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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 149  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM 2023-05-19
(Primary: On-site, Secondary: Online)
Learning static NeRF representations from video using 2D segmentation masks
Takashi Otonari (Tokyo Univ.), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.)
PRMU, IPSJ-CVIM 2023-05-19
(Primary: On-site, Secondary: Online)
Integrating Signed Distance Fields into Text-to-3D Generation
Zhuofan Sun, Daichi Horita (Univ. of Tokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (Univ. of Tokyo)
(Joint) [detail]
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Measuring the impact of 360° video on users' viewing experience
Hayaoki Matsumoto, Mizuki Takenawa, Kiyoharu Aizawa (UTokyo), Satoshi Ikehata (NII) IMQ2022-38 IE2022-115 MVE2022-68
Recently, the use of 360-degree contents has been increasing in various fields, such as tourism. The use of 360-degree v... [more] IMQ2022-38 IE2022-115 MVE2022-68
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Comic Speaker Detection and Estimation using Scene Graph
Yingxuan Li, Kiyoharu Aizawa, Yusuke Matsui (UTokyo) PRMU2022-120 IBISML2022-127
For the understanding of comics, there is a need to link the comic text to the speaker automatically. Since traditional ... [more] PRMU2022-120 IBISML2022-127
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
Hokkaido Hokkaido Univ. Text - Image Fashion Retrieval with Textural Features
Daichi Suzuki (Tokyo Univ.), Go Irie (Tokyo Univ of Science), Kiyoharu Aizawa (Tokyo Univ.) ITS2022-43 IE2022-60
In this study, we propose a method of pre-processing on a dataset and deep learning to perform fashion retrieval conside... [more] ITS2022-43 IE2022-60
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
Hokkaido Hokkaido Univ. Constructing an ingredient classification model for automatic calculation of nutritional value and environmental impact from user-generated recipes
Yoko Yamakata, Liangyu Wang (UTokyo), Eiji Yamasue (Rits), Akiko Sunto (KUHS), Kiyoharu Aizawa (UTokyo) ITS2022-48 IE2022-65
In order to calculate rough nutritional values from recipes, this paper proposes a method to link the list of ingredient... [more] ITS2022-48 IE2022-65
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
Hokkaido Hokkaido Univ. Semi-automatic dataset construction from user-generated recipes for image recognition based dietary assessment
Liangyu Wang, Yoko Yamakata (Utokyo), Akiko Sunto (Kanagawa Univ. of Human Services), Kiyoharu Aizawa (Utokyo) ITS2022-49 IE2022-66
 [more] ITS2022-49 IE2022-66
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
Hokkaido Hokkaido Univ. Automatic generation of eating order reports from first-person eating videos
Kenshiro Sato, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2022-50 IE2022-67
By automatically generating meal reports used by dietitians for dietary guidance from video footage of meals recorded by... [more] ITS2022-50 IE2022-67
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
Hokkaido Hokkaido Univ. Prediction of mental state from food images
Kei Nakamoto (The Univ. of Tokyo), Sosuke Amano (foo.log), Hiroaki Karasawa (Hongo Software Development), Yoko Yamakata, Kiyoharu Aizawa (The Univ. of Tokyo) ITS2022-51 IE2022-68
 [more] ITS2022-51 IE2022-68
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
Hokkaido Hokkaido Univ. A Study on Adaptation Methods for Universal Deep Image Compression
Koki Tsubota, Kiyoharu Aizawa (UTokyo) ITS2022-56 IE2022-73
In this study, we tackle universal deep image compression, which aims to compress images in arbitrary domains such as li... [more] ITS2022-56 IE2022-73
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
Hokkaido Hokkaido Univ. ITS2022-60 IE2022-77 Unsupervised domain adaptation (UDA) is extremely effective for transferring knowledge from a label-rich source domain t... [more] ITS2022-60 IE2022-77
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
Hokkaido Hokkaido Univ. Discussion and user study of displaying 360-degree video that follows RoI
Yuuki Sawabe (UTokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (UTokyo) ITS2022-63 IE2022-80
Although 360° video images contain information in all directions, the user's viewing angle is limited, resulting in over... [more] ITS2022-63 IE2022-80
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
Hokkaido Hokkaido Univ. Evaluation Metrics Using Object Detection for Visible and Infrared Image Fusion
Jihun Kang, Daichi Horita, Kiyoharu Aizawa (UTokyo) ITS2022-64 IE2022-81
We propose a new evaluation measure for the fusion images between visible and infrared images using object detection foc... [more] ITS2022-64 IE2022-81
PRMU, IPSJ-CVIM 2022-03-11
Online Online Extended Panel Detection and Pixel-Wise Segmentation for Comic Editing
Runtian Yu, Hikaru Ikuta, Yusuke Matsui, Kiyoharu Aizawa (UTokyo) PRMU2021-88
Comic panel extraction plays a significant role in various tasks such as comic editing. In this research, we first defin... [more] PRMU2021-88
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online RecipeLog: Input interface for multimedia recipes with structured instructions
Akihisa Ishino, Yoko Yamakata (UTokyo), Hiroaki Karasawa (HSD), Sousuke Amano (foo.log), Kiyoharu Aizawa (UTokyo)
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online Illustration author style translation using SailormoonRedraw data
Keita Awane, Daichi Horita, Hikaru Ikuta, Yusuke Matsui (UTokyo), Naohiro Yanase (BOOK WALKER), Kiyoharu Aizawa (UTokyo) ITS2021-26 IE2021-35
The author characteristics of illustrations can be divided into two elements: "what to draw" and "how to draw". The latt... [more] ITS2021-26 IE2021-35
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online ITS2021-28 IE2021-37 The dynamic range of electronic imaging is orders of magnitudes smaller than that of human vision. To obtain images of h... [more] ITS2021-28 IE2021-37
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online Domain Incremental Leaning with Adaptive Loss Functions
Takumi Kawashima (UTokyo), Go Irie, Daiki Ikami (NTT), Kiyoharu Aizawa (UTokyo) ITS2021-30 IE2021-39
During domain incremental learning of image classification task, the distribution of images continually change, and mode... [more] ITS2021-30 IE2021-39
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online Towards Universal Deep Image Compression
Koki Tsubota (UTokyo), Hiroaki Akutsu (Hitachi), Kiyoharu Aizawa (UTokyo) ITS2021-31 IE2021-40
In this paper, we investigate deep image compression towards universal usage. In image compression, it is desirable to b... [more] ITS2021-31 IE2021-40
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
Online Online ITS2021-46 IE2021-55 There has been a tremendous progress in unsupervised domain adaptation (UDA), which aims to transfer knowledge acquired ... [more] ITS2021-46 IE2021-55
 Results 1 - 20 of 149  /  [Next]  
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