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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 156  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP, ITE-HI, VRPSY, ASJ-H [detail] 2024-02-22
Okinawa   Investigating the Perception of Facial Anonymization Techniques in 360° Videos
Leslie Woehler (Tokyo Univ. JSPS), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.) HIP2023-98
 [more] HIP2023-98
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
Hokkaido Hokkaido Univ. Learning static NeRF representations by removing moving objects in urban scenes
Takashi Otonari (UTokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (UTokyo)
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
Hokkaido Hokkaido Univ. Audio effect on the viewing experience of 360-degree video
Hayaoki Matsumoto (UTokyo), Leslie Woehler (UTokyo/JSPS), Satoshi Ikehata (NII), Kiyoharu Aizawa (UTokyo)
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
Hokkaido Hokkaido Univ. CLIP-based Zero-shot In-Distribution Detection
Atsuyuki Miyai, Qing Yu (UTokyo), Go Irie (TUS), Kiyoharu Aizawa (UTokyo) ITS2023-53 IE2023-42
Extracting in-distribution (ID) images from noisy images scraped from the Internet is an important preprocessing for con... [more] ITS2023-53 IE2023-42
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
Hokkaido Hokkaido Univ. Image Recognition-Based Ingredients Input Support for Food Nutrition Calculation
Liangyu Wang, Yoko Yamakata, Kiyoharu Aizawa (UTokyo) ITS2023-54 IE2023-43
Contemporary nutrition tracking applications often rely on standard nutrient databases, overlooking the specific ingredi... [more] ITS2023-54 IE2023-43
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
Hokkaido Hokkaido Univ. Initial Image Editing for Layout-to-Image Synthesis in Diffusion Model
Jiafeng Mao (The Univ. of Tokyo), Xueting Wang (CyberAgent), Kiyoharu Aizawa (The Univ. of Tokyo) ITS2023-63 IE2023-52
 [more] ITS2023-63 IE2023-52
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
Hokkaido Hokkaido Univ. Image Generation Modification with Diffusion Model through Sketch Guidance
Sandra Zhang Ding, Jiafeng Mao, Kiyoharu Aizawa (UTokyo) ITS2023-64 IE2023-53
Large-scale image generation models have demonstrated their remarkable ability to generate diverse, high-quality images.... [more] ITS2023-64 IE2023-53
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.) PRMU2023-7
In this paper, we tackle the problem of extracting static backgrounds from videos containing moving objects, such as peo... [more] PRMU2023-7
PRMU, IPSJ-CVIM 2023-05-19
(Primary: On-site, Secondary: Online)
Incorporating Signed Distance Fields to Improve Text-to-3D Generation
Zhuofan Sun, Daichi Horita (Univ. of Tokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (Univ. of Tokyo) PRMU2023-9
Frameworks for generating 3D objects from text description have been proposed in recent years. These frameworks utilize ... [more] PRMU2023-9
(Joint) [detail]
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Measuring the impact of 360-degree video on users' viewing experience
Hayaoki Matsumoto, Mizuki Takenawa (UTokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (UTokyo) 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
 Results 1 - 20 of 156  /  [Next]  
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