Jiaming Liu - RankMe

56 papers A* 8A 1B 1Misc 7Journal 34Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration. WACV Zihao Zou, Jiaming Liu, Shirin Shoushtari, Yubo Wang, Ulugbek S. Kamilov
2024	J	`jnl`	Overcoming Distribution Shifts in Plug-and-Play Methods with Test-Time Training. CoRR Edward P. Chandler, Shirin Shoushtari, Jiaming Liu, M. Salman Asif, Ulugbek S. Kamilov
2024	A*	`conf`	Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. ICLR Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek Kamilov
2024	A*	`conf`	Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis. ICML Shirin Shoushtari, Jiaming Liu, Edward P. Chandler, M. Salman Asif, Ulugbek S. Kamilov
2024	J	`jnl`	TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy. CoRR Zihao Zou, Shirin Shoushtari, Jiaming Liu, Jialiang Zhang, Patrick Judge, Emilia Santana, Alison Lim, Marcus Foston, Ulugbek S. Kamilov
2023	A*	`conf`	Block Coordinate Plug-and-Play Methods for Blind Inverse Problems. NeurIPS Weijie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu, Hongyu An, Ulugbek Kamilov
2023	J	`jnl`	Block Coordinate Plug-and-Play Methods for Blind Inverse Problems. CoRR Weijie Gan, Shirin Shoushtari, Yuyang Hu, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov
2023	A*	`conf`	DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction. ICCV Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim
2023	Misc	`conf`	Diffusion Models for Phase Retrieval in Computational Imaging. ACSSC Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov
2023	Misc	`conf`	Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN. ICASSP Tomás Kerepecký, Jiaming Liu, Xue Wen Ng, David W. Piston, Ulugbek S. Kamilov
2023	J	`jnl`	FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration. CoRR Zihao Zou, Jiaming Liu, Shirin Shoushtari, Yubo Wang, Weijie Gan, Ulugbek S. Kamilov
2023	—	`conf`	Overcoming Distribution Shifts in Plug-and-Play Methods with Test- Time Training. CAMSAP Edward P. Chandler, Shirin Shoushtari, Jiaming Liu, M. Salman Asif, Ulugbek S. Kamilov
2023	J	`jnl`	Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. CoRR Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek S. Kamilov
2023	J	`jnl`	Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis. CoRR Shirin Shoushtari, Jiaming Liu, Edward P. Chandler, M. Salman Asif, Ulugbek S. Kamilov
2023	Misc	`conf`	Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model. ICASSP Junhao Hu, Shirin Shoushtari, Zihao Zou, Jiaming Liu, Zhixin Sun, Ulugbek S. Kamilov
2023	J	`jnl`	Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction. IEEE Trans. Computational Imaging Weijie Gan, Chunwei Ying, Parna Eshraghi Boroojeni, Tongyao Wang, Cihat Eldeniz, Yuyang Hu, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov
2022	J	`jnl`	DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction. CoRR Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim
2022	J	`jnl`	DOLPH: Diffusion Models for Phase Retrieval. CoRR Shirin Shoushtari, Jiaming Liu, Ulugbek S. Kamilov
2022	J	`jnl`	Deep Model-Based Architectures for Inverse Problems Under Mismatched Priors. IEEE J. Sel. Areas Inf. Theory Shirin Shoushtari, Jiaming Liu, Yuyang Hu, Ulugbek S. Kamilov
2022	J	`jnl`	Deep Model-Based Architectures for Inverse Problems under Mismatched Priors. CoRR Shirin Shoushtari, Jiaming Liu, Yuyang Hu, Ulugbek S. Kamilov
2022	J	`jnl`	Deformation-Compensated Learning for Image Reconstruction Without Ground Truth. IEEE Trans. Medical Imaging Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov
2022	J	`jnl`	Dual-Cycle: Self-Supervised Dual-View Fluorescence Microscopy Image Reconstruction using CycleGAN. CoRR Tomás Kerepecký, Jiaming Liu, Xue Wen Ng, David W. Piston, Ulugbek S. Kamilov
2022	B	`conf`	Monotonically Convergent Regularization by Denoising. ICIP Yuyang Hu, Jiaming Liu, Xiaojian Xu, Ulugbek S. Kamilov
2022	J	`jnl`	Monotonically Convergent Regularization by Denoising. CoRR Yuyang Hu, Jiaming Liu, Xiaojian Xu, Ulugbek S. Kamilov
2022	A*	`conf`	Online Deep Equilibrium Learning for Regularization by Denoising. NeurIPS Jiaming Liu, Xiaojian Xu, Weijie Gan, Shirin Shoushtari, Ulugbek Kamilov
2022	J	`jnl`	Online Deep Equilibrium Learning for Regularization by Denoising. CoRR Jiaming Liu, Xiaojian Xu, Weijie Gan, Shirin Shoushtari, Ulugbek S. Kamilov
2022	J	`jnl`	Robustness of Deep Equilibrium Architectures to Changes in the Measurement Model. CoRR Junhao Hu, Shirin Shoushtari, Zihao Zou, Jiaming Liu, Zhixin Sun, Ulugbek S. Kamilov
2022	J	`jnl`	Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees. CoRR Weijie Gan, Chunwei Ying, Parna Eshraghi, Tongyao Wang, Cihat Eldeniz, Yuyang Hu, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov
2021	A*	`conf`	Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. ICLR Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek Kamilov
2021	J	`jnl`	CoIL: Coordinate-Based Internal Learning for Tomographic Imaging. IEEE Trans. Computational Imaging Yu Sun, Jiaming Liu, Mingyang Xie, Brendt Wohlberg, Ulugbek S. Kamilov
2021	—	`conf`	Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth. ISBI Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov
2021	—	`conf`	Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography. ICCVW Mingyang Xie, Jiaming Liu, Yu Sun, Weijie Gan, Brendt Wohlberg, Ulugbek S. Kamilov
2021	J	`jnl`	MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth. CoRR Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov
2021	A*	`conf`	Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition. NeurIPS Jiaming Liu, M. Salman Asif, Brendt Wohlberg, Ulugbek Kamilov
2021	J	`jnl`	Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition. CoRR Jiaming Liu, M. Salman Asif, Brendt Wohlberg, Ulugbek S. Kamilov
2021	J	`jnl`	SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees. IEEE Trans. Computational Imaging Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov
2021	J	`jnl`	SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees. CoRR Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov
2021	—	`conf`	SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth. ICCVW Weijie Gan, Yuyang Hu, Cihat Eldeniz, Jiaming Liu, Yasheng Chen, Hongyu An, Ulugbek S. Kamilov
2021	Misc	`conf`	Stochastic Deep Unfolding for Imaging Inverse Problems. ICASSP Jiaming Liu, Yu Sun, Weijie Gan, Xiaojian Xu, Brendt Wohlberg, Ulugbek S. Kamilov
2020	J	`jnl`	A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network. IEEE Signal Process. Lett. Guangxiao Song, Yu Sun, Jiaming Liu, Zhijie Wang, Ulugbek S. Kamilov
2020	J	`jnl`	Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors. CoRR Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek S. Kamilov
2020	J	`jnl`	Block Coordinate Regularization by Denoising. IEEE Trans. Computational Imaging Yu Sun, Jiaming Liu, Ulugbek S. Kamilov
2020	Misc	`conf`	Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling. ACSSC Xiaojian Xu, Jiaming Liu, Yu Sun, Brendt Wohlberg, Ulugbek S. Kamilov
2020	J	`jnl`	Deep Image Reconstruction using Unregistered Measurements without Groundtruth. CoRR Weijie Gan, Yu Sun, Cihat Eldeniz, Jiaming Liu, Hongyu An, Ulugbek S. Kamilov
2020	Misc	`conf`	Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth. ACSSC Weijie Gan, Cihat Eldeniz, Jiaming Liu, Sihao Chen, Hongyu An, Ulugbek S. Kamilov
2020	J	`jnl`	Joint Reconstruction and Calibration using Regularization by Denoising. CoRR Mingyang Xie, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov
2020	J	`jnl`	Provable Convergence of Plug-and-Play Priors With MMSE Denoisers. IEEE Signal Process. Lett. Xiaojian Xu, Yu Sun, Jiaming Liu, Brendt Wohlberg, Ulugbek S. Kamilov
2020	J	`jnl`	RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth. IEEE J. Sel. Top. Signal Process. Jiaming Liu, Yu Sun, Cihat Eldeniz, Weijie Gan, Hongyu An, Ulugbek S. Kamilov
2020	J	`jnl`	SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors. IEEE J. Sel. Top. Signal Process. Zihui Wu, Yu Sun, Alex Matlock, Jiaming Liu, Lei Tian, Ulugbek S. Kamilov
2019	A*	`conf`	Block Coordinate Regularization by Denoising. NeurIPS Yu Sun, Jiaming Liu, Ulugbek Kamilov
2019	J	`jnl`	Block Coordinate Regularization by Denoising. CoRR Yu Sun, Jiaming Liu, Ulugbek S. Kamilov
2019	Misc	`conf`	Image Restoration Using Total Variation Regularized Deep Image Prior. ICASSP Jiaming Liu, Yu Sun, Xiaojian Xu, Ulugbek S. Kamilov
2019	J	`jnl`	Infusing Learned Priors into Model-Based Multispectral Imaging. CoRR Jiaming Liu, Yu Sun, Ulugbek S. Kamilov
2019	—	`conf`	Online Regularization by Denoising with Applications to Phase Retrieval. ICCV Workshops Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek Kamilov
2019	J	`jnl`	Online Regularization by Denoising with Applications to Phase Retrieval. CoRR Zihui Wu, Yu Sun, Jiaming Liu, Ulugbek S. Kamilov
2018	J	`jnl`	Image Restoration using Total Variation Regularized Deep Image Prior. CoRR Jiaming Liu, Yu Sun, Xiaojian Xu, Ulugbek S. Kamilov