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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 832 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP 2023-11-28
10:50
Okinawa Nago city commerce and industry association Investigation of differences in latent variable space for different datasets in Sentence-BERT's image generation model
Masato Izumi, Kenya Jin'no (Tokyo City Univ.) NLP2023-61
We have verified the degree to which sentence vectors, which are distributed representations of sentences generated by S... [more] NLP2023-61
pp.11-14
CQ, MIKA
(Joint)
(2nd)
2023-08-31
10:50
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] Extraction of rotation angle of wood lattice frames by template matching
Koudai Kawasaki, Toshiya Arakawa (NIT), Nicolas Giron (Nikken Sekkei), Hideyuki Nasu (NIT)
We have developed a lattice frame structure and put it to practical use. In the development process, we have conducted j... [more]
SANE 2023-08-18
15:40
Hokkaido  
(Primary: On-site, Secondary: Online)
Basic Study for Assist and Automation of PAPI Inspection by Drone using Machine Learning
Atsushi Kezuka, Munehiko Takashima, Junichi Honda (ENRI) SANE2023-46
PAPI (Precision Approach Path Indicator) is a lighting system composed of four lights and installed beside a runway to i... [more] SANE2023-46
pp.70-73
CCS, IN
(Joint)
2023-08-03
10:51
Hokkaido Banya-no-yu Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network
Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2023-19
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models.
In th... [more]
CCS2023-19
pp.13-18
AP, SANE, SAT
(Joint)
2023-07-12
09:50
Hokkaido The Citizen Activity Center
(Primary: On-site, Secondary: Online)
A Universal Method of Dataset Building for SAR Image Land-use Land-cover Classification and the Evaluation
Jing-Yuan Wang, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2023-21
Because the awesome characteristics are shown by SAR, the images are widely used in remote sensing fields and various ap... [more] SANE2023-21
pp.1-6
MI 2023-07-03
13:00
Miyagi Tohoku Univ. Sakura Hall [Special Talk] Transition of Medical Imaging
Koichi Ito (Tohoku Univ.) MI2023-10
Over the past decade, research in medical image processing has dramatically changed. In particular, feature extraction u... [more] MI2023-10
p.11
EA, ASJ-H, ASJ-MA, ASJ-SP 2023-07-02
15:10
Hokkaido   Speech Restoration of Spectrogram Images Printed in a Document "Visible Speech" Published in 1947
Naofumi Aoki (Hokkaido Univ.) EA2023-6
The restoration of speech materials recorded in the past might be regarded as a study in acoustical archeology. It may p... [more] EA2023-6
pp.12-15
EMD 2023-06-30
14:45
Hokkaido Chitose Arcadia Plaza Analysis of pattern changes in an output light spot from an optical fiber with a PIV method (II)
Takato Chiba, Makoto Hasegawa (Chitose Inst. of Science and Technology) EMD2023-5
When a disturbance is applied onto an optical multi-mode fiber, speckle pattern is often observed in an output light spo... [more] EMD2023-5
pp.22-27
SIS, IPSJ-AVM [detail] 2023-06-15
13:00
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
A Proposal of Hue Preserving Unsharp Masking Without Gamut Problem
Mashiho Mukaida, Noriaki Suetake (Yamaguchi Univ.) SIS2023-4
Unsharp masking is a common method of image sharpening. If unsharp masking is applied to each RGB component of a color i... [more] SIS2023-4
pp.19-24
SIS, IPSJ-AVM [detail] 2023-06-15
13:20
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
A Proposal of Color-Correction Method for Color-Distortion Occurring in the Acquisition and Fusion of Multi-Exposure Image
Seiichi Kojima, Noriaki Suetake (Yamaguchi Univ.) SIS2023-5
A multi-exposure image is a set of multiple images taken under different exposure conditions. In exposure fusion, a hig... [more] SIS2023-5
pp.25-30
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-19
15:00
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Study on Improving the Accuracy of the Growth Determination System Using AI
Kotaro Mitani, Tomoyuki Yokogawa, Kazutami Arimoto (Okayama Prefectural Univ) SeMI2023-17
Previously, a pineapple growth information determination system was developed using SSD for footage and images taken by ... [more] SeMI2023-17
pp.76-81
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
15:10
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
[Short Paper] Imagining body movements promote convergent thinking
Kairi Sugimoto, Katsumi Watanabe (Waseda Univ.) IMQ2022-42 IE2022-119 MVE2022-72
Creativity is known to be influenced by body movement. In this study, we examined the effects of observing and imagining... [more] IMQ2022-42 IE2022-119 MVE2022-72
pp.125-126
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
14:25
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Pear flower pollination path estimation using deep learning and combinatorial optimization
Keita Endo (NIT), Tomotaka Kimura (Doshisha Univ.), Hiroyuki Shimizu (NIT), Tomohito Shimada, Akane Shibasaki (SATRC), Yoshihiro Takemura (Tottori Univ.), Takefumi Hiraguri (NIT) CQ2022-95
Since fruit trees are grown outdoors, they require heavy and long hours working. In among fruit trees, pears needs artif... [more] CQ2022-95
pp.74-77
NC, MBE
(Joint)
2023-03-14
16:15
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Detection of eye blink features : a comparison of using eyelid shape and electrooculogram
Yuya Suzuki, Shin'ichiro Kanoh (SIT) MBE2022-66
Eye blink is an important source for detecting the mental state such as emotion and arousal level. Features of eye blink... [more] MBE2022-66
pp.38-42
MI 2023-03-06
09:18
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning
Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba) MI2022-73
The diagnosis of cognitive impairment can be performed using functional imaging techniques such as PET and SPECT, which ... [more] MI2022-73
pp.3-4
MI 2023-03-06
16:00
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion
Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.) MI2022-92
Multiphase CT images are commonly used for the diagnosis of renal cancer. In this paper, we propose a machine learning s... [more] MI2022-92
pp.94-99
MI 2023-03-06
17:04
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Rotation-Equivariant CNN for Medical Image Processing Applications
Ryota Ogino, Kugler Mauricio, Tatsuya Yokota, Hidekata Hontani (NITech) MI2022-96
In this study, we report an attempt to use a Rotation-Equivariant CNN to organize image data whose rotation direction an... [more] MI2022-96
pp.113-114
MI 2023-03-07
16:13
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Classification of endoscope images with specular reflection using CNN
Shun Katsuyama, Masashi Fujii (Tottori Univ.), Kazutake Uehara (Yonago Coll.), Masaru Ueki, Hajime Isomoto, Katsuya Kondo (Tottori Univ.) MI2022-123
The endoscopic training system is required that checks whether the inspection points have been taken. In this report, we... [more] MI2022-123
pp.199-204
EMD 2023-03-03
14:25
Saitama NIT and Online
(Primary: On-site, Secondary: Online)
Analysis of pattern changes in an output light spot from an optical fiber with a PIV method
Takato Chiba, Makoto Hasegawa (Chitose Inst. of Science and Technology) EMD2022-25
Disturbances-imposed changes in speckle pattern to be observed in an output light spot from an optical fiber were
capt... [more]
EMD2022-25
pp.25-30
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
11:05
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
On the Effectiveness of Formula-Driven Supervised Learning for Medical Image Tasks
Ryuto Endo, Shuya Takahashi, Eisaku Maeda (TDU) PRMU2022-71 IBISML2022-78
Deep learning for image information processing often uses manually maintained natural image data. However, these data ha... [more] PRMU2022-71 IBISML2022-78
pp.71-75
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