Timing is everything:
model-based and learning-based reconstruction methods for
event-driven cameras
Edinburgh, May 2023 (see also related papers link1
and link2
)
Model-Based Deep Learning for
Inverse Problems in Imaging
Singapore, December 2022
Sparsity
and Deep Neural Networks: a Match Made in Heaven
University College London, February 2022
New
Sparse Sampling Methods: Time-based Sampling and Sampling
along Trajectories
Bordeaux, October 2021 (video);
Mexico, June 2021
New Sparse Sampling Methods: Time-based sampling and
sampling along trajectories
"When
Art meets Science",
Science Breaks,
London, 10 September 2020, Video Lecture
Deep
Dictionary Learning Approaches for Image Super-Resolution
Cambridge University, March 2020
Timing
is everything: Sparse Sampling based on Time-Encoding
Machines,
plenary at SPARS conference, July 2019
Deep
Dictionary Learning Approaches for Image Super-Resolution
Mathematics of Data, Alan Turing Institute, May 2019
Signal Processing Methods for
Cell Localization and Activity Detection from Calcium
Imaging Data,
Imaging and Applied Optics Congress, Orlando, June 2018
Single-Image
Super-Resolution: Coupled-dictionary learning vs model-based
processing ,
Summer School, Signal Processing meets Deep Learning,
Capri (IT), September 2017
Sensing
the real world: Sparse Sampling meets Strang-Fix and Baron
de Prony
Gottingen University 16 December 2016
Newcastle University 27 October 2016
Sheffield University, 23 August 2016.
Sparse
Signal Processing: Occam in the Age of Abundance
Video Lecture, May 21, 2015,
Imperial College London, UK
Sampling
and Reconstruction driven by Sparsity Models: Theory and
Applications
December 9, 2014,
Edinburgh University, UK
November 21, 2014
Bristol University, UK
Parametric
Sparse Sampling: Theory and Applications
Approximate
Strang-Fix: Sparse Sampling with any Acquisition Device
June 10, 2013
Summer Research
Institute, EPFL,Switzerland
Sparse
Sampling, (Tutorial)
December 17,
2012
IMA Conference on Signal Processing, Birmingham, UK
Layer-Based
Representation for Image Based Rendering and Compression
October 25,
2012
ST-Day Politecnico di Milano, Italy
On
the Sampling and Compression of the Plenoptic Function
(45MB)
April 27, 2011
Boston University,
Boston, USA