Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, IIEEJ, AS, CG-ARTS |
2025-03-10 11:47 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) |
An MR Fashion That Reflects Bio-Information
-- A Multiplayer Virtual Fashion Experience Utilizing Video See-Through MR, EEG, and Customized Garments -- Maika Yamamoto, Taiki Shigeno, Kenta Hidaka, Ryu Nakagawa (NCU) |
This paper introduces "MR Fashion," a multi-participant virtual fashion experience where real garments are augmented wit... [more] |
AIT2025-59 pp.73-76 |
ME |
2025-02-22 11:00 |
Online |
online |
Performance evaluation of Deep Learning based Image Reconstruction Models in Holographic MR Simultaneous Multi-slice Imaging Haruki Takeichi, Masaki Furuta, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
This study investigated a reconstruction model and a deep learning architecture to improve the quality of reconstructed ... [more] |
ME2025-45 pp.17-20 |
IEICE-MRIS, MMS |
2024-12-05 17:05 |
Ehime |
Ehime Univ. (CITE) (Primary: On-site, Secondary: Online) |
Micromagnetic analysis of the effect of the gap field rise time on STO oscillation for MAMR Keita Tatsuno, Yasushi Kanai (Niigata Inst. Tech.), Simon Greaves (Tohoku Univ.) |
The spin-torque oscillator (STO) used in microwave-assisted magnetic recording (MAMR) is the most important component in... [more] |
|
IDY, IEICE-EID, SID-JC [detail] |
2024-08-02 15:45 |
Online |
Online |
[Invited Talk]
Investigation of Hybrid Backplane with Highly Reliable IGZO TFTs for mass-production of HMDs Atsushi Hachiya, Mehadi Aman (Sharp Co.), Hsin-Ying Chiu (Reality Labs), Takushi Shinohara (Sharp Co.), Wan Yu Lin, Hossein Nemati (Reality Labs), Yohei Takeuchi, Kazuatsu Ito, Yuich Saitoh, Hiroaki Furukawa, Yujiro Takeda, Hiroshi Matsukizono (Sharp Co.), Linghui Rao, Jacob Choi (Reality Labs), Yasuhisa Itoh (Sharp Co.), Jim Zhuang (Reality Labs) |
A 2.48-inch with 1,218 ppi, LCD panel for Quest 3 using hybrid backplane technology with CMOS-LTPS and IGZO TFTs has bee... [more] |
IDY2024-30 pp.22-26 |
HI, IEICE-MVE, VRSJ, HI-SIG-DeMO, IPSJ-HCI, IPSJ-EC [detail] |
2024-06-07 14:10 |
Tokyo |
(Primary: On-site, Secondary: Online) |
fMRI adaptation to orientation of a reference frame by wide-view stimulation Kanon Fujimoto (Kyoto Univ.), Atsushi Wada (NICT) |
Subjective vertical is influenced by visual reference frames, while its neural representation remains unknown. This stud... [more] |
HI2024-33 pp.17-21 |
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19 13:45 |
Hokkaido |
Hokkaido Univ. |
Efficient Human Pose and Shape Estimation using Decomposed Manhattan Self-Attention Yushan Wang, Botao Zhang (TMU), Shuhei Tarashima (NTT Com), Norio Tagawa (TMU) |
HMR2.0, a high performance human pose and shape estimation algorithm, leverages ViT as its backbone and uses pretrained ... [more] |
MMS2024-9 ME2024-25 AIT2024-9 pp.44-48 |
IEICE-EID, IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] |
2024-01-25 13:15 |
Kyoto |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reproduction of changes in membrane potential of neurons by synaptic devices using memristors Kenta Yachida, Yoshiya Abe, Kazuki Sawai (Ryukoku Univ.), Tokiyoshi Matsuda (Kindai Univ./Ryukoku Univ.), Hidenori Kawanishi (Ryukoku Univ.), Mutsumi Kimura (Ryukoku Univ./NAIST) |
We attempted to replicate the changes in the membrane potential of neurons using thin-film neuromorphic devices that int... [more] |
|
AIT, IIEEJ, AS, CG-ARTS |
2023-03-06 10:25 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Primary: On-site, Secondary: Online) |
Performance support and enhancement of the electronic musical instrument Theremin by XR Noriki Amano (Mukogawa Women's Univ) |
This study aims to support the performance of the theremin, an electronic musical instrument, by XR (Cross Reality) and ... [more] |
AIT2023-35 pp.1-4 |
AIT, IIEEJ, AS, CG-ARTS |
2022-03-08 09:17 |
Online |
Online |
Meta Flowers
-- The Analogy of life in the XR Era -- Ken Sonobe, Ryu Nakagawa (Nagoya City Univ.) |
“Meta Flowers” is a multiparticipant installation artwork with Cross Reality (XR) . Wearing a glove-type tactile device ... [more] |
AIT2022-39 pp.5-8 |
AIT, IIEEJ, AS, CG-ARTS |
2022-03-08 13:50 |
Online |
Online |
Research and development of IoT data visualization system by using HoloLens2 for realizing smart city Motoki Hara, Tadashi Miyosawa (SUWA Univ.) |
In order to realize a smart city, we focused on the part of a smart city that can acquire and transmit information on di... [more] |
AIT2022-157 pp.415-416 |
HI, IEICE-HIP, ASJ-H, VRPSY [detail] |
2022-02-28 13:30 |
Online |
on line |
[Invited Talk]
Glossiness perception
-- cues, reproduction methods using 3D images and quantitative evaluation, brain mechanism, and effects on facial attractiveness and the neural correlates -- Yuichi Sakano (NICT/Osaka Univ.) |
By virtue of the recent great advances in computer graphics technology, mechanisms for the perception of object material... [more] |
|
ME |
2022-02-12 10:45 |
Online |
online |
Study on Deep Learning Reconstruction of MRI Complex Images Using Real-value CNN Itona Fukatsu, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
Application of compressed sensing has been applied to speed up the data acquisition time for MR imaging. In recent years... [more] |
ME2022-7 pp.25-27 |
BCT, IEICE-SIS |
2021-10-08 11:10 |
Online |
online |
A Hardware-Oriented Algorithm for Person Recognition Processing using GMM-MRCoHOG features Ryogo Takemoto, Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (AISIN), Shuichi Enokida, Hakaru Tamukoh (Kyutech) |
In this research, we focus on Gaussian Mixture Model-MultiResolution Co-occurrence Histograms of Oriented Gradients (GMM... [more] |
|
IDY, IEICE-EID, SID-JC [detail] |
2021-07-30 13:55 |
Online |
Online |
[Invited Lecture]
Multiscale Charge Transport Simulation and in Silico Material Design for Highly-Efficient OLEDs Hironori Kaji (Kyoto Univ.) |
Recently, remarkable progress has been made in the field of organic light-emitting diodes (OLEDs). Here, we show our rec... [more] |
IDY2021-18 pp.9-12 |
ME |
2021-07-16 14:00 |
Online |
Online |
Image Quality Improvements Using Half Fourier Encoding Method and Non-random Signal Under-sampling in CS-MRI Deep Learning Reconstruction Yuta Miyamoto, Satoshi Ito (Utsunomiya Univ.) |
Compressed Sensing has the potential to reduce the scan time of MRI, and recently, deep learning has attract at tensions... [more] |
ME2021-63 pp.9-11 |
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28 13:40 |
Online |
Online |
|
(To be available after the conference date) [more] |
|
IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29 14:10 |
Online |
Online |
Construction of Hidden Markov Models for Brain Tumor Segmentation Takuya Honda, Yuta Nakahara, Matushima Toshiyasu (Waseda Univ.) |
Brain tumor segmentation is one of the systems that a computer, which has attracted attention in recent years, assists d... [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 |
AIT, IIEEJ, AS, CG-ARTS |
2019-03-12 11:15 |
Tokyo |
Waseda Univ. |
[Poster Presentation]
Study of An Expandable Cylindrical Device Ryota Kubo, Masatoshi Suzuki, Akihiro Matsuura (Tokyo Denki Univ.) |
We present a cylindrical device that is scalable according to the scaling of a virtual space. The surface of the device ... [more] |
AIT2019-106 pp.205-206 |
ME |
2019-02-09 12:00 |
Kanagawa |
Kanto Gakuin University |
Investigation of realization of space for improvement of concentration ability using MR technology Kanta Michioka, Akira Kubota (Chuo Univ.) |
We aimed to realize an MR space that improves concentration on the desk by limiting the effective visual field of the us... [more] |
ME2019-10 pp.27-29 |