Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IMQ, HIP |
2024-07-12 14:00 |
Hokkaido |
Satellite Campus, Sapporo City University (Hokkaido) |
Visualization of the shape of the mainsail on a yacht by object detection and keypoint detection Mitsuhiko Miyahara, Tetsuya Matumoto (Nagoya Univ.), Yoshinori Takeuti (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2024-3 HIP2024-34 |
Since yachts are sailed by the force caused by the air pressure difference between the wind passing through the inside a... [more] |
IMQ2024-3 HIP2024-34 pp.1-6 |
PRMU, IPSJ-CVIM |
2023-05-19 15:25 |
Aichi |
(Aichi, Online) (Primary: On-site, Secondary: Online) |
Prompt Learning for Object Detection with Vision-Language Model Mariko Tomariguchi (OKI) PRMU2023-12 |
The two-stage object detection models crop features in the regions where objects are most likely to be to classify the o... [more] |
PRMU2023-12 pp.62-67 |
CS, IE, IPSJ-AVM, ITE-BCT [detail] |
2022-11-24 15:20 |
Aichi |
Nagoya Institute of Technology (Aichi, Online) (Primary: On-site, Secondary: Online) |
Locating the Fruit to Be Harvested and Estimating their Cut Positions from RGBD Images Acquired by a Camera Moved along a Fixed Path Using a Mask-RCNN Based Method Wentao Zhao, Jun Ohya, Chanjin Seo, Takuya Otani, Taiga Tanaka, Koki Masaya, Atsuo Takanishi (Waseda Univ.), Shuntaro Aotake, Masatoshi Funabashi (SONY CSL) CS2022-55 IE2022-43 |
This paper proposes a Mask R-CNN[1] based method for locating fruits (tomatoes and yellow bell peppers, etc.) and estima... [more] |
CS2022-55 IE2022-43 pp.39-44 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:20 |
Online |
Online (Zoom) (Online) |
Extraction of lung regions from chest CT images using deep learning Xinshan He, Takaharu Yamazaki (SIT) IMQ2021-11 IE2021-73 MVE2021-40 |
Accurate extraction of lung regions from chest X-ray images is an essential process for detecting lesions in lung fields... [more] |
IMQ2021-11 IE2021-73 MVE2021-40 pp.7-12 |
LOIS |
2022-03-03 13:00 |
Online |
Online (Online) |
Building a Grape Grain Detection Model for Table Grape Thinning Chisato Matsumoto, Ko Fujimura (Otsuma Women's Univ.) LOIS2021-40 |
This paper addresses the issue of counting grape berries from camera images to support the process of thinning grapes. I... [more] |
LOIS2021-40 pp.1-6 |
MI |
2020-09-03 11:30 |
Online |
Online (Online) |
[Short Paper]
Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.) MI2020-25 |
Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] |
MI2020-25 pp.35-38 |
IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] |
2019-09-19 14:10 |
Niigata |
Tokimeito, Niigata University (Niigata) |
Arata Yokoyama, Taku Okuno (Future Univ Hakodate) LOIS2019-9 IE2019-22 EMM2019-66 |
(To be available after the conference date) [more] |
LOIS2019-9 IE2019-22 EMM2019-66 pp.13-18 |
PRMU, BioX |
2019-03-17 17:00 |
Tokyo |
(Tokyo) |
Detection of overlaping objects using Mask-RCNN Yeongseong Yang, Mutsuo Sano (OIT), Sho Ooi (Ritsumeikan Univ.) |
Object detection technology is essential elements in human support services using robots. The environment in which objec... [more] |
|
LOIS |
2019-03-08 14:20 |
Okinawa |
Miyakojima-shi Central Community Center (Okinawa) |
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 |
MI |
2019-01-23 14:00 |
Okinawa |
(Okinawa) |
Recognizing Surgical Situations in Brain Tumor Removal Surgery Based on Analyzing the Surgeon's Hands' Motion in the Video Sequence Acquired by a Camera Observing the Surgeon's Hand Area Takahiro Horigome, Hiroki Fujie, Keiju Hirata (Waseda Univ.), Ken Masamune (TWMU), Hiroshi Nagahashi (JWU), Jun Ohya (Waseda Univ.) MI2018-109 |
(To be available after the conference date) [more] |
MI2018-109 pp.209-213 |