Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IMQ |
2024-05-24 14:25 |
Aichi |
Higashiyama Campus, Nagoya Univ. |
Image Quality Assessment and Analysis on Glossy and Painted of 3DCG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem Norifumi Kawabata (Computational Imaging Lab) IMQ2024-2 |
Gloss is one of the component of ``Shitsukan''. Although humans perceive the luster of objects visually and sensuously o... [more] |
IMQ2024-2 pp.7-12 |
RECONF, VLD |
2024-01-30 15:15 |
Kanagawa |
AIRBIC Meeting Room 1-4 (Primary: On-site, Secondary: Online) |
Comparison of Graph Data Structures for Breadth-First Search Accelerator HyGTA2 Jun Akimoto, Kazuya Tanigawa (Hiroshima City Univ), Kentaro Sano (Processor Research Team,RIKEN Center for Computational Science), Tetsuo Hironaka (Hiroshima City Univ) VLD2023-98 RECONF2023-101 |
[more] |
VLD2023-98 RECONF2023-101 pp.105-106 |
CPSY, IPSJ-ARC, IPSJ-HPC |
2023-12-06 10:30 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Development of Genetic Algorithm for Grid Graph in Order/Degree Problem Kimura Hiroto, Yoshiko Hanada (Kansai Univ.), Masahiro Nakao, Keiji Yamamoto (R-CCS) CPSY2023-32 |
We propose a genetic algorithm for solving grid graph that is a kind of Order/Degree problems (ODP). Grid graph is an op... [more] |
CPSY2023-32 pp.31-35 |
MVE, VRSJ-SIG-MR, IPSJ-EC, HI-SIG-DeMO, VRSJ-SIG-CS |
2023-10-27 16:20 |
Hokkaido |
|
Method of Estimating Camerawork from Monocular Video Based on Optical Flow Jinta Sakai (Tsukuba Univ), Xie Chun, Hidehiko Shishido, Itaru Kitahara (Center for Computational Sciences, Tsukuba Univ) MVE2023-31 |
(To be available after the conference date) [more] |
MVE2023-31 pp.52-57 |
DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] |
2023-03-23 16:25 |
Kagoshima |
Amagi Town Disaster Prevention Center (Tokunoshima) (Primary: On-site, Secondary: Online) |
Evaluation of Bit-Reduced Homomorphic Encryption Library on Intel Xeon and Fujitsu A64FX Masaki Nishi, Teppei Shishido, Xinyi Li, Keiji Kimura (Waseda Univ.), Kentaro Sano (RIKEN) CPSY2022-38 DC2022-97 |
As deep learning is used in various applications, the protection of training data, input data, inference results, and tr... [more] |
CPSY2022-38 DC2022-97 pp.25-30 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-22 14:45 |
Hokkaido |
Hokkaido Univ. |
Statistical Analysis on HEVC Image Quality for Contrast and Rotation Component of 3D CG Objects Based on Material Data Set of the Shitsukan Perception Standard Problem Norifumi Kawabata (Computational Imaging Lab) |
When humans perceive a 3D object, they visually check the surface of the object and evaluate the shape and condition of ... [more] |
|
ITE-IDY, IEIJ-SSL, EID, SID-JC, IEE-EDD [detail] |
2023-01-26 13:15 |
Online |
Online (Zoom) |
[Keynote Address]
Japan's first digital planetarium with 8K LED dome display
-- Overview of the technology and the potential for group experience high realism display devices -- Furuse Hiroyasu (KONICA MINORUTA) |
[more] |
|
IA |
2023-01-25 17:00 |
Osaka |
Osaka Umeda Campus, Kwansei Gakuin University (Osaka) (Primary: On-site, Secondary: Online) |
HDY-IBIS RA - Developing Breast Cancer Risk Assessment Tool Helping Nurses in Hatyai Hospital, Thailand Santad Promtan (College of Digital Science), Phungern Khongthong (Medical Oncologist, Hatyai Namom Cancer Centre, Hatyai Hospital), Chidchanok Choksuchat (Division of Computational Science, Prince of Songkla University) IA2022-76 |
[more] |
IA2022-76 pp.54-61 |
IPSJ-SLDM, RECONF, VLD [detail] |
2023-01-23 11:45 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Evaluation of reduced routing resources for HPC-Oriented CGRAs Carlos Cortes, Boma Adhi, Tomohiro Ueno (RIKEN Center for Computational Science (R-CCS)), Yiyu Tan (Dept of Systems Innovation Engineering Iwate Univ.), Takuya Kojima (Information Science and Technology The Univ. of Tokyo), Artur Podobas (KTH Royal Inst. of Technology), Kentaro Sato (RIKEN Center for Computational Science (R-CCS)) VLD2022-59 RECONF2022-82 |
[more] |
VLD2022-59 RECONF2022-82 pp.19-23 |
IPSJ-SLDM, RECONF, VLD [detail] |
2023-01-23 16:20 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Interface development for Python use of FPGA cluster ESSPER Taiki Watanabe (TUT), Kentaro Sano (R-CCS), Yukinori Sato (TUT) VLD2022-62 RECONF2022-85 |
[more] |
VLD2022-62 RECONF2022-85 pp.27-28 |
IMQ |
2022-10-21 13:40 |
Aichi |
E and S Building, Higashiyama Campus, Nagoya Univ. |
HEVC Image Quality Assessment for eXtended Reality (XR) Based on 360 Degrees Camera Norifumi Kawabata (Computational Imaging Lab) IMQ2022-12 |
360 degrees video camera is often used in our life, event, information communication service, and Virtual Reality (VR), ... [more] |
IMQ2022-12 pp.7-12 |
LOIS, IPSJ-DC |
2022-07-07 11:00 |
Online |
Online |
Greenhouse Microclimate Prediction based on Neural Networks Mujawamariya Marie Grace (Univ. of Tsukuba), Toshiyuki Amagasa (CCS, Univ. of Tsukuba), Naoya Fukuda (Univ. of Tsukuba) LOIS2022-4 |
Multivariate time series prediction approaches have been significant in wide range of real-world application. This paper... [more] |
LOIS2022-4 pp.1-6 |
RECONF |
2022-06-07 16:45 |
Ibaraki |
CCS, Univ. of Tsukuba (Primary: On-site, Secondary: Online) |
Preliminary Evaluation of FPGA-to-FPGA Communication Speed in FPGA Cluster ESSPER Rintaro Sakai, Yasuhiro Nakahara (Kumamoto Univ. /R-CSS), Kentaro Sano (R-CCS), Masahiro Iida (Kumamoto Univ. /R-CSS) RECONF2022-11 |
This study evaluates the communication speed between FPGAs assuming the FPGA cluster ESSPER is a scalable and
flexible ... [more] |
RECONF2022-11 pp.48-49 |
IBISML |
2022-03-09 11:35 |
Online |
Online |
[Invited Talk]
--- Masanobu Horie (RICOS Co. Ltd.) IBISML2021-43 |
Learning flow phenomena is an important problem for both theoretical and practical aspects. Graph neural networks are a ... [more] |
IBISML2021-43 p.37 |
MBE, NC (Joint) |
2022-03-03 15:30 |
Online |
Online |
EEG style transfer for sleep stage scoring using deep learning Naoki Omiya (Univ. of Tsukuba), Kazumasa Horie (CCS), Hiroyuki Kitagawa (IIIS) NC2021-66 |
Sleep stage scoring is a clinical inspection to identify in which sleep stages the patients are from their biological si... [more] |
NC2021-66 pp.106-111 |
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] |
2022-01-24 16:45 |
Online |
Online |
A study of an accelerator for CNN inference on FPGA clusters Rintaro Sakai (Kumamoto Univ. /R-CSS), Yasuhiro Nakahara (Kumamoto Univ. /R-CCS), Kentaro Sano (R-CCS), Masahiro Iida (Kumamoto Univ. /R-CCS) VLD2021-60 CPSY2021-29 RECONF2021-68 |
In this study, we propose a CNN accelerator for FPGA clusters, which accelerates the CNN inference process by distributi... [more] |
VLD2021-60 CPSY2021-29 RECONF2021-68 pp.61-66 |
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] |
2022-01-25 14:05 |
Online |
Online |
Initial Design and Evaluation of RIKEN CGRA: Data-Driven Architecture for Future HPC Boma Adhi, Carlos Cortes, Yiyu Tan (R-CCS), Takuya Kojima (Tokyo Univ.), Artur Podobas (KTH), Kentaro Sano (R-CCS) VLD2021-71 CPSY2021-40 RECONF2021-79 |
[more] |
VLD2021-71 CPSY2021-40 RECONF2021-79 pp.126-131 |
DE, IPSJ-DBS |
2021-12-27 15:00 |
Online |
(Primary: Online, Secondary: On-site) |
GPU-accelerated reverse k-nearest neighbor search for high-dimensional data Kyohei Tsuihiji (Univ. of Tsukuba), Toshiyuki Amagasa (CCS) DE2021-18 |
(To be available after the conference date) [more] |
DE2021-18 pp.19-24 |
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] |
2021-01-25 09:50 |
Online |
Online |
Study on Design and Evaluation of Stream Processing Hardware for Sound Simulation by FDTD method Hiroki Tada (JAIST), Tomohiro Ueno, Atsushi Koshiba, Kentaro Sano (R-CCS), Ryuta Kawano, Yasushi Inoguchi (JAIST) VLD2020-41 CPSY2020-24 RECONF2020-60 |
(To be available after the conference date) [more] |
VLD2020-41 CPSY2020-24 RECONF2020-60 pp.13-18 |
SR |
2021-01-26 10:50 |
Online |
Online |
An radio access control mechanism based on deep reinforcement learning Hang Zhou, Xiaoyan Wang, Masahiro Umehira (Ibaraki Univ.) SR2020-56 |
[more] |
SR2020-56 pp.52-59 |