Dr Nantheera Anantrasirichai (Pui)

Senior Lecturer

2.60, Merchant Venturers Building, University of Bristol

Bristol, BS8 1UB, UK

eexna*at*bris.ac.uk

About

I am a Senior Lecturer, Department of Computer Science, 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. I am also a key scientist at the Centre for the Observation and Modelling of Earthquakes, Volcanoes, and Tectonics (COMET).

I am a Programme Director of MSc Immersive Technologies (Virtual and Augmented Reality), and a Unit Director of Image Processing and Computer Vision. I also teach Immersive Interaction and Audio Design (PGT) and Computer System (Y2).

PhD Scholarships

MyWorld: Intelligent Underwater Scene Representation
MyWorld: Low Light Fusion and Autofocus for Advanced Wildlife Coverage
MyWorld: Intelligent Low Light Denoising, Colorisation Enhancement

Research Interests

Image analysis and enhancement
Image and video restoration
Image fusion
Machine learning
Inverse problem
Remote sensing
Medical imaging
Image and video coding

Highlights

News & Activities

31 Oct 2023: New dataset! BVI-Lowlight Fully registered video dataset
5 Oct 2023: Invited speaker at Bringing Space Down to Earth
1 Jun 2023: New project! Object recognition under heat haze environment
1 Mar 2023: Invited talk AI-based Image Processing for Challenging Natural Data
14 Nov 2022: Invited talk ML for Synthetic Aperture Radar
Jan-Oct 2022: Organising ICIP2022 Grand Challenge [Dataset]
25 Jul 2022: Invited talk Complex Data Challenges in Earth Observation
2022-2024: EURASIP TAC Biomedical Image & Signal Analytics

BVI-Lowlight datasets

Projects

Production Workflow for Challenging Environments

Medical and Biological Image Computing

Parasitic Egg Detection and Classification

Computational Imaging in Remote Sensing

Computer Vision for Robotics

More projects and details: see here

Publications

For all my papers, see both google scholar and university site

Selected papers

Topological Loss Function for Image Denoising on a new BVI-lowlight Dataset. A. Malyugina, N. Anantrasirichai, and D. Bull. Signal Processing. 2023. [PDF] [Dataset]
Current Advances in Computational Lung Ultrasound Imaging: A Review. T. Yang, O. Karakuş, N. Anantrasirichai, and A. Achim. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 2023.[PDF]
ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results. N Anantrasirichai, TH Chalidabhongse, D Palasuwan, K Naruenatthanaset, T Kobchaisawat, N Nunthanasup, K Boonpeng, X Ma, and A Achim. IEEE International Conference on Image Processing. 2022. [PDF] [Dataset] [Website]
Artificial Intelligence in the Creative Industries: A Review. N. Anantrasirichai and D. Bull. Artificial Intelligence Review (AIRE). 2021.[PDF]
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]
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]

More papers: see here

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Find more code and datasets here.