"Imagination is more important than knowledge." - Albert Einstein  


  Demos
  Face Image Modeling

C. Zhu, Y. Zheng, K. Luu and M. Savvides, "Auto-Context Cascaded CNN for Unconstrained Face Detection and Alignment", Aug. 2017 (Under submission).

C. Zhu, Y. Zheng,K. Luu and M. Savvides, "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", Jun. 2016 [pdf].

C. N. Duong, K. G. Quach, K. Luu, T. H. N. Le and M. Savvides, "Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition", IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017 (Oral) [pdf].

C. Bhagavatula, C. Zhu, K. Luu and M. Savvides, "Faster Than Real-time Facial Alignment: A 3D Spatial Transformer Network Approach in Unconstrained Poses", IEEE International Conference on Computer Vision (ICCV), Venice, Italy, Oct. 2017 [pdf].

C. N. Duong, K. Luu, K. G. Quach and T. D. Bui, "Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vegas, Jun. 2016 [pdf].

K. G. Quach, C. N. Duong, K. Luu and T. D. Bui, "Robust Deep Appearance Models", Intl. Conf. on Pattern Recognition (ICPR), Cancun, Dec. 2016 [pdf].

H. N. Le, C. Zhu, Y. Zheng, K. Luu and M. Savvides, "Robust Hand Detection in Vehicles", Intl. Conf. on Pattern Recognition (ICPR), Cancun, Dec. 2016 [pdf] (The state-of-the-art results in VIVA database).

C. N. Duong, K. Luu, K. G. Quach and T. D. Bui, "Beyond Principal Components: Deep Boltzmann Machines for Face Modeling", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Jun. 2015 [pdf].

K. G. Quach, C. N. Duong, K. Luu and H. B. Le, "Gabor Wavelet-Based Appearance Models", The 9th IEEE-RIVF Intl. Conf. on Computing and Communication Tech. , Vietnam, 2012.

K. Luu, K. Seshadri, M. Savvides, T. D. Bui and C. Y. Suen, "Contourlet Appearance Model for Facial Age Estimation," Intl. Joint Conf. on Biometrics (IJCB'11), Washington D.C., Oct. 2011.

  Human Face Aging Topics

J. Xu, K. Luu, M. Savvides, T. D. Bui and C. Y. Suen, "Investigating Age Invariant Face Recognition Based on Periocular Biometrics," Intl. Joint Conf. on Biometrics (IJCB'11), Washington D.C., Oct. 2011. (Best Paper Awards)

C. N. Duong, K. G. Quach, K. Luu, H. B. Le and K. Ricanek, "Fine Tuning Age Estimation with Global and Local Facial Features," The 36th Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP 2011), Prague, Czech Republic, May 2011.

K. Luu, T. D. Bui and C. Y. Suen, "Kernel Spectral Regression of Perceived Age from Hybrid Facial Features," The 9th IEEE Conf. on Automatic Face and Gesture Recognition (FG'11), Santa Barbara, US., Mar. 2011.

C. Chen, W. Yang, Y. Wang, K. Ricanek and K. Luu, "Facial Feature Fusion and Model Selection for Age Estimation," The 9th IEEE Conf. on Automatic Face and Gesture Recognition (FG'11), Santa Barbara, US., Mar. 2011.

K. Luu, T. D. Bui, C. Y. Suen and K. Ricanek, "Spectral Regression based Age Determination," IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Biometrics, San Francisco, 2010.

K. Luu, T. D. Bui, C. Y. Suen and K. Ricanek Jr. , "Combined Local and Holistic Facial Features for Age Determination," 11th Intl. Conference on Control, Automation, Robotics and Vision (ICARCV 2010), Singapore, 2010.

K. Luu, "Computer Approaches for Face Aging Problems," The 23th Canadian Conference on Artificial Intelligence (CAI 2010), Ottawa, Canada, 2010.

K. Luu, T. D. Bui, K. Ricanek Jr. and C. Y. Suen, "Age Estimation using Active Appearance Models and Support Vector Machine Regression," IEEE Third Intl. Conference on Biometrics: Theory, Applications and Systems (BTAS 2009), Washington DC, Sep. 2009.

K. Luu, C. Y. Suen, T. D. Bui and K. Ricanek Jr.,"Automatic Child - Face Age - Progression Based on Heritability Factors of Familial Faces," The first IEEE Intl. Conf. on Biometrics, Identity and Security (Bids 2009), Florida, Sep. 2009.

K. Luu, K. Ricanek Jr., T.D.Bui and C.Y.Suen, "The Familial Face Database: A Longitudinal Study of Family-based Growth and Development on Face Recognition," Robust Biometrics: Understanding Science & Technology (ROBUST 2008), IEEE EAB, Hawaii, Nov. 2008.


  Soft-Biometrics Topics

K. G. Quach, C. N. Duong, K. Luu and T. D. Bui, "Depth-based 3D Hand Pose Tracking", Intl. Conf. on Pattern Recognition (ICPR), Cancun, Dec. 2016.

Y. Zheng, C. Zhu, K. Luu, H. N. Le, C. Bhagavatula and M. Savvides, "Towards a Deep Learning Framework for Unconstrained Face Detection," IEEE 8th Intl. Conference on Biometrics: Theory, Applications and Systems (BTAS), Buffalo, NY, Sep. 2016.

C. Zhu, Y. Zheng, K. Luu, H. N. Le, C. Bhagavatula and M. Savvides, "Weakly Supervised Facial Analysis with Dense Hyper-column Features," IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), Biometrics Workshop, Vegas, Jun. 2016.

H. N. Le, K. Luu, C. Zhu, Y. Zheng and M. Savvides, "Multiple Scale Faster-RCNN Approach to Driver's Cell-phone Usage and Hands on Steering Wheel Detection", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), Computer Vision in Vehicle Technology, Vegas, Jun. 2016.

H. N. Le, K. Luu and M. Savvides, "Fast and Robust Self-Training Beard/Moustache Detection and Segmentation," IEEE Intl. Conf. on Biometrics (ICB), Phuket, Thailand, May 2015.

R. Aljadaany, K. Luu, S. Venugopalan and M. Savvides, "Iris Super-resolution via Nonparametric Over-complete Dictionary Learning," IEEE Intl. Conf. on Image Processing (ICIP'15), Quebec, Canada, Sept. 2015.

K. Singh, K. Luu, H. N. Le and M. Savvides, "A Robust Contour Sampling and Tensor-based Approach to Facial Beard and Mustache Shape Segmentation and Matching," IEEE Intl. Conf. on Image Processing (ICIP'15), Quebec, Canada, Sept. 2015.

H. N. Le, K. Luu, K, Singh and M. Savvides, "A Robust Monte Carlo and Tensor-based Shape Context Matching Approach to Facial Beard/Moustache Ranking and Retrieval," Neural Information Processing Systems (NIPS), Workshop, Montreal 2014.

K. Luu, H. N. Le, K. Seshadri and M. Savvides, "FaceCut - A Robust Approach for Facial Feature Segmentation," IEEE Intl. Conf. on Image Processing (ICIP'12), Orlando, US., Sept. 2012.

H. N. Le, K. Luu, K. Seshadri and M. Savvides, "Beard and Mustache Segmentation using Sparse Classifiers on Self-Quotient Images," IEEE Intl. Conf. on Image Processing (ICIP'12), Orlando, US., Sept. 2012.

H. N. Le, K. Luu, U. Prabhu and M. Savvides, "A Novel Energy based Filter for Cross-Blink Eye Detection," IEEE Intl. Conf. on Image Processing (ICIP'12), Orlando, US., Sept. 2012.

H. N. Le, K. Luu, K. Seshadri and M. Savvides, "A Facial Aging Approach to Identification of Identical Twins," IEEE Fifth Intl. Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington DC, Sep. 2012.

Y. Xie, K. Luu and M. Savvides, "A Robust Approach to Facial Ethnicity Classification on Large Scale Face Databases," IEEE Fifth Intl. Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington DC, Sep. 2012.

S. Bendapudi, K. Luu and M. Savvides, "Hallucinating Faces in the Dark," IEEE Fifth Intl. Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington DC, Sep. 2012. (Best Paper Awards)



  Multifactor Analysis - Compressed Sensing - Big Data

K. G. Quach, C. N. Duong, K. Luu and T. D. Bui, “Robust Lp-norm Singular Value Decomposition,” Non-convex Optimization for Machine Learning Workshop, NIPS, Montreal, Canada, 2015.

K. Luu, M. Savvides, T.D.Bui and C.Y.Suen, "Compressed Submanifold Multifactor Analysis with Adaptive Factor Structures," Intl. Conf. on Pattern Recognition (ICPR), 2012.

K. Luu, C. Zhu and M. Savvides, "Distributed Class Dependent Feature Analysis - A Big Data Approach," IEEE International Conference on Big Data, DC, 2014.


  Journals & Book Chapters

K. Luu, M. Savvides, T.D.Bui and C.Y.Suen, "Compressed Submanifold Multifactor Analysis," IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), vol. pp, issue 99, pages 1-1, April 2016.

C. N. Duong, K. Luu, K. G. Quach and T. D. Bui, "Deep Appearance Models: A Deep Boltzmann Machine Approach for Face Modeling," International Journal of Computer Vision (IJCV), 2017. (Under Review).

R. Aljadaany, K. Luu and M. Savvides, "Infinite Coefficient Modeling in Bayesian Overcomplete Dictionary Learning," IEEE Trans. on Image Processing (TIP). (Under Review)

H. N. Le, K. G. Quach, K. Luu and M. Savvides, "Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation," IEEE Trans. on Image Processing (TIP), 2017 (Under Review).

H. N. Le, C. N. Duong, K. Luu and M. Savvides, "Deep Contextual Recurrent Residual Networks for Scene Labeling," Journal of Pattern Recognition, 2017.

Y. Zheng, C. Zhu, K. Luu and M. Savvides, "Multiple-scale Region-based Convolutional Neural Network Approach to Robust Face Detection in the Wild," Book Chapter, Deep Learning for Biometrics, Springer, 2017.

H. N. Le, K. Luu, C. Zhu, Y. Zheng and M. Savvides, "DeepSafeDrive: A Grammar-aware Driver Parsing Approach to Driver Behavioral Situational Awareness (DB-SAW)," Journal of Pattern Recognition, 2016.

K. G. Quach, C. N. Duong, K. Luu and T. D. Bui, "Non-convex Robust PCA: Enhance Sparsity via Lp-norm Minimization," Journal of Computer Vision and Image Understanding (CVIU), 2016.

K. Luu, S. Venugopalan, H. N. Le, M. Savvides and T.D.Bui, "Distributed Class Dependent Feature Analysis," Journal of Pattern Recognition, 2015. (under review)

H. N. Le, K. Luu, C. Zhu and M. Savvides, "Semi Self-Training Beard/Moustache Detection and Segmentation Simultaneously," Journal of Image and Vision Computing, Special Issue "The Best of Biometrics 2015", 2016.

H. N. Le, K. Seshadri, K. Luu and M. Savvides, "Facial Aging and Asymmetry Decomposition Based Approaches to Identification of Twins," Journal of Pattern Recognition, vol. 48, issue 12, pages 3843–3856, Dec. 2015.

F. Xu, K. Luu and M. Savvides, "Spartans: Single-sample Periocular-based Alignment-robust Recognition Technique Applied to Non-frontal Scenarios," IEEE Trans. on Image Processing (TIP), vol. 24, issue 12, pages 4780-4795, Dec. 2015.

H. N. Le, K. Luu and M. Savvides, "SparCLeS: Dynamic L1 Sparse Classifiers with Level Sets for Robust Beard/Moustache Detection and Segmentation," IEEE Trans. on Image Processing (TIP), vol. 22, issue 8, p.p 3097-3107, 2013.

K. Luu, H. B. Le, H. N. Le, "Audio watermarking using psychoacoustic auditory model and spread spectrum theory," Post, Telecommunications and Information Technology Journal, Vietnam, April 2006.


  Patents

- K. Luu, K. Seshadri and M. Savvides, "Face Age-Estimation and Methods, Systems, and Software Therefor", United States Patent US 20140099029 A1, 04/2014.

- M. Savvides, Z. Chenchen and K. Luu, "CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection", Carnegie Mellon University,, 07/2016. (Pending)

- M. Savvides, Z. Chenchen and K. Luu, "Very DeepNet Contextual CNN for Object Detection and Recognition", Carnegie Mellon University,, 07/2016. (Pending)

- M. Savvides, K. Luu and Y. Zheng, "Large-scale Face Recognition via Deep Learning", Carnegie Mellon University,, 02/2016. (Pending)

- S. Bendapudi, K. Luu and M. Savvides, “A New Illumination Approach to Face Image Relighting”, Carnegie Mellon University, 2012. (Pending)

- K. Luu, S. Venugopalan, H. N. Le and M. Savvides, "SCFA", Carnegie Mellon University, 2012. (Pending)

- H. N. Le, K. Luu and M. Savvides, “SparCLeS: Dynamic L1 sparse Classifiers with Level Sets for Robust Beard.Moustache Detection and Segmentation”, Carnegie Mellon University, 2013. (Pending)


  Theses and Technical Reports

Khoa Luu, "Advanced Multilinear Data Analysis and Sparse Representation Approaches and Their Applications," Doctoral Thesis of Computer Science, Concordia University, Montreal, Canada, 2013.
Nominated for the Governor General Gold Medal, the Best Thesis Award, Canada in 2014.

Khoa Luu, "A Computer Approach for Face Aging Problems," Master Thesis of Computer Science, Concordia University, Montreal, Canada, Sept. 2009.
Accepted for full paper presentation at Canadian Artificial Intelligence Graduate Students Symposium 2010.

Khoa Luu and T. Hoang Ngan Le, "Data Hiding in Digital Audio," Bachelor Thesis of Information Technology, University of Science, Vietnam, 2005.
Ranked #1 in Vietnam Fund for Supporting Technology (VIFOTEC) Award and also received the Gold Medal from Vietnam Nationwide Student’s Research Award in 2005.

The Google Scholar Metrics for publication rankings.


Copyright 2011 All Rights Reserved - Khoa Luu