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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 43  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
11:00
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
[Invited Talk] From Pixels to Precision: Passing into the Future of Super-Resolution Mastery
Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] IMQ2023-42 IE2023-97 MVE2023-71
p.165
SIS 2023-12-08
14:40
Aichi Sakurayama Campus, Nagoya City University
(Primary: On-site, Secondary: Online)
[Invited Talk] Maximum Likelihood DOA Estimation
Masakiyo Suzuki (Kitami Inst. Technol.) SIS2023-44
DOA estimation of narrow band signals based on Maximum Likelihood method is formulated using arrival signals modeled as ... [more] SIS2023-44
pp.111-116
CQ, MIKA
(Joint)
(2nd)
2023-08-31
10:50
Fukushima Tenjin-Misaki Sports Park [Poster Presentation] An Exploration of a Graph Super-Resolution Algorithm using Spectra and Degree Distributionof a Graph Super-Resolution Algorithm using Spectra and Degree Distribution
Hiroyoshi Sawano (Kwansei Gakuin Univ), Ryotaro Matsuo (Fukuoka Univ), Hiroyuki Ohsaki (Kwansei Gakuin Univ)
Generally, for large-scale and complex networks, obtaining information on the entire topology is not straightforward due... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
11:30
Hokkaido Hokkaido Univ. Implementation of Hierarchical Object Detection Method for Super High-Definition Image Sensing
Makoto Sugaya, Yusei Horikawa, Renpei Yoshida, Tetsuya Matsumura (Nihon Univ.) ITS2022-65 IE2022-82
In this paper, we propose a hierarchical object detection method for a 4K super-high definition. This method is a three-... [more] ITS2022-65 IE2022-82
pp.130-135
IMQ 2022-05-27
14:25
Tokyo   Classification-ESRGAN -- Synthesis of super-resolution images based on subject categorization --
Jingan Liu, Atsumu Harada, Naiwala P. Chandrasiri (Kogakuin Univ.) IMQ2022-3
In recent years, super-resolution techniques have been significantly developed based on deep learning. In particular, GA... [more] IMQ2022-3
pp.12-17
SANE 2019-08-23
14:25
Tokyo Electric Navigation Research Institute Super-resolution Scattering Direction Estimation for Circular SAR Imagery
Takuma Watanabe, Daisuke Ogawa, Yasuyuki Oishi (Fujitsu) SANE2019-41
Circular synthetic aperture radar (CSAR) is a microwave imaging technique which employs a circular flight trajectory of ... [more] SANE2019-41
pp.37-42
IE 2019-06-21
13:00
Okinawa   SUPER-RESOLUTION BASED ON BACK-PROJECTION OF INTERPOLATED IMAGE
Sawiya Kiatpapan, Takuro Yamaguchi, Masaaki Ikehara (Keio Univ.) IE2019-17
Image upscaling to obtain high quality digital image is one of the active research topics as it is applicable in the con... [more] IE2019-17
pp.1-5
NLP 2018-08-08
15:00
Kagawa Saiwai-cho Campus, Kagawa Univ. Super-Resolution Reconstruction Using Adaptive Nearest Neighbor Interpolation by Iterative Back-Projection
Ryuya Ukai, Ryohei Mizutani, Yuki kawai, Teruki Uchida, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake, Masatoshi Sato (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2018-58
The pixel density of display devices are improving, and the importance of the resolution as a criteria to determine the ... [more] NLP2018-58
pp.31-34
IMQ 2018-05-25
14:15
Chiba Chibe Institute of Technology, Tsudanuma Campus Optimal Design and Coded Image Quality Assessment of the Multi-view and Super-resolution Images Based on Structure of Convolutional Neural Network
Norifumi Kawabata (Nagoya Univ.) IMQ2018-3
The image screen resolution by viewpoints is low, comparing to single-view images since there are many viewpoints for mu... [more] IMQ2018-3
pp.15-20
SANE 2018-05-14
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis
Masanari Nakamura, Tetsutaro Yamada, Yasushi Obata, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2018-6
In this paper, we propose multiple target tracking algorithm for dense targets which move toward the radar. When FBSSP-M... [more] SANE2018-6
pp.29-34
US 2017-04-27
10:30
Tokyo   Experimental Study for Super-Resolution Ultrasound Imaging Based on Carrier Frequency Sweeping
Jing Zhu, Shuntaro Hamazumi, Yihsin Ho, Kan Okubo, Norio Tagawa (Tokyo Metropolitan Univ.) US2017-1
Synthetic Aperture (SA) is one of the conventional techniques used for ultrasound imaging, Super resolution FM-Chirp cor... [more] US2017-1
pp.1-4
IMQ 2016-12-16
14:20
Tokyo Tokyo University of Technology Application of Classification Algorithm for the Image Quality Assessment of Multi-view 3D CG Images and 5K Images by Using S-CIELAB Color Space
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2016-18
Toward the 2020 Tokyo Olympic Games, it is expected that general broadcasting of 4K picture quality will be started. The... [more] IMQ2016-18
pp.13-18
SANE 2015-11-23
14:50
Overseas AIT, Bangkok, Thailand Super-Resolution Time of Arrival Estimation Using Random Resampling in Compressed Sensing
Masanari Noto, Fang Shang, Shouhei Kidera, Tetsuo Kirimoto (UEC) SANE2015-54
Super-resolution time of arrival (TOA) estimation techniques are strongly demanded for general radar system. As one of t... [more] SANE2015-54
pp.27-32
SIS 2015-03-06
10:40
Tokyo Meiji Univ. Nakano Campus (Tokyo) High speed Sparse-coding Superresolution by Multiple Degenerated Basis Dictionaries
Naoki Motohashi, Satoshi Nakamura, Toshihiro Suzuki (Ricoh) SIS2014-106
Single-frame Superresolution (Single-frame SR) is a technique for improving the quality of low resolution images, which ... [more] SIS2014-106
pp.85-90
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] MSIST-based Image Restoration with Non-separable Oversampled Lapped Transforms
Sho Wakasugi, Shogo Muramatsu (Niigata Univ) EA2014-90 SIP2014-131 SP2014-153
This work proposes, an image restoration technique with modified subbsnd-adaptive iterative shrinkage thresholding (MSIS... [more] EA2014-90 SIP2014-131 SP2014-153
pp.91-96
US 2015-02-27
11:30
Kanagawa IHI Yokohama Efficient Realization of Super Resolution FM-Chirp Correlation Method Using Synthetic Aperture Scheme
Takayuki Wada, Kan Okubo, Norio Tagawa (Tokyo Metro. Univ.), Yoshiyasu Hirose (ITOCHU Techno-Solutions Corp.) US2014-97
This study addresses the efficient realization of super resolution FM-chirp correlation method (SCM) using synthetic ape... [more] US2014-97
pp.19-22
RCC, ASN, NS, RCS, SR
(Joint)
2014-08-01
16:05
Kyoto Kyoto Terrsa A Fall Detection System Using Low Resolution Infrared Array Sensor
Shota Mashiyama, Jihoon Hong, Tomoaki Ohtsuki (Keio Univ.) ASN2014-81
Nowadays, aging society is a big problem and demand for monitoring systems is becoming higher. Under this circumstance, ... [more] ASN2014-81
pp.219-224
AP, SAT
(Joint)
2014-07-24
10:10
Gifu Gero Citizen Hall Propagation measurements in time-varying channels via super-resolution algorithms
Hiroaki Hirai, Hideto Aikawa (Mitsubishi Electric) AP2014-49
This paper presents the measurements results under time-varying propagation condition where a vehicle runs through betwe... [more] AP2014-49
pp.7-12
CAS, SIP, MSS, VLD, SIS [detail] 2014-07-09
15:50
Hokkaido Hokkaido University high speed super-resolution based on compressed sensing
Tomohiro Yamashita, Jaehoon Yu, Yoshinori Takeuchi, Masaharu Imai (Osaka Univ.) CAS2014-16 VLD2014-25 SIP2014-37 MSS2014-16 SIS2014-16
This paper proposes a speed-up superresolution(SR) method based on
compressed sensing, where SR is a class of technique... [more]
CAS2014-16 VLD2014-25 SIP2014-37 MSS2014-16 SIS2014-16
pp.75-80
RCS, SIP 2014-01-23
13:25
Fukuoka Kyushu Univ. Shock Filter Based on Non-Local Means for Image Super-Resolution
Taichi Yoshida, Masaaki Ikehara (Keio Univ.) SIP2013-101 RCS2013-271
In this paper,we propose a shock filter based on the non-local means algorithm for image super-resolution.The super-reso... [more] SIP2013-101 RCS2013-271
pp.95-99
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