Követés
Yu Sun (孙彧)
Yu Sun (孙彧)
Assistant Professor, ECE, Johns Hopkins University
E-mail megerősítve itt: caltech.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
An online plug-and-play algorithm for regularized image reconstruction
Y Sun, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 5 (3), 395-408, 2019
2252019
Image restoration using total variation regularized deep image prior
J Liu, Y Sun, X Xu, US Kamilov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
2212019
RARE: Image reconstruction using deep priors learned without groundtruth
J Liu, Y Sun, C Eldeniz, W Gan, H An, US Kamilov
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1088-1099, 2020
1562020
Efficient and accurate inversion of multiple scattering with deep learning
Y Sun, Z Xia, US Kamilov
Optics express 26 (11), 14678-14688, 2018
1472018
CoIL: Coordinate-based internal learning for tomographic imaging
Y Sun, J Liu, M Xie, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 1400-1412, 2021
112*2021
Block coordinate regularization by denoising
Y Sun, J Liu, US Kamilov
Advances in Neural Information Processing Systems 33, 2019
972019
Scalable plug-and-play ADMM with convergence guarantees
Y Sun*, Z Wu*, X Xu*, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 849-863, 2021
922021
Provable convergence of plug-and-play priors with MMSE denoisers
X Xu, Y Sun, J Liu, B Wohlberg, US Kamilov
IEEE Signal Processing Letters 27, 1280-1284, 2020
822020
Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields
R Liu*, Y Sun*, J Zhu, L Tian, U Kamilov
Nature Machine Intelligence, 2022
79*2022
SIMBA: Scalable inversion in optical tomography using deep denoising priors
Z Wu, Y Sun, A Matlock, J Liu, L Tian, US Kamilov
IEEE Journal of Selected Topics in Signal Processing 14 (6), 1163-1175, 2020
592020
Regularized Fourier ptychography using an online plug-and-play algorithm
Y Sun, S Xu, Y Li, L Tian, B Wohlberg, US Kamilov
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
562019
Online regularization by denoising with applications to phase retrieval
Z Wu, Y Sun, J Liu, U Kamilov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
432019
SGD-Net: Efficient model-based deep learning with theoretical guarantees
J Liu, Y Sun, W Gan, X Xu, B Wohlberg, US Kamilov
IEEE Transactions on Computational Imaging 7, 598-610, 2021
362021
Boosting the performance of plug-and-play priors via denoiser scaling
X Xu, J Liu, Y Sun, B Wohlberg, US Kamilov
2020 54th Asilomar Conference on Signals, Systems, and Computers, 1305-1312, 2020
342020
A new recurrent plug-and-play prior based on the multiple self-similarity network
G Song, Y Sun, J Liu, Z Wang, US Kamilov
IEEE Signal Processing Letters 27, 451-455, 2020
242020
Deformation-compensated learning for image reconstruction without ground truth
W Gan, Y Sun, C Eldeniz, J Liu, H An, US Kamilov
IEEE transactions on medical imaging 41 (9), 2371-2384, 2022
23*2022
Deep learning using a biophysical model for Robust and Accelerated Reconstruction (RoAR) of quantitative and artifact-free R2* images
M Torop, S Kothapalli, Y Sun, J Liu, S Kahali, DA Yablonskiy, US Kamilov
Magnetic Resonance in Medicine, 2019
19*2019
Async-RED: A provably convergent asynchronous block parallel stochastic method using deep denoising priors
Y Sun, J Liu, Y Sun, B Wohlberg, US Kamilov
International Conference on Learning Representations (ICLR), Spotlight, 2021
182021
Learning cross-video neural representations for high-quality frame interpolation
W Shangguan*, Y Sun*, W Gan, US Kamilov
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
172022
Provable probabilistic imaging using score-based generative priors
Y Sun, Z Wu, Y Chen, BT Feng, KL Bouman
IEEE Transactions on Computational Imaging, 2024
132024
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