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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 121件中 1~20件目  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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.)
(To be available after the conference date) [more]
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)
(To be available after the conference date) [more]
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)
(To be available after the conference date) [more]
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.)
(To be available after the conference date) [more]
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.)
(To be available after the conference date) [more]
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)
(To be available after the conference date) [more]
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
09:20
Fukuoka Kyushu Institute of Technology [Short Paper] Self-Play Reinforcement Learning for Fast Image Retargeting
Nobukatsu Kajiura, Satoshi Kosugi, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo)
(To be available after the conference date) [more]
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
09:45
Fukuoka Kyushu Institute of Technology [Short Paper] Predicting the online video advertising effectiveness with multimodal deep learning
Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo)
(To be available after the conference date) [more]
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
11:10
Fukuoka Kyushu Institute of Technology [Short Paper] Hairstyle Recommendation Considering Facial Attractiveness
Yuto Nakamae, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UT)
(To be available after the conference date) [more]
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
(To be available after the conference date) [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
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-19
16:00
Hokkaido Hokkaido Univ. A Study on Vectorizing Diet Preferences based on Large Foodlogging Data and DNN model
Yuji Goda (UTokyo), Sosuke Amano (foo.log Inc.), Yoko Yamakata, Kiyoharu Aizawa (UTokyo)
In usual dietary management, dieticians use the food logs to see one’s wellness. However, this method is not handy for o... [more]
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