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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IMQ | 2023-05-19 15:15 |
Tokyo | Seikei Univ. | Judgement of out-of-bounds in basketball by object detection and depth estimation Ryoma Ishida, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoya Univ.)  IMQ2023-1 |
In this report, we propose a system which performs judgements of out-of-bounds in basketball using a monocular camera im... [more] | IMQ2023-1 pp.1-6 |
| SWIM, KBSE | 2023-05-19 14:00 |
Shizuoka | (Primary: On-site, Secondary: Online) |
Group detection method from medium-density crowd using DeepSort and discussion on its accuracy improvement Naojiro Ueno, Hiroyuki Nakagawa (Osaka Univ.), Tomizawa Tetsuo (NITTC), Tatsuhiro Tsuchiya (Osaka Univ.) KBSE2023-1 SWIM2023-1 |
(To be available after the conference date) [more] | KBSE2023-1 SWIM2023-1 pp.1-6 |
| PRMU, IPSJ-CVIM | 2023-05-19 15:25 |
Aichi | (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 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-19 15:00 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Study on Improving the Accuracy of the Growth Determination System Using AI Kotaro Mitani, Tomoyuki Yokogawa, Kazutami Arimoto (Okayama Prefectural Univ) SeMI2023-17 |
Previously, a pineapple growth information determination system was developed using SSD for footage and images taken by ... [more] | SeMI2023-17 pp.76-81 |
| LOIS | 2023-03-13 16:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
Development of a Label Masking System for Plant Specimen Images Using Machine Learning Object Detection Yamato Umetani, Yasuhiko Higaki (Chiba Univ.) LOIS2022-55 |
In order to publish plant specimens as a digital archive, it is necessary to mask labels that include the collection are... [more] | LOIS2022-55 pp.66-71 |
| MI | 2023-03-07 10:25 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automatic generation of time intensity curves using an object detection model in contrast-enhanced endoscopic ultrasonography images of pancreatic tumors Yuma Sugishita, Takeshi Hara (Gifu Univ), Takuji Iwashita (Gifu Univ Hospital), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ) MI2022-108 |
(To be available after the conference date) [more] | MI2022-108 pp.145-147 |
| 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] | 2023-03-02 10:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Investigation of a Method to Obtain Growing Conditions by Object Detection for Cucumber image under Forcing Culture Using IoP Cloud Yuma Usui, Akihiro Tanikawa, Takaya Matsumoto (KUT/Office asoT), Mitsuhiro Osaki, Kazuma Nishiuchi (Citynet), Masahiro Fukumoto (KUT) PRMU2022-70 IBISML2022-77 |
Monitoring of plant growth information is essential for proper environmental control of cucumber cultivation, which aims... [more] | PRMU2022-70 IBISML2022-77 pp.65-70 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 16:50 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Evaluating importance of data quantity and domain diversity for training dataset Eisho Tsuji, Shintatro Takenaga (Univ. Tsukuba/AIST), Masaki Onishi (AIST) PRMU2022-90 IBISML2022-97 |
(To be available after the conference date) [more] | PRMU2022-90 IBISML2022-97 pp.157-162 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Analysis of TV commercial favorability by scene labeling and XAI Kanta Fukuyori, Kunio Matsui (Knazawa Inst.Tech.), Koh Tatsumoto (TOKYO KIKAKU CO.,Ltd.) PRMU2022-116 IBISML2022-123 |
A large amount of money (6 trillion yen) is spent every year to produce TV commercials that advertise companies and thei... [more] | PRMU2022-116 IBISML2022-123 pp.305-310 |
| 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 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 17:10 |
Okinawa | (Primary: On-site, Secondary: Online) |
RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention Tomoki Ikeda, Masaaki Ikehara (Keio Univ.) EA2022-127 SIP2022-171 SP2022-91 |
Salient Object Detection is a task to detect visually significant objects in an image. Conventional methods have proble... [more] | EA2022-127 SIP2022-171 SP2022-91 pp.300-305 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 14:00 |
Hokkaido | Hokkaido Univ. | Hierarchical Minimum-Sized Object Detection Method using Clustering Algorithm for UAV Autonomous Flight Yusei Horikawa, Makoto Sugaya, Tetsuya Matsumura (Nihon Univ) |
This paper describes an efficient minimum-sized object detection method in high-Resolution images for UAV autonomous fli... [more] | |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 11:15 |
Hokkaido | Hokkaido Univ. | Evaluation Metrics Using Object Detection for Visible and Infrared Image Fusion Jihun Kang, Daichi Horita, Kiyoharu Aizawa (UTokyo) ITS2022-64 IE2022-81 |
We propose a new evaluation measure for the fusion images between visible and infrared images using object detection foc... [more] | ITS2022-64 IE2022-81 pp.124-129 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 11:30 |
Hokkaido | Hokkaido Univ. | Implementation of Hierarchical Object Detection Method for Super High-Definition Image Sensing Makoto Sugaya, Yusei Horikawa, Renpei Yoshida, Tetsuya Matsumura (Nihon Univ.) ITS2022-65 IE2022-82 |
In this paper, we propose a hierarchical object detection method for a 4K super-high definition. This method is a three-... [more] | ITS2022-65 IE2022-82 pp.130-135 |
| MVE, IPSJ-CVIM, VRSJ-SIG-MR | 2023-01-26 10:30 |
Nara | Nara Institute of Science and Technology (Primary: On-site, Secondary: Online) |
[Short Paper]
Improved Visual Intention Estimation Model with Object Detection Using YOLO Masakiyo Okuhama, Sho Higa, Koji Yamada (Univ Ryukyu), Shihoko Kamisato (NIT Okinawa College) MVE2022-34 |
There are two types of human eye contact: conscious eye contact and unconscious eye contact. Only conscious eye gaze sho... [more] | MVE2022-34 pp.1-2 |
| MVE, IPSJ-CVIM, VRSJ-SIG-MR | 2023-01-27 10:50 |
Nara | Nara Institute of Science and Technology (Primary: On-site, Secondary: Online) |
Importance ranking estimation of objects in a city scene Yasuhiro Nitta (Keio Univ.), Mariko Isogawa (Keio Univ./Presto), Ryo Yonetani, Maki Sugimoto (Keio Univ.) MVE2022-42 |
Recent studies have been conducted on visual assistance such as object recognition in urban scenes, to assist visually i... [more] | MVE2022-42 pp.43-48 |
| IMQ | 2022-12-16 15:30 |
Chiba | Nishi-Chiba Campus, Chiba Univ. | A Study of Correction Method for Calculation Error of Auscultation Position in Augmented Reality Type Auscultation Training Simulator Yoshito Mikado, keiichiro miura, Hajime Kasai, Shoichi Ito, Asahina Mayumi, Masahiro Tanabe, Yukihiro Nomura, Toshiya Nakaguchi (Chiba Univ.) IMQ2022-17 |
Current auscultation training for healthcare professionals is conducted using a simulated patient and a mannequin for au... [more] | IMQ2022-17 pp.12-15 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Audience Retention Analysis by Object Detection and Saliency Kaoru Okada (Shiga Univ./TVA), Masaaki Iiyama (Shiga Univ.) |
Understanding how to edit videos to keep audiences watching helps video creators edit videos. In this paper, we analyze ... [more] | |
| SIS | 2022-12-05 15:40 |
Osaka | (Primary: On-site, Secondary: Online) |
Accuracy Improvement of Small Object Detection Based on Deep Learning Junya Morioka, Ryusuke Miyamoto (Meiji Univ.) SIS2022-29 |
Various methods based on deep learning have been proposed for object detection, but there is still much room for improvi... [more] | SIS2022-29 pp.32-37 |
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