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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS 2023-05-18
17:35
Okinawa Okinawa Institute of Science and Technology (OIST)
(Primary: On-site, Secondary: Online)
Wireless Signal-guided Image Inpainting with Attention Mechanism
Cheng Chen, Shoki Ohta, Takayuki Nishio (Tokyo Tech), Mehdi Bennis (Univ. Oulu), Jihong Park (Deakin Univ.), Mohamed Wahib (RIKEN) SeMI2023-6
This paper proposes a novel image inpainting method that combines channel state information (CSI) and transformer archit... [more] SeMI2023-6
pp.23-25
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
14:05
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Study on Image Inpainting Considering Local Appearance Consistency
Tianxiang Zhang, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-77 IE2022-154 MVE2022-107
This paper proposes an image inpainting method which can preserve the local appearance consistency of reconstructed imag... [more] IMQ2022-77 IE2022-154 MVE2022-107
pp.296-301
ET 2023-03-14
14:35
Tokushima Tokushima University
(Primary: On-site, Secondary: Online)
Mountaineering Hazard Prediction Training using locally editting videos
Masaya Abe (Nihon Univ), Satoshi Shimad (Nihon Univ.) ET2022-72
(To be available after the conference date) [more] ET2022-72
pp.79-84
NC, MBE
(Joint)
2023-03-14
16:15
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Generation and inpainting of Kuzushiji image data using Boltzmann Machines
Hiroki Ikoma (NAIST), Mauricio Bermudez, Minho Lee (KNU), Kazushi Ikeda (NAIST) NC2022-108
It is almost impossible for the average person to read Kuzushiji today. For this reason, there is a need to develop tool... [more] NC2022-108
pp.94-98
MI 2023-03-07
16:13
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Classification of endoscope images with specular reflection using CNN
Shun Katsuyama, Masashi Fujii (Tottori Univ.), Kazutake Uehara (Yonago Coll.), Masaru Ueki, Hajime Isomoto, Katsuya Kondo (Tottori Univ.) MI2022-123
The endoscopic training system is required that checks whether the inspection points have been taken. In this report, we... [more] MI2022-123
pp.199-204
SeMI, SeMI
(Joint)
2023-01-19
15:25
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] Multimodal Image Inpainting Using Camera Imagery and WiFi RSSI
Cheng Chen, Takayuki Nishio (Tokyo Tech), Mehdi Bennis (Oulu Univ.), Jihong Park (Deakin Univ.) SeMI2022-83
This study demonstrates the feasibility of image inpainting using both visual information and radio frequency (RF) signa... [more] SeMI2022-83
pp.51-53
PRMU 2022-12-15
10:30
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
Single Image Raindrop Removal Using a Non-local Operator and Feature Maps in the Frequency Domain
Shinya Ezumi, Masaaki Ikehara (Keio Univ.) PRMU2022-34
High-quality raindrop removal is desired for outdoor image processing systems as well as for acquiring good-looking imag... [more] PRMU2022-34
pp.13-18
MICT, MI 2022-11-18
14:00
Aichi Nagoya Institute of Technology Extrapolation of partial X-ray image for prediction of whole body musculoskeletal structure
Weiqi Zhang, Yi Gu, Yoshito Otake, Soufi Mazen (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Toshiaki Akashi (Juntendo Univ), Kensaku Mori (Nagoya Univ/NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MICT2022-38 MI2022-67
Image defects and partial disorders are common problems in medical imaging. Image inpainting and extrapolation are helpf... [more] MICT2022-38 MI2022-67
pp.24-28
PRMU 2022-09-14
15:45
Kanagawa
(Primary: On-site, Secondary: Online)
Human Pose Transfer with Reduced Color Transfer by Occlusion for Person Re-Identification
Masaki Kishibe, Toshikazu Wada (Wakayama Univ.) PRMU2022-15
Human pose transfer is the task that transforms a person image from the source pose to a given target pose, and is usefu... [more] PRMU2022-15
pp.31-36
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
15:00
Online Online (Zoom) [Special Talk] Lossless Image Coding using Inpainting-Oriented Deep Pixel Predictor
Keita Takahashi (Nagoya Univ.) IMQ2021-31 CQ2021-122 IE2021-93 MVE2021-60
I will be presenting our previous paper that received IE special Award 2020 to encourage discussions for future directio... [more] IMQ2021-31 CQ2021-122 IE2021-93 MVE2021-60
p.114(IMQ), p.124(CQ), p.114(IE), p.114(MVE)
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
17:40
Online Online (Zoom) Diminished Reality for Objects on a Plane Using Depth Camera
Kazutaka Kiuchi, Norihiko Kawai (OIT) IMQ2021-46 IE2021-108 MVE2021-75
Diminished Reality (DR) is a technology that removes unwanted parts of an image in real time. This technology is based o... [more] IMQ2021-46 IE2021-108 MVE2021-75
pp.187-192
CQ, IMQ, MVE, IE
(Joint) [detail]
2022-03-10
18:05
Online Online (Zoom) Diminished reality that combines observation and inpainting based methods
Taiki Kato, Naoya Isoyama (Naist), Norihiko Kawai (Oit), Hideaki Uchiyama (Naist), Nobuchika Sakata (Ryukoku Univ.), Kiyoshi Kiyokawa (Naist) IMQ2021-47 IE2021-109 MVE2021-76
In contrast to Augmented Reality (AR), which visually adds objects to the real world, there is a technology called Dimin... [more] IMQ2021-47 IE2021-109 MVE2021-76
pp.193-198
EMM 2022-03-07
14:45
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] A Melody Generation Method based on An Image Representation of Monophonic Melodies as Rectangle Sequences and Image Inpainting.
Yudai Ono, Hirohisa Hioki (Kyoto Univ.) EMM2021-98
We propose a method for generating monophonic melodies that are similar to those in a music dataset. Our method takes a ... [more] EMM2021-98
pp.34-39
EMM 2021-03-04
13:30
Online Online [Poster Presentation] Object Boundary Correction for Monocular Depth Estimation Using Region Segmentation
Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2020-67
We propose a new method to generate high-quality depth images in this paper. The proposed method corrects object boundar... [more] EMM2020-67
pp.1-6
EMM 2021-03-04
15:00
Online Online [Poster Presentation] A Separation Method for Handwritings and Printed Texts on Documents as a Preprocessing Filter for OCR
Ryotaro Sakurai, Hirohisa Hioki (Kyoto Univ.) EMM2020-73
In applying OCR to documents with handwritings, printed texts and handwritings have to be separated from each other. We ... [more] EMM2020-73
pp.34-39
PRMU, IPSJ-CVIM 2021-03-04
10:30
Online Online Learning Convolutional Neural Networks with Spatial Frequency Loss
Naoyuki Ichimura (AIST) PRMU2020-73
The pixel-wise L2 and pixel-wise L1 losses have been commonly used to measure the consistency between images in learning... [more] PRMU2020-73
pp.25-30
IE 2021-01-21
13:00
Online Online Comparing Pixel Predictors with Different Coding Order for Lossless Image Coding
Aki Kunieda, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IE2020-34
The efficiency of lossless image coding depends on the pixel predictors, with which unknown pixels are predicted from al... [more] IE2020-34
pp.1-6
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
13:45
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
Zero-Shot Conditional Inpainting
Naoki Kato, Toshihiko Yamasaki (UTokyo) ITS2019-36 IE2019-74
Image processing for objects of the unseen classes is sometimes needed, and one of the solutions of that is ``zero-shot ... [more] ITS2019-36 IE2019-74
pp.189-194
AI 2019-09-13
15:50
Kagoshima   AI2019-24 SSTs are essential information for ocean-related industries but are hard to measure. Although multi-spectral imaging sen... [more] AI2019-24
pp.31-36
SIP 2018-08-20
16:00
Tokyo Takushoku Univ. Bunkyo Campus. [Invited Talk] Image and Video Inpainting -- Recent Advances in Inpainting and its Subjective Quality Assessment --
Mariko Isogawa (NTT) SIP2018-61
(To be available after the conference date) [more] SIP2018-61
p.25
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