Dr. Raja Giryes

ביה"ס להנדסת חשמל סגל אקדמי בכיר
Dr. Raja Giryes
Phone: 03-6405630
Office: Electrical Engineering, 132

Biography

I am a faculty member  in the Department of EE - Systems at Tel Aviv University.

I have done a Postdoc in the Department of Electrical and Computer Engineering at Duke University, working with Prof. Guillermo Saprio.

I have received my BSc, MSc and PhD from the Department of Computer Science at the Technion — IIT.

My MSc advisors were Prof. Michael Elad and Prof. Yonina Eldar and my PhD  advisor was Prof. Michael Elad.

 

Research Interests

  • Signal and image processing: theory and applications
  • Deep learning
  • Sparse representations
  • Compressed sensing
  • Low dimensional signal modeling
  • Low-light imaging
  • Computational imaging
  • Task-driven sensing
  • Inverse problems

Publications

  •  Journal Publications
  • E. Schwartz, R. Giryes, and A. M. Bronstein, “DeepISP: Learning End-to-End Image Processing Pipeline”, submitted to IEEE Transactions on Image Processing, 2018. Article and dataset
  • T. Levy, A. Vahid and R. Giryes, Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion, submitted, 2018. Article
  • T. Tirer and R. Giryes, “Image Restoration by Iterative Denoising and Backward Projections”, submitted to IEEE Transactions on Image Processing, 2018. Article
  • T. Tirer and R. Giryes, “Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces”, submitted, 2017. Article
  • G. Leibovitz, R. Giryes, “Efficient Sparse Recovery Pursuits with Least Squares”, submitted, 2018. Article
  • R. Hanocka, N. Fish, Z. Wang, R. Giryes, S. Fleishman and D. Cohen-Or, “ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning”, submitted to ACM Transactions on Graphics, 2018. Article
  • H. Haim, S. Elmalem, R. Giryes, A. M. Bronstein and E. Marom, “Depth Estimation from a Single Image using Deep Learned Phase Coded Mask”, to appear in IEEE Transactions on Computational Imaging, 2018. Dataset   
    Won the first place at the OSA student grand challenge of “the optical system of the future”
  • T. Remez, O. Litany, R. Giryes and Alex M. Bronstein, “Class-Aware Fully-Convolutional Gaussian and Poisson Denoising”, to appear in IEEE Transactions on Image Processing, 2018
  • S. Elmalem, R. Giryes, and E. Marom, “Learned phase coded aperture for the benefit of depth of field extension” Optics Express, vol. 26, no. 12, pp. 15316-15331, 2018. Article
  • S. Zucker and R. Giryes, “Shallow Transits – Deep Learning I: Feasibility Study of Deep Learning to Detect Periodic Transits of Exoplanets”, The Astronomical Journal, vol. 155, no. 4, 2018. Article
  • R. Giryes, Y. C. Eldar, A. M. Bronstein and G. Sapiro, “Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems”, IEEE Transactions on Signal Processing, vol. 66, no. 7, pp. 1676-1690, 2018. Article
  • J. Sokolic, R. Giryes, G. Sapiro and M. R. D. Rodrigues, “Robust Large Margin Deep Neural Networks”, IEEE Transactions on Signal Processing, vol. 65, no. 16, pp. 4265 – 4280, 2017. Article
  • Arie Rond, Raja Giryes and Michael Elad, “Poisson Inverse Problems by the Plug-and-Play scheme”, Journal of Visual Communication and Image Representation, vol. 41, pp. 96-108, Nov. 2016. Article   Best Paper Award Honorable Mention
  • Y. Dar, A. M. Bruckstein, M. Elad and R. Giryes, “Postprocessing of Compressed Images via Sequential Denoising”, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3044-3058, Jul. 2016. Article
  • R. Giryes, G. Sapiro and A.M. Bronstein, “Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? “,  IEEE Transactions on Signal Processing, vol. 64, no. 13, pp. 3444-3457, Jul. 2016. Article
  • R.Giryes, “A Greedy Algorithm for the Analysis Transform Domain”, Neurocomputing, vol. 173, no. 2, pp. 278–289, Jan. 2016. Article
  • R. Giryes, “Sampling in the Analysis transform Domain”, Applied and Computational Harmonic Analysis, vol. 40, no. 1, pp. 172–185, Jan. 2016.  Article
  • R. Giryes, M. Elad and A.M. Bruckstein, “Sparsity Based Methods for Overparameterized Variational Problems”,SIAM journal on imaging sciences (SIIMS), vol. 8, no. 3, pp. 2133-2159, 2015, Article
  • R.Giryes and D.Needell, “Greedy Signal Space Methods for incoherence and beyond”, Applied and Computational Harmonic Analysis, vol. 39, no. 1, pp. 1-20, July 2015. Article
  • R. Giryes and M. Elad, “Sparsity Based Poisson Denoising with Dictionary Learning”, IEEE Transactions on Image Processing, vol. 23, no. 12, pp. 5057-5069, Dec. 2014. Article   Code
  • R. Giryes, S. Nam, M. Elad, R. Gribonval and M.E. Davies, “Greedy-Like Algorithms for the Cosparse Analysis Model”, Linear Algebra and its Applications, vol. 441, pp. 22-60, 15 January 2014.  Article    Code
  • R. Giryes and M. Elad, “RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT”, IEEE Transactions on Signal Processing, vol. 60, no. 3, pp.1465-1468, March 2012. Article
  • A.M. Bruckstein, T. Etzion, R. Giryes, N. Gordon, R.J. Holt and D. Shuldiner, “Simple and Robust Binary Self-Location Patterns”, IEEE Transactions on Information Theory, vol.58, no.7, pp.4884-4889, July 2012.  Article
  • R. Giryes, M. Elad, and Y. C. Eldar, “The projected GSURE for automatic parameter tuning in iterative shrinkage methods”, Applied and Computational Harmonic Analysis, Vol. 30, No. 3, Pages 407-422, May 2011.  Article

 

  • Conference Publications
  • D. Jakubovitz and R. Giryes, “Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization”, European Conference on Computer Vision (ECCV), 2018, Munich, Germany. Article
  • T. Tirer and R. Giryes, “An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring”, ICIP, 2018. Article  
  • E. Plaut and R. Giryes, “Matching Pursuit based Convolutional Sparse Coding”, ICASSP, 2018. Code  
  • H. Sreter and R. Giryes, “Learned Convolutional Sparse Coding”, ICASSP, 2018. Article 
  • R. Giryes, Y. C. Eldar, A. M. Bronstein, G. Sapiro, “The Learned Inexact Project Gradient Descent Algorithm”, ICASSP, 2018. 
  • T. Remez, O. Litany, R. Giryes and Alex M. Bronstein, “Deep Class Aware Image Denoising”, ICIP, 2017 
  • G. Alexandroni, Y. Podolsky, O. Litany, T. Remez, Alex M. Bronstein, H. Greenspan and R. Giryes, “White Matter Fiber Representation using Continuous Dictionary Learning”, MICCAI, 2017. Article  
  • J. Sokolic, R. Giryes, G. Sapiro and M. R. D. Rodrigues, “Generalization Error of Invariant Classifiers”, AISTATS, 2017. Article   
  • G. Leibovitz and R. Giryes, “Fast Least Squares Pursuits for Sparse Recovery”, SampTA, 2017. Article  
  • J. Sokolic, R. Giryes, G. Sapiro and M. R. D. Rodrigues, “Generalization Error of Deep Neural Networks: Role of Classification Margin and Data Structure”, SampTA, 2017. Article   
  • R. Giryes, Y. Plan and R. Vershynin, “On the Effective Measure of Dimension in Total Variation Minimization”, In Proc. 11th International Conference on Sampling Theory and Applications (SampTA), 25-29 May, 2015. Article
  • R. Giryes, G. Sapiro and A.M. Bronstein, “On the stability of deep networks “, ICLR, 2014. Article  Poster
  • R. Giryes and M. Elad, “Sparsity Based Poisson Inpainting”, In Proc. IEEE Int. Conf. Imag. Proc., 27-30 October, 2014.  Article
  • R. Giryes and M. Elad, “OMP Performance with Highly Coherent Dictionaries”, In Proc. 10th International Conference on Sampling Theory and Applications (SampTA), 1-5 July, 2013. Article
  • R. Giryes and M. Elad, “Iterative Hard Thresholding with Near Optimal Projection for Signal Recovery”, In Proc. 10th International Conference on Sampling Theory and Applications (SampTA), 1-5 July, 2013.  Article
  • R. Giryes and M. Elad, “Can we allow linear dependencies in the dictionary in the synthesis framework?”, In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 26-31 May, 2013. Article
  • R. Giryes and M. Elad, “Sparsity Based Poisson Denoising”, in Proc. IEEE 27-th Convention of Electronics and Electrical Engineers in Israel (IEEEI’12), Eilat, Israel, Nov. 2012.  Article
  • R. Giryes and M. Elad, “CoSaMP and SP for the Co-Sparse Analysis Model”, In Proc. European Signal Processing Conference (EUSIPCO), Bucharest, Rumania, Aug. 27-31, 2012. Article
  • R. Giryes and M. Elad, “Denoising with Greedy-Like Pursuit Algorithms”, In Proc. European Signal Processing Conference (EUSIPCO), Barcelona, Spain, Aug. 29, 2011. Article
  • R. Giryes, S. Nam, R. Gribonval, M. E. Davies, “Iterative cosparse projection algorithms for the recovery of cosparse vectors”, In Proc. European Signal Processing Conference (EUSIPCO), Barcelona, Spain, Aug. 29, 2011. Article
  • R. Giryes and V. Cevher, “Online performance guarantees for sparse recovery”, In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 22-27 May, 2011. Article
  • R. Giryes, Y. C. Eldar and M. Elad, “Automatic Parameter Setting for Iterative Shrinkage Methods”, in Proc. IEEE 25-th Convention of Electronics and Electrical Engineers in Israel (IEEEI’08), Eilat, Israel, Dec. 2008. Article
  • R. Giryes, A. M. Bronstein, Y. Moshe, M. M. Bronstein, “Embedded System for 3D Shape Reconstruction”, In Proc. European DSP Education and Research Symposium (EDERS), 2008.  Article

 

Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
UI/UX Basch_Interactive