Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
RCC, ISEC, IT, WBS |
2024-03-13 - 2024-03-14 |
Osaka |
Osaka Univ. (Suita Campus) |
Improving classification accuracy of imaged malware through data expansion Kaoru Yokobori, Hiroki Tanioka, Masahiko Sano, Kenji Matsuura, Tetsushi Ueta (Tokushima Univ.) IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 |
Although malware-based attacks have existed for years,
malware infections increased in 2019 and 2020.
One of the reaso... [more] |
IT2023-115 ISEC2023-114 WBS2023-103 RCC2023-97 pp.259-264 |
IA, SITE, IPSJ-IOT [detail] |
2024-03-13 13:40 |
Okinawa |
Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
A Steganalysis of Image Steganography using Real Image Denoising Shinnosuke Toguchi, Takamichi Miyata (CIT) SITE2023-100 IA2023-106 |
Image steganography is a technique for embedding secret messages in images. SteganoGAN, one of the previous methods, use... [more] |
SITE2023-100 IA2023-106 pp.195-202 |
EMM |
2024-03-02 14:00 |
Overseas |
Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency |
[Poster Presentation]
Detection of Partial Deepfake Videos Based on Facial Feature Points Sasuke Kobayashi, Hyunho Kang (NITTC) EMM2023-91 |
(To be available after the conference date) [more] |
EMM2023-91 pp.13-16 |
EMM |
2024-01-16 14:50 |
Miyagi |
Tohoku Univ. (Primary: On-site, Secondary: Online) |
Development of Smartphone App of an application of EmoEditor (Emotion-Expressive Editor) to mail communications Yuki Shimamura, Michiharu Niimi (KIT) EMM2023-82 |
We report the implementation of an emotion-expressive editor, EmoEditor, which enables emotion expression through font c... [more] |
EMM2023-82 pp.13-18 |
IBISML |
2023-12-20 16:25 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Anomaly detection by deep support data descriptions with pseudo-anomaly data Shuta Tsuchio, Takuya Kitamura (NIT, Toyama college) IBISML2023-34 |
This paper presents deep support vector data description (DSVDD) with pseudo-anomaly data that generated by generative m... [more] |
IBISML2023-34 pp.25-30 |
MI, MICT |
2023-11-14 15:40 |
Fukuoka |
|
Improving image quality of sparse-view micro-CT using Wasserstein GAN Naoki Ikezawa, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MICT2023-36 MI2023-29 |
Applications of micro-CT in pathology and histology have been studied in recent years, and we need to shorten the scanni... [more] |
MICT2023-36 MI2023-29 pp.45-47 |
BioX |
2023-10-12 15:25 |
Okinawa |
Nobumoto Ohama Memorial Hall |
A Study on Ear Acoustic Personal Authentication System Using Domain Transformation for Numerical Analysis Data Masafumi Morimoto (Kansai Univ.), Shunsuke Kita (ORIST), Yoshinobu Kajikawa (Kansai Univ.) BioX2023-60 |
We propose a new personal authentication system using ear pinna transfer functions.
This proposed method is constructe... [more] |
BioX2023-60 pp.12-15 |
EMM, ITE-ME, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] |
2023-09-07 17:10 |
Osaka |
Osaka Metropolitan University - Nakamozu Campus- (Hybrid) (Primary: On-site, Secondary: Online) |
Font Generation based on class labels by StyleGAN2 Yuki Shimamura, Michiharu Niimi (KIT) LOIS2023-11 IE2023-21 EMM2023-58 |
Text is an important media to convey informations. Text is used in Communications. But it is difficlt to convey our emot... [more] |
LOIS2023-11 IE2023-21 EMM2023-58 pp.22-27 |
CCS |
2023-03-27 09:20 |
Hokkaido |
RUSUTSU RESORT |
Learning Commutative Vector Field in Latent Space of Deep Generative Model Takehiro Aoshima, Takashi Matsubara (Osaka Univ.) CCS2022-83 |
Deep generative models, such as generative adversarial networks (GANs), are known for generating high-quality images. Ho... [more] |
CCS2022-83 pp.113-116 |
ICTSSL, CAS |
2023-01-27 11:25 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
On automatic illustrations generated by GAN networks Aika Honne, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-83 ICTSSL2022-47 |
In this report, we discuss automatic illustrations generated by GAN networks (adversarial generative networks). First, a... [more] |
CAS2022-83 ICTSSL2022-47 pp.104-107 |
PRMU |
2022-12-16 14:40 |
Toyama |
Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Data Augmentation Shumpei Takezaki (Kyushu Univ.), Kiyohito Tanaka (Kyoto Second Red Cross Hospital), Seiichi Uchida, Takeaki Kadota (Kyushu Univ.) PRMU2022-50 |
Disease severity regression by a convolutional neural network (CNN) for medical images requires a sufficient number of i... [more] |
PRMU2022-50 pp.95-99 |
SRW, SeMI, CNR (Joint) |
2022-11-25 11:05 |
Tochigi |
Epinard Nasu (Primary: On-site, Secondary: Online) |
n/a Natsuki Ikuo, Sorachi Kato, Hiroaki Shinmiya, Takuya Fujihashi (Osaka Univ.), Tomoki Murakami (NTT), Takashi Watanabe, Shunsuke Saruwatari (Osaka Univ.) SeMI2022-58 |
(To be available after the conference date) [more] |
SeMI2022-58 pp.31-36 |
IN, CCS (Joint) |
2022-08-05 09:40 |
Hokkaido |
Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Machine Learning-Based Network Traffic Prediction with Tunable Parameters Kaito Kuriyama, Kohei Watabe (Nagaoka Univ. of Tech.) IN2022-20 |
Network evaluation has become increasingly important in recent years.
Network evaluation requires large amounts of traf... [more] |
IN2022-20 pp.27-32 |
MI |
2022-07-08 17:00 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
[Short Paper]
Weakly-Supervised Focal Liver Lesion Detection in CT Images He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40 |
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] |
MI2022-40 pp.30-33 |
AI |
2022-07-04 16:50 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
A generative model for generation of playable levels in 2D video games. Soichiro Takata, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2022-16 |
(To be available after the conference date) [more] |
AI2022-16 pp.82-87 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2022-06-28 10:05 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Learning Attribute Vector Fields in GAN Latent Space Takehiro Aoshima, Takashi Matsubara (Osaka Univ.) NC2022-12 IBISML2022-12 |
Generative Adversarial Networks (GANs) can generate a great variety of high-quality images.
Despite their ability to g... [more] |
NC2022-12 IBISML2022-12 pp.94-99 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2022-06-17 15:00 |
Online |
Online |
SP2022-13 |
We investigate the method for unsupervised learning of artifacts correction networks used for post-processing of Multi B... [more] |
SP2022-13 pp.49-54 |
SIS, IPSJ-AVM |
2022-06-09 15:00 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Advanced applications of machine learning techniques towards high-performance and cost-effective visual inspection AI Terumasa Tokunaga (Kyutech) SIS2022-6 |
Visual inspection is an essential step for quality control in manufacturing. Recently, many researchers have shown great... [more] |
SIS2022-6 p.30 |
IMQ |
2022-05-27 14:25 |
Tokyo |
|
Classification-ESRGAN
-- Synthesis of super-resolution images based on subject categorization -- Jingan Liu, Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-3 |
In recent years, super-resolution techniques have been significantly developed based on deep learning. In particular, GA... [more] |
IMQ2022-3 pp.12-17 |
EMM |
2022-03-07 15:25 |
Online |
(Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
A Proposal for Emotion-Expressive Editor:EmoEditor by Font Changing Yuuki Shimamura, Michiharu Niimi (KIT) EMM2021-100 |
Text media is one of important ways in communications on computers. For example, email, LINE or Twitter uses it frequent... [more] |
EMM2021-100 pp.46-51 |