no code implementations • 8 May 2024 • Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Diffusion probabilistic models (DPMs) have exhibited significant effectiveness in computer vision tasks, particularly in image generation.
no code implementations • 3 Apr 2024 • Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
Extensive empirical studies are conducted in terms of validating the effectiveness of NMF, especially its supervised variants (e. g., discriminative NMF, and supervised and constrained NMF with sparseness), and the comparison with principal component analysis (PCA), i. e., the collaborative representation-based dimensionality reduction technique derived from eigenvectors.
no code implementations • 21 Nov 2023 • Jiahui Liu, Xiaohao Cai, Mahesan Niranjan
There is growing concern that the potential of black box AI may exacerbate health-related disparities and biases such as gender and ethnicity in clinical decision-making.
no code implementations • 10 Aug 2023 • Keqiang Fan, Xiaohao Cai, Mahesan Niranjan
The classifier module first extracts image features from the input medical images and produces disease-related indicators with their corresponding states.
1 code implementation • 30 Jun 2023 • Jason D. McEwen, Tobías I. Liaudat, Matthew A. Price, Xiaohao Cai, Marcelo Pereyra
Proximal nested sampling was introduced recently to open up Bayesian model selection for high-dimensional problems such as computational imaging.
no code implementations • 24 May 2023 • Halil Ibrahim Aysel, Xiaohao Cai, Adam Prügel-Bennett
Utilising semantic proportions suggested in this work offers a promising direction for future research in the field of semantic segmentation.
no code implementations • 23 May 2023 • Jiahui Liu, Xiaohao Cai, Mahesan Niranjan
Linear discriminant analysis (LDA) has been a useful tool in pattern recognition and data analysis research and practice.
1 code implementation • 4 Oct 2020 • Wai-Tsun Yeung, Xiaohao Cai, Zizhen Liang, Byung-Ho Kang
It, however, has no counterpart in three-dimensional (3D) images due to the extremely complicated orientation in 3D compared to 2D.
no code implementations • 21 May 2019 • Xiaohao Cai, Raymond Chan, Xiaoyu Xie, Tieyong Zeng
High-dimensional data classification is a fundamental task in machine learning and imaging science.
1 code implementation • 20 Mar 2019 • Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Juheon Lee, Xiaohao Cai, Lan Qie, David A. Coomes
From these three-dimensional crowns, we are able to measure individual tree biomass.
no code implementations • 26 Jul 2018 • Xiaohao Cai, Raymond Chan, Carola-Bibiane Schonlieb, Gabriele Steidl, Tieyong Zeng
The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fatemi (ROF) model are two important variational models in image segmentation and image restoration, respectively.
no code implementations • 24 Jan 2017 • Juheon Lee, David Coomes, Carola-Bibiane Schonlieb, Xiaohao Cai, Jan Lellmann, Michele Dalponte, Yadvinder Malhi, Nathalie Butt, Mike Morecroft
Here we develop a 3D tree delineation method which uses graph cut to delineate trees from the full 3D LiDAR point cloud, and also makes use of any optical imagery available (hyperspectral imagery in our case).
no code implementations • 21 Sep 2016 • Xiaohao Cai, Christopher G. R. Wallis, Jennifer Y. H. Chan, Jason D. McEwen
Wavelets on the sphere have been developed to solve such problems for data defined on the sphere, which arise in numerous fields such as cosmology and geophysics.
no code implementations • 30 May 2015 • Xiaohao Cai, Raymond Chan, Mila Nikolova, Tieyong Zeng
In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) method with three stages for multiphase segmentation of color images corrupted by different degradations: noise, information loss, and blur.
no code implementations • 28 Jul 2014 • Juheon Lee, Xiaohao Cai, Carola-Bibiane Schonlieb, David Coomes
There is much current interest in using multi-sensor airborne remote sensing to monitor the structure and biodiversity of forests.
no code implementations • 9 May 2014 • Xiaohao Cai
Image segmentation and image restoration are two important topics in image processing with great achievements.