Paul Fieguth

Professor and Department Chair

Contact InformationPaul Fieguth

Phone: 519-888-4567 x33599,519-888-4970 or x84970
Location: EC4 2009,E5 6119
Fax: +1 519-746-4791

Website

Biography Summary

Paul Fieguth is a Professor, as well as Chair of the Systems Design Engineering department. He is also the Director of the Vision and Imaging Processing Lab at the University of Waterloo.

His main areas of research lie in multiscale statistical modelling and remote sensing. Dr. Fieguth is concentrating on the theory development and understanding of scale recursive estimation algorithms for multi-resolution stochastic processes. Such algorithms use a statistically meaningful strategy to break large estimation problems into smaller pieces, leading to vast improvements in efficiency.

While these algorithms are capable of extremely fast assimilation of data, it is difficult to determine the appropriate multiscale model for a given application of interest. The model assumes a time-invariant model underlying the measurements, and the estimates produced by the model often possess certain multiscale artifacts. Dr. Fieguth aims to address these limitations in the context of a specific data assimilation problem involving a time-varying system: the world's oceans’ surface shape. This approach has allowed him and his research team to contribute to an oceanography issue, while simultaneously providing access to an extensive data set on which to test their algorithms.

Dr. Fieguth’s work in remote sensing is conducted in collaboration with researchers in oceanography who supply physical models, observational data, and the scientific expertise to ensure that meaningful answers are being computed to meaningful problems. Past and ongoing remote sensing efforts include ocean altimetry (production of ocean-surface maps), ocean hydrography (estimation of volumetric temperature fields), acoustic tomography (estimation of large-scale oceanographic features from measurements of sound propagation), and geodesy (determining high-resolution features of the earth's gravitational field from ocean-surface features).

Research Interests

  • Signal & Image Processing
  • Societal & Environmental Systems
  • Statistical Modeling
  • Multiscale Methods
  • Statistical Estimation
  • Remote Sensing
  • Computer Vision
  • Society
  • Pattern Analysis
  • Machine Intelligence & Robotics
  • Random Processes In The Environment

Education

  • 1995, Doctorate, PhD, Massachusetts Institute of Technology
  • 1993, Other, SM, Massachusetts Institute of Technology
  • 1991, Bachelor's, BASc, University of Waterloo

Courses

  • SYDE 332 - Societal and Environmental Systems
  • SYDE 730 - Selected Topics in Societal-Environmental Systems

Selected/Recent Publications

  • Liu, Li and Fieguth, Paul and Zhao, Guoying and Pietikäinen, Matti and Hu, Dewen, Extended local binary patterns for face recognition, Information Sciences, 358, 2016, 56 - 72
  • Liu, Li and Lao, Songyang and Fieguth, Paul W and Guo, Yulan and Wang, Xiaogang and Pietikäinen, Matti, Median robust extended local binary pattern for texture classification, IEEE Transactions on Image Processing, 25(3), 2016, 1368 - 1381
  • Shafiee, MJ and Siva, P and Scharfenberger, C and Fieguth, P and Wong, A, NeRD: a Neural Response Divergence Approach to Visual Salience Detection, arXiv preprint arXiv:1602.01728, 2016
  • Liu, Jiange and Scott, K Andrea and Gawish, Ahmed and Fieguth, Paul, Automatic Detection of the Ice Edge in SAR Imagery Using Curvelet Transform and Active Contour, Remote Sensing, 8(6), 2016
  • Koch, Christian and Doycheva, Kristina and Kasireddy, Varun and Akinci, Burcu and Fieguth, Paul, Corrigendum to “A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure”[Advanced Engineering Informatics 29 (2)(2015) 196--210], Advanced Engineering Informatics, 30(2), 2016, 208 - 210
  • Barshan, Elnaz and Fieguth, Paul and Wong, Alexander, Multi-Neighborhood Convolutional Networks, Vision Letters, 1(1), 2015
  • Shafiee, Mohammad Javad and Haider, Shahid A and Wong, Alexander and Lui, Dorothy and Cameron, Andrew and Modhafar, Ameen and Fieguth, Paul and Haider, Masoom A, Apparent ultra-high-value diffusion-weighted image reconstruction via hidden conditional random fields, IEEE transactions on medical imaging, 34(5), 2015, 1111 - 1124
  • Barshan, Elnaz and Lamm, Mark and Scharfenberger, Christian and Fieguth, Paul, 35.3: Resolution Enhancement Based on Shifted Superposition, SID Symposium Digest of Technical Papers, 46(1), 2015, 514 - 517
  • Shafiee, Mohammad Javad and Siva, Parthipan and Fieguth, Paul and Wong, Alexander, Domain Adaptation and Transfer Learning in StochasticNets, arXiv preprint arXiv:1512.05844, 2015
  • Shafiee, Mohammad Javad and Siva, Parthipan and Fieguth, Paul and Wong, Alexander, Efficient Deep Feature Learning and Extraction via StochasticNets, arXiv preprint arXiv:1512.03844, 2015
  • Liu, Li and Fieguth, Paul W and Hu, Dewen and Wei, Yingmei and Kuang, Gangyao, Fusing sorted random projections for robust texture and material classification, IEEE Transactions on Circuits and Systems for Video Technology, 25(3), 2015, 482 - 496
  • Wong, Alexander and Liu, Chenyi and Wang, Xiao Yu and Fieguth, Paul and Bie, Hongxia, Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements, BMC medical imaging, 15(1), 2015
  • Barshan, Elnaz and Lamm, Mark and Scharfenberger, Christian and Fieguth, Paul, Resolution Enhancement Based on Shifted Superposition, , 2015
  • Koch, Christian and Georgieva, Kristina and Kasireddy, Varun and Akinci, Burcu and Fieguth, Paul, A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure, Advanced Engineering Informatics, 29(2), 2015, 196 - 210
  • Shafiee, Mohammad Javad and Wong, Alexander and Fieguth, Paul, Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields, arXiv preprint arXiv:1506.09110, 2015
  • Kasiri, Keyvan and Clausi, David and Fieguth, Paul, Structural Representation: Reducing Multi-Modal Image Registration to Mono-Modal Problem, Vision Letters, 1(1), 2015
  • Liu, Li and Long, Yunli and Fieguth, Paul W and Lao, Songyang and Zhao, Guoying, BRINT: binary rotation invariant and noise tolerant texture classification, IEEE Transactions on Image Processing, 23(7), 2014, 3071 - 3084
  • Ahmadi, E and Azimifar, Z and Fieguth, P and Ayatollahi, S, Discriminative graphical model for porous media image synthesis, Iran. J. Sci. Technol, 38, 2014, 177 - 189
  • Liu, Chenyi and Wong, Alexander and Fieguth, Paul and Bizheva, Kostadinka and Bie, Hongxia, Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions, BMC medical imaging, 14(1), 2014
  • Liu, Chenyi and Wong, Alexander and Akhlagh Moayed, Alireza and Fieguth, Paul and Bie, Hongxia and Bizheva, Kostadinka, Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2014, 1 - 11
  • Haines, Lacey and Carter, Kirstie and Marschall, Sebastian and Gawish, Ahmed and Wong, Alex and Fieguth, Paul and Sorbara, Luigina and Bizheva, Kostadinka K, Comparison of Corneal Thickness Measured with Swept Source Anterior Segment Optical Coherence Tomographer, Pentacam and Ultrasound, Investigative Ophthalmology & Visual Science, 55(13), 2014, 2464 - 2464
  • Schwartz, Shimon and Liu, Chenyi and Wong, Alexander and Clausi, David A and Fieguth, Paul and Bizheva, Kostadinka, Energy-guided learning approach to compressive FD-OCT, Optics express, 21(1), 2013, 329 - 344
  • Eichel, Justin A and Wong, Alexander and Fieguth, Paul and Clausi, David A, Robust Spectral Clustering Using Statistical Sub-Graph Affinity Model, PloS one, 8(12), 2013
  • Wong, Alexander and Mishra, Akshaya and Fieguth, Paul and Clausi, David A, Sparse reconstruction of breast mri using homotopic minimization in a regional sparsified domain, IEEE Transactions on Biomedical Engineering, 60(3), 2013, 743 - 752
  • Campaigne, Wesley R and Fieguth, Paul W, Frozen-State Hierarchical Annealing, IEEE Transactions on Image Processing, 22(4), 2013, 1486 - 1497
  • Javad Shafiee, Mohammad and Siva, Parthipan and Fieguth, Paul and Wong, Alexander, Efficient Deep Feature Learning and Extraction via StochasticNets, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, January 2016, 28 - 36
  • Javad Shafiee, Mohammad and Siva, Parthipan and Fieguth, Paul and Wong, Alexander, Embedded Motion Detection via Neural Response Mixture Background Modeling, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, January 2016, 19 - 26
  • Gawish, Ahmed and Fieguth, Paul, External forces for active contours using the undecimated wavelet transform, Image Processing (ICIP), 2015 IEEE International Conference on, January 2015, 1453 - 1457
  • Barshan, Elnaz and Fieguth, Paul and Wong, Alexander, Scalable multi-neighborhood learning for convolutional networks, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP), January 2015, 1 - 6
  • Kasiri, Keyvan and Fieguth, Paul and Clausi, David A, Structural representations for multi-modal image registration based on modified entropy, International Conference Image Analysis and Recognition, January 2015, 82 - 89
  • Mwangi, Gerald and Fieguth, Paul and Garbe, Christoph S, Thermography spatial resolution enhancement by non-rigid registration with visible imagery, Image Processing (ICIP), 2015 IEEE International Conference on, January 2015, 2542 - 2546
  • Liu, Jiange and Scott, K Andrea and Fieguth, Paul, Curvelet based feature extraction of dynamic ice from SAR imagery, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), January 2015, 3462 - 3465
  • Shafiee, MJ and Chung, AG and Wong, A and Fieguth, P, Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields, Image Processing (ICIP), 2015 IEEE International Conference on, January 2015, 3260 - 3264
  • Barshan, Elnaz and Fieguth, Paul, Stage-wise Training: An Improved Feature Learning Strategy for Deep Models, Proceedings of The 1st International Workshop on “Feature Extraction: Modern Questions and Challenges”, NIPS, January 2015, 49 - 59
  • Mwangi, Gerald and Fieguth, Paul and Garbe, Christoph S, Probabilistic continuous edge detection using local symmetry, Image Processing (ICIP), 2015 IEEE International Conference on, January 2015, 2199 - 2203
  • Kasiri, Keyvan and Clausi, David A and Fieguth, Paul, Multi-modal image registration using structural features, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, January 2014, 5550 - 5553
  • Kasiri, Keyvan and Fieguth, Paul and Clausi, David A, Cross modality label fusion in multi-atlas segmentation, 2014 IEEE International Conference on Image Processing (ICIP), January 2014, 16 - 20
  • Carrington, André M and Fieguth, Paul W and Chen, Helen H, A new Mercer sigmoid kernel for clinical data classification, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, January 2014, 6397 - 6401
  • Shafiee, MJ and Wong, A and Siva, P and Fieguth, P, Efficient bayesian inference using fully connected conditional random fields with stochastic cliques, 2014 IEEE International Conference on Image Processing (ICIP), January 2014, 4289 - 4293
  • Gawish, Ahmed and Fieguth, Paul and Marschall, Sebastian and Bizheva, Kostadinka, Undecimated hierarchical active contours for oct image segmentation, 2014 IEEE International Conference on Image Processing (ICIP), January 2014, 882 - 886
  • Barshan, Elnaz and Fieguth, Paul, Scalable learning for restricted Boltzmann machines, 2014 IEEE International Conference on Image Processing (ICIP), January 2014, 2754 - 2758
  • Scharfenberger, Christian and Jain, Aanchal and Wong, Alexander and Fieguth, Paul, Image saliency detection via multi-scale statistical non-redundancy modeling, 2014 IEEE International Conference on Image Processing (ICIP), January 2014, 4294 - 4298
  • Liu, Li and Fieguth, Paul and Zhao, Guoying and Pietikäinen, Matti, Extended local binary pattern fusion for face recognition, 2014 IEEE International Conference on Image Processing (ICIP), January 2014, 718 - 722
  • Liu, Li and Yang, Bing and Fieguth, Paul and Yang, Zheng and Wei, Yingmei, BRINT: A binary rotation invariant and noise tolerant texture descriptor, 2013 IEEE International Conference on Image Processing, January 2013, 255 - 259
  • Marschall, S and Gawish, A and Feng, Y and Sorbara, L and Fieguth, P and Bizheva, K, In-vivo imaging of keratoconic corneas using high-speed high-resolution swept-source OCT, European Conferences on Biomedical Optics, January 2013
  • Bachl, Fabian E and Garbe, Christoph S and Fieguth, Paul, Bayesian inference on integrated continuity fluid flows and their application to dust aerosols, 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, January 2013, 2246 - 2249