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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, SP, EA, IPSJ-SLP [detail] | 2024-03-01 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Investigation of objective intelligibility metrics based on speech foundation models for Clarity Prediction Challenge 2 Katsuhiko Yamamoto (CyberAgent)  EA2023-119 SIP2023-166 SP2023-101 |
Speech Foundation Models (SFMs), which use components like the encoder layer of Whisper, have been suggested to separate... [more] | EA2023-119 SIP2023-166 SP2023-101 pp.334-339 |
| SS, MSS | 2024-01-18 15:05 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Development of Management Methods against Inappropriate Data Segments in Bus Passenger OD Estimation using Person Tracking Methods Tsubasa Nishiura, Soichiro Yokoyama, Tomohisa Yamashita, Hidenori Kawamura (Hokkaido Univ.) MSS2023-69 SS2023-48 |
We are advancing the development of a passenger Origin-Destination (OD) estimation system using bus passengerboarding an... [more] | MSS2023-69 SS2023-48 pp.99-104 |
| NC, MBE (Joint) |
2023-03-14 14:45 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Feature Extraction of Grasped Objects for Precise Robot Hand Control using Depth Image Satoshi Katayama, Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2022-105 |
In recent years, development of robots to support people has been promoted. To control a multi-fingered hand robot for e... [more] | NC2022-105 pp.78-83 |
| R | 2023-03-10 15:50 |
Hiroshima | (Primary: On-site, Secondary: Online) |
Search Space Reduction using Neighborhood in Genetic Algorithm Natsumi Takahashi, Tetsushi Yuge (NDA), Tomoaki Akiba (CIT) R2022-54 |
In this study, we consider two-objective network design problem with all-terminal reliability and construction costs. Th... [more] | R2022-54 pp.37-40 |
| 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 11:30 |
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 |
| 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 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-30 10:20 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Deep Learning-based Hierarchical Object Detection System for High-Resolution Images Yusei Horikawa, Makoto Sugaya, Renpei Yoshida, Kazuma Mashiko, Tetsuya Matsumura (Nihon Univ.) VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 |
This paper describes a new deep learning-based hierarchical object detection algorithm for high-resolution vision sensor... [more] | VLD2022-44 ICD2022-61 DC2022-60 RECONF2022-67 pp.144-149 |
| IE | 2022-01-24 10:00 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Ensemble learning for road damage detection Naoki Wada, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) IE2021-30 |
As most of the roads in Japan are approaching the renewal stage, there is a need for automatic detection of road damages... [more] | IE2021-30 pp.15-20 |
| PRMU | 2021-12-16 14:45 |
Online | Online | Unsupervised Logo Detection Using Adversarial Learning from Synthetic to Real Images Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xiang Ruan (tiwaki), Yen-Wei Chen (Ritsumeikan Univ.) PRMU2021-31 |
Most of the existing deep learning based logo detection methods typically use a large amount of annotated training data,... [more] | PRMU2021-31 pp.43-44 |
| MIKA (3rd) |
2021-10-28 10:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on An Object Detection Scheme Using Sequential Channel State Information in Wireless LAN Systems Kazuki Noguchi, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) |
Various object detection schemes utilizing channel state information (CSI) in wireless local area network (WLAN) system... [more] |
|
| AP | 2021-10-07 14:25 |
Online | Online | [Poster Presentation]
A Study on Modeling Method of Surrounding Objects with RCS in FDTD Method Kohei Nono, Mitoshi Fujimoto (Univ. of Fukui), Ryo Yamaguchi, Kazuma Tomimoto (SB) AP2021-94 |
To achieve single-frequency Full-Duplex communication, self-interference rejection of about 110 dB is required, which ha... [more] | AP2021-94 pp.102-103 |
| RCS | 2021-06-25 09:30 |
Online | Online | Experimental Evaluation of Frequency-domain Feature Selection for CSI-based Object Detection in Wireless LAN Systems Kazuki Noguchi, Osamu Muta (Kyushu Univ.), Tomoki Murakami, Shinya Otsuki (former NTT) RCS2021-64 |
Various object detection schemes utilizing channel state information (CSI) in wireless local area network (WLAN) system... [more] |
RCS2021-64 pp.202-207 |
| PRMU, IPSJ-CVIM | 2021-03-05 14:40 |
Online | Online | Retrieving Interesting Planetary Images based on Captions Hiya Roy, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2020-95 |
Planetary images are collected by sophisticated imaging devices onboard the orbiting or roving spacecraft. As the number... [more] | PRMU2020-95 pp.151-156 |
| NC, NLP (Joint) |
2021-01-22 10:05 |
Online | Online | Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2020-36 |
Object recognition and object grasping using image recognition methods have been actively researched, but most of them c... [more] | NC2020-36 pp.24-28 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2020-02-27 17:00 |
Kagoshima | Yoron-cho Chuou-Kouminkan | HLS by multi-objective optimization under resource constraints
-- Approach to extracting coarse-grained parallelism using functional language -- Fukuhei Hamazaki, Tetsuro Yamazaki, Ryota Shioya (U-Tokyo), Kenichi Koizumi, Hiroshi Tezuka, Mary Inaba (U-Tokyo) CPSY2019-104 DC2019-110 |
For engineers who are not familiar with circuits, it is difficult to optimize circuit considering trade-off factors such... [more] | CPSY2019-104 DC2019-110 pp.99-104 |
| MI | 2020-01-30 15:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | Detection and Classification of Cervical Intraepithelial Lesions using Deep Learning Margaret Manalo, Kota Aoki, Yutaka Ueda, Yu Ito, Yasushi Yagi (Osaka Univ.) MI2019-121 |
Cervical cancer remains to have high occurrence and mortality rates in less developed regions due to the lack of diagnos... [more] | MI2019-121 pp.237-242 |
| HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima | Hiroshima-ken Joho Plaza (Hiroshima) | Visualization of conceptual model of cooking workspace Ryutaro Hama, Azusa Saito, Yukari Takaku (LIXIL), Atsushi Hashimoto (Omron Sinic X) |
This paper proposes a method for visualizing and analyzing conceptual models of cooking space in kitchen. We hypothesi... [more] |
|
| PRMU, MI, IPSJ-CVIM [detail] | 2019-09-05 13:40 |
Okayama | A method for visualizing the cause of misrecognition in object recognition using CNN Tomonori Kubota (Fujitsu Lab.), Yasuyuki Murata (FST), Yoshifumi Uehara, Akira Nakagawa (Fujitsu Lab.) PRMU2019-25 MI2019-44 |
In this paper, we propose a method for visualizing the cause of misrecognition in object recognition using CNN. By this ... [more] | PRMU2019-25 MI2019-44 pp.99-104 |
|
| R | 2019-07-26 14:50 |
Iwate | Ichinoseki Cultural Center | Bi-objective Reliable Network Design with Genetic Algorithm Natsumi Takahashi (Aoyama Gakuin Univ.), Tomoaki Akiba (Chiba Inst. of Tech.), Hisahi Yamamoto (Tokyo Metropolitan Univ.), Takashi Shinzato (Tamagawa Univ.) R2019-16 |
In this study, we consider two-objective network design problem with all-terminal reliability and construction costs. Th... [more] | R2019-16 pp.13-18 |
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