no code implementations • 4 Mar 2024 • Ruirui Lin, Nantheera Anantrasirichai, Alexandra Malyugina, David Bull
Distortions caused by low-light conditions are not only visually unpleasant but also degrade the performance of computer vision tasks.
no code implementations • 28 Feb 2024 • Joanne Lin, Nantheera Anantrasirichai, David Bull
Instance segmentation for low-light imagery remains largely unexplored due to the challenges imposed by such conditions, for example shot noise due to low photon count, color distortions and reduced contrast.
no code implementations • 3 Feb 2024 • Nantheera Anantrasirichai, Ruirui Lin, Alexandra Malyugina, David Bull
Low-light videos often exhibit spatiotemporal incoherent noise, leading to poor visibility and compromised performance across various computer vision applications.
no code implementations • 25 Dec 2023 • Anqi Yi, Nantheera Anantrasirichai
Accurate object tracking in low-light environments is crucial, particularly in surveillance and ethology applications.
1 code implementation • 3 Dec 2023 • Adrian Azzarelli, Nantheera Anantrasirichai, David R Bull
We propose a multi-scale space and space-time feature plane representation using N-level 2-D wavelet coefficients.
1 code implementation • 17 Nov 2023 • Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim
This marks the first attempt to exploit the inherent 3D information of OCT and translate it into the rich, detailed color domain of confocal microscopy.
no code implementations • 11 Nov 2023 • Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş, Marco Allinovi, Hatice Ceylan Koydemir, Alin Achim
In the context of lung ultrasound, the detection of B-lines, which are indicative of interstitial lung disease and pulmonary edema, plays a pivotal role in clinical diagnosis.
no code implementations • 16 Sep 2023 • Alexandra Malyugina, Nantheera Anantrasirichai, David Bull
Despite extensive research conducted in the field of image denoising, many algorithms still heavily depend on supervised learning and their effectiveness primarily relies on the quality and diversity of training data.
1 code implementation • 29 May 2023 • Adrian Azzarelli, Nantheera Anantrasirichai, David R Bull
Additionally, we propose a novel metric to measure task complexity of the framework which accounts for the visual parameters and the distribution of the spatial data.
1 code implementation • 16 Feb 2023 • Crispian Morris, Duolikun Danier, Fan Zhang, Nantheera Anantrasirichai, David R. Bull
Currently, one of the major challenges in deep learning-based video frame interpolation (VFI) is the large model sizes and high computational complexity associated with many high performance VFI approaches.
no code implementations • 25 Nov 2022 • Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş, Marco Allinovi, Alin Achim
Studies have proved that the number of B-lines in lung ultrasound images has a strong statistical link to the amount of extravascular lung water, which is significant for hemodialysis treatment.
1 code implementation • 25 Oct 2022 • Disen Hu, Nantheera Anantrasirichai
The influence of atmospheric turbulence on acquired surveillance imagery poses significant challenges in image interpretation and scene analysis.
no code implementations • 11 Aug 2022 • Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Korranat Naruenatthanaset, Thananop Kobchaisawat, Nuntiporn Nunthanasup, Kanyarat Boonpeng, Xudong Ma, Alin Achim
Manual examination of faecal smear samples to identify the existence of parasitic eggs is very time-consuming and can only be done by specialists.
no code implementations • 9 Aug 2022 • Alexandra Malyugina, Nantheera Anantrasirichai, David Bull
The loss function is a combination of $\ell_1$ or $\ell_2$ losses with the new persistence-based topological loss.
no code implementations • 14 Apr 2022 • Nantheera Anantrasirichai
Most well-developed approaches to remove atmospheric turbulence distortion are model-based.
no code implementations • 6 Mar 2022 • Perla Mayo, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Alin Achim
Automatic detection of parasitic eggs in microscopy images has the potential to increase the efficiency of human experts whilst also providing an objective assessment.
no code implementations • 5 Mar 2022 • Odysseas Pappas, Nantheera Anantrasirichai, Byron Adams, Alin Achim
High accuracy coastline/shoreline extraction from SAR imagery is a crucial step in a number of maritime and coastal monitoring applications.
no code implementations • 4 Mar 2022 • Odysseas Pappas, Juliet Biggs, David Bull, Alin Achim, Nantheera Anantrasirichai
Monitoring of ground movement close to the rail corridor, such as that associated with landslips caused by ground subsidence and/or uplift, is of great interest for the detection and prevention of possible railway faults.
no code implementations • 28 Feb 2022 • Xin Tian, Nantheera Anantrasirichai, Lindsay Nicholson, Alin Achim
Finally, registration along the direction orthogonal to the x-y plane (the z-direction) is guided by the segmentation of two important anatomical features peculiar to mouse b-scans, the Internal Limiting Membrane (ILM) and the hyaloid remnant (HR).
1 code implementation • 8 Feb 2022 • Nikolaos Ioannis Bountos, Ioannis Papoutsis, Dimitrios Michail, Nantheera Anantrasirichai
Ground deformation measured from Interferometric Synthetic Aperture Radar (InSAR) data is considered a sign of volcanic unrest, statistically linked to a volcanic eruption.
no code implementations • 18 Oct 2021 • Xudong Ma, Paul Hill, Nantheera Anantrasirichai, Alin Achim
The results are compared with state-of-the-art image fusion methods.
no code implementations • 2 Jul 2021 • Thanaphon Suwannaphong, Sawaphob Chavana, Sahapol Tongsom, Duangdao Palasuwan, Thanarat H. Chalidabhongse, Nantheera Anantrasirichai
The traditional diagnosis usually relies on manual analysis from microscopic images which is prone to human error due to morphological similarity of different parasitic eggs and abundance of impurities in a sample.
no code implementations • 1 Jun 2021 • Annika Wong, Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Attakorn Palasuwan, David Bull
This paper presents an automated process utilising the advantages of machine learning to increase capacity and standardisation of cell abnormality detection, and its performance is analysed.
no code implementations • 21 Mar 2021 • Tianqi Yang, Oktay Karakuş, Nantheera Anantrasirichai, Alin Achim
In the field of biomedical imaging, ultrasonography has become increasingly widespread, and an important auxiliary diagnostic tool with unique advantages, such as being non-ionising and often portable.
1 code implementation • 2 Dec 2020 • Korranat Naruenatthanaset, Thanarat H. Chalidabhongse, Duangdao Palasuwan, Nantheera Anantrasirichai, Attakorn Palasuwan
The imbalance ratio of this dataset was 34. 538 for 12 RBC classes from 20, 875 individual RBC samples.
no code implementations • 24 Jul 2020 • Nantheera Anantrasirichai, David Bull
We therefore conclude that, in the context of creative industries, maximum benefit from AI will be derived where its focus is human centric -- where it is designed to augment, rather than replace, human creativity.
no code implementations • 7 May 2020 • Nantheera Anantrasirichai, Juliet Biggs, Krisztina Kelevitz, Zahra Sadeghi, Tim Wright, James Thompson, Alin Achim, David Bull
The large volumes of Sentinel-1 data produced over Europe are being used to develop pan-national ground motion services.
no code implementations • 7 May 2020 • Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina, Paul Hill, Angeliki Katsenou
In this paper, we present an overview of the proposed challenge, and test state-of-the-art methods that will be part of the benchmark methods at the stage of the participants' deliverable assessment.
1 code implementation • 6 May 2020 • Oktay Karakuş, Nantheera Anantrasirichai, Amazigh Aguersif, Stein Silva, Adrian Basarab, Alin Achim
In this paper, we present a novel method for line artefacts quantification in lung ultrasound (LUS) images of COVID-19 patients.
1 code implementation • 14 Mar 2020 • Nantheera Anantrasirichai, Majid Geravand, David Braendler, David R. Bull
Disparity/depth estimation from sequences of stereo images is an important element in 3D vision.
no code implementations • 19 Dec 2019 • Nantheera Anantrasirichai, Sion Hannuna, Nishan Canagarajah
This paper presents a framework which uses computer vision algorithms to standardise images and analyse them for identifying crop diseases automatically.
no code implementations • 17 Dec 2019 • Nantheera Anantrasirichai, Dimitris Agrafiotis
This paper presents a multi-view distributed video coding framework for independent camera encoding and centralized decoding.
1 code implementation • 23 May 2019 • Nantheera Anantrasirichai, Rencheng Zheng, Ivan Selesnick, Alin Achim
The performance of the proposed method is benchmarked against a number of state-of-the-art image fusion techniques and superior performance is demonstrated both visually and in terms of various assessment measures.
1 code implementation • 17 May 2019 • Nantheera Anantrasirichai, Juliet Biggs, Fabien Albino, David Bull
As only a small proportion of volcanoes are deforming and atmospheric noise is ubiquitous, the use of machine learning for detecting volcanic unrest is more challenging.