Pre-print

  1. Z. Zou, J. Liu, S. Shoushtari, Y. Wang, W. Gan, and U. S. Kamilov, “FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration.”
    [Project Page] [arXiv:2311.15445]
  2. S. Shoushtari, J. Liu, E. P. Chandler, M. S. Asif, and U. S. Kamilov, “Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis.”
    [Project Page] [arXiv:2310.00133]
  3. X. Xu, W. Gan, S. V.V.N. Kothapalli, D. A. Yablonskiy, and U. S. Kamilov, “CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping.”
    [Project Page] [arXiv:2210.06330]
  4. Y. Hu, W. Gan, C. Ying, T. Wang, C. Eldeniz, J. Liu, Y. Chen, H. An, and U. S. Kamilov, “SPICE: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation.”
    [Project Page] [arXiv:2210.02584]
  5. C. Park, W. Gan, Z. Zou, Y. Hu, Z. Sun, U. S. Kamilov, “A Structured Pruning Algorithm for Model-based Deep Learning.”
    [arXiv:2311.02003]
  6. W. Gan, Q. Zhai, M. T. McCann, C. G. Cardona, U. S. Kamilov, and B. Wohlberg, “PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction.”
    [arXiv:2310.07504]
  7. N. Yismaw, U. S. Kamilov, and M. S. Asif, “Domain Expansion via Network Adaptation for Solving Inverse Problems.”
    [arXiv:2310.06235]
  8. H. Xie, W. Gan, B. Zhou, X. Chen, Q. Liu, X. Guo, L. Guo, H. An, U. S. Kamilov, G. Wang, C. Liu, “DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging.”
    [arXiv:2311.04248]

In Press

  1. Y. Hu, M. Delbracio, P. Milanfar, and U. S. Kamilov, “A Restoration Network as an Implicit Prior,” Proc. Int. Conf. Learn. Represent. (ICLR 2024) (Vienna, Austria, May 7-11), in press.
    [Project Page] [arXiv:2310.01391]
  2. J. Hu, W. Gan, Z. Sun, H. An, and U. S. Kamilov, “A Plug-and-Play Image Registration Network,” Proc. Int. Conf. Learn. Represent. (ICLR 2024) (Vienna, Austria, May 7-11), in press.
    [Project Page] [arXiv:2310.04297]
  3. M. Renaud, J. Liu, V. de Bortoli, A. Almansa, and U. S. Kamilov, “Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models,” Proc. Int. Conf. Learn. Represent. (ICLR 2024) (Vienna, Austria, May 7-11), in press.
    [arXiv:2310.03546]
  4. Y. Hu, S. V. V. N. Kothapalli, W. Gan, A. L. Sukstanskii, G. F. Wu, M. Goyal, D. A. Yablonskiy, U. S. Kamilov, “DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model,” Proc. Int. Symp. Biomedical Imaging 2024 (ISBI 2024) (Athens, Greece, May 27-30), in press.
    [arXiv:2311.18073]
  5. S. Shoushtari, J. Liu, and U. S. Kamilov, “DOLPH: Diffusion Models for Phase Retrieval,” 57th Asilomar Conf. Signals, Systems, & Computers 2023, (Pacific Grove, CA, October 29-November 1), in press.
    [arXiv:2211.00529]

Recent Publications

  1. P. Cascarano, A. Benfenati, U. S. Kamilov, and X. Xu, “Constrained Regularization by Denoising With Automatic Parameter Selection,” IEEE Signal Process. Lett., vol. 31, pp. 556-560, 2024.
    [doi:10.1109/LSP.2024.3359569]
  2. C. Park, S. Shoustari, W. Gan, and U. S. Kamilov, “Convergence of Nonconvex PnP-ADMM With MMSE Denoisers,” Proc. Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2023) (Los Suenos, Costa Rica, December 10-13), pp. 511-515.
    [Project Page] [doi:10.1109/CAMSAP58249.2023.10403463] [CAMSAP 2023 Student Paper Award finalist]
  3. E. P. Chandler, S. Shoustari, J. Liu, M. S. Asif, and U. S. Kamilov, “Overcoming Distribution Shifts in Plug-And-Play Methods With Test-Time Training,” Proc. Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2023) (Los Suenos, Costa Rica, December 10-13), pp. 186-190.
    [doi:10.1109/CAMSAP58249.2023.10403502]
  4. W. Gan, S. Shoushtari, Y. Hu, J. Liu, H. An, and U. S. Kamilov, “Block Coordinate Plug-and-Play Methods for Blind Inverse Problems,” Proc. Ann. Conf. Neural Information Processing Systems (NeurIPS 2023) (New Orleans, LA, December 10-December 16).
    [Project Page] [arXiv:2305.12672]
  5. S. Hurault, U. S. Kamilov, A. Leclaire, and N. Papadakis, “Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems,” Proc. Ann. Conf. Neural Information Processing Systems (NeurIPS 2023) (New Orleans, LA, December 10-December 16).
    [arXiv:2306.03466]

Notable Publications

  1. C. Park, S. Shoustari, W. Gan, and U. S. Kamilov, “Convergence of Nonconvex PnP-ADMM With MMSE Denoisers,” Proc. Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2023) (Los Suenos, Costa Rica, December 10-13), pp. 511-515.
    [Project Page] [doi:10.1109/CAMSAP58249.2023.10403463] [CAMSAP 2023 Student Paper Award finalist]
  2. U. S. Kamilov, V. K. Goyal, and S. Rangan, “Message-Passing De-Quantization with Applications to Compressed Sensing,” IEEE Trans. Signal Process., vol. 60, no. 12, pp. 6270–6281, December 2012.
    [doi:10.1109/tsp.2012.2217334] [arXiv:1105.6368] [IEEE SPS Best Paper Award 2017]
  3. U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, 
“Learning Approach to Optical Tomography,” Optica, vol. 2, no. 6, pp. 517–522, June 2015.
    [doi:10.1364/optica.2.000517] [Nature “News and Views”]
  4. H.-Y. Liu, U. S. Kamilov, D. Liu, H. Mansour, and P. T. Boufounos, “Compressive Imaging with Iterative Forward Models,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2017) (New Orleans, USA, March 5-9), pp. 6025-6029.
    [doi:10.1109/ICASSP.2017.7953313] [ICASSP 2017 Student Paper Award finalist]
  5. U. S. Kamilov, V. K. Goyal, and S. Rangan, “Generalized Approximate Message Passing Estimation from Quantized Samples,” Proc. 4th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2011) (San Juan, Puerto Rico, December 13-16), pp. 401-404.
    [10.1109/camsap.2011.6136027] [CAMSAP 2011 Student Paper Award finalist]
  6. Y. Sun, J. Liu, Y. Sun, B. Wohlberg, and U. S. Kamilov, “Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors,” Proc. Int. Conf. Learn. Represent. (ICLR 2021) (Vienna, Austria, May 4-8).
    [OpenReview] [arXiv:2010.01446] [Spotlight: 114/2997 = 4%]