| Compressive imaging via approximate message passing with image denoising J Tan, Y Ma, D Baron IEEE Transactions on Signal Processing 63 (8), 2085-2092, 2015 | 116 | 2015 |
| Compressive hyperspectral imaging via approximate message passing J Tan, Y Ma, H Rueda, D Baron, GR Arce IEEE Journal of Selected Topics in Signal Processing 10 (2), 389-401, 2015 | 94 | 2015 |
| Dead time compensation for high-flux ranging J Rapp, Y Ma, RMA Dawson, VK Goyal IEEE Transactions on Signal Processing 67 (13), 3471-3486, 2019 | 69 | 2019 |
| High-flux single-photon lidar J Rapp, Y Ma, RMA Dawson, VK Goyal Optica 8 (1), 30-39, 2021 | 67 | 2021 |
| Corner occluder computational periscopy: Estimating a hidden scene from a single photograph SW Seidel, Y Ma, J Murray-Bruce, C Saunders, WT Freeman, ... 2019 IEEE International Conference on Computational Photography (ICCP), 1-9, 2019 | 56 | 2019 |
| Two-dimensional non-line-of-sight scene estimation from a single edge occluder SW Seidel, J Murray-Bruce, Y Ma, C Yu, WT Freeman, VK Goyal IEEE Transactions on Computational Imaging 7, 58-72, 2020 | 45 | 2020 |
| Approximate message passing algorithm with universal denoising and Gaussian mixture learning Y Ma, J Zhu, D Baron IEEE Transactions on Signal Processing 64 (21), 5611-5622, 2016 | 31 | 2016 |
| Optimal control for quantum metrology via Pontryagin's principle C Lin, Y Ma, D Sels Physical Review A 103 (5), 052607, 2021 | 19 | 2021 |
| Accelerated image reconstruction for nonlinear diffractive imaging Y Ma, H Mansour, D Liu, PT Boufounos, US Kamilov 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 18 | 2018 |
| Analysis of approximate message passing with non-separable denoisers and Markov random field priors Y Ma, C Rush, D Baron IEEE Transactions on Information Theory 65 (11), 7367-7389, 2019 | 17 | 2019 |
| Blind multi-spectral image pan-sharpening L Yu, D Liu, H Mansour, PT Boufounos, Y Ma ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 16 | 2020 |
| Analysis of approximate message passing with a class of non-separable denoisers Y Ma, C Rush, D Baron 2017 IEEE International Symposium on Information Theory (ISIT), 231-235, 2017 | 16 | 2017 |
| Compressive imaging via approximate message passing with wavelet-based image denoising J Tan, Y Ma, D Baron 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014 | 14 | 2014 |
| Application of Pontryagin's maximum principle to quantum metrology in dissipative systems C Lin, Y Ma, D Sels Physical Review A 105 (4), 042621, 2022 | 11 | 2022 |
| Compressed sensing via universal denoising and approximate message passing Y Ma, J Zhu, D Baron arXiv preprint arXiv:1407.1944, 2014 | 11 | 2014 |
| Two-part reconstruction with noisy-sudocodes Y Ma, D Baron, D Needell IEEE Transactions on Signal Processing 62 (23), 0-0, 2014 | 10 | 2014 |
| Two-part reconstruction in compressed sensing Y Ma, D Baron, D Needell 2013 IEEE Global Conference on Signal and Information Processing, 1041-1044, 2013 | 10 | 2013 |
| Systems and methods of fusing multi-angle view HD images based on epipolar geometry and matrix completion D Liu, Y Ma, H Mansour, U Kamilov, Y Taguchi, P Boufounos, A Vetro US Patent 10,212,410, 2019 | 9 | 2019 |
| Mismatched estimation in large linear systems Y Ma, D Baron, A Beirami 2015 IEEE International Symposium on Information Theory (ISIT), 760-764, 2015 | 9 | 2015 |
| Empirical Bayes and full Bayes for signal estimation Y Ma, J Tan, N Krishnan, D Baron arXiv preprint arXiv:1405.2113, 2014 | 9 | 2014 |
Dror BaronNorth Carolina State UniversityEmail verificata su ncsu.edu
