Dr Nantheera Anantrasirichai (Pui)
Senior Research Fellow
1.23, One Cathedral Square, University of Bristol
Bristol, BS1 5DD, UK
eexna*at*bris.ac.uk
About
I am a Senior Research Fellow at the University of Bristol, and a member of the Visual Information Laboratory and the Bristol Vision Institute, which are led by Prof. David Bull. I have been involved in many projects across multiple disciplines, including telecommunications, biology, optometry, clinical sciences, biochemistry, mechanical engineering, psychology and geoscience.Research Interests
- Image analysis and enhancement
- Image and video restoration
- Image fusion
- Machine learning
- Inverse problem
- Remote sensing
- Medical imaging
- Image and video coding
News & Activities
- 16 Dec 2020: AGU2020 Talk
- 18 Jan 2021: EUSIPCO2020 Talk
- 12 May 2021: COMET Webinar
- 29 June - 2 July 2021: Local organising committee PCS 2021
- Mar- 2020: AI in the Creative Industries: CIC
Projects
AI and data-driven optimisation methods have seen increasing success across many domains. They are also proliferating in the creative sector, influencing technology developments, delivery formats, creative design and production workflows. This project assess opinions, understanding and aspirations across our partner network and beyond, reporting on the opportunities for, and aspirations of, the community, making recommendations for targeted research topics, both within this project and beyond. This will be positioned in the context of global developments in this most rapidly developing field. Example projects in progress include intelligent contextual video enhancement, low light image enhancement and denoising and big database for high-resolution workflows.
Automated Alert System for Volcanic UnrestSatellite radar (InSAR) can be employed to observe volcanic ground deformation, which has shown a significant statistical link to eruptions. The explosion in data has however brought major challenges associated with timely dissemination of information and distinguishing volcano deformation patterns from noise, which currently relies on manual inspection. Here, we present a novel approach to detect volcanic ground deformation automatically from InSAR images.
More projects: see herePublications
For all my papers, see both google scholar and university siteRecent papers
- Detecting Ground Deformation in the Built Environment using Sparse Satellite InSAR data with a Convolutional Neural Network. N. Anantrasirichai, J. Biggs, K. Kelevitz, Z. Sadeghi, T. Wright, J. Thompson, A. Achim and D. Bull. IEEE Transactions on Geoscience and Remote Sensing. 2020.
[ PDF] [Project] - Image fusion via sparse regularization with non-convex penalties. N. Anantrasirichai, R. Zheng, I. Selesnick and A. Achim. Pattern Recognition Letters. 2020.
[ PDF] [ CODE] - Encoding in the Dark Grand Challenge: an Overview. N. Anantrasirichai, F. Zhang, A. Malyugina, P. Hill and A. Katsenou. IEEE International Conference on Multimedia & Expo Workshops. 2020.
[ PDF] [ BibTeX] - Fast Depth Estimation for View Synthesis. N. Anantrasirichai, M. Geravand, D. Braendler, D. Bull. European Signal Processing Conference. 2020.
[ PDF] [ CODE] - River Planform Extraction From High-Resolution SAR Images Via Generalised Gamma Distribution Superpixel Classification. O. Pappas, N. Anantrasirichai, A. Achim and B. Adams. IEEE Transactions on Geoscience and Remote Sensing. 2020.
[ PDF] - Detection of Line Artefacts in Lung Ultrasound Images of COVID-19 Patients via Non-Convex Regularization. O. Karakuş, N. Anantrasirichai, A. Aguersif, S. Silva, A. Basarab and A Achim. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2020.
[ PDF] [ BibTeX] [CODE] - The Application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Timeseries. N. Anantrasirichai, J. Biggs, F. Albino, and David Bull. Geophysical Research Letters. 2019.
[ PDF] [ BibTeX] [Project] - A Deep Learning Approach to Detecting Volcano Deformation from Satellite Imagery using Synthetic Datasets. N. Anantrasirichai, J. Biggs, F. Albino, and David Bull. Remote Sensing of Environment. 2019.
[ PDF] [ BibTeX] [CODE] [Project] - DefectNET: multi-class fault detection on highly-imbalanced datasets. N. Anantrasirichai and David Bull. In Proceedings of the IEEE International Conference on Image Processing. 2019.
[ PDF] [ BibTeX] [ CODE] [Project] - Regularisation With a Dictionary of Lines for Medical Ultrasound Image Deconvolution. N. Anantrasirichai, M. Allinovi, W. Hayes, A. Achim. In Proceedings of the IEEE International Symposium on Biomedical Imaging. 2019.
[ PDF] [ BibTeX] [Project]