Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2024-05-16 15:10 |
Tokyo |
(Primary: On-site, Secondary: Online) |
A Proposal for Generating Incorrect Pairs for the CLIP Learning based on Image Clustering Rina Tagami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) |
[more] |
|
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 15:30 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
High Precision Anomaly Detection using PaDiM based on Pre-training with Normality Constraint of Normal Features Hiroki Kobayashi, Manabu Hashimoto (Chukyo Univ.) IMQ2023-89 IE2023-144 MVE2023-118 |
In recent years, automatic visual inspection is expected with machine learning. Among them, PaDiM is attracting attentio... [more] |
IMQ2023-89 IE2023-144 MVE2023-118 pp.408-413 |
HIP, ITE-HI, VRPSY, ASJ-H [detail] |
2024-02-23 16:00 |
Okinawa |
|
A Piano-Fingering Recognition Method for Overlapped Fingers based on Machine Learning of Sequential Hand Images Takuto Yagawa, Ryo Miyoshi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) HIP2023-111 |
The purpose of this study is to propose a piano-fingering recognition method for educating beginners and analyzing exper... [more] |
HIP2023-111 pp.90-94 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-20 13:15 |
Hokkaido |
Hokkaido Univ. |
DoG-PaDiM:Anomaly Detection with Defect Size Selectivity based on Bandpass Filtering Naoto Hiramatsu, Naoki Murakami, Hiroki Kobayashi, Shuichi Akizuki, Manabu Hashimoto (Chukyo Univ.) ITS2023-69 IE2023-58 |
In the background of the increasing precision of visual inspections, recently, anomaly detection methods using machine l... [more] |
ITS2023-69 IE2023-58 pp.124-129 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2023-06-30 10:20 |
Okinawa |
OIST Conference Center (Primary: On-site, Secondary: Online) |
Hierarchical Classification Transformer for Facial Expression Recognition Utilizing Basic Emotion Relationships Ryo Miyoshi, Shuichi Akizuki (Chukyo Univ.), Kensuke Tobitani (University of Nagasaki), Noriko Nagata (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.) NC2023-13 IBISML2023-13 |
[more] |
NC2023-13 IBISML2023-13 pp.78-82 |
ICD, SDM, ITE-IST [detail] |
2020-08-06 15:10 |
Online |
Online |
[Invited Talk]
Why a robot can't serve tea?
-- Subject of AI robot from the viewpoint of sensor information processing -- Manabu Hashimoto (Chukyo Univ.) |
[more] |
|
MVE |
2019-08-29 15:30 |
Aichi |
|
[Short Paper]
Impression estimation of 3D shape considering the influence of gaze direction DNN using multi-viewpoint image group Keisuke Sakashita, Kensuke Tobitani (Kwansei Gakuin Univ.), Kouichi Taguchi (Chukyo Univ.), Iori Tani, Sho Hashimoto, Kenji Katahira (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2019-11 |
To estimate how a three-dimensional shape makes a person feel, a method using the deep neural network with multi-viewpoi... [more] |
MVE2019-11 pp.35-36 |
MVE |
2019-08-29 15:50 |
Aichi |
|
A Proposal of Facial Expression Recognition Method from Video Using Enhanced ConvLSTM Ryo Miyoshi (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.) MVE2019-12 |
We propose an enhanced convolutional long short-term memory (ConvLSTM) algorithm, i.e., Enhanced ConvLSTM, by adding ski... [more] |
MVE2019-12 pp.37-42 |
MBE, BioX |
2018-07-26 14:45 |
Tottori |
|
A Proposal of Integrated Feature of Gaze and Motion for Analyzing Relationships between View and Body Motion in Assembly Tasks Yohei Kawase, Koichi Taguchi, Manabu Hashimoto (Chukyo Univ.) BioX2018-9 MBE2018-17 |
In this paper, we propose the feature integrating gaze and motion to analyze movements of gaze and hand for each skill l... [more] |
BioX2018-9 MBE2018-17 pp.11-15 |
MBE, BioX |
2018-07-26 15:15 |
Tottori |
|
Estimation of Objective Intelligibility Focused on Student's Nonverbal Behavior in Teaching Scenes between Two Persons Ryo Miyoshi, Koichi Taguchi, Manabu Hashimoto (Chukyo Univ.) BioX2018-10 MBE2018-18 |
In this paper, in the teaching scenes between two persons, we proposed a method to estimate of objective intelligibility... [more] |
BioX2018-10 MBE2018-18 pp.17-22 |
PRMU |
2013-12-12 14:40 |
Mie |
|
[Special Talk]
High-speed Image Matching based on Strategic Reduction of Reference Data
-- Advanced Technologies of the Template Matching -- Manabu Hashimoto (Chukyo Univ.) PRMU2013-73 |
Template matching is one of the most popular algorithms used in industrial field. Behavior of template matching is very ... [more] |
PRMU2013-73 pp.29-32 |
PRMU |
2013-12-12 16:20 |
Mie |
|
Robust Image Matching based on Probabilistic Estimation of Disturbed Pixels using Analysis of Intensity Variation Masataka Saito, Manabu Hashimoto (Cukyo Univ.) PRMU2013-75 |
In this paper, we propose an image matching method which is robust for sudden disturbance such as occlusion. As for the ... [more] |
PRMU2013-75 pp.43-48 |
SANE |
2012-10-10 09:30 |
Overseas |
The SONGDO CONVENSIA, Incheon Korea |
[Invited Talk]
Surface Movements During the 2011 Great Tohoku-Oki Earthquake Detected by ALOS/PALSAR Manabu Hashimoto, Yo Fukushima, Youichiro Takada (Kyoto Univ.) SANE2012-79 |
[more] |
SANE2012-79 pp.129-134 |
PRMU, MI |
2005-05-19 15:00 |
Aichi |
Nagoya Institute of Technology |
Vehicle Detection using Gaussian Mixture Model from IR Image Nami Hirata, Makito Seki, Haruhisa Okuda, Manabu Hashimoto (Mitsubishi Electric Corp.) |
This paper describes the vehicle detection method using infrared images. To avoid the influences of sunshine changes and... [more] |
PRMU2005-7 MI2005-7 pp.37-42 |
NLP |
2004-11-26 15:10 |
Fukuoka |
Kyushu Inst. Tech. |
* Hiroshi Kage, Manabu Hashimoto, Ken-ichi Tanaka, Kazuo Kyuma (Mitsubishi Electric) |
[more] |
NLP2004-71 pp.25-28 |
PRMU |
2004-11-18 16:15 |
Fukui |
|
Development of Face Image Capturing System for Best Appearance
-- The Improvement of the Face Detection Algorithm -- Kousuke Hirasawa, Hiroshi Kage, Shotaro Miwa, Kazuo Hashima, Manabu Hashimoto (Mitsubishi Electric Corp.), Michael Jones, Jay Thornton (Mitsubishi Electric Research Lab.) |
[more] |
PRMU2004-103 pp.61-66 |