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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 61  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ITE-ME, ITE-IST, BioX, SIP, MI, IE [detail] 2024-06-06
13:45
Niigata Nigata University (Ekinan-Campus "TOKIMATE") GSP-Traffic Dataset: Graph Signal Processing Dataset Based on Traffic Simulation
Rui Kumagai (Osaka Univ), Hayate Kojima (Tokyo Univ of Agriculture and Technology), Hiroshi Higashi, Yuichi Tanaka (Osaka Univ)
(To be available after the conference date) [more]
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
15:20
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Efficient regularizer for 4D light field image denoising based on graph-learning
Rino Yoshida (TUS), Kazuya Kodama (NII), Gene Cheung (York Univ.), Takayuki Hamamoto (TUS) IMQ2023-56 IE2023-111 MVE2023-85
Advanced 3D visual media as promising technology often require 4D light fields composed of dense multi-view images for a... [more] IMQ2023-56 IE2023-111 MVE2023-85
pp.235-240
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
09:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
IMQ2023-68 IE2023-123 MVE2023-97 We propose a simultaneous method of multimodal graph signal denoising and graph learning. Since sensor networks distribu... [more] IMQ2023-68 IE2023-123 MVE2023-97
pp.301-306
IN 2024-01-18
15:50
Aichi   [Invited Talk] Malicious social bot detection on social networks based on graph signal processing
Satoshi Furutani (NTT) IN2023-55
Social media have been deeply blended into our lives as a major platform to gather information, disseminate information,... [more] IN2023-55
pp.35-39
NLP, CAS 2023-10-07
13:40
Gifu Work plaza Gifu Expantion of Graph Fourier Transform Based on Degree of Freedom at Circuit Ports
Ayumu Suzuki, Takashi Hisakado, Mahfuzul Islam (Kyoto Univ.) CAS2023-56 NLP2023-55
In this paper, we define the boundary condition of graph.
Recently, graph signal processing is attracting attention.
H... [more]
CAS2023-56 NLP2023-55
pp.117-120
SIP 2023-08-08
11:40
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
Lossy Compression of Adjacency Matrices by Graph Filter Banks
Kenta Yanagiya, Junya Hara, Hiroshi Higashi, Yuichi Tanaka (Osaka Univ.) SIP2023-57
In this paper, we propose a compression framework for adjacency matrices of weighted graphs by graph filter banks. Adjac... [more] SIP2023-57
pp.49-54
SIP 2023-08-08
13:30
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
Twofold Signed Graph Learning for Multimodal Graph Signals
Haruki Yokota, Yuichi Tanaka (OU) SIP2023-58
Multimodal signals measured by multiple sensors distributed in space may be spatially smooth and show both positive and ... [more] SIP2023-58
pp.55-59
SIP 2023-08-08
14:10
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
Human Pose Refinement Using Line Graphs
Hayate Kojima (TUAT), Yuichi Tanaka (Osaka Univ.) SIP2023-60
This technical report proposes a refining method of human pose data using line graphs. A line graph is a type of graph c... [more] SIP2023-60
pp.66-70
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
13:10
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
[Special Talk] Group Sparse/Low-rank Modeling for Multidimensional Signal Recovery
Seisuke Kyochi (Kogakuin Univ.) IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82
Group sparse/low-rank modeling based on the ℓ1 norm and nuclear norm has been successfully applied
to signal processing... [more]
IMQ2022-52 CQ2022-93 IE2022-129 MVE2022-82
pp.156-161(IMQ), pp.64-69(CQ), pp.156-161(IE), pp.156-161(MVE)
ICSS, IPSJ-SPT 2023-03-13
13:10
Okinawa Okinawaken Seinenkaikan
(Primary: On-site, Secondary: Online)
sEMG-based Gesture Authentication for Smartwatch
Akihisa Watanabe, Ryo Iijima, Tatsuya Mori (Waseda Univ.,) ICSS2022-50
We propose a gesture-based user recognition system using sEMG signals for smartwatches.
We designed the system to reali... [more]
ICSS2022-50
pp.13-18
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
16:10
Okinawa
(Primary: On-site, Secondary: Online)
On Design of Real Filters For Directed Graph Signals
Shogo Muramatsu, Hotaka Kitamura, Hiroyashu Yasuda (Niigta Univ.), Yuichi Tanaka (Osaka Univ.) EA2022-124 SIP2022-168 SP2022-88
This study investigates a real-valued filter realization for directed graph signals. The authors proposed a para-graph F... [more] EA2022-124 SIP2022-168 SP2022-88
pp.282-287
MVE, IPSJ-CVIM, VRSJ-SIG-MR 2023-01-27
13:35
Nara Nara Institute of Science and Technology
(Primary: On-site, Secondary: Online)
[Invited Talk] Emotion sensing for food processing
Wataru Sato (RIKEN) MVE2022-43
Physiological correlates of emotional experience with food stimuli are practically and theoretically important. Some pre... [more] MVE2022-43
pp.49-53
OCS, CS
(Joint)
2023-01-13
15:10
Fukuoka CANAL CITY HAKATA
(Primary: On-site, Secondary: Online)
An eavesdropping model for constellation-preserving simple symbol encryption and its evaluation
Keiji Shimada, Takahiro Kodama (Kagawa Univ.) OCS2022-67
We have proposed constellation-preserving simple symbol encryption that keeps the arrangement of symbol points containin... [more] OCS2022-67
pp.39-44
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
09:20
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Locally Constrained Sampling Strategy for Generalized Graph Signal Sampling
Kazuki Asakura, Shunsuke Ono (Tokyo Tech) EA2021-69 SIP2021-96 SP2021-54
We propose a design method of vertex domain sampling for graph signals that guarantees perfect reconstruction. The exist... [more] EA2021-69 SIP2021-96 SP2021-54
pp.32-37
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-01
09:20
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Hyperspectral Image Denoising by Graph Spatio-Spectral Total Variation Minimization
Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono (Tokyo Tech) EA2021-70 SIP2021-97 SP2021-55
We propose a novel denoising method for hyperspectral images (HSI) based on the Graph Spatio-Spectral Total Variation (G... [more] EA2021-70 SIP2021-97 SP2021-55
pp.38-43
PN 2022-03-02
09:50
Online Online Initial study of pseudo-phase noise-based symbol masked polarization-multiplexed M-QAM signal using a time-spreading encryption key
Keiji Shimada, Mizuki Inagaki, Takahiro Kodama (Kagawa Univ.) PN2021-70
In recent years, a common key cryptosystem for the physical layer has been introduced in digital signals to keep the dat... [more] PN2021-70
pp.92-97
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
13:25
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Transformer-based Text Decoding using Electrocorticography
Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT) EA2021-87 SIP2021-114 SP2021-72
Invasive brain-machine interfaces (BMIs) are a promising neurotechnology for achieving direct speech communication from ... [more] EA2021-87 SIP2021-114 SP2021-72
pp.146-151
OCS, CS
(Joint)
2022-01-14
11:00
Yamaguchi Conference room 204A・B at KDDI Ishin-hall
(Primary: On-site, Secondary: Online)
Study of the Amount of Mutual Information of Secure Polarization Multiplexed M-QAM Signal with Symbol Placement Retention Masking Method
Keiji Shimada, Mizuki Inagaki, Takahiro Kodama (Kagawa Univ.) OCS2021-36
In recent years, optical communication transceivers have been required to have high confidentiality for data. A shared k... [more] OCS2021-36
pp.16-21
IPSJ-AVM, CS, IE, ITE-BCT [detail] 2021-11-25
11:15
Online Online CS2021-62 IE2021-21 A light field (LF) image is composed of multi-view images acquired by slightly offset viewpoints. We propose a novel met... [more] CS2021-62 IE2021-21
pp.13-18
CQ, ICM, NS, NV
(Joint)
2021-11-25
11:05
Fukuoka JR Hakata Stn. Hakata EkiHigashi Rental Room
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Overhead Reduction for High-Quality Graph-Based Point Cloud Delivery
Soushi Ueno, Takuya Fujihashi (Osaka Univ.), Toshiaki Koike-Akino (MERL), Takashi Watanabe (Osaka Univ.) NS2021-85
The point cloud expresses three-dimensional (3D) information by using many points on 3D space. It is important to be abl... [more] NS2021-85
pp.7-12
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