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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 86  /  [Next]  
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
 Results 1 - 20 of 86  /  [Next]  
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