Hanjie Pan
Biography
Hanjie Pan was an MPhil student at Image & Video Processing Lab, CUHK. Prof. Thierry Blu was his undergraduate and graduate supervisor. His MPhil study focused on two sparse image restoration problems: 1) Solving the standard ell-1 regularized objective functional with linear expansion of thresholds (LET); 2) Sampling signals (specifically two-dimensional curves) with finite rate of innovation (FRI). He was a visiting research student at Imperial College London supervised by Prof. Pier-Luigi Dragotti during the summer 2010.
He is currently working on sampling of FRI-type signals advised by Prof. Martin Vetterli and Prof. Thierry Blu within Audiovisual Communications Laboratory (LCAV).
Curriculum Vitae
Current work
Sampling signals with Finite Rate of Innovation (FRI);
Image restoration with Linear Expansion of Thresholds (LET).
Education
| Docteur ès Sciences (PhD) | Computer & Communication Sciences | Ecole Polytechnique Fédérale de Lausanne | 01.06.2018 |
| M.Phil. in Electronic Engineering | Digital Signal/Image Processing | The Chinese University of Hong Kong | 31.05.2013 |
| Bachelor of Engineering | Electronic Engineering | The Chinese University of Hong Kong | 31.07.2010 |
Publications
Online data is not available
. Efficient Multi-dimensional Diracs Estimation with Linear Sample Complexity, in IEEE Transactions on Signal Processing, vol. 66, num. 17, p. 4642-4656, 2018-07-20.
. Sparse Recovery of Strong Reflectors With an Application to Non-Destructive Evaluation. IEEE International Ultrasonics Symposium, Kobe, Japan, 2018.
. Sampling at the rate of innovation for ultrasound imaging and localization. , 2018.
. Looking beyond Pixels: Theory, Algorithms and Applications of Continuous Sparse Recovery. EPFL, Lausanne, 2018.
. Hardware And Software For Reproducible Research In Audio Array Signal Processing. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, 2017.
. Optimization Of Compound Regularization Parameters Based On Stein'S Unbiased Risk Estimate. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, 2017.
. LEAP: Looking beyond pixels with continuous-space EstimAtion of Point sources, in Astronomy & Astrophysics, vol. 608, p. A136, 2017.
. Python module for finite rate of innovation (FRI) sampling. , 2017.
. FRIDA: FRI-Based DOA Estimation For Arbitrary Array Layouts. ICASSP 2017, New Orleans, USA, 2017.
. Towards Generalized FRI Sampling with an Application to Source Resolution in Radioastronomy, in IEEE Transactions on Signal Processing, vol. 65, num. 4, p. 821-835Institute of Electrical and Electronics Engineers, Piscataway, 2017.
. Annihilation-driven Localised Image Edge Models. 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Brisbane, 2015.
. Sampling Curves with Finite Rate of Innovation, in IEEE Transactions on Signal Processing, vol. 62, num. 2, p. 458-471Institute of Electrical and Electronics Engineers, Piscataway, 2014.
. An Iterative Linear Expansion of Thresholds for l1-based Image Restoration, in IEEE Transactions on Image Processing, vol. 22, num. 9, p. 3715-3728, 2013.
. Sampling Curves with Finite Rate of Innovation. 9th International Conference on Sampling Theory and Applications, Singapore, 2011.
. Sparse Image Restoration Using Iterated Linear Expansion of Thresholds. 18th IEEE International Conference on Image Processing, Brussels, Belgium, 2011.