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08/10/2023
IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer
Automated medical report generation has become increasingly important in...
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08/03/2023
A Randomized Block Krylov Method for Tensor Train Approximation
Tensor train decomposition is a powerful tool for dealing with high-dime...
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07/23/2023
A Bilevel Formalism for the Peer-Reviewing Problem
Due to the large number of submissions that more and more conferences ex...
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06/30/2023
Proximal nested sampling with data-driven priors for physical scientists
Proximal nested sampling was introduced recently to open up Bayesian mod...
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06/19/2023
Few-shot Learning for Inference in Medical Imaging with Subspace Feature Representations
Unlike the field of visual scene recognition where tremendous advances h...
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05/24/2023
Semantic Segmentation by Semantic Proportions
Semantic segmentation is a critical task in computer vision that aims to...
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05/23/2023
GO-LDA: Generalised Optimal Linear Discriminant Analysis
Linear discriminant analysis (LDA) has been a useful tool in pattern rec...
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01/27/2023
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors
Low-rank approximation of tensors has been widely used in high-dimension...
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06/07/2021
High-dimensional Bayesian model selection by proximal nested sampling
Imaging methods often rely on Bayesian statistical inference strategies ...
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10/04/2020
3D Orientation Field Transform
The two-dimensional (2D) orientation field transform has been proved to ...
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05/21/2019
A Two-stage Classification Method for High-dimensional Data and Point Clouds
High-dimensional data classification is a fundamental task in machine le...
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03/20/2019
Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)
Developing a robust algorithm for automatic individual tree crown (ITC) ...
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07/26/2018
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation
The piecewise constant Mumford-Shah (PCMS) model and the Rudin-Osher-Fat...
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12/12/2017
Online radio interferometric imaging: assimilating and discarding visibilities on arrival
The emerging generation of radio interferometric (RI) telescopes, such a...
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11/13/2017
Uncertainty quantification for radio interferometric imaging: II. MAP estimation
Uncertainty quantification is a critical missing component in radio inte...
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11/13/2017
Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods
Uncertainty quantification is a critical missing component in radio inte...
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01/24/2017
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
Recognising individual trees within remotely sensed imagery has importan...
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09/21/2016
Wavelet-Based Segmentation on the Sphere
Segmentation is the process of identifying object outlines within images...
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05/30/2015
A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)
In this paper, we propose a SLaT (Smoothing, Lifting and Thresholding) m...
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07/28/2014
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests
There is much current interest in using multi-sensor airborne remote sen...
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05/09/2014
Variational Image Segmentation Model Coupled with Image Restoration Achievements
Image segmentation and image restoration are two important topics in ima...
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08/13/2011