Nantheera Anantrasirichai (Pui)
Professor of Visual Computing
3.20, Merchant Venturers Building, University of Bristol
Bristol, BS8 1UB, UK
N.Anantrasirichai*at*bristol.ac.uk
About
I am a Professor in the School of Computer Science at the University of Bristol, a member of the management team of the Bristol Vision Institute, and a member of the Visual Information Laboratory. I have been involved in numerous interdisciplinary projects spanning areas including communications, biology, optometry, clinical sciences, biochemistry, mechanical engineering, psychology, and geoscience. I am currently the PI of projects funded by EPSRC, Innovate UK, and the Royal Society. I also lead the MyWorld work package on AI Workflows for Challenging Acquisition Environments, which contributes to 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).
Regarding teaching responsibilities, I am the Programme Director of the MSc Immersive Technologies (Virtual and Augmented Reality) and teach Advanced Visual AI (Y4) .
Opportunities
- PhD Scholarship funded by UoB/EPSRC: University of Bristol Postgraduate Research Scholarships. Please send me your CV and transcripts.
2026 Conference Papers
- SIGGRAPH Asia 2026:
- Relightable Gaussian Splatting for Virtual Production Using Image-Based Illumination
News & Activities
- 2026-2028: IEEE CASS TC Visual Signal Processing and Communications
- 2025-2027: EURASIP TAC (Second Term) Biomedical Image & Signal Analytics
- 1 August 2026: New project! FastCLEAR [Innovate UK]
- 1 July 2026: New project! SITUS [EPSRC]
- 1 April 2026: New project! Com4D [Royal Society]
- 16-20 March 2026: Invited to participate in OceanX Hackathon
- 26 Feb 2026: Invited talk: Low-light and underwater video enhancement
- 11 Oct 2025: Public talk: Filming The Extremes
- 9 Aug 2025: Invited talk Video Enhancement for Challenging Environments
- 29 April 2025: Invited talk: EGU
Projects
Postproduction for Challenging Environments
- Intelligent Video Restoration and Enhancement
- Low-Light Enhancement and Denoising
- Underwater Enhancement & 3D Representation
- Atmospheric Turbulence Removal [Model-based]
- Atmospheric Turbulence Removal [Learning-based]
Medical and Biological Image Computing
Computational Imaging in Remote Sensing
- Automated Alert System for Volcanic Unrest
- Dynamic Ground Motion Map of the UK
- Learning-Based Based Atmospheric Correction
- Learning-Based Phase Unwrapping for InSAR
- River Planform Extraction in SAR
- Image Fusion
Computer Vision for Robotics
Publications
All papers: see here, or check google scholar and university siteSelected papers
Advances in Artificial Intelligence: a Review for the Creative Industries-
ELVIS: Enhance Low-light for Video Instance Segmentation in the Dark -
Prune Wisely, Reconstruct Sharply: Compact 3D Gaussian Splatting via Adaptive Pruning and Difference-of-Gaussian Primitives -
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement -
RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator 
Unsupervised anomaly detection for volcanic deformation in InSAR imagery
Reviewing Intelligent Cinematography: AI Research for Camera-based Video Production
TaGAT: Topology-Aware Graph Attention Network For Multi-modal Retinal Image Fusion
Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning
Download
Datasets
- BVI-RLV: Fully Registered Low-Light Videos
- BVI-LOWLIGHT: Dataset for Low-Light Image Denoising [Paper]
- BVI-Turb: Atmospheric Turbulence Dataset
- BVI-Coral: Underwater scenes for 3D reconstruction [Paper]
- OCT2Confocal: in-vivo OCT and ex-vivo confocal retinal images [Paper]
- ICIP 2022 Challenge: Parasitic Egg Detection and Classification in Microscopic Images [Paper]
- Chula-parasitic-eggs: Parasitic Egg Detection and Classification in Low-cost Microscopic Images [Paper]
- LICS Dataset for Volcanic Deformation Classification [Paper]