photo.jpgQuoc-Huy Tran

CTO at Retrocausal, Inc.
4176 NE 148th Ave, Redmond, WA 98052

Email: huy [at] retrocausal [dot] ai
Web: http://cs.adelaide.edu.au/~huy

About Me

I am a CTO and Co-Founder at Retrocausal, Inc., a Redmond-based startup building Visual Mistake-Proofing for Manual Assembly (Techstars Accelerator - Seattle 2020 Batch).

I was a Research Staff Member at NEC Labs America, Inc. in San Jose, CA from February 2015 to January 2020, working with Manmohan Chandraker 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 Tat-Jun Chin and David Suter in December 2014.

LinkedIn - GoogleScholar - ResearchGate

Updates

Publications

Authors with '*' are my mentees. '†' indicates joint first author.

1. Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments
K. D. Nguyen, Q.-H. Tran, K. Nguyen, B.-S. Hua, R. Nguyen
European Conference on Computer Vision (ECCV), 2022
Pre-print
2. Timestamp-Supervised Action Segmentation with Graph Convolutional Networks
H. Khan, S. Haresh, A. Ahmed, S. Siddiqui, A. Konin, M. Z. Zia, Q.-H. Tran
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Pre-print
3. Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering
S. Kumar†, S. Haresh†, A. Ahmed, A. Konin, M. Z. Zia, Q.-H. Tran
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Link - PDF - Supp - Talk
[Project web]
4. POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
D. H. Le†, K. D. Nguyen†, K. Nguyen, Q.-H. Tran, R. Nguyen, B.-S. Hua
35th Conference on Neural Information Processing Systems (NeurIPS), 2021
Link - PDF - Supp
5. Learning by Aligning Videos in Time
S. Haresh†, S. Kumar†, H. Coskun, S. N. Syed, A. Konin, M. Z. Zia, Q.-H. Tran
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Link - PDF - Supp - Talk
[Project web]
6. RetroActivity: Rapidly Deployable Live Task Guidance Experiences [Best Demo Award]
A. Konin, S. N. Syed, S. Siddiqui, S. Kumar, Q.-H. Tran, M. Zeeshan Zia
IEEE International Symposium on Mixed and Augmented Reality Demonstration (ISMAR Demo), 2020
Link - PDF - Demo
7. Towards Anomaly Detection in Dashcam Videos
S. Haresh†, S. Kumar†, M. Z. Zia, Q.-H. Tran
IEEE Intelligent Vehicles Symposium (IV), 2020
Link - PDF - Dataset - Talk
8. Image Stitching and Rectification for Hand-Held Cameras
B. Zhuang, Q.-H. Tran
European Conference on Computer Vision (ECCV), 2020
Link - PDF - Supp - Talk
[Project web]
9. 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 - PDF - Supp - Talk
[Project web]
10. 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 - PDF - Supp - Talk
[Project web]
11. Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM
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 - Supp - Slides
[Project web]
12. Learning Structure-And-Motion-Aware Rolling Shutter Correction [Oral Presentation]
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 - Slides
[Project web]
13. 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 web]
14. 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 web]
15. 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
[Project web]
16. 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
17. 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
18. 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
[Project web]
19. 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), 2013
Link - PDF
20. 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. Systems and Methods for Determining Sub-Activities in Videos and Segmenting the Videos with Little to No Annotation (US Patent Application)
  2. System and Method for Learning Human Activities from Video Demonstrations Using Video Augmentation (US Patent Application)
  3. System and Method for Correlating Video Frames in a Computing Environment (US Patent)
  4. System and Method for Management and Evaluation of One or More Human Activities (US Patent)
  5. System and Method for Building Computational Models of a Goal-Driven Task from Demonstration (US Patent)
  6. Joint Rolling Shutter Image Stitching and Rectification (US Patent Application)
  7. Joint Rolling Shutter Correction and Image Deblurring (US Patent Application)
  8. Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction (US Patent)
  9. Self-Supervised Visual Odometry Framework Using Long-Term Modeling and Incremental Learning (US Patent)
  10. Image/Video Deblurring Using Convolutional Neural Networks with Applications to SFM/SLAM with Blurred Images/Videos (US Patent)
  11. Multi-Task Perception Network with Applications to Scene Understanding and Advanced Driver-Assistance System (US Patent Application)
  12. Camera Self-Calibration Network (US Patent Application)
  13. Rolling Shutter Rectification Using Convolutional Neural Networks with Applications to SFM/SLAM with Rolling Shutter Images/Videos (US Patent)
  14. Learning Good Features for Visual Odometry (US Patent)
  15. Aerial Drone Utilizing Pose Estimation (US Patent)
  16. Dense Three-Dimensional Correspondence Estimation with Multi-Level Metric Learning and Hierarchical Matching (US Patent)
  17. Dense Correspondence Estimation with Multi-Level Metric Learning and Hierarchical Matching (US Patent)
  18. Computer Aided Traffic Enforcement Using Dense Correspondence Estimation with Multi-Level Metric Learning and Hierarchical Matching (US Patent)
  19. Landmark Localization on Objects in Images Using Convolutional Neural Networks (US Patent)
  20. Advanced Driver-Assistance System with Landmark Localization on Objects in Images Using Convolutional Neural Networks (US Patent)
  21. Surveillance System with Landmark Localization on Objects in Images Using Convolutional Neural Networks (US Patent)
  22. Action Recognition System with Landmark Localization on Objects in Images Using Convolutional Neural Networks (US Patent)

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), IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 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 Robotics (T-RO), IEEE Robotics and Automation Letters (RA-L), ISPRS Journal of Photogrammetry and Remote Sensing (JPRS), 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, Grants & Scholarships

  • Top 50 Advanced Manufacturing Startups by CB Insights, 2022
  • Judges' Award at Vision Tank Start-Up Competition, 2021
  • Best Demo Award at IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020
  • NASA SBIR Phase I Grant ($125K), 2020
  • 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