Trinh Nguyen Hoang Home Page

Trinh, Hoang

(Vietnamese name: Trịnh Nguyên Hoàng)

PhD candidate in Computer Science

Toyota Technological Institute at Chicago.

Research interests: Applied Vision and Robotics (Stereo Vision, Structure from Motion, 3D reconstruction, Calibration, Motion analysis, etc).

Research goals and agenda: to do substantial researches in Vision and apply them to real-world vision-based systems.

You can find my resumé here: PDF | HTML

Updates:

Sep 22, 2009: Back to Chicago to work on my PhD thesis.

Sep 7-11, 2009: Attended BMVC 2009 in London.

June 22, 2009: paper accepted to BMVC 2009.

May 1, 2009: Staying in San Francisco this summer for a research internship.

July 2, 2008: My PhD thesis proposal was successfully defensed.

June 20, 2008: My paper has been accepted to BMVC 2008.

Courses:

Some interesting courses I took:

Introduction to Computer Vision Felzenszwalb
Course Homepage

Statistical Methods in AI McAllester
Course Homepage

Big Ideas in Computer Science O'Donnell
Course Homepage

Algorithms Babai
Course Homepage

Introduction to Artificial Intelligence Niyogi
Course Homepage

Computer Vision Amit
Course Homepage

Research Publications and Projects:

Unsupervised Learning of Stereo Vision with Monocular Cues.
(with David McAllester)
BMVC 2009.

In this paper we used a modified version of the Stanford Stereo Dataset. You can click to download our training data and the testing data .

Stereo Pair Training of Monocular Depth Estimation.

Efficient Stereo Algorithm using Multiscale Belief Propagation on Segmented Images.
BMVC 2008.

Particle-based Belief Propagation for Structure from Motion and Dense Stereo Vision with unknown camera constraints.
(with David McAllester)
2nd Robot Vision Workshop, Proceedings. Lecture Notes in Computer Science 4931 Springer 2008, ISBN 978-3-540-78156-1.

Particle Belief Propagation.
(with David McAllester and Alex Ihler)
Unpublished manuscript.

Four-view scene structure and motion estimation from stereo sequences.
(with David McAllester)

Contact:

You may send me e-mail at:

Or call me at: 1 (773) 396 2730

Misc. stuff:

Links:

Computer Vision conference lists.

Great minds spoken out loud.

Plan your trip within Chicago.

Technology Review published by MIT.

Introduction to Computer Vision	Felzenszwalb	Course Homepage
Statistical Methods in AI	McAllester	Course Homepage
Big Ideas in Computer Science	O'Donnell	Course Homepage
Algorithms	Babai	Course Homepage
Introduction to Artificial Intelligence	Niyogi	Course Homepage
Computer Vision	Amit	Course Homepage

Unsupervised Learning of Stereo Vision with Monocular Cues. (with David McAllester) BMVC 2009. In this paper we used a modified version of the Stanford Stereo Dataset. You can click to download our training data and the testing data .
Stereo Pair Training of Monocular Depth Estimation.
Efficient Stereo Algorithm using Multiscale Belief Propagation on Segmented Images. BMVC 2008.
Particle-based Belief Propagation for Structure from Motion and Dense Stereo Vision with unknown camera constraints. (with David McAllester) 2nd Robot Vision Workshop, Proceedings. Lecture Notes in Computer Science 4931 Springer 2008, ISBN 978-3-540-78156-1.
Particle Belief Propagation. (with David McAllester and Alex Ihler) Unpublished manuscript.
Four-view scene structure and motion estimation from stereo sequences. (with David McAllester)