| Plug-and-play ADMM for image restoration: Fixed-point convergence and applications SH Chan, X Wang, OA Elgendy IEEE Transactions on Computational Imaging 3 (1), 84-98, 2016 | 890 | 2016 |
| An augmented Lagrangian method for total variation video restoration SH Chan, R Khoshabeh, K Gibson, PE Gill, TQ Nguyen IEEE Transactions on Image Processing 20 (11), 3097-3111, 2011 | 549 | 2011 |
| Stochastic blockmodel approximation of a graphon: Theory and consistent estimation EM Airoldi, TB Costa, SH Chan Advances in Neural Information Processing Systems 26, 2013 | 232 | 2013 |
| Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium GT Buzzard, SH Chan, CA Bouman arXiv preprint arXiv:1705.08983, 2017 | 221 | 2017 |
| Plug-and-play methods for magnetic resonance imaging: Using denoisers for image recovery R Ahmad, CA Bouman, GT Buzzard, S Chan, S Liu, ET Reehorst, ... IEEE signal processing magazine 37 (1), 105-116, 2020 | 218 | 2020 |
| A Consistent Histogram Estimator for Exchangeable Graph Models SH Chan, EM Airoldi Proceedings of The 31st International Conference on Machine Learning, 208-216, 2014 | 130 | 2014 |
| Adaptive image denoising by targeted databases E Luo, SH Chan, TQ Nguyen IEEE transactions on image processing 24 (7), 2167-2181, 2015 | 128 | 2015 |
| Depth reconstruction from sparse samples: Representation, algorithm, and sampling LK Liu, SH Chan, TQ Nguyen IEEE Transactions on Image Processing 24 (6), 1983-1996, 2015 | 120 | 2015 |
| Monte Carlo non local means: Random sampling for large-scale image filtering SH Chan, T Zickler, YM Lu IEEE Transactions on Image Processing 23 (8), 3711-3725, 2014 | 106 | 2014 |
| Subpixel motion estimation without interpolation SH Chan, DT Võ, TQ Nguyen 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 104 | 2010 |
| A super-resolution and fusion approach to enhancing hyperspectral images C Kwan, JH Choi, SH Chan, J Zhou, B Budavari Remote Sensing 10 (9), 1416, 2018 | 82 | 2018 |
| Simulating Anisoplanatic Turbulence by Sampling Inter-modal and Spatially Correlated Zernike Coefficients N Chimitt, SH Chan 2020 IEEE International Conference on Computational Photography, 2020 | 80* | 2020 |
| Accelerating atmospheric turbulence simulation via learned phase-to-space transform Z Mao, N Chimitt, SH Chan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 79 | 2021 |
| Optical adversarial attack A Gnanasambandam, AM Sherman, SH Chan Proceedings of the IEEE/CVF International Conference on Computer Vision, 92-101, 2021 | 77 | 2021 |
| Performance analysis of plug-and-play ADMM: A graph signal processing perspective SH Chan IEEE Transactions on Computational Imaging 5 (2), 274-286, 2019 | 76 | 2019 |
| Adaptive image denoising by mixture adaptation E Luo, SH Chan, TQ Nguyen IEEE transactions on image processing 25 (10), 4489-4503, 2016 | 74 | 2016 |
| Learning 3d-aware egocentric spatial-temporal interaction via graph convolutional networks C Li, Y Meng, SH Chan, YT Chen 2020 IEEE International Conference on Robotics and Automation (ICRA), 8418-8424, 2020 | 71 | 2020 |
| Resolution enhancement for hyperspectral images: a super-resolution and fusion approach C Kwan, JH Choi, S Chan, J Zhou IEEE International Conference on Acoustics, Speech & Signal Processing, 2017 | 69 | 2017 |
| Images from bits: non-iterative image reconstruction for quanta image sensors SH Chan, OA Elgendy, X Wang MDPI Sensors Special Issue on Photon Counting Sensors 16 (11), 1961, 2016 | 69 | 2016 |
| Image reconstruction of static and dynamic scenes through anisoplanatic turbulence Z Mao, N Chimitt, SH Chan IEEE Transactions on Computational Imaging 6, 1415-1428, 2020 | 68* | 2020 |
Truong NguyenUCSDEmail verificata su eng.ucsd.edu
