PUBLICATIONS

Journal Publications
  1. K. G. Quach,  Ngan T.H. Le, K. Luu, C.N. Duong, I. Jalata, K. Roy, "Non-volume preserving-based fusion to group-level emotion recognition on crowd videos", Pattern Recognition 2022, Vol. 128, https://doi.org/10.1016/j.patcog.2022.108646

  2. K. Vo-Ho, K. Yamazaki, S. Truong, A. Sugimoto, M-T. Tran, Ngan T.H. Le ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation, in IEEE Access, vol. 9, pp. 126431-126445, 2021, doi: 10.1109/ACCESS.2021.3110973.

  3. Ngan T.H. Le, K. Yamazaki, V. Rathour,K. Luu, M. Savvides "Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey", Journal of Artificial Intelligence Review (AIRE) 2021(accepted).https://doi.org/10.1007/s10462-021-10061-9.

  4. S. K. Zhou, Ngan T.H. Le, K. Luu, H. Nguyen, N. Ayache, "Deep reinforcement learning in medical imaging: A literature review", Medical Image Analysis, vol. 73, pp. 102193, 2021, https://doi.org/10.1016/j.media.2021.102193.

  5. Quang Nguyen, Ngan T.H. Le, Wang, Jia-Ching, "Teaching Yourself: A Self-Knowledge Distillation Approach to Action Recognition" Vol. 9, pp.105711 - 105723, IEEE Access 2021

  6. Ngan T.H. Le, Toan Bui, Kashu Yamazaki, Khoa Vo, Khoa Luu, "Narrow Band Active Contour Attention Model for Medical Segmentation ", Diagnostics, 2021, 11(8), 1393

  7. T. D. Truong , C. N. Duong, M.T.Tran, Ngan T.H. Le, K. Luu "Fast Flow Reconstruction via Robust Invertible n×n Convolution", Future Internet, 2021, 13(7), 179

  8. Ngan T.H. Le, J.Sorensen, T. Bui, A.Choudhary, K.Luu, H.Nguyen, "Enhance Portable Radiograph for Fast and High Accurate Covid-19 Monitoring ", Diagnostics, 2021, 11(6), 1080

  9. C. N. Duong, K. G. Quach, K. Luu, Ngan T.H. Le, M. Savvides, T.B. Dai, ”Learning from Longitudinal Face Demonstration—Where Tractable Deep Modeling Meets Inverse Reinforcement Learning”, International Journal of Computer Vision (2019), Springer, pp. 1–15

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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.

  18. 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

  19. 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.

  20. 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

  21. 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.

  22. 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.

  23. 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.

  24. 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. Quang Nguyen, Ngan. T.H. Le,  Jia-Ching Wang "(2+1)D Distilled ShuffleNet: A Lightweight Unsupervised Distillation Network for Human Action Recognition",  International Conference on Pattern Recognition (ICPR) 2022 (accepted)

  2. Dat Truong, Naga Chappa, Xuan Nguyen, Ngan. T.H. Le Ashley Dowling, Khoa Luu, "OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation",  International Conference on Pattern Recognition (ICPR) 2022 (accepted)

  3. Minh Tran, Khoa Vo, Ngan. T.H. Le "3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation",  International Conference on Pattern Recognition (ICPR) 2022 (accepted)

  4. Minh Tran, Loi Ly, Binh-Son Hua, Ngan Le, "SS-3DCapsNet: Self-supervised 3D Capsule Networks" IEEE International Symposium on Biomedical Imaging (ISBI) 2022 

  5. Hieu Hoang, Han N. Diep, Triet Tran, Ngan. T.H. Le, "DAM-AL: Dilated Attention Mechanism with Attention Loss for
    3D Infant Brain Image Segmentation", The 37th ACM/SIGAPP Symposium on Applied Computing 2022, Vol. 18, Issue 3, https://doi.org/10.1145/3477314.3507112

  6. Thanh D Truong, Chi N. Duong, The D. Vu, Hoang. A. Pham, Bhiksha  Raj, Ngan. T.H. Le, Khoa. Luu, "The Right to Talk: An Audio-Visual Transformer Approach", International Conference on Computer Vision,  pp. 1105-1114, 2021

  7. Thanh D Truong, Chi N. Duong, Ngan. T.H. Le, Son L. Phung, C.hase Rainwater, Khoa Luu, "BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation", International Conference on Computer Vision, pp. 8548-8557, 2021

  8. Viet-Khoa Vo-Ho,  Hyekang Joo, Kashu Yamakazi, Sang Truong, Kris Kitani, Triet Tran, and Ngan. T.H. Le, "AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation", British Machine Vision Conference  BMVC 2021.

  9. Vuong Ho, Tan Nguyen, Gia-Han Diep, Ngan T.H. Le, Binh-Son Hua, "Point-Unet: A Context-aware Point-based Neural Network for Volumetric Segmentation", Medical Image Computing and Computer Assisted Intervention MICCAI, pp. 644-655. Springer, Cham, 2021.

  10. Tan Nguyen, Binh-Son Hua, Ngan T.H. Le, "3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation", Medical Image Computing and Computer Assisted Intervention MICCAI, pp. 548-558. Springer, Cham, 2021.

  11. Duc Le, Vidhiwar S Rathour, Sang Truong, Duc Le, Ngan T.H. Le, "Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification",  pp. 1-5, IEEE Biomedical and Health Informatics 2021.

  12. Ngan T.H. Le, J. Sorensen, T. Bui, A. Choudhary, K. Luu, H. Nguyen, "PairFlow: Enhancing Portable Chest X-Ray by Flow-based Deformation for Covid-19 Diagnosing", 28th IEEE International Conference on Image Processing (IEEE - ICIP), September 2021

  13. Viet-Khoa Vo-Ho, Ngan T.H. Le, Kashu Yamakazi, Akihiro Sugimoto, Triet Tran, "Agent-Environment Network for Temporal Action Proposal Generation", pp. 2160-2164, International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021.

  14. Vidhiwar Singh Rathour, Kashu Yamakazi and Ngan T.H. Le, "Roughness Index and Roughness Distance for Benchmarking Medical Segmentation", Bioimaging2021, Vol. 2, ISBN: 978-989-758-490-9, pages 82-93, 2021

  15. Ngan T.H. Le, Trung Le, Toan Bui, Khoa Luu "Offset Curves Loss for Imbalanced Problem in Medical Segmentation ", 25th International Conference on Pattern Recognition (ICPR), pp. 6189-6195, Milan, Italy, Jan 10-15, 2021

  16. Ngan T.H. Le, K.Yamazaki,  Q.K.Gia, T.D.Truong, M. Savvides," A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation",  25th International Conference on Pattern Recognition (ICPR), pp. 5943-5950, Milan, Italy, Jan 10-15, 2021

  17. K.Yamazaki, Ngan T.H. Le, V.Rathour, "Invertible residual network with regularization for effective volumetric segmentation", SPIE Medial Imaging 2021 (accepted)

  18. Toan Bui, Manh Nguyen, Ngan T.H. Le, Khoa Luu, "Flow-based Deformation Guidance for Unpaired Multi-Contrast MRI Image-to-Image Translation", MICCAI 2020 , pp 728--737, October 2020

  19. D.T. Truong, C.N.Duong, K.Luu, M.Tran, Ngan T.H. Le, "Domain Generalization via Universal Non-volume Preserving Approach". CRV 2020: 93-100

  20. 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 , pp. 107-118

  21. 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

  22. 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

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

  24. 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

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

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

  27. Ligong Han, Ngan T.H. Le, Marios Savvides ”An Automatic Cells Detection and Segmentation,” SPIE Medical Imaging 2017, doi: 10.1117/12.2254068

  28. 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.

  29. 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

  30. 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

  31. 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

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

  33. NganT.H.Le, KhoaLuu.,and Savvides,M.,”Fast and Robust Self-Training Beard/Moustache Detection and Segmentation,” International Conference on Biometrics (ICB), pp. 1-8, Phuket, Thailand 2015

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

  35. 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

  36. 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.

  37. 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

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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.

  44. 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.

  45. 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.

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

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

  48. 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.

  49. 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.

  50. 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. Minh Tran, Viet-Khoa Vo-Ho, Kyle Quinn, Hien Nguyen, Khoa Luu, Ngan T.H. Le, "CapsNet for Medical Image Segmentation", Deep Learning for Medical Image Analysis, Elsevier/Academic Press (accepted)

  2. Viet-Khoa Vo-Ho, Kashu Yamayaki, Hieu Hoang, Ngan T.H. Le, "Meta-Learning of NAS for Few-shot Learning in Medical Image Applications", Meta-Learning with Medical Imaging and Health Informatics Applications, Elsevier/Academic Press (accepted)

  3. 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,  pp.231-260

  4. Ngan T.H. Le,  K. Luu, C. N. Duong, K. G. Quach, M. Savvides, "Recurrent Level Set Networks for Instance Segmentation", Pattern Recognition - Selected Methods and Application, 2019