photo.jpgCTO at Retrocausal, Inc.
1100 NE Campus Pkwy, 2nd Floor, Seattle, WA 98105

Email:
Web: http://cs.adelaide.edu.au/~huy

About Me

I am a CTO and Co-Founder at Retrocausal, Inc., a Seattle-based startup building Intelligence for Occupational Analytics, Efficiency, and Training (Techstars Seattle 2020).

I was a Computer Vision/Machine Learning Researcher at NEC Laboratories America, Inc. in San Jose, CA from April 2015 to January 2020, working on 3D Scene Understanding with applications in Advanced Driver-Assistance System and Dashcam Video Analysis. Before that, I received my PhD degree in Computer Vision from the University of Adelaide, Australia under the supervision of Assoc. Prof. Tat-Jun Chin and Prof. David Suter in December 2014, and obtained my BEng (Hons) degree from Ho Chi Minh City University of Technology, Vietnam in April 2010.

Curriculum Vitae - LinkedIn


Updates


Publications

GoogleScholar - ResearchGate

(Authors with '*' were my interns, and '+' denotes joint first authors)

arxiv20.jpg 1. *NEW* Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction
L. Tiwari*, P. Ji, Q.-H. Tran, B. Zhuang, S. Anand, M. Chandraker
arXiv, 2020
Link - PDF - Demo
iv20.jpg 2. *NEW* Towards Anomaly Detection in Dashcam Videos
S. Haresh+, S. Kumar+, M. Z. Zia, Q.-H. Tran
IEEE Intelligent Vehicles Symposium (IV), 2020
Link - PDF - Demo - Dataset
iros19.jpg 3. *NEW* Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM [Oral]
B. Zhuang*, Q.-H. Tran, G. H. Lee, L. F. Cheong, M. Chandraker
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
Link - PDF - Demo - Slides
Project page
cvpr19.jpg 4. *NEW* Learning Structure-And-Motion-Aware Rolling Shutter Correction [Oral]
B. Zhuang*, Q.-H. Tran, P. Ji, L. F. Cheong, M. Chandraker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Link - PDF - Supp - Poster - Slides
Project page
tpami18.jpg 5. Deep Supervision with Intermediate Concepts
C. Li*, M. Z. Zia, Q.-H. Tran, X. Yu, G. D. Hager, M. Chandraker
Bay Area Machine Learning Symposium (BayLearn), 2018
Link - PDF - Poster

6. Deep Supervision with Intermediate Concepts
C. Li*, M. Z. Zia, Q.-H. Tran, X. Yu, G. D. Hager, M. Chandraker
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018
Link - PDF
Project page
7. Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
M. E. Fathy*, Q.-H. Tran, M. Z. Zia, P. Vernaza, M. Chandraker
European Conference on Computer Vision (ECCV), 2018
Link - PDF - Supp - Poster
Project page
8. Deep Supervision with Shape Concepts for Occlusion-Aware 3D Object Parsing
C. Li*, M. Z. Zia, Q.-H. Tran, X. Yu, G. D. Hager, M. Chandraker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Link - PDF - Supp - Poster
Rendered images (Car) - Rendered images (Chair+Sofa) - Annotated CAD models - Annotated KITTI images
9. A Continuous Occlusion Model for Road Scene Understanding
V. Dhiman*, Q.-H. Tran, J. J. Corso, M. Chandraker
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
Link - PDF - Supp - Poster
10. Robust Parameter Estimation in Computer Vision: Geometric Fitting and Deformable Registration
Q.-H. Tran
PhD Thesis, Australian Centre for Visual Technologies, University of Adelaide, 2014
Link - PDF
11. Sampling Minimal Subsets with Large Spans for Robust Estimation
Q.-H. Tran, T.-J. Chin, W. Chojnacki, D. Suter
International Journal of Computer Vision (IJCV), 2014
Link - PDF
12. As-Projective-As-Possible Image Stitching with Moving DLT
J. Zaragoza, T.-J. Chin, Q.-H. Tran, M. S. Brown, D. Suter
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014
Link - PDF - Supp
Code - Dataset 1 - Dataset 2 - Dataset 3
13. In Defence of RANSAC for Outlier Rejection in Deformable Registration
Q.-H. Tran, T.-J. Chin, G. Carneiro, M. S. Brown, D. Suter
European Conference on Computer Vision (ECCV), 2012
Link - PDF - Supp
Code

Patents

  1. *NEW* Joint Rolling Shutter Image Stitching and Rectification (provisional application # US/62/984,896, filed on Mar 2020)
  2. *NEW* Goal-Directed Procedure Understanding (provisional application, filed on Feb 2020)
  3. *NEW* End-To-End Simultaneous Rolling Shutter Correction and Deblurring (provisional application # US/62/939,016, filed on Nov 2019)
  4. *NEW* Pseudo RGB-D: Exploiting Learned Depth for Robust SfM (provisional application # US/62/892,018, filed on Aug 2019)
  5. *NEW* Robust SfM Learner Using Convolutional LSTMs, Memory, and Incremental Learning (provisional application # US/62/884,328, filed on Aug 2019)
  6. Image/Video Deblurring Using Convolutional Neural Networks with Applications to SFM/SLAM with Blurred Images/Videos (application # US/16/867,805, filed on May 2020)
  7. Multi-Task Perception Network with Applications to Scene Understanding and Advanced Driver-Assistance System (application # US/16/787,727, filed on Feb 2020)
  8. Camera Self-Calibration Network (application # US/16/736,451, filed on Jan 2020)
  9. Rolling Shutter Rectification Using Convolutional Neural Networks with Applications to SFM/SLAM with Rolling Shutter Images/Videos (application # US/16/593,247, filed on Oct 2019)
  10. Dense Three-Dimensional Correspondence Estimation with Multi-Level Metric Learning and Hierarchical Matching (application # US/16/526,306, filed on July 2019)
  11. Learning Good Features for Visual Odometry (application # US/16/100,445, filed on Aug 2018)
  12. Autonomous Vehicle Utilizing Pose Estimation (application # US/16/100,462, filed on Aug 2018)
  13. Aerial Drone Utilizing Pose Estimation (application # US/16/100,479, filed on Aug 2018)
  14. Dense Correspondence Estimation with Multi-Level Metric Learning and Hierarchical Matching (patent # US/10,679,075, granted on May 2020)
  15. Computer Aided Traffic Enforcement Using Dense Correspondence Estimation with Multi-Level Metric Learning and Hierarchical Matching (application # US/16/029,167, filed on Jul 2018)
  16. Landmark Localization on Objects in Images Using Convolutional Neural Networks (patent # US/10,289,934, granted on May 2019)
  17. Advanced Driver-Assistance System with Landmark Localization on Objects in Images Using Convolutional Neural Networks (patent # US/10,289,935, granted on May 2019)
  18. Surveillance System with Landmark Localization on Objects in Images Using Convolutional Neural Networks (patent # US/10,289,936, granted on May 2019)
  19. Action Recognition System with Landmark Localization on Objects in Images Using Convolutional Neural Networks (patent # US/10,331,974, granted on May 2019)

Activities

  • Conference Reviewers: International Conference on Computer Vision (ICCV), IEEE Conference on Computer Vision and Pattern Recognition (CVPR), European Conference on Computer Vision (ECCV), International Conference on 3D Vision (3DV), IAPR Conference on Machine Vision Applications (MVA)
  • Workshop Reviewers: Workshop on 3D Reconstruction in the Wild (3DRW) (in conjunction with ECCV/ICCV), Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues (VOCVALC) (in conjunction with CVPR)
  • Journal Reviewers: International Journal of Computer Vision (IJCV), IEEE Transactions on Image Processing (TIP), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Journal of Computer Graphics Forum (CGF), Neurocomputing Journal (NEUCOM), The Visual Computer Journal (TVCJ), IEEE Journal of Selected Topics in Signal Processing (STSP), IEEE Signal Processing Letters (SPL)

Awards & Scholarships

  • Dean's Commendation for Doctoral Thesis Excellence, 2014
  • International Postgraduate Research Scholarship (IPRS), 2011-2014
  • Australian Postgraduate Award (APA), 2011-2014
  • Scholarship of Pony Chung Foundation - Hyundai Motor Company, 2009
  • Bronze Medal in Vietnam National Olympiad in Informatics (VNOI), 2005
  • Gold Medal in Mekong River Delta Olympiad in Informatics, 2005