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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 125  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2021-03-05
15:40
Online Online An approach for predicting traffic accidents at intersections with 360 degree panorama images
Daiki Tanaka, Kiyoharu Aizawa (The Univ. of Tokyo) PRMU2020-97
In this study, we used deep learning to predict traffic accidents. Traffic accidents are caused by a complex combination... [more] PRMU2020-97
pp.158-163
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
14:25
Online Online Intersect Prediction of 360 Degree Videos for Movie Map
Naoki Sugimoto (Tokyo Univ.), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.)
For the construction of Movie Map, which is an interface that combines a moving on the map and interactions on the playi... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
17:05
Online Online Design Creation with GAN using features that reflect Shape and Material
Shun Matsumura, Kiyoharu Aizawa (UTokyo), Atsushi Honda, Seiji Kurokoshi (DIGISEARCH) ITS2020-34 IE2020-48
When designers create a new design, they often refer to the existing design of shapes and materials to create a new desi... [more] ITS2020-34 IE2020-48
pp.43-48
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
(Cancelled but technical report was issued)
[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
PRMU, IPSJ-CVIM 2020-03-16
11:10
Kyoto
(Cancelled but technical report was issued)
[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
PRMU, IPSJ-CVIM 2020-03-16
15:10
Kyoto
(Cancelled but technical report was issued)
[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
PRMU, IPSJ-CVIM 2020-03-16
16:35
Kyoto
(Cancelled but technical report was issued)
[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
PRMU, IPSJ-CVIM 2020-03-16
16:20
Kyoto
(Cancelled but technical report was issued)
[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
LOIS 2020-03-12
09:50
Okinawa Nobumoto Ohama Memorial Hall
(Cancelled but technical report was issued)
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
(Cancelled but technical report was issued)
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
(Cancelled but technical report was issued)
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
(Cancelled but technical report was issued)
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.
(Cancelled but technical report was issued)
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.
(Cancelled but technical report was issued)
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.
(Cancelled but technical report was issued)
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
 Results 1 - 20 of 125  /  [Next]  
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