18 citations · 34 across the 7 of their papers we have counts for
6 papers · 1 filter
Atmospheric Turbulence Removal with Video Sequence Deep Visual Priors
P. Hill, N. Anantrasirichai, A. Achim +1
Atmospheric turbulence poses a challenge for the interpretation and visual perception of visual imagery due to its distortion effects. Model-based approaches have been used to addr…
Towards a Robust Framework for NeRF Evaluation
Adrian Azzarelli, Nantheera Anantrasirichai, David R Bull
Neural Radiance Field (NeRF) research has attracted significant attention recently, with 3D modelling, virtual/augmented reality, and visual effects driving its application. While…
Analysis of Vision-based Abnormal Red Blood Cell Classification
Annika Wong, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse +3
Identification of abnormalities in red blood cells (RBC) is key to diagnosing a range of medical conditions from anaemia to liver disease. Currently this is done manually, a time-c…
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data
Nantheera Anantrasirichai, Juliet Biggs, Krisztina Kelevitz +5
The large volumes of Sentinel-1 data produced over Europe are being used to develop pan-national ground motion services. However, simple analysis techniques like thresholding canno…
A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets
Nantheera Anantrasirichai, Juliet Biggs, Fabien Albino +1
Satellites enable widespread, regional or global surveillance of volcanoes and can provide the first indication of volcanic unrest or eruption. Here we consider Interferometric Syn…
Detecting Volcano Deformation in InSAR using Deep learning
N. Anantrasirichai, F. Albino, P. Hill +2
Globally 800 million people live within 100 km of a volcano and currently 1500 volcanoes are considered active, but half of these have no ground-based monitoring. Alternatively, sa…