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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 173  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
09:00
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Distance-informed adversarial learning for metal artifact reduction
Daisuke Shigemori, Megumi Nakao (Kyoto Univ.) MI2023-62
In this study, we propose an adversarial learning framework that utilises distance information from metal to reduce CT m... [more] MI2023-62
pp.95-98
IE, CS, IPSJ-AVM [detail] 2023-12-11
16:25
Fukuoka Kyushu Institute of Technology
(Primary: On-site, Secondary: Online)
[Special Invited Talk] Considerations on Image Processing, Coding and Sensing
Seishi Takamura (Hosei Univ.) CS2023-84 IE2023-26
In image/video coding, the input signal may be coded as-is, but image processing, such as noise removal, for example, ma... [more] CS2023-84 IE2023-26
p.17
SIS 2023-12-08
12:00
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
Study on Nonlinear Image Decoloring Method Using Sequentially Updated Basis
Daichi Hiroe, Go Tanaka (Nagoya City Univ.) SIS2023-40
Decoloring of color images is a useful technique for data compression, reduction of printing costs, and support for colo... [more] SIS2023-40
pp.89-94
CS 2023-11-09
10:55
Shizuoka Plaza Verde Deep Joint Source-Channel Coding using Overlap Image Division for Block Noise Reduction
Ryunosuke Yamamoto, Yoshiaki Inoue, Daisuke Hisano (Osaka Univ.) CS2023-65
Deep Joint Source-Channel Coding (Deep JSCC), which uses deep learning to perform source and channel coding simultaneous... [more] CS2023-65
pp.16-18
SIS, IPSJ-AVM [detail] 2023-06-16
13:00
Shimane NIT, Matsue College
(Primary: On-site, Secondary: Online)
Application of Sequentially Updated Signed Color Distance to Image Decoloring Method Based on Linear Projection and Study on Definition of Signed Color Distance
Daichi Hiroe, Go Tanaka (Nagoya City Univ.) SIS2023-13
Color removal of images is a useful technique in terms of data compression, printing cost reduction, and so on and is in... [more] SIS2023-13
pp.67-72
MI 2023-05-18
16:00
Aichi Nagoya Congress Center Correlation Between Grid Masks in an Explanation Method for Image Classification
Kentaro Matsumoto, Yuji Ayatsuka (CRESCO) MI2023-5
One of the approaches to visualize the basis for image classification by machine learning is to use output values when c... [more] MI2023-5
pp.14-18
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:30
Hokkaido Hokkaido Univ. Image Division Based Interframe Prediction Method with Reduced Frame Memory for Ultra-Low-Latency Video-coding
Mai Yamaguchi, Matsumura Tetsuya (Nihon Univ.)
In this paper, we propose a new inter-frame prediction method for Ultra-Low-Latency Video-coding. The proposed method re... [more]
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
MICT, MI 2022-11-18
13:00
Aichi Nagoya Institute of Technology [Invited Talk] Transition of medical image processing research towards Society 5.0
Kunihiro Chihara (Jikei Univ. of Health Care Sci.) MICT2022-37 MI2022-66
When the world began to shift to an information society, research into automatic diagnosis using computers began in the ... [more] MICT2022-37 MI2022-66
pp.18-23
IMQ, HIP 2022-07-08
14:50
Hokkaido Satellite Campus, Sapporo City University Derivation of Blur Function of CT Image on the Basis of Stochastic Differential Equation
Kuniharu Imai (Nagoya Univ), Yuki Yamamoto (Fujita Health Univ), Kengo Igarashi, Keisuke Fujii, Chiyo Kawaura, Shigeru Matsushima (Nagoya Univ) IMQ2022-8 HIP2022-39
Recently, various algorisms for reducing image noise on CT images have been developed and made it possible to depict a t... [more] IMQ2022-8 HIP2022-39
pp.21-26
CCS, NLP 2022-06-09
15:20
Osaka
(Primary: On-site, Secondary: Online)
Speeding-up by Reduction of Processing Paths in Octave Convolution
Akito Yoshikawa, Hidehiro Nakano (Tokyo City Univ.) NLP2022-6 CCS2022-6
Octave Convolution (OctConv), one of the convolutional neural network methods, can also improve accuracy while reducing ... [more] NLP2022-6 CCS2022-6
pp.27-30
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
11:00
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Accurate Image Matching with 3D Map using its Structure
Yohei Hanaoka, Suwichaya Suwanwimolkul, Satoshi Komorita (KDDI Research) SIP2022-20 BioX2022-20 IE2022-20 MI2022-20
To estimate camera pose using 3D mesh data such as a 3D city model, it is necessary to accurately match 3D mesh data, in... [more] SIP2022-20 BioX2022-20 IE2022-20 MI2022-20
pp.103-108
RCS, SR, SRW
(Joint)
2022-03-04
16:40
Online Online Denoising Method Using Deep Image Prior for Improving Accuracy of Radar Target Detection
Koji Endo, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.) RCS2021-299
A Multiple-Input Multiple-Output (MIMO) Frequency-Modulated Continuous Wave (FMCW) radar can provide various application... [more] RCS2021-299
pp.241-246
MI 2022-01-26
10:13
Online Online [Short Paper] Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning
Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] MI2021-53
pp.41-42
OCS, CS
(Joint)
2022-01-13
14:30
Yamaguchi Conference room 204A・B at KDDI Ishin-hall
(Primary: On-site, Secondary: Online)
Image Compression and Progressive Retransmission Scheme on Edge Computing System for Image Data Reduction
Mutsuki Nakahara, Daisuke Hisano (Osaka Univ.), Mai Nishimura (OSX), Takayuki Nishio (Tokyo Tech.), Yoshitaka Ushiku (OSX), Kazuki Maruta (Tokyo Tech.), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) CS2021-69
Edge computing has been getting attention due to reducing the data traffic in the backbone network. On the other hand, t... [more] CS2021-69
pp.7-12
PRMU 2021-12-17
14:45
Online Online Data Selection for Efficient Deep Learning
Ryota Higashi, Toshikazu Wada (Wakayama Univ.) PRMU2021-51
We are investigating the method to sample the important data from the whole dataset for efficient training of Deep Neura... [more] PRMU2021-51
pp.148-153
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2021-11-25
10:50
Online Online Acceleration of Neural Network Visualization RISE by Reduction of Masks
Tomoki Nakada, Imamura Kousuke (Kanazawa Univ.) CS2021-61 IE2021-20
Recently, various techniques have been proposed to visualize the basis for decisions in image recognition using neural n... [more] CS2021-61 IE2021-20
pp.7-12
WBS, MICT 2021-07-30
13:00
Online Online [Poster Presentation] Space division multiplexing, low-luminance uplink optical camera communication by reducing white light cell size
Alisa Kawade, Wataru Chujo, Kentaro Kobayashi (Meijo Univ.) WBS2021-26 MICT2021-19
To increase data rate and security at the physical layer of space division multiplexing uplink optical camera communicat... [more] WBS2021-26 MICT2021-19
pp.24-29
KBSE, IPSJ-SE, SS [detail] 2021-07-08
15:40
Online Online (Zoom) A Study of the Fruit Sorting System Using YOLO Object Detection
Hiroyuki Akai, Mengchun Xie, Mitsutoshi Murata, Nobuo Iwasaki, Toru Mori (NIT, Wakayama College) SS2021-8 KBSE2021-20
Recently, the development of systems for agriculture using deep learning has been progressing. When applying deep learni... [more] SS2021-8 KBSE2021-20
pp.41-45
EMM, IT 2021-05-21
14:00
Online Online An MSB Prediction-Based Method with Less Prediction Errors for Reversible Data Hiding in Encrypted Images
Kotaro Yamamura, Shoko Imaizumi (Chiba Univ.), Hitoshi Kiya (Tokyo Metropolitan Univ.) IT2021-13 EMM2021-13
In this paper, we propose an MSB prediction-based reversible data hiding method in encrypted images. The proposed method... [more] IT2021-13 EMM2021-13
pp.72-77
 Results 1 - 20 of 173  /  [Next]  
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