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 |