Items where Author is "Tăng Văn Hạ"

Journals peer-reviewed by Scopus

Tang, V.H. and Duong, S.T.M. and Nguyen, C.D.T. and Huynh, T.M. and Duc, V.T. and Phan, C. and Le, H. and Bui, T. and Truong, S.Q.H. (2023) Wavelet radiomics features from multiphase CT images for screening hepatocellular carcinoma: analysis and comparison. Scientific Reports, 13 (1). ISSN 20452322

Vuong, Anh Tuan and Ha Tang, Van and Ngo, Long Thanh (2021) A Hyperspectral Image Denoising Approach via Low-Rank Matrix Recovery and Greedy Bilateral. In: 15th RIVF International Conference on Computing and Communication Technologies, RIVF 2021, 2 December 2021through 4 December 2021, Hanoi.

Nguyen, Uyen and Tong, Truong Giang and Thang Hoa, Tat and Ha, Dai Duong and Ha Tang, Van (2021) A Non-local Low Rank and Total Variation Approach for Depth Image Estimation. In: 15th RIVF International Conference on Computing and Communication Technologies, RIVF 2021, 2 December 2021through 4 December 2021, Hanoi.

Tang Ha, V. and Bouzerdoum, A. and Phung, S.L. (2021) Variational Bayesian Compressive Multipolarization Indoor Radar Imaging. IEEE Transactions on Geoscience and Remote Sensing. ISSN 1962892 (In Press)

Nguyen, V.-G. and Tang, V.H. (2020) Autofocusing panoramic radiographic image by all-in-focus image fusion. In: 2020 RIVF International Conference on Computing and Communication Technologies, RIVF 2020, 14 October 2020 through 15 October 2020.

Tang, V.H. and Bouzerdoum, A. and Phung, S.L. (2020) Compressive Radar Imaging of Stationary Indoor Targets with Low-Rank plus Jointly Sparse and Total Variation Regularizations. IEEE Transactions on Image Processing, 29: 9007608. pp. 4598-4613. ISSN 10577149

Tang, V.H. and Nguyen, M.U. (2020) Depth Image Reconstruction Using Low Rank and Total Variation Representations. In: 6th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2020, 24 August 2020 through 28 August 2020.

Tang, V.H. and Bouzerdoum, A. and Phung, S.L. (2020) A variational Bayesian approach for multichannel through-wall radar imaging with low-rank and sparse priors. In: 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, 4 May 2020 through 8 May 2020.

Tang, V.H. and Bouzerdoum, A. and Phung, S.L. (2019) Radar Stationary and Moving Indoor Target Localization with Low-rank and Sparse Regularizations. In: 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 12 May 2019 through 17 May 2019.

Van Tang, H. and Nguyen, V.-G. (2019) A rank-deficient and sparse penalized optimization model for compressive indoor radar imaging. In: 3rd International Conference on Recent Advances in Signal Processing, Telecommunications and Computing, SigTelCom 2019, 21 March 2019 through 22 March 2019.

Nguyen, M.U. and Dao, T.T. and Tang, V.H. (2018) Efficient Depth Image Reconstruction using Accelerated Proximal Gradient Method. In: 10th International Conference on Knowledge and Systems Engineering, KSE 2018, 1 November 2018 through 3 November 2018.

Van Ha, T. and Bouterdoum, A. and Phung, S.L. (2018) A Matrix Completion Approach for Wall-Clutter Mitigation in Compressive Radar Imaging of Indoor Targets. In: 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, 15 April 2018 through 20 April 2018.

Tang, V.H. and Bouzerdoum, A. and Phung, S.L. (2018) Multipolarization Through-Wall Radar Imaging Using Low-Rank and Jointly-Sparse Representations. IEEE Transactions on Image Processing, 27 (4): 8234683. pp. 1763-1776. ISSN 10577149

Tang, V.H. and Bouzerdoum, A. and Phung, S.L. (2017) Wall clutter mitigation for radar imaging of indoor targets: A matrix completion approach. In: 21st Asia Pacific Symposium on Intelligent and Evolutionary Systems, IES 2017, 15 November 2017 through 17 November 2017.