Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HI |
2024-03-19 15:40 |
Online |
|
Team work engagement improvement support system based on AI Facilitator Yuuki Yabe, Mutsuo Sano (OIT) |
Recently, there has been a demand for work styles that are conscious of work engagement, including productivity. In this... [more] |
HI2024-28 pp.60-63 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 16:45 |
Online |
online |
A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder
-- Introduction of Regularization Losses Based on Metrics of Disentangled Representation -- Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study disentangled representation learning using a deep generative model based on Variational Autoenco... [more] |
MMS2022-19 ME2022-44 AIT2022-19 pp.97-102 |
ME |
2021-12-13 14:50 |
Online |
online |
Latent expression separation using the locality of changes in the real image Toshiki Hazama (Ritsumeikan Univ.), Masataka Seo (OIT), Yen-Wei Chen (Ritsumeikan Univ.) |
GAN, a deep generative model, makes a great contribution to the image generation task. However, one of the problems that... [more] |
ME2021-95 pp.29-31 |
ME |
2021-12-13 15:20 |
Online |
online |
Automatic Generation of Viewpoint Change Video Using Consistent Regularized Generative Adversarial Networks Kento Otsu (Ritsumeikan Univ.), Masataka Seo (Osaka Institute of Technology Osaka), Yen-Wei Chen (Ritsumeikan Univ.) |
Gaze plays an important role in conversation. However, in a video call system using a personal computer or the like, it ... [more] |
ME2021-96 pp.33-35 |
BCT, IEICE-SIS |
2021-10-08 11:30 |
Online |
online |
Analysis of Writing Style on Wood Slips of the Chinese Han period Using Deep Generative Model Chiang Meng Yuan, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu (Kansai Univ.) |
In this paper, we develop a method to objectively analyze the calligraphic styles of wood slips excavated in Northwester... [more] |
|
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 14:55 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation ... [more] |
MMS2020-16 HI2020-16 ME2020-44 AIT2020-16 pp.79-83 |