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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 13:45 |
Hokkaido | Hokkaido Univ. | Parametric Weight Method for Scene Text Image Super-Resolution Supatta Viriyavisuthisakul (JAIST), Parinya Sanguanset (PIM), Teeradaj Racharak, Minh Le Nguyen (JAIST), Toshihiko Yamasaki (UTokyo)  ITS2022-70 IE2022-87 |
[more] | ITS2022-70 IE2022-87 pp.159-162 |
| MVE | 2022-09-09 10:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Presentation Slide Assessment System using Visual and Semantic Segmentation Features Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Toshihiko Yamasaki (UTokyo) MVE2022-13 |
In this paper, we present a new presentation slide assessment system that can consider structural features of the slides... [more] | MVE2022-13 pp.16-21 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 10:45 |
Online | Online | User Satisfaction Prediction for Dialogue System in Mental Health Interventions Shengzhou Yi (UTokyo), Toshiaki Kikuchi (Keio), Toshihiko Yamasaki (UTokyo) ITS2021-25 IE2021-34 |
Mental health conditions deeply impact all areas of the life. Too much stress, most of which is related to work performa... [more] | ITS2021-25 IE2021-34 pp.1-6 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 12:45 |
Online | Online | Regularizing Generative Adversarial Networks with Internal Representation of Generators Yusuke Hara, Toshihiko Yamasaki (UTokyo) ITS2021-29 IE2021-38 |
In training generative adversarial networks, maintaining the criteria of the discriminator stably is crucial to training... [more] | ITS2021-29 IE2021-38 pp.25-30 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 13:30 |
Online | Online | Prediction of Seismic Intensity Distribution Using Neural Networks Haruki Mitarai, Koyu Mizutani, Kakeru Miyazaki, Ryugo Shimamura, Soichiro Kumano, Toshihiko Yamasaki (UTokyo) ITS2021-32 IE2021-41 |
(To be available after the conference date) [more] | ITS2021-32 IE2021-41 pp.43-48 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:00 |
Online | Online | Pretext-Contrastive Learning for Self-Supervised Video Feature Learning Li Tao (UTokyo), Xueting Wang (CyberAgent, Inc.), Toshihiko Yamasaki (UTokyo) ITS2021-43 IE2021-52 |
Recently, pretext task-based methods are proposed one after another in self-supervised video feature learning. Contrasti... [more] | ITS2021-43 IE2021-52 pp.109-114 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:15 |
Online | Online | Contrastive Self-Supervised Learning Framework for Unsupervised Video Summarization Xianliang Zhang, Li Tao (UTokyo), Xueting Wang (CyberAgent AI Lab), Toshihiko Yamasaki (UTokyo) ITS2021-44 IE2021-53 |
The rapid growth of video data aggravates the effort by viewers in exploring informative data. This paper presents a fra... [more] | ITS2021-44 IE2021-53 pp.115-120 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 10:30 |
Online | Online | A Length Controllable Model for Stylized Image Captioning Chi Zhang, Li Tao, Toshihiko Yamasaki (UTokyo) ITS2021-45 IE2021-54 |
Stylized image captioning aims at generating captions with styles, based on the input images. In this paper, we aim at g... [more] | ITS2021-45 IE2021-54 pp.121-126 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 11:40 |
Online | Online | English Situation-dependent Sentiment Polarity Dictionary Toshiki Matsumura, Atsushi Takada (UTokyo), Yoshinobu Kano (Shizuoka Univ.), Toshihiko Yamasaki (UTokyo) ITS2021-49 IE2021-58 |
An sentiment polarity dictionary is indispensable for reputation and sentiment analysis using Social Network Services (S... [more] | ITS2021-49 IE2021-58 pp.145-150 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 13:30 |
Online | Online | What Kind of Images to Post on Instagram? Image Recommendation for Marketing Yiwei Zhang, Toshihiko Yamasaki (UTokyo) ITS2021-53 IE2021-62 |
Social media is a popular platform for brands to allocate marketing budget and build their relationship with customers n... [more] | ITS2021-53 IE2021-62 pp.167-172 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 14:00 |
Online | Online | ITS2021-55 IE2021-64 |
[more] | ITS2021-55 IE2021-64 pp.179-183 |
| MVE | 2021-09-17 13:00 |
Online | Online | Identifying Design Problems of Presentation Slides using a Bimodal Neural Network Shengzhou Yi (UTokyo), Junichiro Matsugami (Rubato), Toshihiko Yamasaki (UTokyo) MVE2021-12 |
Although millions of presentation slides are created every day in business and academia, there are only a limited number... [more] | MVE2021-12 pp.21-26 |
| MVE | 2021-09-17 13:30 |
Online | Online | Distracted Driving Classification with Multi-task Learning Dichao Liu (NU), Xueting Wang, Toshihiko Yamasaki (Univ.Tokyo), Yu Wang (Rits), Kenji Mase (NU), Jien Kato (Rits) MVE2021-13 |
[more] | MVE2021-13 pp.27-32 |
| PRMU, IPSJ-CVIM | 2021-03-04 16:35 |
Online | Online | Quantifying detection quality in the presence of adversarial inputs in dermatological images Mishra Sourav (UTokyo), Hideaki Imaizumi (exMedio), Toshihiko Yamasaki (UTokyo) PRMU2020-82 |
We have tested deep learning based detection on dermatological conditions commonly encountered in clinical settings. Des... [more] | PRMU2020-82 pp.77-82 |
| PRMU, IPSJ-CVIM | 2021-03-05 14:40 |
Online | Online | Learning from Synthetic Shadows Naoto Inoue, Toshihiko Yamasaki (UTokyo) PRMU2020-92 |
Shadow removal is essential for some downstream tasks in computer vision and computer graphics. Recent shadow removal ap... [more] | PRMU2020-92 pp.133-138 |
| PRMU, IPSJ-CVIM | 2021-03-05 14:40 |
Online | Online | Retrieving Interesting Planetary Images based on Captions Hiya Roy, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2020-95 |
Planetary images are collected by sophisticated imaging devices onboard the orbiting or roving spacecraft. As the number... [more] | PRMU2020-95 pp.151-156 |
| PRMU, IPSJ-CVIM | 2021-03-05 16:25 |
Online | Online | Towards Adversarial Robustness of Learning in the Frequency Domain Subhajit Chaudhury, Toshihiko Yamasaki (UTokyo) PRMU2020-100 |
Adversarial attacks study the effect of noise on the robustness of Convolutional Neural Networks (CNNs). Typically, thes... [more] | PRMU2020-100 pp.176-180 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 09:45 |
Online | Online | Action Detection Based on Supervised Contrastive Learning Keita Iida, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo) IMQ2020-10 IE2020-50 MVE2020-42 |
We propose a method based on supervised contrastive learning in order to extract better feature for action detection. Ac... [more] | IMQ2020-10 IE2020-50 MVE2020-42 pp.1-6 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 11:10 |
Online | Online | Preference Analysis of Shopping Malls' Followers and Text Recommendation on Twitter Mantaro Yamada, Xueting Wang, Toshihiko Yamasaki (Univ. of Tokyo) IMQ2020-11 IE2020-51 MVE2020-43 |
In this work, we analyze preference features of shopping malls' followers by focusing on their following and like behavi... [more] | IMQ2020-11 IE2020-51 MVE2020-43 pp.7-12 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 14:40 |
Online | Online | Semantic and Quantitative Explanation for Networks using Feature Interaction Bohui Xia, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo) IMQ2020-35 IE2020-75 MVE2020-67 |
Deep learning-based methods have shown remarkable performances in many tasks. However, it is hard for us to interpret th... [more] | IMQ2020-35 IE2020-75 MVE2020-67 pp.127-132 |
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