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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EA | 2024-05-22 15:20 |
Online | Online | Anomaly sound detection of industrial equipment using acoustical features related to timbral attribute Yasuji Ota, Ryoya Ogura, Masashi Unoki (JAIST) |
(To be available after the conference date) [more] | |
| SIP, IT, RCS | 2024-01-19 13:30 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Problem of Adversarial Attacks on CNN-based Image Classifiers and Countermeasures Minoru Kuribayashi (Tohoku Univ.)  IT2023-67 SIP2023-100 RCS2023-242 |
It is well-known that discriminative models based on deep learning techniques may cause misclassification if adversarial... [more] | IT2023-67 SIP2023-100 RCS2023-242 p.204 |
| IA | 2023-11-22 16:25 |
Aomori | Aomori Prefecture Tourist Center ASPM (Aomori) (Primary: On-site, Secondary: Online) |
Improving the accuracy of flow prediction and anomaly detection in GAMPAL, a general-purpose anomaly detection mechanism for Internet traffic Taku Wakui (Keio Univ./Hitachi), Fumio Teraoka (Keio Univ.), Takao Kondo (Hokkaido Univ./Keio Univ.) IA2023-41 |
The authors propose a general-purpose anomaly detection mechanism using Prefix Aggregate without Labeled data (GAMPAL) f... [more] | IA2023-41 pp.33-40 |
| 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 |
| 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 |
| MI | 2022-07-08 17:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Weakly-Supervised Focal Liver Lesion Detection in CT Images He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40 |
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] | MI2022-40 pp.30-33 |
| EMM | 2022-03-08 09:30 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Highlight scene extraction based on Whistle sound for Amateur soccer games Kousei Yoshioka, Michiharu Niimi (KIT) EMM2021-109 |
In order to watch a long sports video data efficiently, highlight scenes play an important role in such situations. For ... [more] | EMM2021-109 pp.91-94 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-02 15:35 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving Erika Sekiguchi, Toshihisa Tanaka (TUAT), Ken Kubota (JATCO Engineering), Shun Nakamura (CorLab), Kenichi Makita (JATCO) EA2021-94 SIP2021-121 SP2021-79 |
Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. H... [more] | EA2021-94 SIP2021-121 SP2021-79 pp.189-194 |
| HIP | 2021-10-22 13:35 |
Online | Online | A saliency estimation model for drivers' egocentric vision movies considering self-motion velocity Yuya Homma, Masashi Fujita, Takeshi Kohama (Kindai Univ.) HIP2021-44 |
In order to predict where a driver’s attention should be directed during driving, Kodama et al. have developed a salienc... [more] | HIP2021-44 pp.75-80 |
| OFT | 2021-10-14 10:30 |
Online | Online | [Poster Presentation]
Fiber-optic strain vector detection using copolymer core doped with cyan dichroic dye Hayato Yamazaki (UEC), Kentaro Yano (Hayashibara Co., Ltd.), Rei Furukawa (UEC) OFT2021-28 |
Dye-doped polymer optical fiber (POF) having a polarization-maintaining function fabricated using a birefringence-reduce... [more] | OFT2021-28 pp.29-32 |
| IA, ICSS | 2021-06-22 09:00 |
Online | Online | Feature analysis of phishing website and phishing detection based on machine learning algorithms Yi Wei, Yuji Sekiya (Todai) IA2021-9 ICSS2021-9 |
Phishing is a kind of cybercrime that uses disguised websites to trick people into providing personally sensitive inform... [more] | IA2021-9 ICSS2021-9 pp.44-49 |
| ET | 2021-03-06 13:45 |
Online | Online | An Examination of the Detection of Students' Classroom Behavior for Class Evaluation Xinyi Xie, Sho Ooi (Rits Univ.), Takeshi Goto (Oji E.S.), Haruo Noma (Rits Univ.) ET2020-69 |
Beginner teachers are low teaching ability than expert teachers because they are a few teaching experiences in practice.... [more] | ET2020-69 pp.97-102 |
| EA, ASJ-H, EMM | 2020-11-20 09:00 |
Online | Online | [Poster Presentation]
Sound detection for laughter by using features based on auditory attributes Soichiro Tanaka (JAIST), Shota Morita (Fukuyama Univ), Masashi Unoki (JAIST) EA2020-24 EMM2020-39 |
This paper proposes a laughter detection method based on auditory attributes to detect special laughter such as a fake l... [more] | EA2020-24 EMM2020-39 pp.15-20 |
| CS | 2019-07-04 09:00 |
Kagoshima | Amami City Social Welfare Center | Traffic Feature-based Botnet Detection Scheme Emphasizing the Importance of Long Patterns Yichen An, Shuichiro Haruta, Sanghun Choi, Iwao Sasase (Keio Univ.) CS2019-18 |
The botnet detection is imperative. Among several detection schemes, the promising one uses the communication sequences.... [more] | CS2019-18 pp.31-35 |
| IN, NS (Joint) |
2019-03-05 11:50 |
Okinawa | Okinawa Convention Center | Proposal of malicious device detection method by DNS query/response log analysis using machine learning Issei Nakasone, Kitaguchi Yoshiaki, Yamaoka Katsunori (Tokyo Tech) IN2018-129 |
One common way for detecting malware devices in a network is to use a blacklist based on signature detection.However, in... [more] | IN2018-129 pp.271-276 |
| DC | 2019-02-27 11:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | An Efficient Approach to Recycled FPGA Detection Using WID Variation Modeling Foisal Ahmed, Michihiro Shintani, Michiko Inoue (NAIST) DC2018-77 |
Recycled field programmable gate arrays (FPGAs) make a significant threat to mission critical systems due to their perfo... [more] | DC2018-77 pp.37-42 |
| SR, RCS (Joint) (2nd) |
2018-10-31 10:25 |
Overseas | Mandarin Hotel, Bangkok, Thailand | [Poster Presentation]
A Comparison of Machine Learning Algorithms for Motor Sound Fault Detection Arpith Paida (AIT), Prerapong, Aimaschana Niruntasukrat, Koonlachat Meesublak, Panita (NECTEC) |
Automation plays important role in order to make human activities easier. In industries, machines /motors are used for m... [more] | |
| EA, ASJ-H | 2018-08-23 15:10 |
Miyagi | Tohoku Gakuin Univ. | Investigation of abnormal sound detectionusing occurrence probability of regularsound based on Gaussian Mixture Model Koji Abe, Moeko Hara, Shouichi Takane, Masayuki Nishiguchi, Kanji Watanabe (Akita Pref. Univ.) EA2018-34 |
In most abnormal sound detection systems, abnormal sounds are defined in advance and abnormal sounds are detected by mat... [more] | EA2018-34 pp.37-44 |
| BioX, ITE-ME, ITE-IST | 2018-05-24 15:15 |
Ishikawa | Kanazawa Univ. Nishimachi Satelite Plaza | Spoofing detection with a monocular camera based on flash reflection Akinori Ebihara, Kazuyuki Sakurai, Hitoshi Imaoka (NEC) BioX2018-2 |
Facing the rising need for face authentication systems on a mobile phone, developing technologies to prevent spoofing at... [more] | BioX2018-2 pp.15-19 |
| PRMU, BioX | 2018-03-18 16:10 |
Tokyo | Pedestrian Detection with Multi-level Deep Features Misaki Kodaira, Yu Wang, Jien Kato (Nagoya Univ.) BioX2017-52 PRMU2017-188 |
In this research, we aim to clarify effective application of CNN features in pedestrian detection. In the experiment, fe... [more] | BioX2017-52 PRMU2017-188 pp.97-102 |
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