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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-19 10:30 |
Hokkaido | Hokkaido Univ. | A Proposal of an Automatic Power Line Removal Method on Images Using Semantic Segmentation and U-Net Trained by the Semantics Touma Saito, Kazunori Uruma (Kogakuin Univ.)  ITS2023-46 IE2023-35 |
In recent years, image processing technology and hardware performance have improved, making it possible to easily proces... [more] | ITS2023-46 IE2023-35 pp.1-6 |
| HCS, CNR | 2023-11-06 10:50 |
Tokyo | Kogakuin University (Primary: On-site, Secondary: Online) |
Missing depth compensation based on the characteristics of the RGB-D sensor Tsubasa Murasato, Prima Oky Dicky Ardiansyah (Iwate Prefectural Univ.) CNR2023-21 HCS2023-83 |
The recent development of a variety of RGB-D cameras has made it possible to generate 3D images for 3D object recognitio... [more] | CNR2023-21 HCS2023-83 pp.77-81 |
| AI | 2023-09-12 15:55 |
Hokkaido | Estimation of unmasked face images based on voice and 3DMM Tetsumaru Akatsuka, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-32 |
Facemasks have become common due to the COVID-19 pandemic. They have begun to affect security and identification systems... [more] | AI2023-32 pp.187-193 |
|
| 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 |
| 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 | 2022-09-14 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 |
| PRMU, IPSJ-CVIM | 2020-03-16 11:10 |
Kyoto | (Cancelled but technical report was issued) |
[Short Paper]
Video Inpainting by Frame Alignment with Deformable Convolution Yusuke Hara, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) PRMU2019-67 |
(To be available after the conference date) [more] | PRMU2019-67 pp.13-14 |
| 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 |
| 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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