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).
Sampling signals with Finite Rate of Innovation (FRI);
Image restoration with Linear Expansion of Thresholds (LET).
|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|
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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..