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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 14:48 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Pathological image features for prediction of disease progression of lung cancer patients who received radiation therapy Jin Yu, Hidetaka Arimura, Takeshi Iwasaki, Takumi Kodama, Cui YunHao, Yoshinao Oda (Kyushu Uni.)  MI2023-83 |
Radiation therapy is one of treatment options for lung cancer patients with early and late stages. Since the disease pro... [more] | MI2023-83 pp.166-168 |
| PRMU | 2022-12-16 10:15 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Pose-aware Disentangled Multiscale Transformer for Pose Guided Person Image Generation Kei Shibasaki, Masaaki Ikehara (Keio Univ.) PRMU2022-44 |
Pose Guided Person Image Generation (PGPIG) is the task that transforms the pose of a person image from the source image... [more] | PRMU2022-44 pp.63-69 |
| PRMU | 2020-12-17 10:15 |
Online | Online | Synthesize talking anime-heads images by tunneling through human-heads domain Shun Fujiuchi, Ryo Hachiuma, Kunihiro Hasegawa, Hideo Saito (Keio Univ.) PRMU2020-39 |
Avatars are widely used on the Internet to establish non-verbal communication without exposing one's physical identity. ... [more] | PRMU2020-39 pp.7-11 |
| PRMU | 2020-10-09 13:15 |
Online | Online | Video retrieval based on the similarity of human poses Noboru Yoshida, Yadong Pan, Ryo Kawai, Jianquan Liu, Shoji Nishimura (NEC) PRMU2020-24 |
In this paper, we propose new feature which can measure the distance between different poses. The feature is based on th... [more] | PRMU2020-24 pp.32-37 |
| MI | 2020-01-30 11:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN | High precision metal artifacts reduction in X-ray CT images by Deep Image Prior and sinogram normalization Hiroya Satake, Tatsuya Yokota (NIT), Yoshito Otake, Yoshinobu Sato (NAIST), Hidekata Hontani (NIT) MI2019-103 |
In this paper, we propose a method to improve the normalization accuracy of sinogram by using DeepImage Prior to remove ... [more] | MI2019-103 pp.169-174 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 13:00 |
Okinawa | Okinawa Institute of Science and Technology | Reliability Assessment by Bayesian Deep Learning for Image-Caption Retrieval Task Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-1 |
Following the development of black-box machine learning algorithms, the practical demand of the re- liability assessment... [more] | IBISML2019-1 pp.1-8 |
| IBISML | 2017-11-09 13:00 |
Tokyo | Univ. of Tokyo | Calculation method for grid-structured markov random field using corner transfer matrix renormalization group Tomoharu Yoshida, Kazuho Watanabe, Kyoji Umemura (Toyohashi Univ. of Tech.) IBISML2017-37 |
Calculating the marginal distribution of the grid-structured markov random field model in probabilistic image processing... [more] | IBISML2017-37 pp.15-22 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Performance comparison of natural image priors by using exchange Monte Carlo method Atsuki Matsuo, Toru Otagaki, Masato Inoue (Waseda Univ.) IBISML2016-72 |
Image processing using Bayesian framework generally needs to assume a image prior. However, there are no explicit criter... [more] | IBISML2016-72 pp.185-189 |
| PRMU, SP, WIT, ASJ-H | 2016-06-13 09:30 |
Tokyo | Image recognition based on discriminative models using features generated from separable lattice HMMs Yoshinari Tsuzuki, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2016-36 SP2016-2 WIT2016-2 |
One of the major problems in image recognition is degradation in the recognition performance caused by geometric variati... [more] | PRMU2016-36 SP2016-2 WIT2016-2 pp.7-12 |
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| VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2014-11-26 17:05 |
Oita | B-ConPlaza | Visual-Word Feature Transformation Architecture for Computer-Aided Diagnosis using Colorectal Endoscopic Images with NBI Magnification Koki Sugi, Tetsushi Koide, Anh-Tuan Hoang, Takumi Okamoto, Tatsuya Shimizu, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) VLD2014-77 DC2014-31 |
With the increase of colorectal cancer patients in recent years, the computer-aided diagnosis (CAD) system which support... [more] | VLD2014-77 DC2014-31 pp.33-38 |
| SIS | 2014-03-06 14:55 |
Osaka | Gran Front Osaka, Knowledge Capital C-9F, 901 | Resolution Enhancement of Satellite Image with Preservation of Spectral Information Hidenobu Hashikami (RICOH) SIS2013-64 |
This report proposes an image fusion method of advanced land observing satellite. By spectral normalization, the method ... [more] | SIS2013-64 pp.47-50 |
| MI | 2014-01-26 16:05 |
Okinawa | Bunka Tenbusu Kan | Registration of Organs for Partial Medical Images Using Anatomical Landmarks Yoshiki Kamiya, Naoki Kawamura, Hidekata Hontani (Nagoya Inst. of Tech.) MI2013-85 |
In this manuscript, the authors report about a method that registers a statistical shape model of a target organ to gi... [more] |
MI2013-85 pp.161-164 |
| SP | 2013-11-22 14:00 |
Nara | Nara Institute of Science and Technology | Normalization and matching routine for comparing first and second language tongue trajectories Shusuke Moriya, Yuichi Yaguchi, Naoki Terunuma, Takahiro Sato, Ian Wilson (Aizu Univ.) SP2013-80 |
The main purpose of this research is specifying the articulation difference between L1 and L2 speakers by digitizing ton... [more] | SP2013-80 pp.53-57 |
| LOIS | 2013-03-08 14:20 |
Okinawa | Normalization technique for meal pictures using feature points of the tablecloth Katsuyoshi Tanabe, Shogo Sawada (Meio Univ.) LOIS2012-101 |
Good meal balance is important for health. But it is difficult to always eat a balanced meal. In this research, the tech... [more] | LOIS2012-101 pp.185-190 |
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| MI | 2013-01-24 16:35 |
Okinawa | Bunka Tenbusu Kan | A Study on Multiple Organ Segmentation from 3D CT Images Based on Normalization Method and Patient-Specific Probabilistic Map Chengwen Chu, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Michitaka Fujiwara, Yuichiro Hayashi, Kensaku Mori (Nagoya Univ.) MI2012-89 |
Organ segmentation from 3D abdominal CT database is a difficult process due to the large differences among patients in o... [more] | MI2012-89 pp.139-144 |
| NC | 2012-10-04 10:20 |
Fukuoka | Kyushu Institute of Technology (Wakamatsu Campus) | Comparison of Normalization Methods for Image Features Employed in Human Detection by Shape-Based Features Shohei Iwamoto, Akitoshi Hanazawa (KIT) NC2012-36 |
In this paper, we compare the efficiency of normalization process for HOG features. HOG feature is one of shape-based fe... [more] | NC2012-36 pp.1-6 |
| ISEC, IT, WBS | 2011-03-04 15:20 |
Osaka | Osaka University | Robust image hashing against geometric attacks using image normalization and SVD decomposition Ricardo Antonio Parrao Hernandez (IPN-MEX), Brian M. Kurkoski (Univ. of Electro-Comm.), Mariko Nakano Miyatake (IPN-MEX) IT2010-102 ISEC2010-106 WBS2010-81 |
This paper uses SVD decomposition and image normalization algorithm to generate a hash value of a digital image. SVD dec... [more] | IT2010-102 ISEC2010-106 WBS2010-81 pp.221-226 |
| MI | 2011-01-20 11:30 |
Okinawa | Naha-Bunka-Tembusu | Brain Shape Normalization in Neonatal MR Images Aya Hashioka (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/ WPI-IFReC), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/ WPI-IFReC) MI2010-103 |
In order to diagnose the cerebral diseases in the early stage, diagnosing method for neonatal brain must be studied. Vox... [more] | MI2010-103 pp.115-120 |
| NC, MBE [detail] | 2010-12-19 13:30 |
Aichi | Nagoya Univ. | A Hierarchal Features Realization Method by Self-Organizing Map Shuta Saito, Masahiro Ariizumi, Hakaru Tamukoh, Masatoshi Sekine (Tokyo Univ. of Agr and Tech) MBE2010-72 NC2010-83 |
In this paper, we propose a tree structured SOM to learn a base vector to express the feature of the image hierarchicall... [more] | MBE2010-72 NC2010-83 pp.97-102 |
| PRMU, FM | 2010-12-10 11:40 |
Yamaguchi | An Image Recognition System by Tree Structured SOM with Feature Learning Function Masahiro Ariizumi, Shuta Saito, Hakaru Tamukoh, Masatoshi Sekine (TUAT) PRMU2010-143 |
In this paper, we describe an image recognition system combining a tree structured Self Organizing Map(SOM) for feature ... [more] | PRMU2010-143 pp.97-102 |
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