| RPCA-KFE: Key Frame Extraction for Video Using Robust Principal Component Analysis C Dang, H Radha Image Processing, IEEE Transactions on 24 (11), 3742-3753, 2015 | 81* | 2015 |
| Heterogeneity Image Patch Index and its Application to Consumer Video Summarization CT Dang, H Radha Image Processing, IEEE Transactions on 23 (6), 2704 - 2718, 2014 | 56 | 2014 |
| Key frame extraction from consumer videos using epitome CT Dang, M Kumar, H Radha 2012 19th IEEE International Conference on Image Processing, 93-96, 2012 | 38 | 2012 |
| Robust massive MIMO channel estimation for 5G networks using compressive sensing technique Z Albataineh, K Hayajneh, HB Salameh, C Dang, A Dagmseh AEU-International Journal of Electronics and Communications 120, 153197, 2020 | 27 | 2020 |
| Image Super-resolution via Local Self-learning Manifold Approximation C Dang, M Aghagolzadeh, H Radha Signal Processing Letters, IEEE 21 (10), 1245-1249, 2014 | 22 | 2014 |
| Single Image Super Resolution via Manifold Linear Approximation using Sparse Subspace Clustering CT Dang, M Aghagolzadeh, AA Moghadam, H Radha Global Conference on Signal and Information Processing (GlobalSIP), 2013 …, 2013 | 15 | 2013 |
| Manifold Methods for Assimilating Geophysical and Meteorological Data in Earth System Models and their Components MSP Ammar Safaie, Chinh Dang, Han Qiu, Hayder Radha Journal of Hydrology, 2016 | 10* | 2016 |
| Fast image super-resolution via selective manifold learning of high-resolution patches HR Chinh Dang Image Processing (ICIP), 2015 IEEE International Conference on, 1319-1323, 2015 | 10* | 2015 |
| Fast single-image super-resolution via tangent space learning of high-resolution-patch manifold C Dang, H Radha IEEE Transactions on Computational Imaging 3 (4), 605-616, 2017 | 8 | 2017 |
| Representative Selection for Big Data via Sparse Graph and Geodesic Grassmann Manifold Distance C Dang, H Radha Signals, Systems and Computers, 2014 48th Asilomar Conference on, 938 - 942, 2014 | 4 | 2014 |
| Image super-resolution via dual-manifold clustering and subspace similarity M Al-Qizwini, C Dang, M Aghagolzadeh, H Radha 2016 IEEE International Conference on Image Processing (ICIP), 1429-1433, 2016 | 3 | 2016 |
| Single Image Super Resolution via Manifold Approximation C Dang, H Radha arXiv preprint arXiv:1410.3349, 2014 | 3 | 2014 |
| Wind speed and direction estimation using manifold approximation C Dang, A Safaie, M Phanikumar, H Radha Proceedings of the 14th International Conference on Information Processing …, 2015 | 2 | 2015 |
| A more practical spectrum sensing technique in cognitive radio networks PD Phong, DT Chinh, VV Yem, NV Khang Advanced Technologies for Communications (ATC), 2010 IEEE International …, 2010 | 2 | 2010 |
| A Novel Clustering Algorithm based on Cooperative and Iterative Evaluation Exchange for University Classification C Dang, TT Thao, V Van Yem, HM Son 2020 IEEE Eighth International Conference on Communications and Electronics …, 2021 | 1 | 2021 |
| Application of Manifold Methods for Data Assimilation in Integrated Earth System Models A Safaie, C Dang, H Radha, MS Phanikumar AGU Fall Meeting Abstracts 2015, H51G-1452, 2015 | | 2015 |
| Sparse and redundant models for data mining and consumer video summarization CT Dang Michigan State University, 2015 | | 2015 |
| A Novel Spectrum Sensing Without Channel State Information Using Estimated Parameters PD Phong, DT Chinh, V Van Yem Journal of Research and Development on Information and Communication Technology, 2010 | | 2010 |
| OR rule and parallel processing technique in multiple antennas for spectrum sensing DP Pham, TC Dang, VY Vu Communications and Electronics (ICCE), 2010 Third IEEE International …, 2010 | | 2010 |
