| 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 | 2609 | 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 | 1314 | 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 | 899 | 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 | 470 | 2016 |
| 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 | 421 | 1997 |
| 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 | 402 | 2017 |
| 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 | 397 | 2012 |
| Texture classification from random features L Liu, P Fieguth IEEE transactions on pattern analysis and machine intelligence 34 (3), 574-586, 2012 | 386 | 2012 |
| Automated detection of cracks in buried concrete pipe images SK Sinha, PW Fieguth Automation in construction 15 (1), 58-72, 2006 | 339 | 2006 |
| 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 | 335 | 2019 |
| 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 | 222 | 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 | 218 | 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 | 187 | 1995 |
| Extended local binary patterns for face recognition L Liu, P Fieguth, G Zhao, M Pietikäinen, D Hu Information Sciences 358, 56-72, 2016 | 157 | 2016 |
| 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 | 157 | 2011 |
| 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, 2022 | 145 | 2022 |
| Statistical image processing and multidimensional modeling P Fieguth Springer Science & Business Media, 2010 | 140 | 2010 |
| Segmentation of buried concrete pipe images SK Sinha, PW Fieguth Automation in Construction 15 (1), 47-57, 2006 | 136 | 2006 |
| Neuro-fuzzy network for the classification of buried pipe defects SK Sinha, PW Fieguth Automation in Construction 15 (1), 73-83, 2006 | 134 | 2006 |
| Decoupled active contour (DAC) for boundary detection AK Mishra, PW Fieguth, DA Clausi IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (2), 310-324, 2010 | 128 | 2010 |
Alexander WongCanada Research Chair, FIET FInstP FRSPH FISDDE, Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
