Adam Scholefield

Audiovisual Communications Laboratory (LCAV )  
School of Computer and Communication Sciences (IC)  
Ecole Polytechnique Fédérale de Lausanne (EPFL)

Office: BC 344
Address: EPFL-IC-LCAV
Station 14
Lausanne 1015
Switzerland
Phone: (+41) 21 693 81 46
E-mail:  adam.scholefield@epfl.ch
Website:   www.adamscholefield.com

Biography

Adam Scholefield received the MEng in Electric and Electronic Engineering from Imperial College London in 2007.

After a brief interuption of studies to compete in the Olympic Games, he received the PhD from the Communications and Signal Processing Group of Imperial College in 2013. His thesis was titled “Quadtree Structured Approximation Algorithms” and focused on image approximation algorithms with applications in image restoration.

Since June 2014, he has served as a postdoctoral researcher in the Audiovisual Communications Laboratory (LCAV) at EPFL.

Research interests

  • Computational imaging
  • Localisation
  • Computer vision
  • Sampling theory
  • Sparse approximation
  • Image processing

Selected Publications

G. Elhami; M. W. Pacholska; B. Bejar Haro; M. Vetterli; A. J. Scholefield : Sampling at unknown locations: Uniqueness and reconstruction under constraints; IEEE Transactions on Signal Processing. 2018-11-15. DOI : 10.1109/TSP.2018.2872019.
A. J. Scholefield; A. Ghasemi; M. Vetterli : Bound and Conquer: Improving Triangulation by Enforcing Consistency; submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018-03-02.
G. Baechler; F. Dümbgen; G. Elhami; M. Krekovic; R. Scheibler et al. : Combining Range and Direction for Improved Localization. 2018. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, April 15-20.
A. J. Scholefield; B. Bejar Haro; M. Vetterli : Shape from bandwidth: the 2-D orthogonal projection case. 2017. The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, USA, March 5-9, 2017.
G. Elhami; A. J. Scholefield; B. Bejar Haro; M. Vetterli : Unlabeled Sensing: Reconstruction Algorithm and Theoretical Guarantees. 2017. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, March 5-9, 2017.
G. Baechler; A. J. Scholefield; L. Baboulaz; M. Vetterli : Sampling and Exact Reconstruction of Pulses with Variable Width; IEEE Transactions on Signal Processing. 2017. DOI : 10.1109/TSP.2017.2669900.
A. J. Scholefield; P.-L. Dragotti : Quadtree Structured Image Approximation for Denoising and Interpolation; IEEE Transactions on Image Processing. 2014. DOI : 10.1109/TIP.2014.2300817.
A. J. Scholefield; P.-L. Dragotti : Accurate image registration using approximate Strang-Fix and an application in super-resolution.