Paul Fieguth
Paul Fieguth
Systems Design Engineering
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Cited by
Cited by
Deep learning for generic object detection: A survey
L Liu, W Ouyang, X Wang, P Fieguth, J Chen, X Liu, M Pietikäinen
International journal of computer vision 128, 261-318, 2020
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, ...
Information fusion 76, 243-297, 2021
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
C Koch, K Georgieva, V Kasireddy, B Akinci, P Fieguth
Advanced engineering informatics 29 (2), 196-210, 2015
Median robust extended local binary pattern for texture classification
L Liu, S Lao, PW Fieguth, Y Guo, X Wang, M Pietikäinen
IEEE Transactions on Image Processing 25 (3), 1368-1381, 2016
Local binary features for texture classification: Taxonomy and experimental study
L Liu, P Fieguth, Y Guo, X Wang, M Pietikäinen
Pattern Recognition 62, 135-160, 2017
Color-based tracking of heads and other mobile objects at video frame rates
P Fieguth, D Terzopoulos
Proceedings of IEEE computer society conference on computer vision and …, 1997
Extended local binary patterns for texture classification
L Liu, L Zhao, Y Long, G Kuang, P Fieguth
Image and Vision Computing 30 (2), 86-99, 2012
Texture classification from random features
L Liu, P Fieguth
IEEE transactions on pattern analysis and machine intelligence 34 (3), 574-586, 2012
From BoW to CNN: Two decades of texture representation for texture classification
L Liu, J Chen, P Fieguth, G Zhao, R Chellappa, M Pietikäinen
International Journal of Computer Vision 127, 74-109, 2019
Automated detection of cracks in buried concrete pipe images
SK Sinha, PW Fieguth
Automation in construction 15 (1), 58-72, 2006
BRINT: binary rotation invariant and noise tolerant texture classification
L Liu, Y Long, PW Fieguth, S Lao, G Zhao
IEEE transactions on Image Processing 23 (7), 3071-3084, 2014
Adaptive Wiener filtering of noisy images and image sequences
F Jin, P Fieguth, L Winger, E Jernigan
Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003
Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry
PW Fieguth, WC Karl, AS Willsky, C Wunsch
IEEE Transactions on Geoscience and Remote Sensing 33 (2), 280-292, 1995
Automatic skin lesion segmentation via iterative stochastic region merging
A Wong, J Scharcanski, P Fieguth
IEEE Transactions on Information Technology in Biomedicine 15 (6), 929-936, 2011
Extended local binary patterns for face recognition
L Liu, P Fieguth, G Zhao, M Pietikäinen, D Hu
Information Sciences 358, 56-72, 2016
Neuro-fuzzy network for the classification of buried pipe defects
SK Sinha, PW Fieguth
Automation in Construction 15 (1), 73-83, 2006
Segmentation of buried concrete pipe images
SK Sinha, PW Fieguth
Automation in Construction 15 (1), 47-57, 2006
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms
AM Carrington, PW Fieguth, H Qazi, A Holzinger, HH Chen, F Mayr, ...
BMC medical informatics and decision making 20, 1-12, 2020
Statistical image processing and multidimensional modeling
P Fieguth
Springer Science & Business Media, 2010
Deep learning for instance retrieval: A survey
W Chen, Y Liu, W Wang, EM Bakker, T Georgiou, P Fieguth, L Liu, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 7270-7292, 2022
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