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. 39, issue 3, pages 444-456, March 2017 [pdf]

H. N. Le, K. Luu, C. Zhu, Y. Zheng and M. Savvides, Semi self-training beard/moustache detection and segmentation simultaneously,” Journal of Image and Vision Computing (JIVC), Vol. 58, Pages 214-223, February 2017 [pdf]

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. 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, Pages 3097-3107, 2013 [pdf]

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 [pdf]

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 [pdf]

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), Quebec, Canada, Sept. 2015 [pdf]

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

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), Orlando, US., Sept. 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.