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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 511 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
WIT 2023-06-16
15:50
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Developing a Finger-Dexterity Measuring System Integrating Image Recognition and Touch Panel Operation
Yuki Kashihara, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) WIT2023-5
Dementia has become a significant problem in modern Japanese society. In diagnosing and rehabilitating dementia, it is i... [more] WIT2023-5
pp.24-29
MBE, IEE-MBE 2023-06-16
14:10
Hokkaido Hokkaido University
(Primary: On-site, Secondary: Online)
Development of an Extra-corporeal circuit Assembly Support System Using Image Recognition
Hisashi Miyazaki (Nippon Bunri Univ.), Takayuki Torigoe, Isao Kayano (Kawasaki Univ. of Medical Welfare) MBE2023-9
In this research, we developed a system that automatically displays an assembly manual for an artificial heart-lung mach... [more] MBE2023-9
p.3
MI 2023-05-18
14:00
Aichi Nagoya Congress Center [Invited Talk] Tensor Expression for Image Pattern Analysis
Hayato Itoh (Nagoya Univ.) MI2023-2
Algorithms for discrete images realise the analysis of patterns in images, i.e., image pattern analysis. To design an al... [more] MI2023-2
pp.2-3
BioX, SIP, IE, ITE-IST, ITE-ME [detail] 2023-05-19
14:30
Mie Sansui Hall, Mie University
(Primary: On-site, Secondary: Online)
Study of finger-vein images improvement for noncontact finger vein recognition
Kazuya Nakano (Seikei Univ.), Masahiro Ishikawa (Saitama Medical Univ.), Hiroyuki Suzuki (Gunma Univ.) SIP2023-16 BioX2023-16 IE2023-16
Currently, we are studying noncontact authentication of finger vein. However, the light other than near infrared light f... [more] SIP2023-16 BioX2023-16 IE2023-16
pp.74-76
NLP, MSS 2023-03-17
16:05
Nagasaki
(Primary: On-site, Secondary: Online)
Lightweighting Noisy Student Semi-Supervised Learning by Applying MobileNet
Yuga Morishima, Hidehiro Nakano (Tokyo City Univ.) MSS2022-108 NLP2022-153
Recently, Convolutional Neural Networks (CNNs) have attracted much attention in various fields such as image classificat... [more] MSS2022-108 NLP2022-153
pp.220-224
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
15:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Iris Image Quality Assessment with Degradation Scores for Recognition
Ryuichi Akashi, Yuho Shoji, Takahiro Toizumi, Atsushi Ito (NEC) IMQ2022-57 IE2022-134 MVE2022-87
In this paper, we propose an iris image quality assessment method to quantify the influence of each type of image degrad... [more] IMQ2022-57 IE2022-134 MVE2022-87
pp.182-187
NC, MBE
(Joint)
2023-03-14
14:45
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Feature Extraction of Grasped Objects for Precise Robot Hand Control using Depth Image
Satoshi Katayama, Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2022-105
In recent years, development of robots to support people has been promoted. To control a multi-fingered hand robot for e... [more] NC2022-105
pp.78-83
MI 2023-03-06
13:15
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] MI2022-80
pp.38-39
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
09:20
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Relation Between Shape/Texture Biases and Double-Descent Phenomenon in Visual Recognition
Shuya Takahashi (Tokyo Denki Univ./AIST), Nakamasa Inoue, Rio Yokota (Tokyo Tech), Hirokatsu Kataoka (AIST), Eisaku Maeda (Tokyo Denki Univ.) PRMU2022-60 IBISML2022-67
Under certain conditions, the learning performance of machine learning undergoes a strange phenomenon called double-desc... [more] PRMU2022-60 IBISML2022-67
pp.13-16
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-02
11:15
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Dynamic Weight Scheduling for Long-tailed Visual Recognition
Xinyuan Li (Ritsumeikan Univ.), Yu Wang (Hitotsubashi Univ.), Jien Kato (Ritsumeikan Univ.) PRMU2022-78 IBISML2022-85
For long-tailed image recognition tasks, re-weighting is effective to alleviate data imbalance by assigning higher weigh... [more] PRMU2022-78 IBISML2022-85
pp.107-110
CNR, BioX 2023-03-01
13:30
Oita
(Primary: On-site, Secondary: Online)
Person Authentication based on Palm Images Using CNN
Kai Ebato, Kouya Tochikubo, Mitsuhiko Meguro (Nihon Univ.) BioX2022-67 CNR2022-33
While conventional biometric authentication extracts geometric features from images, this paper proposes a personal auth... [more] BioX2022-67 CNR2022-33
pp.30-35
CNR, BioX 2023-03-01
14:15
Oita
(Primary: On-site, Secondary: Online)
[Invited Talk] A study on biometric performance evaluation using artificially generated sample images
Mitsutoshi Himaga (JAISA) BioX2022-68 CNR2022-34
In order to evaluate the accuracy of biometric systems, it is necessary to collect biometric samples from a large number... [more] BioX2022-68 CNR2022-34
pp.36-41
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
13:30
Hokkaido Hokkaido Univ. A study of the image captioning method with person names
Naotsuna Fujimori, Takahiro Mochizuki (NHK)
We have been working on image captioning techniques with the main goal of automatically generating audio description. In... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
11:15
Hokkaido Hokkaido Univ. Evaluation Metrics Using Object Detection for Visible and Infrared Image Fusion
Jihun Kang, Daichi Horita, Kiyoharu Aizawa (UTokyo) ITS2022-64 IE2022-81
We propose a new evaluation measure for the fusion images between visible and infrared images using object detection foc... [more] ITS2022-64 IE2022-81
pp.124-129
IE 2023-02-02
13:30
Tokyo NII
(Primary: On-site, Secondary: Online)
Recognition Based on Imperfect Information Using Deep Learning Model -- Estimating the Number of Blocks Included in Three-Dimensional Structure --
Takuto Nakazawa, Shigeru Kubota (Yamagata Univ.) IE2022-51
Even though the visual information obtained is imperfect, we can estimate a correct answer by using a knowledge that we ... [more] IE2022-51
pp.1-5
CQ, CBE
(Joint)
2023-01-26
10:35
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
Verification of sensory change in AR space by bounce estimation using DeepLearning
Masaya Matsukawa, Koji Yamada (Ryukyu Univ) CQ2022-62
Research has been conducted to realize interaction between virtual objects and real space by recognizing objects and spa... [more] CQ2022-62
pp.6-10
ICTSSL, CAS 2023-01-26
11:15
Tokyo TBD
(Primary: On-site, Secondary: Online)
On Image Recognition Neural Networks and Polynomial Approximation of Images
Jiahang Chang, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-66 ICTSSL2022-30
In this report, we present a convolutional neural network that we have built ourselves for our research. Then, we discus... [more] CAS2022-66 ICTSSL2022-30
pp.23-27
HIP 2022-12-22
15:15
Miyagi Research Institute of Electrical Communication
(Primary: On-site, Secondary: Online)
An investigation of appearance ratio and imagery properties of aphantasia
Junichi Takahashi (Fukushima Univ.), Godai Saito (Tohoku Univ.), Kazufumi Omura (Yamagata Univ.), Daichi Yasunaga (Kanazawa Univ.), Shinichiro Sugimura (Hiroshima Univ.), Shuichi Sakamoto (Tohoku Univ.), Tomoyasu Horikawa (NTT), Jiro Gyoba (Shokei Gakuin Univ.) HIP2022-62
Aphantasia is a condition in which people with a normal perception have difficulty constructing imagery. By using an onl... [more] HIP2022-62
pp.25-30
PRMU 2022-12-15
10:30
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Single Image Raindrop Removal Using a Non-local Operator and Feature Maps in the Frequency Domain
Shinya Ezumi, Masaaki Ikehara (Keio Univ.) PRMU2022-34
High-quality raindrop removal is desired for outdoor image processing systems as well as for acquiring good-looking imag... [more] PRMU2022-34
pp.13-18
RCC, ITS, WBS 2022-12-14
11:05
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
Vehicle Route Detection Network Using Continuous Roadside Units
Gunhee Cho, Tao Yu, Jin Nakazato, Kei Sakaguchi (TokyoTech) WBS2022-55 ITS2022-31 RCC2022-55
For the purpose of establishing a digital twin society, this paper proposes an object recognition network architecture u... [more] WBS2022-55 ITS2022-31 RCC2022-55
pp.114-119
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