My Biography
Full Name: Dao Huu Hung (David Dao)
(Đào Hữu Hùng, in Vietnamese)
PhD, Research Scientist
Technology Consultant
FPT Software Japan Co. Ltd.,
KDX Building 6F
1-7-6 Shibakoen, Minato, Tokyo 105-0011, Japan
Mobile: +81-70-2190-8993
Email: somebody@somewhere
somebody = hungdh3
somewhere = fsoft.com.vn
Google Scholar: https://scholar.google.com/citations?user=5rv60gMAAAAJ&hl=en
Education Background
Sep. 2011 - Sep. 2014: PhD in Computer Science, Keio University, Japan
Sep. 2008 - Jun. 2010: M.Sc. in Electrical Engineering, National Taiwan University of Science and Technology, Taiwan
Aug. 2002 - Jun. 2007: B.Sc. in Electrical Engineering, Hanoi University of Technology, Vietnam
Work Experience
April 2015 - current: Research Scientist, Technology Consultant at FPT Japan Co. LTD., Tokyo, Japan
Oct. 2014 - March 2015: Postdoctoral Fellow, Hyper Vision Research Laboratory, Keio University, Japan
Jul. 2012 - Mar. 2013: Internship in NTT R&D Center at Atsugi, Yokohama, Japan (Project: Automatic Performance Analysis in Baseball by using Vision Technology)
Jan. 2011 - Aug. 2011: R&D Engineer, Panasonic R&D Center Vietnam
May 2011: Visiting Engineer, Panasonic Advanced Development Center, Nagoya, Japan
Published Dissertations
- PhD Dissertation: Video-Based Fall Detection by Multiview 3D Spatial Features, Keio University, August 2014.
- Master Thesis: Local Empirical Templates and Density Ratios for People Counting, Taiwan Tech, July 2010.
- Undergraduate Thesis: Efficiency Improvement of Indirect Vector Controlled Induction Motor Drives by Artificial Neural Networks, Hanoi University of Science and Technology, June 2007 (in Vietnamese)
Selected Publications
- Phan Chau Phuc Thinh, Hoang Anh, Phan Doan Phuc, Dao Huu Hung, Huynh Van Nam, "Human Density Estimation by Exploiting Deep Spatial Contextual Information," IVCNZ, Dunedin, New Zealand, 2019 [PDF]
- Kazuhiko Kurokawa, Masato Iwase, Yuji Yajima, Hoang Pham Truc Phuong, Dinh Xuan Tue, Nguyen Dong Dung, Dao Huu Hung, "Approach to Quality Improvement of 1D Simulation Model Applying AI method in MBD," JASE Annual Congress pp 1-4, May 2019 [PDF] [Japanese title: AIによるMBDシミュレーションモデルの品質改善への取り組み] [The document is in Japanese, Abstract is in English]
- Phan Chau Phuc Thinh, Bui Thi Xuyen, Nguyen Do Trung Chanh, Dao Huu Hung, Daisuke Mimura, "A Deep Learning-based Aesthetic Surgery Recommendation System," A Book Chapter in Advanced Analytics and Artificial Intelligence Applications, IntechOpen Publisher, pp. 1-10, May 2019 [PDF]
- Dao Huu Hung, Do Anh Tuan, Nguyen Ngoc Khanh, Tran Duc Hien, Nguyen Hai Duong, "A Multiple Object Tracking Evaluation Analysis Framework", 12th International Symposium on Visual Computing (ISVC), Las Vegas, Nevada, USA, 2016 [PDF]
- Dao Huu Hung, Hideo Saito, Keiichi Yamamoto, and Hiromitsu Sato, "An Omnidirectional Vision System for Bus Safety Surveillance", AMMDS Workshop in conjucntion with AVSS 2015 [PDF].
- Atsushi Kawasaki, Dao Huu Hung, and Hideo Saito, "Human Trajectory Tracking using a Single Omnidirectional Camera," Irish Conference on Machine Vision and Image Processing (IMVIP), pp. 157 - 162, August, 2014. [PDF]
- Dao Huu Hung, Hideo Saito, and Gee-Sern Hsu, "Detecting Fall Incidents of The Elderly based on Human-Ground Contact Areas," Proc. of 2nd Asian Conference on Pattern Recognition, pp. 516 - 521, Okinawa, Japan, Nov. 2013 [PDF]
- Dao Huu Hung and Hideo Saito, "The Estimation of Heights and Occupied Areas of Humans from Two Orthogonal Views for Fall Detection," IEEJ Trans. on Electronics, Information, and Systems, Vol. 133, No. 1, pp. 117 - 127, Jan. 2013 [PDF]
- Dao Huu Hung, Sheng-Luen Chung, Gee-Sern Hsu, and Hideo Saito, "Real-Time People Counting in Crowded Areas by using Local Empirical Templates and Density Ratios," IEICE Trans. on Information and Systems, Vol. 95-D, No. 7, pp. 1791 - 1803, July 2012 ( Special Issues in Machine Vision and Applications ) [PDF]
- Dao Huu Hung and Hideo Saito, "Fall Detection with Two Cameras based on Occupied Areas," Proc. of 18th Japan and Korea Joint Workshop Frontiers in Computer Vision, pp. 33 - 39, Yokohama, Japan, Feb. 2012 [PDF]
- Dao Huu Hung, Sheng-Luen Chung, and Gee-Sern Hsu, "Local Empirical Templates and Density Ratios for People Counting," Proc. of 10th Asian Conference on Computer Vision, Vol. 4, pp. 90 - 101, Queensland, New Zealand, 2010 [PDF]
* The documents are provided here only for research purposes. The copyrights are reserved by the Publishers.
Research Interests
Computer Vision and Machine Learning
Video Surveillance, i.e., Multitarget object tracking (algorithms and evaluation protocol), People Counting, Human Action Recognition, and Fall Detection
Deep Learning in Object detection and classification
Awards and Fellowships
- MEXT Fellowship - granted by Japanese Government for my PhD study at Keio University (2011 - 2014)
- Taiwanese Government Fellowship - granted by Taiwanese Government for my Master study at National Taiwan University of Science and Technology (2008 - 2010)
- Eland Foundation Scholarship for excellent study, 2005
- Hanoi University of Technology's scholarship for excellent study (8 awards from 2002 to 2007)
Projects