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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] 2022-02-22
16:45
Online online A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a note on accurate distress classification using deep learning considering confidence in attention m... [more] MMS2022-33 ME2022-58 AIT2022-33
pp.371-376
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] 2021-02-18
13:00
Online Online A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on EfficientNet with Flooding Loss
Guang Li, Ren Togo (Hokkaido Univ.), Katsuhiro Mabe (Junpukai Health Maintenance Center), Shunpei Nishida (Olympus), Yoshihiro Tomoda, Hikari Shimizu (Olympus Medical Systems), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a method for automatically diagnosing Helicobacter pylori (H. pylori) infection based on EfficientNe... [more] MMS2021-5 ME2021-5 AIT2021-5
pp.23-26
IST 2020-07-01
14:30
Online Online Adaptive exposure-time control based on image entropy for multiple-exposure-time image sensor
Kurumi Kataoka, Yusuke Kameda, Takayuki Hamamoto (TUS)
We propose an adaptive exposure time control method for image sensors that can control exposure time for each pixel in o... [more] IST2020-36
pp.13-18
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] 2018-02-15
16:00
Hokkaido Hokkaido Univ. Image conversion methods from UHDTV images assuming mobile viewing environments
Nobuhide Matsuo (UEC), Kazuteru Komine (NHK)
With the start of 8K broadcasting services in December 2018, it will be demanded to develop an image conversion method f... [more] MMS2018-1 HI2018-1 ME2018-1 AIT2018-1
pp.89-92
ME, IST 2012-06-11
16:00
Ishikawa Kanazawa Univ. Quantification of blurred image
Hiroyuki Hase (Fukui univ.)
Human visual sense has two aspects in our feeling for blurred image, that is, one is the amount of blur depending on obj... [more] IST2012-34 ME2012-85
pp.21-24
 Results 1 - 5 of 5  /   
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