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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] | 2020-09-02 09:55 |
Online | Online | A survey of the effects of long-term refraining from going out on subjective health by analyzing food records Akihisa Ishino, Hiroaki Karasawa, Sosuke Amano, Yoko Yamakata, Kiyoharu Aizawa (UTokyo)  LOIS2020-10 IE2020-22 EMM2020-34 |
[more] | LOIS2020-10 IE2020-22 EMM2020-34 pp.31-36 |
| PRMU, IPSJ-CVIM | 2020-03-16 11:00 |
Kyoto | [Short Paper]
Few-shot Character Image Generation with Deep Metric Learning Haruka Aoki, Koki Tsubota, Hikaru Ikuta, Kiyoharu Aizawa (Tokyo Univ.) PRMU2019-66 |
(To be available after the conference date) [more] | PRMU2019-66 pp.11-12 |
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| PRMU, IPSJ-CVIM | 2020-03-16 11:10 |
Kyoto | [Short Paper]
Video Inpainting by Frame Alignment with Deformable Convolution Yusuke Hara, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) PRMU2019-67 |
(To be available after the conference date) [more] | PRMU2019-67 pp.13-14 |
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| PRMU, IPSJ-CVIM | 2020-03-16 15:10 |
Kyoto | [Short Paper]
Feature Point Matching by Cycle Consistency Naoaki Noguchi, Furuta Ryosuke, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) PRMU2019-74 |
(To be available after the conference date) [more] | PRMU2019-74 pp.51-52 |
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| PRMU, IPSJ-CVIM | 2020-03-16 16:35 |
Kyoto | [Short Paper]
Correspondence of 360 degree video with distorted floor map and provision of 3D information Jack Chen, Naoki Sugimoto, Satoshi Ikehata, Kiyoharu Aizawa (Tokyo Univ.) PRMU2019-81 |
(To be available after the conference date) [more] | PRMU2019-81 pp.85-86 |
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| PRMU, IPSJ-CVIM | 2020-03-16 16:20 |
Kyoto | [Short Paper]
Aleatoric Uncertainty Estimation Based on Separate Formulation Takumi Kawashima, Qing Yu (Tokyo Univ.), Akari Asai (.UW), Daiki Ikami (NTT/Tokyo Univ.), Kiyoharu Aizawa (Tokyo Univ.) PRMU2019-84 |
(To be available after the conference date) [more] | PRMU2019-84 pp.99-100 |
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| LOIS | 2020-03-12 09:50 |
Okinawa | Nobumoto Ohama Memorial Hall | Analysis of meal records for understanding eating habits using large-scale recipe dataset Miyuki Kawarada, Hiroaki Karasawa (UT), Misako Sakamoto (DAH), Sosuke Amano (foo.log), Yoko Yamakata, Kiyoharu Aizawa (UT) LOIS2019-70 |
Nutrition management is very important for athletes, but difficult for amateur athletes who are not supervised by a diet... [more] | LOIS2019-70 pp.79-84 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 09:20 |
Fukuoka | Kyushu Institute of Technology | Self-Play Reinforcement Learning for Fast Image Retargeting Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2019-40 IE2019-122 MVE2019-61 |
We address image retargeting, which is a task of adjusting input images into arbitrary sizes. In a previous method, they... [more] | IMQ2019-40 IE2019-122 MVE2019-61 pp.127-131 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 09:45 |
Fukuoka | Kyushu Institute of Technology | Predicting the online video advertising effectiveness with multimodal deep learning Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2019-41 IE2019-123 MVE2019-62 |
In this research, we propose a method for predicting the Click Through Rate of video ads and analyzing the factors that ... [more] | IMQ2019-41 IE2019-123 MVE2019-62 pp.133-136 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 11:10 |
Fukuoka | Kyushu Institute of Technology | Hairstyle Recommendation Considering Facial Attractiveness Yuto Nakamae, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) IMQ2019-44 IE2019-126 MVE2019-65 |
(To be available after the conference date) [more] | IMQ2019-44 IE2019-126 MVE2019-65 pp.145-150 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:15 |
Hokkaido | Hokkaido Univ. | Translation from Line Drawings to Manga Using Deep Learning by Adding a Screentone Layer Koki Tsubota, Daiki Ikami, Kiyoharu Aizawa (UTokyo) ITS2019-38 IE2019-76 |
The translation from line drawings to manga is one of the processes for creating manga and the automation of this proces... [more] | ITS2019-38 IE2019-76 pp.201-206 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 15:55 |
Hokkaido | Hokkaido Univ. | Learning Structural Edges for Deep Patch Depth Prediction Masaya Kaneko (The Univ. of Tokyo), Ken Sakurada (AIST), Satoshi Ikehata (NII), Kiyoharu Aizawa (The Univ. of Tokyo) ITS2019-44 IE2019-82 |
[more] | ITS2019-44 IE2019-82 pp.233-238 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-28 15:40 |
Hokkaido | Hokkaido Univ. | Multi-Task Curriculum Learning for Open-Set Semi-Supervised Recognition Qing Yu (Tokyo Univ.), Go Irie (NTT), Kiyoharu Aizawa (Tokyo Univ.) ITS2019-54 IE2019-92 |
[more] | ITS2019-54 IE2019-92 pp.323-328 |
| LOIS, IPSJ-DC | 2019-07-17 14:00 |
Ibaraki | Center for Computational Sciences, University of Tsukuba | Athlete diet analysis based on large scale recipe data and text-based diet records Miyuki Kawarada, Hiroaki Karasawa (UT), Misako Sakamoto (DAH), Sosuke Amano (foo.log), Yoko Yamakata, Kiyoharu Aizawa (UT) LOIS2019-2 |
For athletes, food management is very important for improving performance and maintaining the condition. However, it is ... [more] | LOIS2019-2 pp.1-6 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 13:50 |
Kagoshima | Kagoshima University | Aspect-Ratio-Preserving Multi-Patch Image Aesthetic Score Prediction. Lijie Wang, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2018-37 IE2018-121 MVE2018-68 |
According to the spread of Social Networking Services (SNS), there is the increasing demand for automatically selecting,... [more] | IMQ2018-37 IE2018-121 MVE2018-68 pp.85-90 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 16:10 |
Kagoshima | Kagoshima University | DNN-Based Click Through Rate Prediction Using Visual and Textual Features of Online Banners Bohui Xia, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo), Hiroyuki Seshime (Septeni) IMQ2018-46 IE2018-130 MVE2018-77 |
[more] | IMQ2018-46 IE2018-130 MVE2018-77 pp.137-142 |
| EMM | 2019-03-13 16:25 |
Okinawa | TBD | Improving the robusteness of neural networks to adversarial examples by reducing color depth of training inage data Shuntaro Miyazato, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) EMM2018-109 |
In this research, we propose a method to train a neural network that is robust to adversarial examples to image classifi... [more] | EMM2018-109 pp.95-100 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-19 14:45 |
Hokkaido | Hokkaido Univ. | Data Augmentation via Transformer and Diverse QA Generation for Visual Question Answering Masao Tsukiyama, Daiki Ikami (Tokyo Univ.), Go Irie (NTT), Kiyoharu Aizawa (Tokyo Univ.) ITS2018-68 IE2018-89 |
[more] | ITS2018-68 IE2018-89 pp.91-96 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-19 15:00 |
Hokkaido | Hokkaido Univ. | ITS2018-69 IE2018-90 |
[more] | ITS2018-69 IE2018-90 pp.97-102 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-19 15:15 |
Hokkaido | Hokkaido Univ. | ITS2018-70 IE2018-91 |
(To be available after the conference date) [more] | ITS2018-70 IE2018-91 pp.103-108 |
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