido Univ.
(Cancelled)
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS
Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation ... [more] MMS2020-16 HI2020-16 ME2020-44 AIT2020-16
pp.79-83
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
15:10
Hokkaido Hokkaido Univ.
(Cancelled)
A note on estimation of gaze features for human emotion estimation while viewing images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for estimation of gaze features for human emotion estimation while viewing images. In the p... [more] MMS2020-17 HI2020-17 ME2020-45 AIT2020-17
pp.85-89
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
13:30
Hokkaido Hokkaido Univ.
(Cancelled)
Chromatic Aberration Correction of Color Images Using Deep Learning with Each Channel Training Based on Contrast Enhancement
Naoto Nagashima, Mitsuhiko Meguro (Nihon Univ.)
In this paper, we propose a new correcting method of chromatic aberration occurring in color images using Deep Learning.... [more]
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2020-02-27
16:20
Hokkaido Hokkaido Univ.
(Cancelled)
[Special Talk] Neighbor-Aware Approaches for Pixel Labeling
Ryosuke Furuta (TUS), Naoto Inoue, Toshihiko Yamasaki (UT)
Pixel labeling is one of the most classical and important problems in the field of computer vision because it has a vari... [more]
SIP, ME 2019-11-14
13:25
Kumamoto Sojo University, Main Campus A Proposal of MLOps for Motion Capture Systems Satisfying Sports Demands by Using Human Pose Estimation
Koji Nakagawa, Chikara Miyaji (Teikyo Univ.)
In the sports research, motion capture systems are used widely and effectively. Recently the deep learning progress for ... [more] ME2019-118
pp.15-18
SIP, ME 2019-11-14
16:00
Kumamoto Sojo University, Main Campus A study on appropriate walking pace in mountaineering using wearable sensors
Satoshi Shimada (Nihon Univ.)
For beginners to learn about the practical knowledge of mountain climbing, teaching materials explained with evidence ar... [more] ME2019-123
pp.33-36
HI, VRPSY 2019-11-08
15:20
Osaka Kindai Univ. Effects of auditory information synchronized with physical movement on performance of Japanese calligraphy
Yui Asakawa (Yokohama National Univ.), Katsunori Okajima (Yokohama National Univ)
Conventionally, visualization using images or mirrors is often used to acquire skills in sports and education. On the ot... [more] HI2019-76
pp.21-24
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
11:15
Tokyo Waseda Univ. Application of image recognition technology for movie scene search
Yuya Iino, Meeko Kuwahara, Kazuya Ueki (Meisei Univ.)
Various methods can be considered for scene search, but in this paper we propose application of image recognition techno... [more] AIT2019-52
pp.9-12
AIT, IIEEJ, AS, CG-ARTS 2019-03-12
11:15
Tokyo Waseda Univ. Consideration on diffusion of e-book for infants -- Focus on language learning --
Masatoshi Tezuka, Youhei Seta (Meisei Univ.), Anna Kato (Tut), Yuankai Gao (Meisei Univ.), Ikuko Tubaki (Tut), Kazuya Ueki, Meeko Kuwahara (Meisei Univ.)
In recent years, the penetration rate of e-books has different preferences by genre and age group. With the development ... [more] AIT2019-59
pp.37-40
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
09:30
Hokkaido Hokkaido Univ. A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Microscope Images
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] MMS2019-27 HI2019-27 ME2019-49 AIT2019-27
pp.265-268
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
10:45
Hokkaido Hokkaido Univ. A note on retrieval of similar inspection records based on distance metric learning for supporting maintenance of subway tunnels
Susumu Genma, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Uinv)
This paper proposes a method to retrieve similar inspection records using distance metric learning for supporting tunnel... [more] MMS2019-31 HI2019-31 ME2019-53 AIT2019-31
pp.287-290
ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] 2019-02-20
13:15
Hokkaido Hokkaido Univ. A Note on Gastritis Detection from Gastric X-ray Images via Transfer Learning Approach
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for gastritis detection from gastric X-ray images via a transfer learning approach using a ... [more] MMS2019-37 HI2019-37 ME2019-59 AIT2019-37
pp.315-318
 Results 21 - 40 of 51 [Previous]  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format


[Return to Top Page]

[Return to ITE Web Page]


The Institute of Image Information and Television Engineers (ITE), Japan