January 2018: Wenmei Bo joins CIG as a MSc student starting from January 2018. Welcome!
January 2018: Terry Pan joins CIG as a MSc student starting from January 2018. Welcome!
December 2017: Shiqi Xu joins CIG as a MSc student starting from January 2018. Welcome!
December 2017: Ulugbek is a recipient of the IEEE Signal Processing Society’s 2017 Best Paper Award (with V. K. Goyal and S. Rangan). The award will be delivered during IEEE ICASSP 2018 in Calgary, Canada.
November 2017: Yu Sun joins CIG as a PhD student starting from January 2018. Welcome!
October 2017: Our manuscript SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering was accepted to IEEE Transactions on Computational Imaging.
October 2017: Our manuscript A Plug-and-Play Priors Approach for Solving Nonlinear Imaging Inverse Problems was accepted to IEEE Signal Processing Letters.
October 2017: Ulugbek will serve as a program committee member for OSA Mathematics in Imaging conference.
October 2017: Ulugbek joined the Journal of Electronic Imaging (JEI) as an Associate Editor.
September 2017: Computational Imaging Group is now recruiting Ph.D. students [see more].
September 2017: Ulugbek joins Washington University in St. Louis as an Assistant Professor.
August 2017: Ulugbek will deliver a plenary talk at the Workshop on Regularized Inverse Problem Solving and High-Dimensional Learning Methods that will be held UCLouvain, Belgium.
June 2017: Ulugbek delivered an invited talk at OSA Mathematics in Imaging in San Francisco, CA, USA.
June 2017: Our accepted ICIP 2017 manuscript is now online “Online Convolutional Dictionary Learning for Multimodal Imaging.”
May 2017: New preprint “SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering.”
May 2017: Paper accepted to OSA Advanced Photonics Congress 2017: “Acceleration of FDTD-based Inverse Design Using a Neural Network Approach.”
May 2017: Two papers accepted to ICIP 2017: “Online Convolutional Dictionary Learning for Multimodal Imaging” and “Fusion of multi-angular aerial images based on epipolar geometry and matrix completion.”
April 2017: Ulugbek delivered a guest lecture for the class “Computational Optical Imaging” at Boston University on nonlinear algorithms for optical imaging.
March 2017: Two papers were accepted to SPARS 2017: “Learning Convolutional Proximal Filters” (with D. Liu and H. Mansour) and “A Kaczmarz Method for Low Rank Matrix Recovery” (with H. Mansour and O. Yilmaz).
February 2017: The manuscript “Compressive Imaging with Iterative Forward Models” is the Best Student Paper Award finalist at IEEE ICASSP 2016.
January 2017: The manuscript “Motion-Adaptive Depth Superresolution” was accepted to IEEE Transactions on Image Processing.
December 2016: Three papers and a letter were accepted to IEEE ICASSP 2016:
- “Compressive Imaging with Iterative Forward Models,” with H.-Y. Liu, D. Liu, H. Mansour, and P. T. Boufounos.
- “Optical Tomography based on a Nonlinear Model that Handles Multiple Scattering,” with M. H. Shoreh, A. Goy, J. Lim, M. Unser, and D. Psaltis.
- “Learning Optimal Nonlinearities for Iterative Thresholding Algorithms,” with H. Mansour.
November 2016: The manuscript “A Parallel Proximal Algorithm for Anisotropic Total Variation Minimization” was accepted to IEEE Transactions on Image Processing.
November 2016: “Learning Bayesian Optimal FISTA with Error Backpropagation” was accepted for an invited session at International BASP Frontiers workshop 2017.
October 2016: The PhD thesis “Sparsity-Driven Statistical Inference for Inverse Problems” received a special distinction from EPFL’s award committee. The official press release is here.
October 2016: Serving as an area chair of ICASSP 2017 for computational imaging.
September 2016: The manuscript “Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization” was accepted to IEEE Transactions on Information Theory.
September 2016: Ulugbek delivered two keynote talks at CoSeRa 2016: “Coherent Distributed Array Imaging under Unknown Position Perturbations” and “Online Blind Deconvolution for Sequential Through-the-Wall-Radar-Imaging.”
August 2016: Ulugbek’s special session on “Large-Scale Computational Imaging with Wave Models” was accepted for ICASSP 2017. The session is organized jointly with Prof. Laura Waller and Dr. Brendt Wohlberg.
August 2016: Ulugbek delivered two keynote talks at iTWIST 2016: “Learning MMSE Optimal Thresholds for FISTA” and “Minimizing Isotropic Total Variation without Subiterations.”
July 2016: Three papers were accepted to CoSeRa 2016.
July 2016: Ulugbek delivered an invited talk at NYU Tandon School of Engineering on “Trainable iterative algorithms for computational sensing.”
June 2016: The manuscript “A Recursive Born Approach to Nonlinear Inverse Scattering” was accepted to IEEE Signal Processing Letters.
April 2016: The manuscript “Depth Superresolution using Motion Adaptive Regularization” was accepted to IEEE ICMEW 2016.
April 2016: Ulugbek delivered an invited talk at Tufts University‘s ECE Colloquia on “Compressive Imaging with Learning Tomography.”