PUBLICATIONS

Journal Publications
  1. Ngan T.H. Le, K. Luu,  K.Sadler, K. G. Quach, C. N. Duong, "Contextual 3D Atrous Residual Network to Imbalanced Data: A Multi-task Network for Brain Tumor Detection & Segmentation" (under review)

  2. K. G. Quach,  Ngan T.H. Le, K. Luu, C.N. Duong, I. Jalata, K. Roy, "Non-Volume Preserving-based Feature Fusion Approach to Group-Level Expression Recognition on Crowd Videos" (under review)

  3. C. N. Duong, K. G. Quach, K. Luu, Ngan T.H. Le, M. Savvides, T.B. Dai, ”Automatic Face Aging in Videos via Deep Reinforcement Learning”, International Journal of Computer Vision (2019), Springer, pp. 1–15

  4. Ngan T.H. Le, Kha Gia Quach, Khoa Luu and M. Savvides ”Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation” , Transactions on Image Processing, Vol. 27, No. 5, May 2018, pp. 2393–2407

  5. Ngan T.H. Le, Chi Nhan Duong, Ligong Han, Khoa Luu and M. Savvides ”Deep Contextual Recurrent Residual Networks for Scene Labeling” , Pattern Recognition, Volume 80, August 2018, Pages 32-41

  6. Ngan T.H. Le, CC Zhu, Y. Zheng, K. Luu, and M. Savvides ”DeepSafeDrive: A Grammar- aware Driver Parsing Approach to Driver Behavioral Situational Awareness (DB-SAW)” , Pattern Recognition , Volume 66, June 2017, Pages 229-238

  7. Ngan T.H. Le, Khoa Luu, K., ChenChen Zhu and Savvides, M., ” Semi Self-Training Beard/Moustache Detection and Segmentation Simultaneously,” Image and Vision Computing, Volume 58, February 2017, Pages 214–223

  8. Ngan T.H. Le, and Savvides, M., ”A Novel Shape Constrained Feature-based Active Contour (SC-FAC) Model for Lips/Mouth Segmentation with Unconstrained Background,” Pattern  Recognition, Vol. 54, Pages 23–33, 2016

  9. K. Luu, C. C. Zhu, C. Bhagavatula, Ngan T.H. Le and M. Savvides, ”A Deep Learning Approach to Joint Face Detection and Segmentation,” Special Issue, Advances in Face Detection and Facial Image Analysis, Springer, Pages 1–12, 02 April 2016

  10. Ngan T.H. Le, Seshadri, K, Luu, K., and Savvides, M., ”A Facial Aging and Asymmetry Decomposition to Twins Identification,” Pattern Recognition, Vol.48, Issue 12, Pages 3843–3856, 2015

  11. Ngan T.H. Le, Luu, K., and Savvides, M., ”SparCLeS: Dynamic L1 Sparse Classifiers with Level Sets for Robust Beard/Moustache Detection and Segmentation,” IEEE Trans. on Image Processing (TIP), Vol. 22, No. 8, pp. 3097-3107, Aug. 2013.

  12. Ngan T.H. Le, Lin, C. C., Chang, C. C., and Le, H. B., ”A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images,” Journal of Digital Signal Processing Vol. 21, Issue 6, pp. 734 - 745, 2011

  13. Chen, W. J., Chang, C. C., and Ngan T.H. Le, ”High Payload Steganography Mechanism Using Hybrid Edge Detector”, Journal of Expert Systems with Application, Vol. 37, No. 4, pp. 3292-3301, April, 2010.

  14. Chang, C. C., Lee, J. S., Ngan T.H. Le, ”Improved Wet Paper Coding Based on an n- Indicator and a Fuzzy Edge Detector,” Journal of Digital Signal Processing, Vol. 20, Issue 4, pp. 1286-1307, 2010

  15. Chang, C. C., Lin, C. C., Ngan T.H. Le and Le, H. B., ”Sharing a Verifiable Secret Image Using Two Shadows,” Pattern Recognition, Vol. 42, Issue 1, pp. 3097-3114, May, 2009. [14] Chang, C. C., Lin, C. C., Ngan T.H. Le, and Le, H. B., ”Self Verifying Visual Secret Sharing Using Error Diffusion and Interpolation Techniques,” IEEE Transactions on Information Forensics and Security, Vol. 4, Issue 4, pp. 790 – 801, Dec. 2009.

  16. Chang, C. C., Lin, C. C., Ngan T.H. Le, and Le, H. B., ”A Probabilistic Visual Secret Sharing Scheme for Grayscale Images with Voting Strategy,” International Journal of Intelligent Information Technology Application (IJIITA), Vol. 1, No. 1, Jul. 2008, pp.

  17. Le Hoai Bac, Luu Khoa, Ngan T.H. Le, ”Audio watermarking using psychoacoustic auditory model and spread spectrum theory”, Post, Telecommunications and Information Technology Journal, Vietnam, April 2006. 

Journal Publications
Conference Publications
  1. Ngan T.H. Le Toan Bui "Narrow Band Active Contour Attention Model for Imbalanced-Class and Weak Boundary in Medical Segmentation", submitted to CVPR 2020

  2. Thanh-Dat Truong,  Chi Nhan Duong,  Thao Nguyen, Chuong Huynh,  Khoa Luu, Ngan T.H. Le,  Sebastian Engelke , "An Extreme Generative Flow Approach to Unsupervised Domain Generalization", submitted to CVPR 2020

  3. Ngan T.H. Le, Trung Le "Narrow Band Variational Level Set Loss for \Imbalanced-class data in Medical Segmentation", submitted to he IEEE International Symposium on Biomedical Imaging (ISBI) 2020

  4. James B. Holliday, Ngan T.H. Le, “Follow Then Forage Exploration: Improving Asynchronous Advantage Actor Critic”, International Conference on Soft Computing, Artificial Intelligence and Applications (SAI 2020), Canada, July 2020 (accepted)

  5. C.N.Duong, K.G.Quach, Ngan T.H. Le, N.Nguyen, K.Luu "MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices", accepted BTAS 2019

  6. C.N.Duong, K.Luu, K.G.Quach, N.Nguyen, E.Patterson, T.D. Bui, Ngan T.H. Le, ”Auto- matic Face Aging in Videos via Deep Reinforcement Learning”, accepted in CVPR 2019

  7. Ngan T.H. Le, Raajitha Gummadi, Marios Savvides, ”Deep Recurrent Level Set for Seg- menting Brain Tumors”, MICCAI 2018, pp 646-653, September 2018

  8. C. N. Duong, K. G. Quach, K. Luu, Ngan T.H. 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

  9. Ngan T.H. Le, KhaGia Quach, Chenchen Zhu, Chi Nhan Duong, Khoa Luu, Marios Savvides, ”Robust Hand Detection and Classification in Vehicles and in the Wild”, CVPRW, pp. 1203- 1210, July 2017

  10. Ngan T.H. Le, Chenchen Zhu, Yutong Zheng, Khoa Luu, Marios Savvides, ”Robust Hand Detection in Vehicles ”, ICPR 2017, pp. 573-578

  11. Ligong Han, Ngan T.H. Le, Marios Savvides ”An Automatic Cells Detection and Segmenta- tion,” SPIE Medical Imaging 2016, doi: 10.1117/12.2254068

  12. Y. Zheng, C. Zhu, K. Luu, Ngan T.H. 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.

  13. Ngan T.H. Le, Yutong Zheng*, Chenchen Zhu*, Khoa Luu, and Marios Savvides, ”Multiple Scale Faster-RCNN Approach to Driver’s Cell-phone Usage and Hands on Steering Wheel Detection”, CVPRW 2016, pp. 46-53

  14. Ngan T.H. Le, CC Zhu, Y. Zheng, K. Luu, and M. Savvides ”DeepSafeDrive: A Grammar- aware Driver Parsing Approach to Driver Behavioral Situational Awareness (DB-SAW)” , CVPRW 2016

  15. Chenchen Zhu*, Yutong Zheng*, Khoa Luu, Ngan T.H. Le, Chandrasekhar Bhagavatula, and Marios Savvides, ”Weakly Supervised Facial Analysis with Dense Hyper-column Features”, CVPRW2016

  16. Ngan T.H. Le, Seshadri, K, Luu, K., and Savvides, M., ”A Facial Aging and Asymmetry Decomposition to Twins Identification,” CVPRW, Boston USA 2015.

  17. NganT.H.Le, KhoaLuu.,andSavvides,M.,”FastandRobustSelf-TrainingBeard/Moustache Detection and Segmentation,” International Conference on Biometrics (ICB), pp. 1-8, Phuket, Thailand 2015

  18. Faten M’hiri, Ngan T.H. Le , Luc Duong, Christian Desrosiers, Mohamed Cheriet, ”Hierar- chical Segmentation and Tracking of Coronary Arteries in 2d x-ray Angiography Sequences”, International Conference on Image Processing (ICIP), pp. 1707-1011, Quebec, Canada, 2015

  19. Karanhaar Singh , Khoa Luu , Ngan T.H. Le, Marios Savvides , ”A Robust Contour Sampling and Tensor-Based Approach To Facial Beard And Mustache Shape Segmentation And Matching,” International Conference on Image Processing (ICIP), pp. 1399-1403, Quebec, Canada, 2015

  20. Ngan T.H. Le, U. Prabhu., and Savvides, M., ”A Novel Eyebrow Segmentation and Eyebrow Shape-based Identification,” International Joint Conference on Biometrics (IJCB), pp. 1-8, Florida USA 2014.

  21. Ngan T.H. Le, Karanhaar Singh, K Luu, Savvides, M, ”A Robust Monte Carlo and Tensor- based Shape Context Matching Approach to Facial Beard/Moustache Ranking and Retrieval”, Women in Machine Learning (WiML), Canada, 2014

  22. Hong Quan Hua, Ngan T.H. Le, Hoac Bac Le, ”An Effective Initialization for ASM-based Methods,” 13th International Conference on Computer Information Systems and Industrial Management Applications, Vol. 8838, pp.421-432, Vietnam 2014T.

  23. Ngan T.H. Le, Luu, K., Seshadri, K., and Savvides, M. ”A Facial Aging Approach to Identification of Identical Twins”, the IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2012), pp. 91-98, Washington DC, US. Sept. 2012.

  24. Ngan T.H. Le, Luu, K., U. Prabhu, Savvides, M., ”A Novel Energy based Filter for Cross- Blink Eye Detection,” Intl. Conf. on Image Processing (ICIP’12), Orlando, US., Sept. 2012. pp. 1845-1848.

  25. Ngan T.H. Le, Luu, K., Seshadri, K., andSavvides, M., ”Beard and Mustache Segmentation Using Sparse Classifiers on Self-Quotient Images”, Intl. Conf. on Image Processing (ICIP’12), Orlando, US., Sept. 2012, pp. 165-168.

  26. Luu, K., Ngan T.H. Le, Seshadri, K., and Savvides, M., ”FaceCut - A Robust Approach for Facial Feature Segmentation”, Intl. Conf. on Image Processing (ICIP’12), Orlando, US., Sept. 2012, pp. 1841-1844.

  27. Mhiri, F., Ngan T.H. Le, Duong, L., and Cheriet, M., ” A New Adaptive Segmentation Framework of Tubular Structures in X-Ray Angiography”, Intl. Conf. on Information Science, Signal Processing & their application (ISSPA 2012), Quebec, Canada, pp. 496-500, July, 2012.

  28. Ngan T.H. Le, Bui, T. D., Suen, C. Y. “Ternary Entropy-based Binarization of Degraded Document Images Using Morphological Operators”,Intl. Conf. on Document Analysis and Recognition (ICDAR 2011), pp. 114-118, Beijing, China, September, 2011.

  29. Ngan T.H. Le, Nguyen. K. H, Le, H. Bac, ”Literature Survey on Watermarking Tools, Watermark Attacks, and Benchmarking Tools”, The 2nd International Conferences on Advances in Multimedia (MMEDIA), pp. 67-73, Greece, 2010.

  30. Ngan T.H. Le, Nguyen. K. H, Le, H. Bac, ”A Robust Biometric Watermark-Based Au- thentication Scheme” The 5th International Conference on Digital Information Management

  31. (ICDIM), pp. 398-403, Canada, 2010.

  32. Ngan T.H. Le, ”Holistic Word Recognition using Support Vector Regression in Combination with Spectral Regression”, Woman in Machine Leaning workshop, Held in Conjunction with Neural Information Processing Systems (NIPS 2010), Canada, 2010.

  33. Lee, J. S., Ngan T.H. Le, ”Hybrid (2, n) Visual Secret Sharing Scheme for Color Images”, International Conference on Computing and Telecommunication Technologies, pp.1-8, 2009.

  34. Chang, C. C., Lin, C. C., Ngan T.H. Le, and Le, H. B., ”A New Probabilistic Visual Secret Sharing Scheme for Color Images,” Proceedings of the Fourth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2008), pp. 1305-1308, China, Aug. 2008. 

Book Chapter
  1. Ngan T.H. Le,  K. Luu, C. N. Duong, K. G. Quach, M. Savvides, " Active Contour Model in Deep Learning Era: A Revise and Review", Applications of Hybrid Metaheuristic Algorithms for Image Processing, Springer, 2020

Carnegie Mellon University

University of Arkansas

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