| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 | 2023-10-13 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 |
| 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 |
| 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 |
| IT | 2022-07-22 14:40 |
Okayama | Okayama University of Science (Primary: On-site, Secondary: Online) |
Meta-Tree Set Construction for Approximate Bayes Optimal Prediction on Decision Tree Model Keito Tajima, Naoki Ichijo, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-27 |
Decision trees are generally used as a predictive function, but some studies use decision trees as data-generative model... [more] | IT2022-27 pp.61-66 |
| CCS | 2022-03-27 15:40 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Evaluation of Industrial Anomaly Detection using Diffusion Model Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2021-48 |
Anomaly detection by generative models is achieved by comparing the reconstruction and the original image. However, exis... [more] | CCS2021-48 pp.72-77 |
| IPSJ-AVM, CS, IE, ITE-BCT [detail] | 2021-11-25 10:25 |
Online | Online | wganBCS: Block-wise image compressive sensing and reconstruction model using adversarial training to eliminate block effects Boyan Chen (Hosei Univ./NPU), Kaoru Uchida (Hosei Univ.) CS2021-60 IE2021-19 |
The famous block-wise compressive sensing (BCS) paradigm can greatly reduce the memory consumption of sensing matrix co... [more] |
CS2021-60 IE2021-19 pp.1-6 |
| SIP, IT, RCS | 2021-01-22 15:15 |
Online | Online | An Image Generative Model with Various Auto-regressive Coefficients Depending on Neighboring Pixels and the Bayes Code for It Masahiro Takano, Yuta Nakahara, Toshiyasu Matsushima (Waseda Univ.) IT2020-108 SIP2020-86 RCS2020-199 |
In this papar, we propose an expanded model of an autoregressive stochastic generative model for images. This model cont... [more] | IT2020-108 SIP2020-86 RCS2020-199 pp.253-258 |
| SR | 2020-11-20 10:25 |
Online | Online | A Radio Map Construction Based on Deep Generative Models with 3 Dimensional map Shinsuke Bannai, Katsuya Suto (UEC) SR2020-40 |
This paper addresses a spatial extrapolation problem in measurement-based radio map construction. Compared to a spatial ... [more] | SR2020-40 pp.114-119 |
| IBISML | 2020-10-21 09:45 |
Online | Online | IBISML2020-18 |
A symbol emergence system is a multi-agent system where each autonomous agent forms internal representations through int... [more] | IBISML2020-18 pp.34-35 |
[Return to Top Page]