Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, CNR |
2015-02-20 09:00 |
Miyagi |
|
An Examination of Semantic Segmentation by Using Characteristics Information of Categories
-- by Using Object Detection, Object Recognition and Foreground-Background Information -- Shota Terui, Kazunori Kojima, Yoshiaki Itoh, Masaaki Ishigame (IPU) PRMU2014-138 CNR2014-53 |
The purpose of this study is to recognize the category of existing objects in an image per pixel. Candidate region of ob... [more] |
PRMU2014-138 CNR2014-53 pp.119-124 |
MBE |
2015-01-22 15:15 |
Kumamoto |
Kumamoto University |
Neuronal population responses to 3D objects in the posterior part of inferotemporal cortex Shintaro Saruwatari, Jun-ya Okamura, Reona Yamaguchi, Jin Oshima, Misaki Yoshimitsu, Gang Wang (Kagoshima Univ.) MBE2014-102 |
Discrimination experience of similar objects at the same viewing angles develops viewing angle tolerance in the neurons ... [more] |
MBE2014-102 pp.43-46 |
NC, MBE (Joint) |
2014-03-17 15:40 |
Tokyo |
Tamagawa University |
Temporal relationship between object category representation and the level of category abstraction in the human visual cortex Masashi Sato, Yoichi Miyawaki (UEC) NC2013-128 |
Object categories can be hierarchically ordered from abstract to concrete levels. Previous studies showed that the corre... [more] |
NC2013-128 pp.227-232 |
PRMU, IPSJ-CVIM, MVE [detail] |
2014-01-24 10:10 |
Osaka |
|
Object recognition by the selection of visual words according to each category using frequency histograms Tatsunori Tomura, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) PRMU2013-112 MVE2013-53 |
The general object recognition is a task that enables a computer to recognize an object and scene in images. In this pap... [more] |
PRMU2013-112 MVE2013-53 pp.195-200 |
IBISML |
2012-11-08 15:00 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Auto-Colorization of Monochrome Images using Object Recognition and Markov Random Field Hitoshi Matsuo, Takaki Makino (Univ. Tokyo) IBISML2012-83 |
We introduce a new auto-colorization method which appends color information to a monochrome picture based on a training ... [more] |
IBISML2012-83 pp.351-358 |
NLP |
2011-07-01 13:20 |
Hokkaido |
Shari-cho Kohminkan: Yme-hall Shiretoko |
Analysis of Psychiatrist's Subconsciousness based on Decision Tree Learning Hiroshi Yamamoto, Mamoru Tanaka (Sophia Univ.) NLP2011-42 |
There is a psychological illness called Schizophrenia. We do not have any clear diagnostic materials. Therefore the doct... [more] |
NLP2011-42 pp.101-105 |
PRMU, IE, MI |
2010-05-14 14:45 |
Aichi |
Chubu Univ. |
An Analysis of the Impact of a Training Dataset Expansion for Generic Object Recognition Takumi Toyama, Koichi Kise (Osaka Prefecture Univ.) IE2010-40 PRMU2010-28 MI2010-28 |
In the field of pattern recognition, it is well known that the contents of a training dataset affects the recognition pe... [more] |
IE2010-40 PRMU2010-28 MI2010-28 pp.145-150 |
PRMU |
2009-11-27 15:10 |
Ishikawa |
Ishikawa Industrial Promotion Center |
Coarse to Fine Approach for Object Category Detection using Appearance of Local Features Takuya Minagawa, Hideo Saito (Keio Univ) PRMU2009-129 |
Sliding window is the most popular approach to detect position of an object in an image. However it is well known that p... [more] |
PRMU2009-129 pp.259-264 |
PRMU |
2009-08-31 17:25 |
Miyagi |
Tohoku Univ. |
A Method for Constructing a High-Accuracy Classifier Using Divide and Conquer Strategy Based on Boosting Masamitsu Tsuchiya, Hironobu Fujiyoshi (Chubu Univ) PRMU2009-66 |
Detecting objects like faces and people requires that objects of the same category but of many different poses be detect... [more] |
PRMU2009-66 pp.81-86 |
PRMU, IE |
2008-03-11 11:00 |
Ishikawa |
|
() IE2007-319 PRMU2007-303 |
Certain objects that appear in images from the real world often appear together, while other sets of objects rarely appe... [more] |
IE2007-319 PRMU2007-303 pp.363-370 |
PRMU |
2006-09-08 17:40 |
Fukuoka |
|
Keiji Yanai (UEC) |
"Generic object recognition" aims at enabling a computer to recognize objects in images with their category name... [more] |
PRMU2006-76 pp.121-134 |