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), a Unit Director of Image Processing and Computer Vision (Y3), and a Unit Director of Advanced Visual AI (Y4). I also teach Immersive Interaction and Audio Design (PGT) and Computer System (Y2).
PhD Scholarships
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
- 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] - 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]