Dr Nantheera Anantrasirichai (Pui)
Associate Professor in Visual Computing
3.20, Merchant Venturers Building, University of Bristol
Bristol, BS8 1UB, UK
eexna*at*bris.ac.uk
About
I am an Associate Professor in the School of Computer Science at the University of Bristol and a member of the Visual Information Laboratory, led by Prof. Alin Achim, and the Bristol Vision Institute, 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 lead a work package, AI Workflows for Challenging Acquisition Environments, as part of MyWorld, strengthening the world-leading position of creative technologies in the southwest region. Additionally, I am 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). During the 2024/2025 academic year, I will be on a University Research Fellowship and therefore will not be involved in teaching. For any inquiries regarding Image Processing and Computer Vision (Y3), Advanced Visual AI (Y4), and Immersive Interaction and Audio Design (PGT), please contact the respective Unit Directors.
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
- BVI-Lowlight: Fully registered datasets for low-light image and video enhancement
- ICIP2022 Grand Challenge : Parasitic Egg Detection and Classification in Microscopic Images
- Real-time monitoring volcanic activities globally
- COVID-19 inspection on lung ultrasound
- A unified framework for contextual lighting, colorization and denoising for UHD sequences
- ICIP2022 Grand Challenge : Parasitic Egg Detection and Classification in Microscopic Images
News & Activities
- 12 Mar 2024: Invited talk: AI for Visual Data at CenSoF
- 12 Feb 2024: New project! MyUnderwaterWorld
- 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]
- 2022-2024: EURASIP TAC Biomedical Image & Signal Analytics
Projects
Production Workflow for Challenging Environments
- AI in the Creative Industries
- Contextual Video Enhancement
- Low-Light Enhancement and Denoising
- Underwater Scene Enhancement
- Atmospheric Turbulence Removal
- Fast Depth Estimation for View Synthesis
Medical and Biological Image Computing
Computational Imaging in Remote Sensing
- Automated Alert System for Volcanic Unrest
- Dynamic Ground Motion Map of the UK
- Ground Movement Monitoring along the Rail Corridor
- River Planform Extraction in SAR
- Image Fusion
Computer Vision for Robotics
Publications
For all my papers, see both google scholar and university siteSelected papers
- TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion. X Tian, N Anantrasirichai, L Nicholson, A Achim. MICCAI. 2024
[ PDF] [ Code] - Learning Ground Displacement Signals Directly from InSAR-Wrapped Interferograms. L Moualla, A Rucci, G Naletto, N Anantrasirichai. Sensors. 2024
[ PDF] - Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning. T Suwannaphong, S Chavana, S Tongsom, D Palasuwan, T H Chalidabhongse, and N Anantrasirichai. SN Computer Science. 2023
[ PDF] [ Dataset] - 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] - 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]