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 |