Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
QIT (2nd) |
2024-05-28 13:00 |
Ibaraki |
AIST Tsukuba |
[Poster Presentation]
On the Convex Optimization Method for POVM Estimation of a Photon-Number-Resolving Detector
-- Estimation Accuracy and Shot Noise -- Akio Yoshizawa (AIST), Daiji Fukuda (AIST/OPERANDO-OIL) |
(To be available after the conference date) [more] |
|
RCS |
2024-04-26 09:55 |
Hiroshima |
(Primary: On-site, Secondary: Online) |
Performance Improvement by Dimensionality Reduction of Interference Subspace on One-Shot Null-Space Expansion for Massive MIMO Soya Nakamura, Yuki Sasaki, Kazuki Maruta (Tokyo Univ. of Science) RCS2024-7 |
Massive MIMO Null Space Expansion (NSE) is effective multiuser precoding scheme in time-varying channels,taking advantag... [more] |
RCS2024-7 pp.32-37 |
NLP, MSS |
2024-03-14 15:15 |
Misc. |
Kikai-Shinko-Kaikan Bldg. |
Zero-shot class separation degree of the feature extractor Chisato Takahashi, Kenya Jin'no (Tokyo City Univ.) MSS2023-95 NLP2023-147 |
Network Architecture Search (NAS) is a method to automatically search for the optimal structure of a neural network. Sin... [more] |
MSS2023-95 NLP2023-147 pp.115-118 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 11:04 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Incorporating Vector Norms into Semantic Segmentation Based on Cross Attentions of Stable Diffusion Yuichi Miyata, Katsufumi Inoue, Michifumi Yoshioka (Osaka Metropolitan Univ.) PRMU2023-72 |
(To be available after the conference date) [more] |
PRMU2023-72 pp.122-127 |
IE, CS, IPSJ-AVM [detail] |
2023-12-11 16:25 |
Fukuoka |
Kyushu Institute of Technology (Primary: On-site, Secondary: Online) |
[Special Invited Talk]
Considerations on Image Processing, Coding and Sensing Seishi Takamura (Hosei Univ.) CS2023-84 IE2023-26 |
In image/video coding, the input signal may be coded as-is, but image processing, such as noise removal, for example, ma... [more] |
CS2023-84 IE2023-26 p.17 |
RISING (3rd) |
2023-10-31 13:00 |
Hokkaido |
Kaderu 2・7 (Sapporo) |
[Poster Presentation]
Few Shot Learning-Driven Traffic Forecast for 5G VNF Scaling Qianqian Pan, Akihiro Nakao (The Univ. of Tokyo) |
Virtual network functions (VNFs) make 5G networks more feasible to the diverse and heterogeneous communication environme... [more] |
|
MIKA (3rd) |
2023-10-11 14:30 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Dimensionality reduction of interference subspace on one-shot null-space expansion for massive MIMO Soya Nakamura, Yuki Sasaki, Maruta Kazuki (Tokyo Univ.Science) |
Massive MIMO Null Space Expansion (NSE) is effective multiuser precoding scheme in time-varying channels,taking advantag... [more] |
|
DE, IPSJ-DBS, IPSJ-IFAT [detail] |
2023-09-22 09:00 |
Fukuoka |
Kitakyushu International Conference Center |
DE2023-18 |
(To be available after the conference date) [more] |
DE2023-18 pp.42-47 |
NLC |
2023-09-07 16:20 |
Osaka |
Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
Estimation of sentence boundaries in texts on business performance Kaito Takano, Kei Nakagawa (NAM), Hiroyuki Sakai (Seikei Univ.) NLC2023-13 |
In order to maintain a healthy market for financial instruments, listed companies are required to disclose corporate inf... [more] |
NLC2023-13 pp.69-74 |
NLC, IPSJ-NL |
2023-03-18 11:05 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Estimating Named Entity Label Representation for Generative Low-Resource NER Yuya Sawada (NAIST), Hiroki Teranishi (RIKEN AIP), Hiroki Ouchi (NAIST), Yuji Matsumoto (RIKEN AIP), Taro Watanabe (NAIST) NLC2022-22 |
Named entity recognition (NER) system needs to identify the entities of novel entity types with fewer examples. Few-shot... [more] |
NLC2022-22 pp.16-21 |
ET |
2023-03-15 14:50 |
Tokushima |
Tokushima University (Primary: On-site, Secondary: Online) |
Visualization of the Contexts in Elaboration of Research Documents for Facilitating the Understanding of Work Circumstances Sho Onami (Fukushima Univ.), Ryo Onuma (Tsuda Univ.), Hiroki Nakayama (Yamagata Univ.), Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2022-90 |
Research activities are generally carried out by stacking multiple tasks such as survey, discussion, presentation of wor... [more] |
ET2022-90 pp.189-194 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 09:30 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Detection of UI parts from web page images utilizing a small amount of data Wataru Aizaki, Sotaro Kato, Yoshihisa Shinozawa (Keio Univ.), Yukako Iimura, Shinobu Saito (NTT) PRMU2022-61 IBISML2022-68 |
The purpose of our research is to devise a method for detecting UI parts in a Web screen. The proposed method consists o... [more] |
PRMU2022-61 IBISML2022-68 pp.17-22 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-02 11:05 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study of Word Lip-Reading using Meta Learning Michinari Kodama, Takeshi Saitoh (kyutech) PRMU2022-77 IBISML2022-84 |
Lip-reading technology, which estimates utterance content using only visual information, is a kind of supervised learnin... [more] |
PRMU2022-77 IBISML2022-84 pp.102-106 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 09:20 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
A Study of Few-shot NeRF by Pseudo-Feature Vectors Evaluation for Unknown Viewpoints Daiju Kanaoka (Kyutech/RIKEN), Motoharu Sonogashira (RIKEN), Hakaru Tamukoh (Kyutech/Neumorph Center), Yasutomo Kawanishi (RIKEN) PRMU2022-101 IBISML2022-108 |
Neural Radiance Fields (NeRF) is a powerful method for novel view synthesis.
However, NeRF requires a large number of ... [more] |
PRMU2022-101 IBISML2022-108 pp.220-225 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2023-03-03 16:10 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Sota Kato, Kazuhiro Hotta (Meijo Univ.) PRMU2022-110 IBISML2022-117 |
(To be available after the conference date) [more] |
PRMU2022-110 IBISML2022-117 pp.269-274 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 14:30 |
Hokkaido |
Hokkaido Univ. |
Low-latency shot noise reduction method for ultra-high definition cameras Kodai Kikuchi, Kohei Tomioka, Usui Takemichi, Kitamura Kazuya (NHK), Keigo Hirakawa (University of Dayton) ITS2022-52 IE2022-69 |
A real-time shot noise reduction system for 4K/8K ultra-high definition cameras is developed, which incorporates the exi... [more] |
ITS2022-52 IE2022-69 pp.53-58 |
IE |
2023-02-02 17:00 |
Tokyo |
NII (Primary: On-site, Secondary: Online) |
[Invited Talk]
The merits and demerits of the optical shot noise in digital imaging
-- Toward acquisition of true brightness -- Seishi Takamura (Hosei Univ.) IE2022-57 |
In CMOS image sensors, the reduction of dark current noise and readout noise, two of the three major image sensor noises... [more] |
IE2022-57 pp.21-24 |
CCS |
2022-11-18 09:50 |
Mie |
(Primary: On-site, Secondary: Online) |
Consideration of an indicator of the total channels suitable for CNN Chisato Takahashi, Kenya Jin'no (TCU) CCS2022-54 |
Neural Architecture Search (NAS), which aims to automatically optimize the structure in order to search for neural netwo... [more] |
CCS2022-54 pp.57-60 |
SIS |
2022-03-03 14:45 |
Online |
Online |
Few-Shot Music Artist Classification Tianshuai Yu, Yoshimasa Tsuruoka (Tokyo Univ.) SIS2021-36 |
Music artist classification is known as a task in the field of Music Information Retrieval(MIR). Recently, due to the im... [more] |
SIS2021-36 pp.32-37 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interpolation of head-related transfer function from small amount of observation data using deep learning based on spherical wavefunction expansion Yuki Ito, Tomohiko Nakamura, Shoichi Koyama, Hiroshi Saruwatari (UTokyo) EA2021-90 SIP2021-117 SP2021-75 |
In binaural synthesis, listeners' individual head-related transfer functions (HRTFs) are necessary for highly-immersive ... [more] |
EA2021-90 SIP2021-117 SP2021-75 pp.163-170 |