News
I am looking for talented students willing to do a
PhD in the area of signal processing, computational
imaging and model-based deep learning.
Di You wins
the best paper award at IEEE MMSP 2023 workshop. Well done Di!
Roxana Alexandru
wins the Outstanding
PhD Thesis Award 2021-22. Well done Roxana! Vincent
publishes a paper in Nature Communications. Well done! Here
is an article from Forbes. Jiaoyang Liu wins
the 'Ivor
Tupper Prize' for her MSc project under my
supervision. Well done! Editor-in-Chief
of IEEE Transactions on Signal Processing 2018-20
(certificate of merit) Xin
Deng wins the Outstanding
PhD Thesis Award, 2020-21. Well done Xin! We
uncover forgotten figures beneath one of Leonardo's
paintings Check out the start-up
company funded by Loic Baboulaz a former PhD student of
mine! Learn
more about my ERC RecoSamp Project
Adam
wins gold at the Commonwealth Games! Recent talks:
- Model-Based Deep Learning for Inverse Problems, I-X Breaking Topics in AI conference, Imperial I-X, November 2023
- Timing is everything:
model-based and learning-based reconstruction methods
for event-driven cameras,
Edinburgh, May 2023 (see also related papers link1
and link2.)
- Sparsity and Deep Neural Networks: a Match Made in Heaven, UCL, UK, February 2022
- New Sparse Sampling Methods: Time-based Sampling and Sampling along Trajectories One World Signal Processing Seminars, December 2021
- 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
Recent manuscripts:
- H. Verinaz et al. "Physics-based Deep Learning for Imaging Neuronal Activity via Two-photon and Light-field Microscopy", IEEE Trans. on Computational Imaging, 2023, (Biorxiv version here)
- J.J. Huang and P.L.
Dragotti, "WINNet:
Wavelet-inspired invertible network for image denoising",
IEEE Transactions on Image Processing", 2022 (open access),
GitHub
link to code
- P. Song et al."Light-field Microscopy for optical imaging of neural activity: when model-based methods meet data-driven approaches" IEEE Signal Processing Magazine, vol 39 March 2022 (arxiv version here).
- Y. Su et al. "When de Prony met Leonardo: An automatic algorithm for chemical element extraction from macro X-Ray Fluorescence Data", IEEE Transactions on Computational Imaging, vol.7, 2021.
- X.Deng and P.L. Dragotti,
Deep Convolutional Neural Network for Multi-modal Image
Restoration and Fusion, IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol.43 (10), October
2021. GitHub
link to code
- R. Alexandru and P.L. Dragotti,Reconstructing
classes of non-bandlimited signals from time encoded
information, IEEE Transactions on Signal Processing,
pp. 747-763, vol. 68, year 2020
Demos:
- Wavelet-domain style transfer for Single-Image Super-Resolutio
- Photo-Realistic Image Completion
- ABLE algorithm in action
- Estimation of diffusion sources using sensor networks
- Light-Field Interpolation
- Super-resolution of the moon
Press Releases:
- "AI
may have a thing or two to learn from our imperfect
brains", Forbes
- An article from Le Temps, Geneva
- Video from NewScientist.
- Wavelet Footprints on IEEE Spectrum