Photo

Ulugbek S. Kamilov

Research Scientist

Computational Sensing
Mitsubishi Electric Research Laboratories (MERL)

201 Broadway, 8th Floor
Cambridge, MA 02139, USA

Publications

Journal

  1. U. S. Kamilov and P. T. Boufounos, "Motion-Adaptive Depth Superresolution," IEEE Trans. Image Process, vol. 26, no. 4, April 2017. [link]

  2. U. S. Kamilov, "A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization," IEEE Trans. Image Process., vol. 26, no. 2, pp. 539-548, February 2017. [link]

  3. S. Rangan, A. K. Fletcher, P. Schniter, and U. S. Kamilov, "Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization," IEEE Trans. Inf. Theory., vol. 63, no. 1, pp. 676-697, January 2017. [link] [pre-print]

  4. U. S. Kamilov, D. Liu, H. Mansour, and P. T. Boufounos, "A Recursive Born Approach to Nonlinear Inverse Scattering," IEEE Signal Process. Letters, vol. 23, no. 8, pp. 1052-1056, August 2016. [link] [pre-print]

  5. U. S. Kamilov and H. Mansour, "Learning optimal nonlinearities for iterative thresholding algorithms," IEEE Signal Process. Letters, vol. 23, no. 5, pp. 747-751, May 2016. [link] [pre-print]

  6. U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, "Optical tomographic image reconstruction based on beam propagation and sparse regularization," IEEE Trans. Comput. Imag., vol. 2, no. 1, pp. 59-70, March 2016. [link]

  7. 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. [link]

  8. U. S. Kamilov, I. N. Papadopoulos, M. H. Shoreh, D. Psaltis, and M. Unser, "Isotropic inverse-problem approach for two-dimensional phase unwrapping," J. Opt. Soc. Am. A, vol. 32, no. 6, pp. 1092-1100, June 2015. [link] [pre-print] [code]

  9. U. S. Kamilov, E. Bostan, and M. Unser, "Variational Justification of Cycle Spinning for Wavelet-Based Solutions of Inverse Problems," IEEE Signal Process. Letters, vol. 21, no. 11, pp. 1326-1330, November 2014. [link] [pre-print]

  10. U. S. Kamilov, S. Rangan, A. K. Fletcher, and M. Unser, "Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning," IEEE Trans. Inf. Theory., vol. 60, no. 5, pp. 2969-2985, May 2014. [link] [pre-print] [code]

  11. E. Bostan, U. S. Kamilov, M. Nilchian, and M. Unser, "Sparse Stochastic Processes and Discretization of Linear Inverse Problems," IEEE Trans. Image Process., vol. 22, no. 7, pp. 2699-2710, July 2013. [link] [pre-print]

  12. A. Kazerouni, U. S. Kamilov, E. Bostan, and M. Unser, "Bayesian Denoising: From MAP to MMSE Using Consistent Cycle Spinning," IEEE Signal Process. Letters, vol. 20, no. 3, pp. 249-252, March 2013. [link] [pre-print] [supplement] [code]

  13. A. Amini, U. S. Kamilov, E. Bostan, and M. Unser, "Bayesian Estimation for Continuous-Time Sparse Stochastic Processes," IEEE Trans. Signal Process., vol. 61, no. 4, pp. 907-920, February 2013. [link] [pre-print] [code]

  14. U. S. Kamilov, P. Pad, A. Amini, and M. Unser, "MMSE Estimation of Sparse Lévy Processes," IEEE Trans. Signal Process., vol. 61, no. 1, pp. 137-147, January 2013. [link] [pre-print] [code]

  15. 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. [link] [pre-print] [code]

  16. U. S. Kamilov, A. Bourquard, A. Amini, and M. Unser, "One-Bit Measurements with Adaptive Thresholds," IEEE Signal Process. Letters, vol. 19, no. 10, pp. 607-610, October 2012. [link] [pre-print] [code]

  17. U. S. Kamilov, E. Bostan, and M. Unser, "Wavelet Shrinkage with Consistent Cycle Spinning Generalizes Total Variation Denoising," IEEE Signal Process. Letters, vol. 19, no. 4, pp. 187-190, April 2012. [link] [pre-print] [supplement] [code]

Conference, symposium, and workshop

  1. 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), in press. [pre-print]
    • Student paper award finalist.

  2. M. H. Shoreh, A. Goy, J. Lim, U. S. Kamilov, M. Unser, and D. Psaltis, "Optical Tomography based on a Nonlinear Model that Handles Multiple Scattering," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2017) (New Orleans, USA, March 5-9), in press.

  3. U. S. Kamilov and H. Mansour, "Learning Bayesian Optimal FISTA with Error Backpropagation," Proc. International Biomedical and Astronomical Signal Processing Frontiers Workshop (BASP 2017) (Villars-sur-Ollon, Switzerland, January 29-February 3), in press.

  4. D. Liu, U. S. Kamilov, and P. T. Boufounos, "Compressive Tomographic Radar Imaging with Total Variation Regularization," Proc. IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2016) (Aachen, Germany, September 19-22), pp. 120-123. [link] [pre-print]

  5. D. Liu, U. S. Kamilov, and P. T. Boufounos, "Coherent Distributed Array Imaging under Unknown Position Perturbations," Proc. IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2016) (Aachen, Germany, September 19-22), pp. 105-109. [link] [pre-print]

  6. H. Mansour, U. S. Kamilov, D. Liu, P. Orlik, P. T. Boufounos, K. Parsons, and A. Vetro, "Online Blind Deconvolution for Sequential Through-the-Wall-Radar-Imaging," Proc. IEEE 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar, and Remote Sensing (CoSeRa 2016) (Aachen, Germany, September 19-22), pp. 61-65. [link] [pre-print]

  7. U. S. Kamilov and H. Mansour, "Learning MMSE Optimal Thresholds for FISTA," Proc. 3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST 2016) (Aalborg, Denmark, August 24-26), p. 42. [link] [pre-print]

  8. U. S. Kamilov, "Minimizing Isotropic Total Variation without Subiterations," Proc. 3rd International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST 2016) (Aalborg, Denmark, August 24-26), p. 39. [link] [pre-print]

  9. U. S. Kamilov, I. Papadopoulos, M. Hashemi, A. Goy, M. Unser, and D. Psaltis, "Learning From Examples in Optical Imaging," Proc. OSA Computational Optical Sensing and Imaging Conference (COSI 2016) (Heidelberg, Germany, July 25-28), CT1D.1. [link]

  10. U. S. Kamilov and P. T. Boufounos, "Depth Superresolution using Motion Adaptive Regularization," Proc. 2015 IEEE Int. Conf. Multimedia & Expo Workshops (ICMEW 2016) (Seattle, WA, USA, July 11-15), pp. 1-6. [link] [pre-print]

  11. U. S. Kamilov, "Parallel proximal methods for total variation minimization," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2016) (Shanghai, China, March 20-25), pp. 4697—4701. [link] [pre-print]

  12. J. Castorena, U. S. Kamilov, and P. T. Boufounos, "Autocalibration of Lidar and Optical Cameras via Edge Alignment," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2016) (Shanghai, China, March 20-25), pp. 2862—2866. [link] [pre-print]

  13. H. Mansour and U. S. Kamilov, "Multipath Removal by Online Blind Deconvolution in Through-the-Wall-Imaging," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2016) (Shanghai, China, March 20-25), pp. 3106—3110. [link] [pre-print]

  14. H. Handa, H. Mansour, D. Liu, and U. S. Kamilov, "Extended Target Localization with Total-Variation Denoising in Through-the-Wall-Imaging," Proc. 6th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2015) (Cancun, Mexico, December 13-16), pp. 445–448. [link] [pre-print]

  15. D. Liu, U. S. Kamilov, and P. T. Boufounos, "Sparsity-Driven Distributed Array Imaging," Proc. 6th Int. Workshop on Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP 2015) (Cancun, Mexico, December 13-16), pp. 441–444. [link] [pre-print]

  16. S. Rangan, A. K. Fletcher, P. Schniter, and U. S. Kamilov, "Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization," Proc. 2015 IEEE Int. Symp. Inform. Theory (ISIT 2015) (Hong Kong, June 14-19), pp. 1640–1644. [link] [pre-print]

  17. U. S. Kamilov, A. Bourquard, and M. Unser, "Sparse Image Deconvolution with Message Passing," Proc. 5th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS 2013) (Lausanne, Switzerland, July 8-11). [pre-print]

  18. E. Bostan, U. S. Kamilov, M. Nilchian, and M. Unser, "Consistent Discretization of Linear Inverse Problems using Sparse Stochastic Processes," Proc. 5th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS 2013) (Lausanne, Switzerland, July 8-11). [pre-print]

  19. E. Bostan, J. Fageot, U. S. Kamilov, and M. Unser, "MAP Estimators for Self-Similar Sparse Stochastic Models," Proc. 10th International Conference on Sampling Theory and Applications (SAMPTA 2013) (Bremen, Germany, July 1-5), pp. 197—199. [link] [pre-print]

  20. U. S. Kamilov, A. Bourquard, E. Bostan, and M. Unser, "Autocalibrated Signal Reconstruction from Linear Measurements using Adaptive GAMP," Proc. IEEE. Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2013) (Vancouver, Canada, May 26-31), pp. 5925-5928. [link] [pre-print]

  21. B. Tekin, U. S. Kamilov, E. Bostan, and M. Unser, "Benefits of Consistency in Image Denoising with Steerable Wavelets," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2013) (Vancouver, Canada, May 26-31), pp. 1355-1358. [link] [pre-print]

  22. U. S. Kamilov, S. Rangan, A. K. Fletcher, and M. Unser, "Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning," Proc. 23rd Ann. Conf. Neural Information Processing Systems (NIPS 2012) (Lake Tahoe, Nevada, December 3-6), pp. 2447-2455. [link] [pre-print]
    • Acceptance rate: 370/1467 = 25%.

  23. A. Amini, U. S. Kamilov, and M. Unser, "The Analog Formulation of Sparsity Implies Infinite Divisibility and Rules Out Bernoulli-Gaussian Priors," Proc. IEEE Information Theory Workshop 2012 (ITW 2012) (Lausanne, Switzerland, September 3-7), pp. 687-691. [link] [pre-print]

  24. E. Bostan, U. S. Kamilov, and M. Unser, "Reconstruction of Biomedical Images and Sparse Stochastic Modeling," Proc. Int. Symp. Biomedical Imaging 2012 (ISBI 2012) (Barcelona, Spain, May 2-5), pp. 880-883. [link] [pre-print]

  25. U. S. Kamilov, A. Amini, and M. Unser, "MMSE Denoising of Sparse Lévy Processes via Message Passing," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2012) (Kyoto, Japan, March 25-30), pp. 3637-3640. [link] [pre-print]

  26. U. S. Kamilov, E. Bostan, and M. Unser, "Generalized Total Variation Denoising via Augmented Lagrangian Cycle Spinning with Haar Wavelets," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2012) (Kyoto, Japan, March 25-30), pp. 909-912. [link] [pre-print]

  27. A. Amini, U. S. Kamilov, and M. Unser, "Bayesian Denoising of Generalized Poisson Processes with Finite Rate of Innovation," Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP 2012) (Kyoto, Japan, March 25-30), pp. 3629-3632. [link] [pre-print]

  28. 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. [link] [pre-print]
    • Student paper award finalist.

  29. U. S. Kamilov, V. K. Goyal, and S. Rangan, "Message-Passing Estimation from Quantized Samples," Proc. 4th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS 2011) (Edinburgh, United Kingdom, June 27-June 30), p. 58. [pre-print]

  30. U. S. Kamilov, V. K. Goyal, and S. Rangan, "Optimal Quantization for Compressive Sensing under Message Passing Reconstruction," Proc. 2011 IEEE Int. Symp. Inform. Theory (ISIT 2011) (Saint-Petersburg, Russia, July 31-August 5), pp. 390-394. [link] [pre-print]

Thesis

  1. U. S. Kamilov, "Sparsity-Driven Statistical Inference for Inverse Problems," Swiss Federal Institute of Technology Lausanne, EPFL Thesis no. 6545 (2015), 198 p., March 27, 2015. [link]

  2. U. S. Kamilov, "Optimal Quantization for Compressive Sensing with Relaxed Belief Propagation," Master's Thesis EPFL/MIT, April 2011. [link]

Patents

  1. "System and Method for Through-the-Wall-Radar-Imaging using Total-Variation Denoising," with H. Handa, H. Mansour, and D. Liu, July 22, 2015. [link]

  2. "System and Method for Radar Imaging Using Distributed Arrays and Compressive Sensing," with D. Liu and P. T. Boufounos, July 7, 2015.