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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICM, IPSJ-IOT, IPSJ-CSEC | 2024-05-30 13:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Generative AI for Enhanced System Design and Evaluation Jayesh Guntupalli, Kentaro Watanabe (Hitachi Ltd.) |
(To be available after the conference date) [more] | |
| MI | 2024-03-03 09:29 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automatic generation of PET/CT images by using large multimodal model Yasushi Hirano, Seiya Konomi, Haku Ishida (Yamaguchi Univ.), Shoji Kido (Osaka Univ.)  MI2023-32 |
The purpose of this study was to reduce the workload of radiologists by developing a computer-aided diagnosis (CADx) sys... [more] | MI2023-32 pp.7-10 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 10:52 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Illust Protection against Generative AI using DnCNN Yukiya Fukuda, Daiju Kanaoka (Kyutech), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) PRMU2023-71 |
Although generative AI such as stable diffusion are rapidly developing, but there are concerns about problems such as un... [more] | PRMU2023-71 pp.116-121 |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Speech representation based on VAE assuming gamma distribution for latent variables and observation Nanako Imaichi, Toru Nakashika (UEC) EA2023-104 SIP2023-151 SP2023-86 |
Recently, deep generative models that can represent complex relationships in data generation have been attracting attent... [more] | EA2023-104 SIP2023-151 SP2023-86 pp.256-261 |
| 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 |
| DE, IPSJ-DBS | 2023-12-26 14:40 |
Tokyo | Institute of Industrial Science, The University of Tokyo | Utilizing ChatGPT for Solving Financial Mathematics Problems and Generating Educational Materials Yukari Shirota (Gakushuin Univ), Anna Kuwana (Wayo Women's Univ) DE2023-30 |
In this study, we attempted to solve economic mathematics problems and generate educational materials using ChatGPT. Ini... [more] | DE2023-30 pp.12-17 |
| TL | 2023-12-23 17:30 |
Online | National Tsing Hua University（Taiwan） (Primary: Online, Secondary: On-site) |
Possible Improvements of Learner Essays through Effective Use of Assistive Writing Tools
-- Subjective Expert Evaluation of System Proposals for Revision -- Yasunari Harada (Waseda U.), Miwa Morishita (Kobe Gakuin U.), Kevin Tuan, Jason S. Chang (NTHU) TL2023-38 |
Development and wide-spread use of native and learner corpora in these two decades, tother with recent new and accelerat... [more] | TL2023-38 pp.41-46 |
| 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 |
| RISING (3rd) |
2023-10-31 09:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Triadic Split Computing toward Privacy-Conscious Generative AI services Shoki Ohta, Takayuki Nishio (Tokyo Tech) |
With the rapid advancements in big AI models such as text and image generation models, numerous web services have begun ... [more] | |
| 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 |
| BioX | 2023-10-13 10:20 |
Okinawa | Nobumoto Ohama Memorial Hall | Discrimination between Real and Generated Gestures of Speakers
-- An Attempt to Improve Generalization Performance in Unseen Generation Methods through Self-Supervised Learning -- Geng Mu (AGU), Naoshi Kaneko (TDU), Kazuhiko Sumi (AGU) BioX2023-67 |
Currently, discerning artificially generated misinformation is a critical societal challenge, with research progressing ... [more] | BioX2023-67 pp.44-49 |
| 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 |
| MVE | 2023-09-08 15:10 |
Osaka | (Primary: On-site, Secondary: Online) |
Interview dialogue system based on the evaluation grid method using large-scale language models Daisuke Miyajima, Fan Zhang, Masashi Sugimoto, Kanon Sasaki, Taisei Kitano (Kwansei Gakuin Univ.), Sho Hashimoto (Seinan Gakuin univ./Kwansei Gakuin Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2023-20 |
The individual interview method using the evaluation grid method is known as a method for structurally understanding use... [more] | MVE2023-20 pp.33-38 |
| CQ, MIKA (Joint) |
2023-08-31 15:55 |
Fukushima | Tenjin-Misaki Sports Park | Semantic Communication with Masked Autoencoders: Enhancing Efficiency in Image Transmission Jiale Wu, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2023-29 |
Semantic communication, a promising candidate for 6G technology, has become a research hot spot. However, existing studi... [more] | CQ2023-29 pp.20-25 |
| PRMU, IPSJ-CVIM | 2023-05-18 14:30 |
Aichi | (Primary: On-site, Secondary: Online) |
Discriminating between fake and real gestures in automatic gesture generation Geng Mu, Nosh Kaneko, Kazuhiko Sumi (AGU) PRMU2023-5 |
In recent years, gestures play a crucial role in communication with anthropomorphized agents and robots. The use of gest... [more] | PRMU2023-5 pp.22-26 |
| 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 |
| NC, MBE (Joint) |
2023-03-14 16:15 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Generation and inpainting of Kuzushiji image data using Boltzmann Machines Hiroki Ikoma (NAIST), Mauricio Bermudez, Minho Lee (KNU), Kazushi Ikeda (NAIST) NC2022-108 |
It is almost impossible for the average person to read Kuzushiji today. For this reason, there is a need to develop tool... [more] | NC2022-108 pp.94-98 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Toward Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi (NTT/Kyoto Univ.), Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai (NTT), Hisashi Kashima (Kyoto Univ.) PRMU2022-58 IBISML2022-65 |
This paper investigates methods for improving generative data augmentation for deep learning. Generative data augmentati... [more] | PRMU2022-58 IBISML2022-65 pp.1-6 |
| SIS | 2023-03-03 14:30 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
On Semantic Image Processing with Autoencoder Hiroyuki Tsuji (KAIT) SIS2022-58 |
Variational Auto Encoder (VAE) has a conceptually well-structured latent space and can realize semantic image manipulati... [more] | SIS2022-58 pp.97-102 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 10:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Diffusion-based parallel voice conversion with source-feature condition Takuya Kishida, Toru Nakashika (UEC) EA2022-107 SIP2022-151 SP2022-71 |
We propose a voice conversion method based on a diffusion probabilistic model trained on a parallel dataset. Since the d... [more] | EA2022-107 SIP2022-151 SP2022-71 pp.191-196 |
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