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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2024-05-16 09:45 |
Tokyo | (Primary: On-site, Secondary: Online) |
Development and evaluation of a video segmentation model using differences between frames Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano (Toyo Univ)  PRMU2024-3 |
(To be available after the conference date) [more] | PRMU2024-3 pp.13-17 |
| NC, MBE (Joint) |
2024-03-12 11:40 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Generalization Model of Monkey V4 Neurons based on FCN encoder Tsubasa Saito, Taisei Hara, Ko Sakai (Univ. of Tsukuba) NC2023-54 |
The V4 field in the ventral visual pathway is situated as an intermediary region processing visual information crucial f... [more] | NC2023-54 pp.65-68 |
| MI | 2024-03-03 09:53 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Deep Learning based Objective Microscopic Agglutination Test Risa Nakano, Yuji Oyamada (Tottori Univ.), Ryo Ozuru (Fukuoka Univ.) MI2023-34 |
This paper aims to achieve objective justification of decision criteria in Microscopic Agglutination Test (MAT), which i... [more] | MI2023-34 pp.15-18 |
| ICTSSL, CAS | 2024-01-25 10:20 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Using Deep Learning to Recognize and Determine the State of Snow on LED Traffic Signals Regardless of the Outside Environment and Its Application Megumi Matsuzaka, Tsubasa Saito, Yuichi Sato (Akita Univ.) CAS2023-84 ICTSSL2023-37 |
Currently, the use of LEDs in traffic signals is being promoted for various advantages. However, due to the characterist... [more] | CAS2023-84 ICTSSL2023-37 pp.11-16 |
| MI | 2023-03-07 17:55 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A centerline-based post-processing for detecting intestinal obstructions in CT volumes Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130 |
This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal o... [more] | MI2022-130 pp.223-228 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:30 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Detection of UI parts from web page images utilizing a small amount of data Wataru Aizaki, Sotaro Kato, Yoshihisa Shinozawa (Keio Univ.), Yukako Iimura, Shinobu Saito (NTT) PRMU2022-61 IBISML2022-68 |
The purpose of our research is to devise a method for detecting UI parts in a Web screen. The proposed method consists o... [more] | PRMU2022-61 IBISML2022-68 pp.17-22 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 09:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Unknown Object Segmentation by View Independent Scene Change Detection Li Jiaxin (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) PRMU2022-99 IBISML2022-106 |
Exploring the indoor environment and finding unknown objects that appeared in a scene is important for scene understandi... [more] | PRMU2022-99 IBISML2022-106 pp.211-216 |
| IN, NS (Joint) |
2023-03-03 11:00 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Unidentified Floating Object Detecting Method in Maritime Environment using Efficient GAN Hiromu Habuka, Kohta Ohshima (TUMSAT) NS2022-230 |
(To be available after the conference date) [more] | NS2022-230 pp.362-367 |
| PRMU | 2022-12-15 15:30 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
Training Method for Image-based Instance Segmentation by Video-based Object-Centric Representation Learning Tomokazu Kaneko, Ryosuke Sakai, Soma Shiraishi (NEC) PRMU2022-40 |
Object-centric representation learning (OCRL) aims to separate and extract object-wise representations from an image. ... [more] |
PRMU2022-40 pp.43-48 |
| PRMU, IPSJ-CVIM | 2022-03-11 16:40 |
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 pp.175-179 |
| EMM | 2022-01-27 13:25 |
Online | Online | Access Control Using Feature Map Transformation With Secret Key for Object Detection Models Teru Nagamori, Hiroki Ito, MaungMaung AprilPyone, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-85 |
In this paper, we propose an access control method for object detection models. The use of transformed images or transf... [more] |
EMM2021-85 pp.7-12 |
| CQ, CBE (Joint) |
2022-01-27 16:05 |
Ishikawa | Kanazawa（Ishikawa Pref.） (Primary: On-site, Secondary: Online) |
Proposal and evaluation of 3D-point object estimation method based on probability space representation Hiroaki Sato, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) CQ2021-83 |
New network services are expected to emerge using real spatial information in remote areas. For the advancement of servi... [more] | CQ2021-83 pp.39-44 |
| PRMU, IPSJ-CVIM | 2021-03-05 14:10 |
Online | Online | A Consideration on Suspicious Object Detection by Mixup and Improved U-Net Naruki Kanno, Wataru Kameyama, Toshio Sato, Yutaka Katsuyama, Takuro Sato (Waseda Univ.) PRMU2020-90 |
In this paper, on suspicious object detection by using semantic segmentation, we study the effectiveness of Mixup data a... [more] | PRMU2020-90 pp.121-126 |
| LOIS | 2019-03-08 14:20 |
Okinawa | Miyakojima-shi Central Community Center | Examination of eye-camera image analysis method using Mask R-CNN Yuto Yoshikawa, Yukikazu Murakami (NIT, Kagawa), Kazuaki Shiraishi, Gai Shibahara (NIT,Toba) LOIS2018-76 |
In recent years, opportunities for new farmers to receive direct guidance from experienced farmers have been decreasing ... [more] | LOIS2018-76 pp.121-125 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2018-11-30 14:50 |
Tokushima | Tokushima University (Memorial Hall of Almuni(Engineering)) | Classification of man-made objects and nature-made objects in images using independent component analysis and orientation map Yukihiro Dozono, Yukinori Suzuki (Muroran IT) CS2018-85 IE2018-64 |
Classification of man-made objects and nature-made objects is an essential task in region segmentation of natural images... [more] | CS2018-85 IE2018-64 pp.111-116 |
| MVE | 2017-10-19 11:10 |
Hokkaido | KitamiInstitute of Technology | Proposal of Ego-centric Video Multi-view Interface with Gazed Target-oriented Segmentation for Work Evaluation Yuuki Umezawa, Takatsugu Hirayama, Yu Enokibori, Kenji Mase (Meidai) MVE2017-25 |
In many intellectual tasks, human physical and sensory skills are required and efficient transition of these skills to t... [more] | MVE2017-25 pp.7-12 |
| MVE, ITE-HI | 2017-06-02 16:00 |
Tokyo | Univ. of Tokyo | Fast Image Segmentation for 4K Real-time Video Streaming Hiromu Miyashita, Kouta Takeuchi, Hidenobu Nagata, Akira Ono (NTT) MVE2017-13 |
We aim to extract precise target image such as athletes from video without chroma key. In this paper, we propose a segm... [more] |
MVE2017-13 pp.189-190 |
| EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] | 2016-10-28 13:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg | Object Surface Retexturing System using Perceptual Quality Indexes Yoshimitsu Yamada, Wataru Suzuki, Keita Hirai, Takahiko Horiuchi (Chiba Univ.) EID2016-5 |
This Report presents an intuitive retexturing system for editing object surfaces in images interactively. For the intuit... [more] | EID2016-5 pp.1-4 |
| MVE | 2016-06-02 13:50 |
Iwate | Fast and Accurate Image Segmentation Technique using Multiple Sensors Hiromu Miyashita, Kouta Takeuchi, Mariko Yamaguchi, Hidenobu Nagata, Akira Ono (NTT) MVE2016-1 |
Transporting super high reality of entire live sport game to remote venue, we aim to extract precise target image such ... [more] |
MVE2016-1 pp.17-22 |
|
| IE, CS, IPSJ-AVM, ITE-BCT [detail] | 2015-12-04 09:10 |
Hyogo | High accuracy mesh reconstruction by using geometric information estimated from point clouds and multiview images Maiki Okuwaki (TUS), Hiroshi Ikeoka (FU), Takayuki Hamamoto (TUS) CS2015-67 IE2015-92 |
3D object model from multiview images have been used in various applications such as stereoscopic video and CG, 3D print... [more] | CS2015-67 IE2015-92 pp.77-80 |
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