Anh T Tran

  Anh T Tran, 

Software Engineer & Research Scientist
AWS Rekognition
trnat at
anhttran at

I am a Software Developer Engineer and Research Scientist at Amazon AWS Rekognition. My research interest is Computer Vision and my expertise is Face Processing.

I took a PhD degree from Computer Science Department of University of Southern California, under the support from Vietnam Education Foundation which is funded by U.S. government. My advisor was Prof. Gerard Medioni.

I was a member of MIMAS Group, known formerly as MIMAS team, a Vietnamese company which focuses on innovative technologies in computer science area.

Previously, I received a BSc in Computer Science from Hanoi University of Science and Technology.

I received the first prizes in Vietnam Talent Award 2010 and Imagine Cup Vietnam 2009.

Curriculum Vitae

You can download a PDF version here

2015now: Robust 2D face recognition with augmented deep Neural Network
Develop an effective solution to solve face recognition in-the-wild using a very deep neural network. The key technique is to enrich training data with different augmentation (head pose, shape, expression).

2013–now: Robust 3-D Face Modeling from single/multiple images
Develop an automatic framework of reconstructing high quality 3D face (shape + texture) from in-the-wild images, which can be used in face recognition and 3D animation purpose.

2012–2013: 3-D Face Tracking and Modeling from a single webcam
Develop a robust, real-time 3D face tracking system providing accurate 3D head pose in the presence of large out-of-plane motions, expressions changes, and partial occlusions.

  • F. Chang, A. Tran, T. Hassner, I. Masi, R. Nevatia, and G. Medioni. Deep, Landmark-Free FAME: Face Alignment, Modeling, and Expression Estimation. In IJCV 2019 [project] [pdf]

  • A. Tran, I. Masi, T. Hassner, E. Paz, Y. Nirkin, and G. Medioni. Extreme 3D Face Reconstruction: Looking Past Occlusions. In CVPR 2018 [arxiv] [code]

  • F. Chang, A. Tran, T. Hassner, I. Masi, R. Nevatia, and G. Medioni. FacePoseNet: Making a Case for Landmark-Free Face Alignment. In FG 2017. [pdf] [arxiv] [code]
  • A. Tran, I. Masi, T. Hassner, and G. Medioni. Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network In CVPR 2017. [project] [arxiv] [code] [bib]

  • I. Masi, A. Tran, T. Hassner, J. T. Leksut, and G. Medioni. Do We Really Need to Collect Millions of Faces for Effective Face Recognition? In ECCV, 2016. [project] [pdf] [code] [bib]

  • J. Choi, A. Tran, Y. Dumortier, and G. Medioni. Real-Time 3-D Face Tracking and Modeling Framework for Mid-Res Cam. In WACV, 2014. [pdf]

2012–2017: PhD Student - University of Southern California (USA)
Viterbi School of Engineering, Computer Science Department

2005–2010: Bachelor of Science - Hanoi University of Science & Technology (Vietnam)
School of Information and Communication Technology
  • Thesis: Map Society on Mobile                                                                 Score: 9.9/10.0
    Content: social networking which supports sharing position & place on mobile (using J2ME).
  • GPA: 8.85/10.0 (original) or 3.75/4.00 according to VEF's conversion table.
  • Classification: Very good.
  • Rank: 1/302
2002–2005: High school for gifted students, Hanoi University of Science (Vietnam)
thematics-specified class
  • Classification: Very good.


2018–now:, Inc (USA)
Software Developer Engineer
  • Jan 2018 - Jun 2018: Work on FireTV Search
  • Jul 2018 - now: Work on Face Research, AWS Rekognition
2012–2017: University of Southern California (USA)
PhD Student
  • Aug 2015 - Dec 2017: Challenge in-the-wild 2D face recognition problem with augmented deep Neural Network
  • Jun 2013 - Dec 2017: Robust 3-D Face Modeling from single/multiple images
  • Aug 2012 - Jun 2013: 3-D Face Tracking from a webcam
2009–2012: MIMAS team (Vietnam)
Team member - Researcher & Developer
  • May 2011 - Dec 2011: Logo Recognition Project – Creating service to recognize a logo from an image captured on mobile.
  • Jan 2009 – Jun 2010: Digital Intelligence System – Create a system to recognize human specific thought or some basic states (as blink, wink, asleep) based on EEG signal and apply it to support human life (Ex: remote control devices).

2011–2012: Emotiv Systems (Australian company creating Brain Headset and its supporting Framework to analyze brain waves)
Developer, Vietnam Team
  • Oct 2011 - Jul 2012: Emotiv Store - Creating an application to help customer find, install and manage Emotiv applications.
  • Jun 2011 - Oct 2011 & Feb 2012 - Jul 2012: port Emotiv Framework to MAC OS X.
2010–2011: Novellus Vietnam LTD, an office of Novellus Systems Inc in Vietnam
SAP Developer, ITD Department
  • Jul 2010 - Jun 2011: Modify programs and reports based on internal users’ requirements in Novellus SAP system.
    Use ABAP programming

OS Windows, Linux, Mac OSX
Database SQL Server, MySQL, Access
Language Python, Matlab, C/C++, Java, C#, ASP, PHP, UNIX shell, Assembly ...
Deep learning with PyTorch, MXNet, Caffe, CUDA, J2EE, J2ME, .NET ...
Analyze & Design, Microsoft Office

2010 Vietnam Talent Award; Dan Tri E-newspaper, VTV and VNPT Group.
2010 Title of First-ranked Student; Faculty of Information Technology.
2010 The first prize in University-level Student Research Contest; Hanoi University of Technology, Vietnam.
2009 The first prize of Imagine Cup Vietnam; Microsoft Vietnam.
2009 Lawrence S. Ting Scholarship; Lawrence S. Ting Memorial Fund, Vietnam.
2008 Lawrence S. Ting Scholarship; Lawrence S. Ting Memorial Fund, Vietnam.
2007 Fujitsu Scholarship; Fujitsu Vietnam LTD, Vietnam.