Jiaming Liu

According to our database, Jiaming Liu authored at least 36 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction.

Weijie Gan, Chunwei Ying, Parna Eshraghi Boroojeni, Tongyao Wang, Cihat Eldeniz, Yuyang Hu, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov

IEEE Trans. Computational Imaging, 2023

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration.

Zihao Zou, Jiaming Liu, Shirin Shoushtari, Yubo Wang, Weijie Gan, Ulugbek S. Kamilov

CoRR, 2023

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models.

Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek S. Kamilov

CoRR, 2023

Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis.

Shirin Shoushtari, Jiaming Liu, Edward P. Chandler, M. Salman Asif, Ulugbek S. Kamilov

CoRR, 2023

Block Coordinate Plug-and-Play Methods for Blind Inverse Problems.

Weijie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu, Hongyu An, Ulugbek Kamilov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction.

Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN.

Tomás Kerepecký, Jiaming Liu, Xue Wen Ng, David W. Piston, Ulugbek S. Kamilov

Proceedings of the IEEE International Conference on Acoustics, 2023

Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model.

Junhao Hu, Shirin Shoushtari, Zihao Zou, Jiaming Liu, Zhixin Sun, Ulugbek S. Kamilov

Proceedings of the IEEE International Conference on Acoustics, 2023

Overcoming Distribution Shifts in Plug-and-Play Methods with Test- Time Training.

Edward P. Chandler, Shirin Shoushtari, Jiaming Liu, M. Salman Asif, Ulugbek S. Kamilov

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Diffusion Models for Phase Retrieval in Computational Imaging.

Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors.

Shirin Shoushtari, Jiaming Liu, Yuyang Hu, Ulugbek S. Kamilov

IEEE J. Sel. Areas Inf. Theory, September, 2022

Deformation-Compensated Learning for Image Reconstruction Without Ground Truth.

Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov

IEEE Trans. Medical Imaging, 2022

DOLPH: Diffusion Models for Phase Retrieval.

Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov

CoRR, 2022

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees.

Weijie Gan, Chunwei Ying, Parna Eshraghi, Tongyao Wang, Cihat Eldeniz, Yuyang Hu, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov

CoRR, 2022

Online Deep Equilibrium Learning for Regularization by Denoising.

Jiaming Liu, Xiaojian Xu, Weijie Gan, Shirin Shoushtari, Ulugbek Kamilov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Monotonically Convergent Regularization by Denoising.

Yuyang Hu, Jiaming Liu, Xiaojian Xu, Ulugbek S. Kamilov

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

CoIL: Coordinate-Based Internal Learning for Tomographic Imaging.

Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, Ulugbek S. Kamilov

IEEE Trans. Computational Imaging, 2021

SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees.

Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

IEEE Trans. Computational Imaging, 2021

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth.

Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov

CoRR, 2021

Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition.

Jiaming Liu, M. Salman Asif, Brendt Wohlberg, Ulugbek Kamilov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth.

Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors.

Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek Kamilov

Proceedings of the 9th International Conference on Learning Representations, 2021

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography.

Mingyang Xie, Jiaming Liu, Yu Sun, Weijie Gan, Brendt Wohlberg, Ulugbek S. Kamilov

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth.

Weijie Gan, Yuyang Hu, Cihat Eldeniz, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Stochastic Deep Unfolding for Imaging Inverse Problems.

Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Block Coordinate Regularization by Denoising.

Yu Sun, Jiaming Liu, Ulugbek S. Kamilov

IEEE Trans. Computational Imaging, 2020

Provable Convergence of Plug-and-Play Priors With MMSE Denoisers.

Xiaojian Xu, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov

IEEE Signal Process. Lett., 2020

A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network.

Guangxiao Song, Yu Sun, Jiaming Liu, Zhijie Wang, Ulugbek S. Kamilov

IEEE Signal Process. Lett., 2020

SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors.

Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov

IEEE J. Sel. Top. Signal Process., 2020

RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth.

Jiaming Liu, Yu Sun, Cihat Eldeniz, Weijie Gan, Hongyu An, Ulugbek S. Kamilov

IEEE J. Sel. Top. Signal Process., 2020

Joint Reconstruction and Calibration using Regularization by Denoising.

Mingyang Xie, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov

CoRR, 2020

Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling.

Xiaojian Xu, Jiaming Liu, Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth.

Weijie Gan, Cihat Eldeniz, Jiaming Liu, Sihao Chen, Hongyu An, Ulugbek S. Kamilov

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Infusing Learned Priors into Model-Based Multispectral Imaging.

Jiaming Liu, Yu Sun, Ulugbek S. Kamilov

CoRR, 2019

Online Regularization by Denoising with Applications to Phase Retrieval.

Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek Kamilov

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Image Restoration Using Total Variation Regularized Deep Image Prior.

Jiaming Liu, Yu Sun, Xiaojian Xu, Ulugbek S. Kamilov

Proceedings of the IEEE International Conference on Acoustics, 2019