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 Live Task Guidance for Manufacturing Assembly (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 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.

LinkedIn - GoogleScholar - ResearchGate


Updates

  • [Jul 2020] 3 papers are accepted to ECCV 2020.
  • [Jun 2020] Retrocausal won a SBIR Phase I contract with NASA. Here is the GeekWire article, with cover photo featuring our project.
  • [May 2020] 2 patents are granted by USPTO.
  • [Apr 2020] Retrocausal is featured in GeekWire.
  • [Apr 2020] 1 paper is accepted to IV 2020.
  • [Feb 2020] Retrocausal is among the 10 startups accepted to Techstars Seattle 2020 cohort, out of 1000s applications.
  • [Jan 2020] I resigned from NEC Labs to work on Retrocausal.
  • [Nov 2019] I gave a talk at VinAI Research.
  • [Jun 2019] 1 paper is accepted to IROS 2019 as Oral presentation.
  • [May 2019] 4 patents are granted by USPTO.
  • [Feb 2019] 1 paper is accepted to CVPR 2019 as Oral presentation.

Publications

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

eccv20a.jpg 1. *NEW* Image Stitching and Rectification for Hand-Held Cameras
B. Zhuang, Q.-H. Tran
European Conference on Computer Vision (ECCV), 2020
Link - Details are coming soon
Project page
eccv20b.jpg 2. *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
European Conference on Computer Vision (ECCV), 2020
Link - Details are coming soon
Project page
eccv20c.jpg 3. *NEW* Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling
Y. Zou*, P. Ji, Q.-H. Tran, J.-B. Huang, M. Chandraker
European Conference on Computer Vision (ECCV), 2020
Link - Details are coming soon
Project page
iv20.jpg 4. *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
5. 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
6. 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 7. 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

8. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. 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. Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction (application # US/16/987,705, filed on Aug 2020)
  5. Self-Supervised Visual Odometry Framework Using Long-Term Modeling and Incremental Learning (application # US/16/939,604, filed on Jul 2020)
  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 (patent # US/10,762,359, granted on May 2020)
  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