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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2022-03-10 09:15 |
Online | Online | Unsupervised adaptation of appearance-based gaze estimation models for domains with different label distributions. Takuru Shimoyama, Yusuke Sugano (The Univ. of Tokyo)  PRMU2021-61 |
The annotation of gaze estimation is time-consuming, and it is not easy to collect training data under the exact same li... [more] | PRMU2021-61 pp.7-12 |
| PRMU | 2021-12-16 11:15 |
Online | Online | A Dataset for Work Instruction Deviation Detection from Field Work Videos Ryosuke Furuta (UTokyo), Motohiro Takagi (NTT), Yusuke Sugano, Yoichi Sato (UTokyo) PRMU2021-30 |
It is important to follow the work instruction manuals for field workers in order to protect them from accidents. In thi... [more] | PRMU2021-30 pp.37-42 |
| PRMU, IPSJ-CVIM | 2021-03-05 16:10 |
Online | Online | Cross-view Non-local Neural Networks for Joint Representation Learning between First and Third Person Videos Zhehao Zhu, Yusuke Sugano, Yoichi Sato (UTokyo) PRMU2020-99 |
This paper introduces a cross-view non-local neural network to learn joint representations for understandinghuman activi... [more] | PRMU2020-99 pp.170-175 |
| PRMU, IPSJ-CVIM | 2020-03-16 14:55 |
Kyoto | (Cancelled but technical report was issued) |
Egocentric Action Recognition on Noisy Videos Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato (UTokyo) PRMU2019-73 |
Egocentric videos in real-life setting (like vlogs on YouTube) are often flooded with outlier frames and content-irrelev... [more] | PRMU2019-73 pp.45-50 |
| AP, RCS (Joint) |
2019-11-21 14:50 |
Saga | Saga Univ. | [Invited Lecture]
Indoor Localization Improvement by Combining Wireless Beacon and Handset Sensor Information Kazushi Naruke, Naoki Honma, Daichi Kitamura (Iwate Univ.), Yusuke Sugawara, Atsushi Miura (ERi) AP2019-125 RCS2019-222 |
This paper proposes two methods for improving the accuracy of indoor localization, which combines RSSI (Received Signal ... [more] | AP2019-125 RCS2019-222 pp.101-106(AP), pp.109-114(RCS) |
| AP, SANE, SAT (Joint) |
2019-07-19 10:15 |
Miyagi | Tohoku Univ. | Experimental Evaluation of Indoor Localization Using RSSI-Based DOD and RSSI Ranging Daichi Kitamura, Naoki Honma, Kazushi Naruke, Kentaro Murata (Iwate Univ.), Yusuke Sugawara, Atsushi Miura (ERi) AP2019-41 |
In this report, we investigate the improvement of indoor localization accuracy using only Received Signal Strength Indic... [more] | AP2019-41 pp.107-112 |
| AP | 2018-10-19 13:25 |
Okayama | Okayama Univ. | Handset localization method using RSSI-based DOD history and PDR Kota Kikuchi, Naoki Honma, Kazushi Naruke (Iwate Univ.), Yusuke Sugawara, Hiroto Minamizawa, Atsushi Miura (ERi inc.) AP2018-97 |
In this paper, we propose a localization method to estimate a terminal position by combining the Direction-of-Departure ... [more] | AP2018-97 pp.47-52 |
| AP | 2018-06-21 15:20 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Experimental Evaluation of Indoor Localization Method Using RSSI Ranging and Handset Sensor Information Kazushi Naruke, Kota Kikuchi, Naoki Honma, Ryota Tazawa (Iwate Univ.), Yusuke Sugawara, Hiroto Minamizawa, Atsushi Miura (ERi Inc.) AP2018-41 |
In this report, we investigate the indoor localization method using handset sensor information, i.e. the accelerometer a... [more] | AP2018-41 pp.21-26 |
| PRMU, BioX | 2018-03-18 17:10 |
Tokyo | BioX2017-54 PRMU2017-190 |
(To be available after the conference date) [more] | BioX2017-54 PRMU2017-190 pp.109-114 |
|
| SIS, IPSJ-AVM | 2017-10-12 15:00 |
Nara | Todaiji Culture Center | Avoiding checkerboard artifact in convolutional neural networks including upsampling layers Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2017-25 |
[more] | SIS2017-25 pp.23-28 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-20 10:30 |
Hokkaido | Hokkaido Univ. | A parallel computation method of super resolution using convolutional neural networks Yusuke Sugawara, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) ITS2016-44 IE2016-102 |
An acceleration method for interpolation-based super resolution methods using convolutional neural networks, represente... [more] |
ITS2016-44 IE2016-102 pp.13-18 |
| VLD, CAS, MSS, SIP | 2016-06-16 17:00 |
Aomori | Hirosaki Shiritsu Kanko-kan | Image retrieval in JPEG 2000 codestream domain by a deep learning approach Yusuke Sugawara (Tokyo Metropolitan Univ), Osamu Watanabe (Takushoku Univ), Sayaka Shiota, Hitoshi Kiya (Tokyo Metropolitan Univ) CAS2016-15 VLD2016-21 SIP2016-49 MSS2016-15 |
A codestream-level image retrieval scheme for JPEG 2000 images by using a deep learning approach is proposed in this a... [more] |
CAS2016-15 VLD2016-21 SIP2016-49 MSS2016-15 pp.79-84 |
| PRMU | 2014-03-13 09:00 |
Tokyo | Image Preference Estimation with Gaze and Image Features Yasunori Ozaki, Yusuke Sugano, Yoichi Sato (Univ. of Tokyo) PRMU2013-168 |
In this work, we report the result of the estimation for user's image preference by computer with gaze information and i... [more] | PRMU2013-168 pp.1-6 |
|
| ITS, IEE-ITS | 2012-03-15 16:15 |
Tokyo | A study on Crossing collision prevention system using IVC and in-vehicle obstacle detection sensors Yusuke Takatori, Yusuke Suganuma, Hiroyuki Yashima (TUS) ITS2011-61 |
This paper describes a crossing collision prevention system which uses inter-vehicle communication network that shares i... [more] | ITS2011-61 pp.39-44 |
|
| HIP | 2011-02-22 15:10 |
Okinawa | Okinawa International Univ. | Evaluating Conventional Saliency Map Models for Estimating Human Egocentric Visual Attention Kentaro Yamada, Yusuke Sugano, Takahiro Okabe, Yoichi Sato (The Univ. of Tokyo), Akihiro Sugimoto (NII), Kazuo Hiraki (The Univ. of Tokyo) HIP2010-94 |
The validity of using conventional saliency map models to predict human attention was investigated for video captured wi... [more] | HIP2010-94 pp.81-86 |
| MW | 2010-03-04 10:35 |
Kyoto | Ryukoku Univ. | An Experimental Study of a Wide-Band Microstrip Coupled-Line BPF with Tunable Characteristics Yusuke Suga (Univ. of Electro-Comm.), Kenichi Ohta (TAIYO YUDEN), Koji Wada (Univ. of Electro-Comm.) MW2009-183 |
In this study, we present a wide-passband bandpass filter(BPF) using coupled lines with varactor diodes. Basic characte... [more] |
MW2009-183 pp.25-29 |
| SCE, MW | 2008-04-22 09:20 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | - Yusuke Suga (UEC), Kenichi Ohta (TAIYO YUDEN), Koji Wada (UEC) SCE2008-2 MW2008-2 |
In this paper, a tunable wide-passband bandpass filter(BPF) with attenuation poles based on distributed tap-coupling res... [more] | SCE2008-2 MW2008-2 pp.7-12 |
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