News
I have an exciting PhD opportunity in the area of machine learning and computational
imaging for art investigation in collaboration with the National Gallery.
More details
here.
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