| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2025-02-22
12:45 |
Online |
online |
Few-shot 3D Human Action Anomaly Detection
Koichiro Kamide (UT), Chunzhi Gu (TUT), Shun Maeda (UF), Jun Yu (NU), Chao Zhang (UT) |
Anomaly detection for human action aims to identify action patterns that deviate from the expected behavior. Collecting ... [more] |
ME2025-48
pp.29-32 |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-18
15:55 |
Hokkaido |
Hokkaido Univ. |
A Note on Personalized Anomaly Detection Based on Vision Language Model Using Image Prompt
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a personalized anomaly detection method based on the Vision Language Model (VLM) that utilizes image... [more] |
MMS2025-18 ME2025-18 AIT2025-18 SIP2025-18
pp.91-95 |
| KANSAI |
2024-12-22
09:45 |
Osaka |
Osaka Metropolitan University, I-site Namba |
**
Yuusuke Chirikiri, Masataka Seo (Osaka Institute of Technology) |
Anomaly detection for complex videos requires a wide variety of information to be considered, making it extremely diffic... [more] |
|
| BCT, IEEE-BT |
2024-02-16
10:30 |
Aichi |
Nagoya International Center
(Primary: On-site, Secondary: Online) |
Anomaly Detection on Radio over Fiber Gap filler using Machine Learning
Koichiro Nakamura, Hiroto Yorioka, Takeshi Higashino, Minoru Okada (NAIST) |
Optical fiber-based gap filler is used to reduce terrestrial broadcasting dead-zone for mitigating the digital divide pr... [more] |
BCT2024-26
pp.21-24 |
| BCT, IEICE-SIS |
2021-10-08
11:30 |
Online |
online |
Analysis of Writing Style on Wood Slips of the Chinese Han period Using Deep Generative Model
Chiang Meng Yuan, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu (Kansai Univ.) |
In this paper, we develop a method to objectively analyze the calligraphic styles of wood slips excavated in Northwester... [more] |
|
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
14:50 |
Online |
Online |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images
-- Verification of Feature Representations Extracted from Deep Learning Models --
Masanao Matsumoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2021-9 ME2021-9 AIT2021-9
pp.43-46 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
14:05 |
Online |
Online |
[Special Talk]
A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study the discrimination of road surface conditions based on deep learning using images captured by fi... [more] |
MMS2021-21 ME2021-21 AIT2021-21
pp.165-169 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
15:20 |
Online |
Online |
[Special Talk]
A Note on Customer's Interest Estimation Method Using Security Camera Video Data from the Real Store
-- Validation of the accuracy of an anomaly detection model using features obtained from a posture estimation model --
Yuki Honma, Ren Togo, Maiku Abe, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a method for estimating customers’ interests using videos recorded by a security camera in a r... [more] |
MMS2021-26 ME2021-26 AIT2021-26
pp.193-198 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
16:20 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Note on Abnormal Motion Detection of River Users on CCTV Videos Based on Weakly Supervised Anomaly Detection Algorithm
Haruna Watanabe, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we investigate abnormal motion detection of river users on Closed-Circuit Television videos (CCTV videos)... [more] |
MMS2020-47 HI2020-47 ME2020-75 AIT2020-47
pp.367-370 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
16:00 |
Hokkaido |
Hokkaido Univ. |
[Invited Talk]
Anomaly Detection for Smart Home Based on User Behavior
-- ICCE2019 Report --
Masaaki Yamauchi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Kensuke Ueda, Yoshiaki Kato (Mitsubishi Electric) |
The operations of home IoT devices by attackers can cause serious problems.
However, such attacks are difficult to dete... [more] |
MMS2019-24 HI2019-24 ME2019-46 AIT2019-24
pp.249-254 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
09:30 |
Hokkaido |
Hokkaido Univ. |
A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Microscope Images
Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents an anomaly detection method for estimation of deteriorated regions from rubber material electron mic... [more] |
MMS2019-27 HI2019-27 ME2019-49 AIT2019-27
pp.265-268 |
| CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] |
2017-02-21
11:00 |
Hokkaido |
Hokkaido Univ. |
A note on the estimation of viewer interest level using facial expression
-- Applying a framework for anomaly detection --
Yuma Sasaka, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method which estimates interest level by quantifying facial expression data captured from users wh... [more] |
MMS2017-12 CE2017-12 HI2017-12 ME2017-36 AIT2017-12
pp.77-80 |