Yoshitaka Atsuo

Affiliation and department：
Job title： Associate Professor
Homepage URL (1)： https://www.jaist.ac.jp/is/labs/yoshitaka-lab/

Research field (1)： Perceptual information processing

Research keywords (5)： Image/Video Processing , Deep Learning , Human-Computer Interaction , User Interfaces , Affective Information Processing

Research theme for competitive and other funds (14)：

2019 - 2023 温度勾配ゲル電気泳動によるHIV-1逆転写酵素遺伝子変異の迅速検出
2018 - 2021 Development and application of genome profiling system featuring high-speed and large image processing
2017 - 2019 Exploring image representation that enables to detect objects with little visible features and its application for protozoa identification
2016 - 2019 Research of Creativity Assessment of Group work for Enhancing Design Ability
2009 - 2011 Representation Driven Video Contents Authoring based on Affective Information

Show all

Papers (70)：

Khoa Pho, Han Lam, Tung Le, Huy Tien Nguyen, Atsuo Yoshitaka. Attention-driven RetinaNet for Parasitic Egg Detection. Proc. IEEE International Symposium on Multimedia. 2022. 265-272
Differential Image Analysis for Image Diagnosis by Machine Learning. 2022. 63. 2. 379-387
Sorn Sooksatra, Toshiaki Kondo, Pished Bunnun, Atsuo Yoshitaka. Headlight recognition for night-time traffic surveillance using spatial-temporal information. Signal, Image and Video Processing. 2020. 14. 1. 107-114
Sorn Sooksatra, Toshiaki Kondo, Pished Bunnun, Atsuo Yoshitaka. Redesigned Skip-Network for Crowd Counting with Dilated Convolution and Backward Connection. Journal of Imaging. 2020. 6. 5. 28-28
An Nguyen, Atsuo Yoshitaka. Defect analysis of inner-wall of pipes by differentiated residual blocks of convolutional neural network. 2019 IEEE 4th International Conference on Signal and Image Processing, ICSIP 2019. 2019. 269-273

ｍore...

MISC (88)：

松川玄太, 吉高淳夫. 境界値検知を活用したドメイン固有環境下での行動分類. 画像の認識・理解シンポジウム. 2022
Pho Khoa, Misato Baba, Yutaro Narukawa, Yuto Tsutsumi, Kiyoshi Yasukawa, Atsuo Yoshitaka. An Image Enhancement Method for TGGE Images for Genenome Profiling. 電気・情報関係学会北陸支部連合大会. 2021
綾塚祐二, 吉高淳夫. 画像分類の注目領域をマスクを用いて可視化する手法の ImageNet のデータを用いた比較. 画像の認識・理解シンポジウム. 2021
綾塚祐二, 雅樂隆基, 安川力, 吉高淳夫. 計算機による画像診断の判断ポイントを可視化する手法. 画像の認識・理解シンポジウム. 2021
松崎広夢, 吉高淳夫. 仮想影の投影によるさりげない視線誘導法の検討. 第192回ヒューマンコンピュータインタラクション研究会研究報告. 2021

ｍore...

Books (18)：

注視点分布に基づく適応的な注釈情報の提示
第12回インタラクティブシステムとソフトウェアに関するワークショップ論文集 2004
Retrieving the Movement of Multiple Objects based on Spatiotemporal Abstraction
Proc. IEEE 6th Workshop on Multimedia Signal Processing 2004
Retrieving the Movement of Multiple Objects based on Spatiotemporal Abstraction
Proc. IEEE 6th Workshop on Multimedia Signal Processing 2004
意味内容に基づく映像の自動編集
第11回インタラクティブシステムとソフトウェアに関するワークショップ論文集 2003
Detecting Auditory Information in Concentration Based on Eye Movement
Proc., IEEE International Conference on Multimedia and Expo. 2003

ｍore...

Lectures and oral presentations (36)：

画像処理の産業応用~課題のとらえ方から解決法の選択まで
(AI利活用アイデア創出ワークショップ 2020)
顕微鏡写真に対する寄生虫の検出と種の識別
(第37回北陸病害動物研究会 2019)
動画像解析技術~映像プログラムのダイジェスト生成から監視カメラ分析まで~
(第52回名古屋駅前イノベーションハブ技術シーズ発表会 2019)
Directions to improve quality of life by image/video processing
(1st International Conference on Multimedia Analysis and Pattern Recognition 2018)
Design and Implementation of Group Work Monitoring System for Exploring Creativity
(International Conference on Knowledge, Information and Creativity Support Systems 2018)

ｍore...

Education (3)：

- 1994 Hiroshima University Graduate School of Engineering Information Engineering
- 1991 Hiroshima University Graduate School of Engineering Information Engineering
- 1989 Hiroshima University Faculty of Engineering

Professional career (2)：

Work history (2)：

- 現在 Japan Advanced Institute of Science and Technology School of Information Science
- 2007/03 Hiroshima University Graduate School of Engineering

Committee career (7)：

Show all

Association Membership(s) (3)：

映像情報メディア学会 , IEEE Computer Society , Information Processing Society of Japan

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page