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Xiaohao Cai
Xiaohao Cai
School of Electronics and Computer Science, University of Southampton
Verified email at soton.ac.uk - Homepage
Title
Cited by
Cited by
Year
A two-stage image segmentation method using a convex variant of the Mumford--Shah model and thresholding
X Cai, R Chan, T Zeng
SIAM Journal on Imaging Sciences 6 (1), 368-390, 2013
2172013
Uncertainty quantification for radio interferometric imaging–I. Proximal MCMC methods
X Cai, M Pereyra, JD McEwen
Monthly Notices of the Royal Astronomical Society 480 (3), 4154-4169, 2018
692018
Individual tree species classification from airborne multisensor imagery using robust PCA
J Lee, X Cai, J Lellmann, M Dalponte, Y Malhi, N Butt, M Morecroft, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
642016
Data augmentation in classification and segmentation: A survey and new strategies
K Alomar, HI Aysel, X Cai
Journal of Imaging 9 (2), 46, 2023
622023
Variational image segmentation model coupled with image restoration achievements
X Cai
Pattern Recognition 48 (6), 2029-2042, 2015
552015
A three-stage approach for segmenting degraded color images: Smoothing, lifting and thresholding (SLaT)
X Cai, R Chan, M Nikolova, T Zeng
Journal of Scientific Computing 72, 1313-1332, 2017
512017
3D segmentation of trees through a flexible multiclass graph cut algorithm
J Williams, CB Schönlieb, T Swinfield, J Lee, X Cai, L Qie, DA Coomes
IEEE Transactions on Geoscience and Remote Sensing 58 (2), 754-776, 2019
442019
Uncertainty quantification for radio interferometric imaging: II. MAP estimation
X Cai, M Pereyra, JD McEwen
Monthly Notices of the Royal Astronomical Society 480 (3), 4170-4182, 2018
412018
Vessel segmentation in medical imaging using a tight-frame--based algorithm
X Cai, R Chan, S Morigi, F Sgallari
SIAM Journal on Imaging Sciences 6 (1), 464-486, 2013
352013
Multiclass segmentation by iterated ROF thresholding
X Cai, G Steidl
International Workshop on Energy Minimization Methods in Computer Vision and …, 2013
342013
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation
X Cai, R Chan, CB Schonlieb, G Steidl, T Zeng
SIAM Journal on Scientific Computing 41(6), B1310–B1340, 2019
33*2019
Nonparametric image registration of airborne LiDAR, hyperspectral and photographic imagery of wooded landscapes
J Lee, X Cai, CB Schönlieb, DA Coomes
IEEE Transactions on Geoscience and Remote Sensing 53 (11), 6073-6084, 2015
272015
Applying physical science techniques and CERN technology to an unsolved problem in radiation treatment for cancer: the multidisciplinary ‘VoxTox’research programme
NG Burnet, JE Scaife, M Romanchikova, SJ Thomas, AM Bates, E Wong, ...
CERN ideaSquare journal of experimental innovation 1 (1), 3, 2017
252017
Variational-based segmentation of bio-pores in tomographic images
B Bauer, X Cai, S Peth, K Schladitz, G Steidl
Computers & Geosciences 98, 1-8, 2017
212017
Framelet-based algorithm for segmentation of tubular structures
X Cai, RH Chan, S Morigi, F Sgallari
Scale Space and Variational Methods in Computer Vision: Third International …, 2012
192012
Sparse Bayesian mass mapping with uncertainties: local credible intervals
MA Price, X Cai, JD McEwen, M Pereyra, TD Kitching, ...
Monthly Notices of the Royal Astronomical Society 492 (1), 394-404, 2020
182020
Balanced neural architecture search and its application in specific emitter identification
M Du, X He, X Cai, D Bi
IEEE Transactions on Signal Processing 69, 5051-5065, 2021
172021
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
J Lee, D Coomes, CB Schonlieb, X Cai, J Lellmann, M Dalponte, Y Malhi, ...
arXiv preprint arXiv:1701.06715, 2017
172017
Proximal nested sampling for high-dimensional Bayesian model selection
X Cai, JD McEwen, M Pereyra
Statistics and Computing 32 (5), 87, 2022
162022
Disparity and optical flow partitioning using extended Potts priors
X Cai, J Henrik Fitschen, M Nikolova, G Steidl, M Storath
Information and Inference: A Journal of the IMA 4 (1), 43-62, 2015
152015
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