Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
EMM |
2022-01-27 13:25 |
Online |
Online |
Access Control Using Feature Map Transformation With Secret Key for Object Detection Models Teru Nagamori, Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-85 |
In this paper, we propose an access control method for object detection models.
The use of transformed images or transf... [more] |
EMM2021-85 pp.7-12 |
AP |
2020-12-17 13:50 |
Online |
Online |
A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98 |
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] |
AP2020-98 pp.13-17 |
MI |
2016-01-20 13:50 |
Okinawa |
Bunka Tenbusu Kan |
Tissue Volume Model Mapping onto Target Volume Based on modified Self-organizing Deformable Model Shoko Miyauchi, Ken'ichi Morooka, Tokuo Tsuji (Kyushu Univ.), Yasushi Miyagi (Kaizuka hosp.), Takaichi Fukuda (Kumamoto Univ.), Ryo Kurazume (Kyushu Univ.) MI2015-135 |
This paper proposes a new method for mapping volume models of human tissues onto a target volume with simple shape. The ... [more] |
MI2015-135 pp.305-308 |
PRMU |
2014-03-14 10:45 |
Tokyo |
|
Evaluation of image local features for the improvement of face tracking accuracy Shogo Kawai, Maiya Hori, Hiroki Yoshimura, Yoshio Iwai (Tottori Univ.) PRMU2013-201 |
We present local feature evaluation for a constrained local model (CLM) framework.
We target facial images captured by ... [more] |
PRMU2013-201 pp.197-202 |
PRMU, CNR |
2014-02-13 16:10 |
Fukuoka |
|
[Poster Presentation]
Pedestrian Detection by Channel Features based on Context Yohei Takayanagi, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2013-144 CNR2013-52 |
In this paper, we propose the method of pedestrian detection based on context model between pedestrians and background.
... [more] |
PRMU2013-144 CNR2013-52 pp.103-104 |
SP, IPSJ-SLP |
2013-12-19 16:00 |
Tokyo |
|
Improvement of AF-based Voice Conversion for Arbitrary Speakers Narpendyah Wisjnu Ariwardhani (TUT), Yurie Iribe (Aichi Prefectureal Univ.), Kouichi Katsurada (TUT), Tsuneo Nitta (Waseda Univ.) SP2013-85 |
In this paper, we use artificial neural networks (ANNs) for articulatory feature (AF) based voice conversion. ANNs are a... [more] |
SP2013-85 pp.65-70 |
MVE, HI-SIG-VR |
2011-10-14 13:25 |
Hokkaido |
|
A 3D Reconstruction Method Using Tetrahedron Carving for AR Diorama System Hiroyuki Yasuhara, Tomohiro Mashita, Kiyoshi Kiyokawa, Haruo Takemura (Osaka Univ.) MVE2011-48 |
Recently, augmented reality (AR) technologies, which overlay computer generated information onto the real world, have be... [more] |
MVE2011-48 pp.91-96 |
PRMU, MVE, IPSJ-CVIM [detail] |
2011-01-21 10:25 |
Shiga |
|
Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features Masashi Wakayama, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Yukimasa Tamatsu (DENSO) PRMU2010-179 MVE2010-104 |
This paper proposes a method to quantify the visibility of pedestrians using in-vehicle camera. Since many driver assist... [more] |
PRMU2010-179 MVE2010-104 pp.253-258 |
ITE-AIT, IE, ITE-HI, ITE-ME, ITS |
2010-02-15 13:50 |
Hokkaido |
Graduate School of Information and Technology, Hokkaido Univ. |
Automatic Detection of Human Beings in an Image by Using Feature Map Hiroki Takiguchi, Junji Maeda (Muroran Inst. of Tech.) ITS2009-54 IE2009-148 |
The purpose of this paper is the automatic detection of human beings in a static image. We propose the method of human d... [more] |
ITS2009-54 IE2009-148 pp.101-106 |
ET |
2009-12-11 10:05 |
Okinawa |
Univ. of the Ryukyus |
Construction of the penmanship learning support system
-- Examination about the features extraction and mapping during model character and handwriting character -- Takuya Sawamoto, Noriaki Muranaka, Masataka Tokumaru (Kansai Univ.), Shigeru Imanishi (Kobe Inst. of Computing/Coll. of Information Tech.) ET2009-66 |
The purpose of this system is to reproduce the environment of the penmanship classroom in the home. Therefore, we sugges... [more] |
ET2009-66 pp.89-94 |
IE, ITS, ITE-HI, ITE-ME, ITE-AIT |
2009-02-05 15:20 |
Hokkaido |
Graduate School of Information Science and Technology Hokkaido Univ |
Automatic Detection of Perceptually Salient Objects or Human Beings in an Image Mineki Takaya, Hiroki Takiguchi, Junji Maeda (Muroran Inst. of Tech.) ITS2008-75 IE2008-245 |
In the early process of the human vision,
it is known that people pay preferential attention to salient objects.
Man... [more] |
ITS2008-75 IE2008-245 pp.233-238 |
SP, NLC |
2008-12-10 16:10 |
Tokyo |
Waseda Univ. |
Articulatory feature extraction based on 3-stage MLNs and Inhibition/Enhancement Network Mohammad Nurul Huda, Hiroaki Kawashima, Tsuneo Nitta (Toyohashi Univ. of Tech.) NLC2008-49 SP2008-104 |
This paper describes an articulatory feature extractor for accurate phoneme recognition. The proposed method comprises t... [more] |
NLC2008-49 SP2008-104 pp.149-154 |
NC |
2008-07-15 13:10 |
Kyoto |
Kyoto Univ. (Yoshida campus) |
Possible inhibitory interaction between feature maps in visual search selection Yuta Senzai, Tadashi Ogawa (Kyoto Univ.) NC2008-32 |
An object differing from its surrounding objects in basic feature dimensions is salient and automatically draws our atte... [more] |
NC2008-32 pp.1-6 |
ITE-HI, ITE-AIT, ITE-ME, IE, ITS |
2008-02-19 11:15 |
Hokkaido |
Graduate School of Information Science and Technology Hokkaido Univ |
Automatic Identification of Perceptually Salient Objects in an Image by Combining Visual Attention Models Masaya Kato, Mineki Takaya, Junji Maeda (Muroran IT) ITS2007-68 IE2007-251 |
In the early process of the human vision, it is known that people pay preferential attention to salient objects that hav... [more] |
ITS2007-68 IE2007-251 pp.33-38 |
MI |
2007-01-26 16:50 |
Overseas |
the Cheju National Univ. |
Automatic Extraction of Facial Feature points from Orthogonal Color Images for Surgical Planning M. Shamsi (Univ. of Tehran/Univ. of the Ryukyus), R. A. Zoroofi, Caro Lucas, M. Sadeghi Hasanabadi (Univ. of Tehran), M. R. Asharif (Univ. of Ryukyus) |
Recent advances in digital human technology combined with the broad availability of high performance computer graphics h... [more] |
MI2006-127 pp.165-168 |
PRMU, TL |
2006-02-24 09:30 |
Ibaraki |
|
Fast Learning Approach Using Self Organizing Map Alaa Sagheer (Kyushu University), Naoyuki Tsuruta (Fukuoka University), Rin-Ichiro Taniguchi, Daisaku Arita (Kyushu University), Sakashi Maeda (Fukuoka University) |
The authors previously presented a speech recognition system exploiting the normal Self Organizing Map (SOM) as a featur... [more] |
TL2005-71 PRMU2005-206 pp.25-30 |
PRMU, TL |
2006-02-24 15:30 |
Ibaraki |
|
The Stochastic Modeling of Pen-Coordinate Information by Structured Character Pattern Representation based HMM for On-line Japanese Handwriting Recognition Junko Tokuno, Yang Yiping, Gleidson Pegoretti da Silva, Akihito Kitadai, Masaki Nakagawa (TUAT) |
This paper describes stochastic modeling of pen-coordinate information in HMMs with structured character pattern represe... [more] |
TL2005-87 PRMU2005-222 pp.117-122 |
MI |
2006-01-27 13:00 |
Okinawa |
Miyakojimashi-Chuo-Kouminkan |
Construction of Feature Map Model for Organs Considering Positions and Interdependency of Features Hotaka Takizawa, Tsuyoshi Shiina (Univ. of Tsukuba), Shinji Yamamoto (Chukyo Univ.) |
Feature values found in a local part of an organ depend on both their positions in an image and feature values in the ot... [more] |
MI2005-81 pp.61-64 |