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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 55  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CNR 2023-08-09
14:45
Hokkaido
(Primary: On-site, Secondary: Online)
Construction of Groynes Reconfiguration System for Elucidation of River Channel Change Mechanism
Chen Zhang, Yuki Takahashi, Daichi Moteki, Hiroyasu Yasuda, Kiyoshi Hayasaka, Shogo Muramatsu (Niigata Univ.) CNR2023-4
In this report, a new actuation method is proposed for improving the prototype of our proposed river cyber-physical syst... [more] CNR2023-4
pp.18-21
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
SP, IPSJ-SLP, EA, SIP [detail] 2023-03-01
16:30
Okinawa
(Primary: On-site, Secondary: Online)
Low-bit Image Restoration with Loop-unrolled ISTA
Shu Abe, Soushi Takahashi, Shogo Muramatsu (Niigata Univ) EA2022-125 SIP2022-169 SP2022-89
This study proposes a low-bit image restoration method based on a loop-unrolled network of Iterative Shrinkage Threshold... [more] EA2022-125 SIP2022-169 SP2022-89
pp.288-293
SIP 2022-08-25
14:15
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Multiresolution Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to Riverbed State Estimation
Eisuke Kobayashi, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.) SIP2022-54
In this report, we propose a method that incorporates multi-resolution representation into Convolutional-Sparse-Coded Dy... [more] SIP2022-54
pp.25-30
SIP 2022-08-25
14:33
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Structured Deep Image Prior with Interscale Thresholding
Jikai Li, Shogo Muramatsu (Niigata Univ.) SIP2022-55
This work proposes a novel image denoising technique inspired by the deep image prior (DIP) method. Our contribution is ... [more] SIP2022-55
pp.31-36
SIP 2022-08-26
15:33
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Locally-Structured Unitary Network to Capture Tangent Spaces of Manifold
Godage Yasas, Shogo Muramatsu (Niigata Univ.) SIP2022-75
This work proposes a unique linear transform, locally-structured unitary network (LSUN), that captures tangent spaces of... [more] SIP2022-75
pp.129-133
SIP 2022-08-26
15:51
Okinawa Nobumoto Ohama Memorial Hall (Ishigaki Island)
(Primary: On-site, Secondary: Online)
Design of Structured Convolutional Dictionary by Manifold Optimization for Image Restoration
Soushi Takahashi, Shogo Muramatsu (Niigata Univ.) SIP2022-76
This work reports on the effectiveness of a structured convolutional dictionary learning that introduces manifold optimi... [more] SIP2022-76
pp.134-139
IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2021-06-04
14:45
Online Online Acceleration of High-Dimensional Signal Restoration with Primal-Dual Splitting
Gai Yamamoto, Shogo Muramatsu (Niigata Univ.)
 [more]
IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2021-06-04
15:15
Online Online Acceleration of Dictionary Learning by Non-Separable Oversampled Lapped Transform for Image Restoration
Soushi Takahashi, Shogo Muramatsu (Niigata Univ.)
 [more]
SANE 2020-06-26
14:30
Online Online Fundamental study on human motion classification with millimeter wave FM-CW radar by using CNN
Fumiya Sakagami, Hiroyoshi Yamada, Shogo Muramatsu (Niigata Univ.) SANE2020-12
 [more] SANE2020-12
pp.19-24
MSS, CAS, SIP, VLD 2020-06-18
15:00
Online Online [Panel Discussion] The role of System and Signal Processing Subsociety -- Pros & Cons of Online Video Meeting --
Shogo Muramatsu (Niigata Univ.), Shigemasa Takai (Osaka Univ.), Yasuhiro Takashima (Univ. of Kitakyushu), Kasunori Hayashi (Kyoto Univ.), Daisuke Fukuda (Fujitsu Lab.) CAS2020-10 VLD2020-10 SIP2020-26 MSS2020-10
The four technical committees (TCs) of Systems and Signal Processing sub-society, i.e., TCs of Circuits and Systems (CAS... [more] CAS2020-10 VLD2020-10 SIP2020-26 MSS2020-10
pp.53-56
MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] 2020-05-28
10:50
Online Online [Special Talk] High-dimensional Signal Restoration by Convolutional Networks Driving Fusion Across Multiple Disciplines -- Sparse Modeling and Convolutional Dictionary Learning --
Shogo Muramatsu (Niigata Univ.)
This talk outlines a restoration process of high-dimensional signals such as image and volumetric data. With the develop... [more]
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Performance Evaluation of Convolutional-Sparse-Coded Dynamic Mode Decomposition in River Groynes Model Experiment
Yusuke Arai, Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake (Niigata Univ.) EA2019-154 SIP2019-156 SP2019-103
 [more] EA2019-154 SIP2019-156 SP2019-103
pp.307-312
SANE 2019-11-28
14:00
Osaka OIT UMEDA Campus Fundamental Study on Side Targets Detection for Automotive Millimeter-Wave SAR Imaging in Curved Tracks
Akira Oshima, Hiroyoshi Yamada, Shogo Muramatsu (Niigata Univ.) SANE2019-70
In recently, automatic operating system for vehicle, such as advanced driver assistance system, has been intensively stu... [more] SANE2019-70
pp.1-4
SIP, MI, IE 2019-05-23
13:25
Aichi   OCT Volumetric Data Restoration with 3-D Non-separable Oversampled Lapped Transforms
Yuta Yoshida, Genki fujii (Graduate School of Science and Tech., Niigata Univ.), Shogo Muramatsu, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Institute of Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2019-2 IE2019-2 MI2019-2
 [more] SIP2019-2 IE2019-2 MI2019-2
pp.7-12
SANE 2018-10-12
13:55
Tokyo The University of Electro-Communications Fundamental Study on Ambiguity Suppression by Using SIMO radar of Automotive Squint-mode MW-SAR
Akira Oshima, Hiroyoshi Yamada, Shogo Muramatsu, Yoshio Yamaguchi (Niigata Univ.) SANE2018-52
Automatic operating system for vehicle, such as advanced driver assistance system, has been intensively studied recently... [more] SANE2018-52
pp.45-49
SIP 2018-08-20
14:25
Tokyo Takushoku Univ. Bunkyo Campus. Experiment on OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Genki Fujii, Shogo Muramatsu, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2018-58
In this report, we try to apply the restoration algorithm proposed in [1] to real observation data acquired byoptical co... [more] SIP2018-58
pp.7-12
SIP 2018-08-20
15:15
Tokyo Takushoku Univ. Bunkyo Campus. River Data Analysis by Dynamic Mode Decomposition
Kyohei Igo, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka (Niigata Univ.), Gene Cheung (NII) SIP2018-60
 [more] SIP2018-60
pp.19-24
SIP 2018-08-21
09:15
Tokyo Takushoku Univ. Bunkyo Campus. On Structural Constraint for Convolutional Layers in CNN
Shota Kayamori, Shogo Muramatsu (Niigata Univ.) SIP2018-63
This work investigates Convolutional Neural Network (CNN) constituted by convolution layers imposed structural constrain... [more] SIP2018-63
pp.33-36
CAS, SIP, MSS, VLD 2018-06-15
12:25
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) [Panel Discussion] The role of System and Signal Processing Subsociety -- The roadmaps of groups and subsociety Part 1 --
Satoshi Yamane (Kanazawa Univ.), Hideaki Okazaki (Shonan Inst. of Tech.), Noriyuki Minegishi (Mitsubishi Electric), Shogo Muramatsu (Niigata Univ.), Morikazu Nakamura (Univ. of the Ryukyus) CAS2018-25 VLD2018-28 SIP2018-45 MSS2018-25
The four technical committees CAS, VLD, SIP, and MSS of System and Signal Processing Subsociety holds joint workshop sin... [more] CAS2018-25 VLD2018-28 SIP2018-45 MSS2018-25
p.129
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