Professor Gee-Sern  Hsu
Artificial Intelligence
Supervisor

Professor Gee-Sern Hsu 徐繼聖 教授

  • Director, Artificial Vision Laboratory
 

RESEARCH INTERESTS

  • Deep Learning for Computer Vision

  • Extreme Pose Face Alignment

  • 3D Face Reconstruction and Cross-Pose Recognition

  • Detection, Tracking, and Recognition of License Plates

  • Cardiac Pulse Estimation by Computer Vision

 

PERSONAL INTRODUCTION AND HONORS

 

Gee-Sern (Jison) Hsu received his dual M.S. degree in electrical and mechanical engine- eering and his Ph.D. in mechanical engineering from the University of Michigan, Ann Arbor, in 1993 and 1995, respectively.

From 1995 to 1996, he was a Post-Doctoral Fellow with the University of Michigan. From 1997 to 2000, he was a Senior Research Staff with the National University of Singapore. In 2001, he joined Penpower Technology, where he led research on face recognition and intelligent video surveillance. In 2007, he joined the Department of Mechanical Engineering, National Taiwan University of Science and Technology (NTUST), where he is now an associate professor and the director of the Artificial Vision Laboratory. Prof. Hsu’s research interests focus on computer vision and deep learning.

*Prof. Hsu, along with his team at Penpower Technology, was a recipient of the Best Innovation and Best Product Award at the SecuTech Expo for 3 consecutive years (2005~2007). He received best papers awards in ICMT 2011, CVGIP 2013, CVPRW 2014, ARIS 2017 and CVGIP 2018.

*Prof. Hsu is a senior member of IEEE and IAPR.

 

LAB INTRODUCTION

Research topics:

(1) Challenging issues in face detection and recognition in the wild

(2) Facial age progression and regression

(3) Generation of new benchmark datasets for RGB-D face recognition and license plate recognition in the wild

(4) Disentangled representation learning

(5) Deep learning for diagnosis of health-related issues

(6) Deep learning for defect detection and classification

(7) Deep learning for license plate detection, tracking and recognition

  • Current Number of Student: more than 10 students 

SUPERVISOR PREFERENCE

Laboratory Advise Languages
Mandarin
English
Laboratory Admission Quotas
2 Students
  • Bachelor (Juniors and above)
  • Master
  • PhD.

CONTACT

Email:
[email protected]  

Phone:
02-2730-3738

Address:
Artificial Vision Laboratory, E1-246, Engineering Building, No.43, Sec. 4, Keelung Rd., Taipei 10610, Taiwan, R.O.C.
 

Artificial Vision Lab
https://sites.google.com/site/artificialvisionlab/

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