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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP | 2018-08-21 09:50 |
Tokyo | Takushoku Univ. Bunkyo Campus. | [Invited Talk]
DNN Meets Tradition: Collaborative Processing of Traditional Signal Processing Technologies and Deep Neural Networks Toshihiko Yamasaki (The Univ. of Tokyo)  SIP2018-64 |
In recent years, deep neural networks (DNNs) is becoming the main stream of data processing. In fact, DNN-based approach... [more] | SIP2018-64 p.37 |
| CQ, MVE, IE, IMQ (Joint) [detail] |
2018-03-09 13:30 |
Okinawa | Okinawa Industry Support Center | Efficient and Interactive Image Retrieval Based on Semantic Segmentation Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki (Univ. of Tokyo) IMQ2017-59 IE2017-151 MVE2017-101 |
This paper proposes an efficient image retrieval system. When users wish to retrieve images with semantic and spatial co... [more] | IMQ2017-59 IE2017-151 MVE2017-101 pp.189-194 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-15 16:35 |
Hokkaido | Hokkaido Univ. | [Invited Talk]
Similar Floor Plan Retrieval Featuring Multi-Task Learning of Layout Type Classification and Room Presence Prediction Yuki Takada, Naoto Inoue, Toshihiko Yamasaki, Kiyoharu Aizawa (Tokyo Univ.) |
[more] | |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 09:30 |
Hokkaido | Hokkaido Univ. | Computing and Visualizing Image-level One-Order Facial Attribute Relations with Deep Features Sijie Shen, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) ITS2017-76 IE2017-108 |
Researches have shown that Multi-label classification performance could be improved by using spatial dependency and labe... [more] | ITS2017-76 IE2017-108 pp.217-222 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 09:45 |
Hokkaido | Hokkaido Univ. | Objective Feedback Generation on Presentation Slide Design using CNN Shinji Oyama, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) ITS2017-77 IE2017-109 |
Presentation slides are an effective way to deliver information in various fields. It has become easier to create slides... [more] | ITS2017-77 IE2017-109 pp.223-228 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 10:00 |
Hokkaido | Hokkaido Univ. | Monocular camera localization using geo-tagged images Kazuya Iwami (The Univ. of Tokyo), Satoshi Ikehata (NII), Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) ITS2017-78 IE2017-110 |
Monocular camera localization is a fundamental task for autonomous navigation and AR/VR. However, monocular 3D reconstr... [more] | ITS2017-78 IE2017-110 pp.229-234 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 10:15 |
Hokkaido | Hokkaido Univ. | ITS2017-79 IE2017-111 |
Domain adaptation is critical for success in new and unseen environments. Existing approaches for domain adaptation bas... [more] |
ITS2017-79 IE2017-111 pp.235-238 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 10:00 |
Hokkaido | Hokkaido Univ. | Speech balloon and speaker association by data driven approach Kazuyoshi Yamamoto, Toru Ogawa, Toshihiko Yamasaki, Kiyoharu Aizawa (Tokyo Univ.) |
[more] | |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 10:15 |
Hokkaido | Hokkaido Univ. | Forked Object Detector for Manga Objects Toru Ogawa, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) |
Comics play an important role in both the entertainment and the cultural heritage. With the growth of digitized comics, ... [more] | |
| PRMU | 2017-12-17 14:10 |
Kanagawa | () PRMU2017-106 |
[more] | PRMU2017-106 p.39 |
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| PRMU | 2017-12-17 14:40 |
Kanagawa | () PRMU2017-107 |
[more] | PRMU2017-107 pp.41-43 |
|
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Imression Prediction for Oral Presentations using Deep Neural Network Masayuki Kondo, Toshihiko Yamasaki, Kiyoharu Aizawa (The University of Tokyo) |
We present a method to predict impressions that audience has against presentation videos and how they change. In this pa... [more] | |
| EMM | 2017-11-07 11:00 |
Kagoshima | Kagoshima Univ. (Inamori Academy) | [Invited Talk]
Researches on Impressiveness Multimedia Contents
-- Attractiveness Computing using Big Multimedia Data -- Toshihiko Yamasaki (UTokyo) EMM2017-63 |
Due to the advancement in machine learning and pattern recognition technologies such as deep neural networks, recognitio... [more] | EMM2017-63 p.45 |
| MVE | 2017-09-21 10:00 |
Chiba | Chiba Univ. | Feature Extraction and Impression Prediction of Presentation Slides Shinji Oyama, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) MVE2017-14 |
Presentation using slides is an effective way to deliver information in various fields. Although it has become easier to... [more] | MVE2017-14 pp.1-6 |
| MVE | 2017-09-21 10:30 |
Chiba | Chiba Univ. | Environment and Action Analysis in a Nursery School using an IoT Camera Yuki Obuchi, Toshihiko Yamasaki (Univ. of Tokyo), Satoshi Toriumi (Future Standard), Mikihisa Hayashi, Sachiko Nozawa, Midori Takahashi, Toshihiko Endo, Kiyomi Akita (Univ. of Tokyo) MVE2017-15 |
We developed an IoT camera called Homeasure for the evaluation of the comfort levels of real estate building properties.... [more] | MVE2017-15 pp.7-11 |
| MVE | 2017-09-21 13:30 |
Chiba | Chiba Univ. | Invitation to Attractiveness Computing
-- The aim of the inauguration of the Technical Committee on Attractiveness Computing -- Toshihiko Yamasaki (The Univ. of Tokyo) |
[more] | |
| MVE | 2017-09-21 13:40 |
Chiba | Chiba Univ. | Introduction to Attractiveness Computing
-- Report on the inauguration symposium -- Toshihiko Yamasaki (The Univ. of Tokyo), Hirokazu Doi (Nagasaki Univ.), Ichiro Ide (Nagoya Univ.), Tokumichi Tsumura (Chiba Univ.) |
[more] | |
| MVE | 2017-09-21 15:00 |
Chiba | Chiba Univ. | [Panel Discussion]
Future of Attractiveness Computing Toshihiko Yamasaki (The Univ. of Tokyo), Hirokazu Doi (Nagasaki Univ.), Ichiro Ide (Nagoya Univ.), Tokumichi Tsumura (Chiba Univ.), Naoko Nitta (Osaka Univ.) |
[more] | |
| MVE | 2017-09-21 15:45 |
Chiba | Chiba Univ. | Predictions of Effectiveness of Television Advertising with Convolutional Neural Networks Shunsuke Nakamura (Univ. of Tokyo), Tatsuya Kawahara (VideoResearch), Toshihiko Yamasaki (Univ. of Tokyo) MVE2017-18 |
Predicting the recognition rate of television advertising is a critical issue for advertisers, but factors that contribu... [more] | MVE2017-18 pp.21-24 |
| PRMU, SP | 2017-06-23 14:45 |
Miyagi | Global Metric Localization and Correction of Scale Drift using Street View Kazuya Iwami, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) PRMU2017-37 SP2017-13 |
In this paper, we propose a novel method for video geo-localization using geo-tagged images, such as those retrieved fro... [more] | PRMU2017-37 SP2017-13 pp.69-74 |
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