| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| 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 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29
14:30 |
Online |
Online |
A method for analyze causes of deterioration of predict quality when Deep Learning is applied to instance segmentation
Tomonori Kubota, Takanori Nakao, Masafumi Katoh, Eiji Yoshida, Hidenobu Miyoshi (Fujitsu Lab.) |
In this paper, we propose a method to analyze the cause of deterioration of prediction accuracy in instance segmentation... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
15:30 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Toward script translation in calligraphic works using deep learning
-- Character recognition of seal scripts --
Shohei Ninomiya, Masanori Nakayama, Atsushi Miyazawa, Issei Fujishiro (Keio Univ.) |
Calligraphic scripts are classified broadly into five types: seal, clerical, cursive, running, and standard. In this stu... [more] |
AIT2020-69
pp.75-78 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
11:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Mosaic processing to a non-object using the machine learning in the 360-degree real-time picture streaming
Naoto Endo, Subroto Prasetyo Hudiono, Tsukasa Kikuchi (TUT) |
About mosaic processing technique by the facial recognition using the machine learning [more] |
AIT2020-81
pp.113-114 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
13:45 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Zero-Shot Conditional Inpainting
Naoki Kato, Toshihiko Yamasaki (UTokyo) |
Image processing for objects of the unseen classes is sometimes needed, and one of the solutions of that is ``zero-shot ... [more] |
|
| SIP, ME |
2019-11-15
10:10 |
Kumamoto |
Sojo University, Main Campus |
Analysis of Learning Japanese Sign Languages Strategies for Novices using a Gaze Measurement
Sho Inooka (SIT), Ken Tsutsuguchi (Sojo Univ.), Shunichi Yonemura (SIT) |
Most novices at sign languages learn them in schools or on television. In particular, sign language classrooms, illustra... [more] |
ME2019-127
pp.47-52 |
| IEICE-IE, IEICE-EMM, IEICE-LOIS, IEE-CMN, 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.) |
In this paper, we propose a novel watermarking method against print-cam attack.
Digital watermarking is used to get inf... [more] |
|
| IEICE-SIS, IPSJ-AVM, 3DMT [detail] |
2019-06-13
13:55 |
Nagasaki |
Fukue Culture Center |
Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network
Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) |
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more] |
|
| 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 |
| 3DMT, HI |
2019-03-08
15:00 |
Tokyo |
Kogakuin Univ. Tokyo Urban Tech Tower Campus |
Development of Projector-based Learning System with Single Sheet Recognition
Mami Umezono, Masato Nakajima, Shoji Yamamoto (May be TMCIT.) |
We have developed a learning support system by using projector and depth camera. This system has a possibility of record... [more] |
HI2019-59 3DIT2019-11
pp.41-44 |
| 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 |
| HI, VRPSY |
2018-12-14
16:15 |
Fukuoka |
Kokura Campus, Univ. Kitakyushu |
Perceptual learning on emotion recognition of side face
Moeka Nakajima, Katsunori Okajima (Yokohama National Univ.) |
It is more difficult and less-accurate to estimate the emotion of a person when viewing his/her face from a side than wh... [more] |
HI2018-66
pp.23-24 |
| AIT, IIEEJ, AS, CG-ARTS |
2018-03-16
10:45 |
Tokyo |
Tokyo University of Technology |
A VR haunted house changing the scale of horror according to player's heart rate
Hongyu Wang, Masahiro Ura, Kazunori Miyata (JAIST) |
When people feel nervous, the brain produces something that makes people feel happy in order to relieve tension and main... [more] |
AIT2018-73
pp.115-118 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16
10:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Use of Generative Adversarial Networks for Gastritis Classification from Gastric X-ray Images
Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents potential of gastritis images generated by generative adversarial networks (GANs) for gastritis clas... [more] |
MMS2018-31 HI2018-31 ME2018-31 AIT2018-31
pp.299-303 |
| IST, ME, IEICE-BioX [detail] |
2016-06-21
11:10 |
Ishikawa |
Ishikawa-Shiko-Kinen-Bunka-Kouryukan |
Input Motion Discrimination Using Time-series Optical Flows for AR Typing Interface for Mobile Devices
Masae Okada (JWU), Masakazu Higuchi, Takashi Komuro (Saitama Univ.), Kayo Ogawa (JWU) |
Mobile devices with a small touch screen have a difficulty on entering characters. As the solution, AR Typing Interface ... [more] |
IST2016-35 ME2016-80
pp.51-55 |
| ME |
2016-02-20
13:30 |
Kanagawa |
Kanto Gakuin Univ. |
Computerized facial caricature modeled on the drawing style and emphasis technique by caricaturist
Kohei Hayashi, Tomoaki Nakamura, Masahide Kaneko (UEC) |
In this paper we aim to apply the drawing methods of caricature artist to the synthesis of facial caricatures by compute... [more] |
ME2016-15
pp.57-60 |
| AIT, IIEEJ, AS |
2013-03-15
16:50 |
Kanagawa |
Keio Univ. |
An Experience Learning System of Security Incidents with NUI
Ryohei Tsuruoka, Mitsunori Makino (Chuo Univ.) |
In this paper, We proposed a system which is possible to experience virtual security incidents first response. The propo... [more] |
AIT2013-108
pp.239-242 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-18
15:20 |
Hokkaido |
Hokkaido Univ. |
Consideration of Perceptual Segmentation Algorithm for Natural Color Images
Naoya Ishikura, Takehito Tani, Junji Maeda (Muroran IT) |
Image segmentation is a useful preprocessing in image recognition. The purpose of this paper is to develop
the perceptu... [more] |
|
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-19
11:20 |
Hokkaido |
Hokkaido Univ. |
Face Recognition using Expression-Images Generated by Active Appearance Model
Ryosuke Oda, Gou Koutaki, Keiichi Uchimura, Yuichi Hirado, Tsuyoshi Makioka (Kumamoto Univ.), Takami Satonaka (Kumamoto-PCT) |
On face recognition, face expression is also a fatal issue, not only lighting and pose. In this paper, we attempt to imp... [more] |
HI2013-18 ME2013-46 AIT2013-18
pp.121-124 |
| ME, IEICE-BioX |
2012-12-11
13:00 |
Saitama |
Saitama Inst. of Tech. |
Improvement of ear recognition system based on a morphological classification of ear shape
Yuki Iwakami, Daishi Watabe, Hideyasu Sai, Takanari Minamidani, Katsuhiro Sakai (SIT) |
We identify the ear shape that is easy to individualize from the viewpoint of statistics of the morphological classifica... [more] |
ME2012-128
pp.1-4 |