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ORCIDPaul W. Fieguth
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- affiliation: University of Waterloo, Canada
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2020 – today
- 2023
[j59]Ala Shaabana, Zahra Gharaee
, Paul W. Fieguth:
Video Relationship Detection Using Mixture of Experts. IEEE Access 11: 26048-26058 (2023)- [j58]André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Olivia Magwood, Yusuf Sheikh, Matthew McInnes, Andreas Holzinger:
Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 329-341 (2023) - [j57]Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Learning for Instance Retrieval: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7270-7292 (2023) - [i23]Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth:
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. CoRR abs/2304.04259 (2023) - 2022
- [j56]Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul W. Fieguth:
Deep learning methods for inverse problems. PeerJ Comput. Sci. 8: e951 (2022) - [c140]André M. Carrington, Paul W. Fieguth, Franz Mayr, Nick D. James, Andreas Holzinger, John W. Pickering, Richard I. Aviv:
The ROC Diagonal is Not Layperson's Chance: A New Baseline Shows the Useful Area. CD-MAKE 2022: 100-113 - [i22]Nicholas Pellegrino, Paul W. Fieguth, Parsin Haji Reza:
Normalized K-Means for Noise-Insensitive Multi-Dimensional Feature Learning. CoRR abs/2202.07754 (2022) - [i21]Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth:
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation. CoRR abs/2206.04785 (2022) - [i20]Nicholas Pellegrino, Zahra Gharaee, Paul W. Fieguth:
Machine Learning Challenges of Biological Factors in Insect Image Data. CoRR abs/2211.02537 (2022) - 2021
- [j55]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Inf. Fusion 76: 243-297 (2021) - [j54]Xiaodan Hu, Mohamed A. Naiel, Zohreh Azimifar, Ibrahim Ben Daya, Mark Lamm, Paul W. Fieguth:
Non-stationary content-adaptive projector resolution enhancement. Signal Process. Image Commun. 97: 116348 (2021) - [j53]Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems: Practical Solutions for Mitigation and Improvement. IEEE Signal Process. Mag. 38(1): 22-30 (2021) - [c139]Kasra Sadatsharifi, Mohamed A. Naiel, Mark Lamm, Paul W. Fieguth:
Efficient Model Based Grid Intersection Detection for Single-Shot 3D Reconstruction. CCECE 2021: 1-6 - [i19]Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Theodoros Georgiou, Paul W. Fieguth, Li Liu, Michael S. Lew:
Deep Image Retrieval: A Survey. CoRR abs/2101.11282 (2021) - [i18]André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Matthew McInnes, Olivia Magwood, Yusuf Sheikh, Andreas Holzinger:
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation. CoRR abs/2103.11357 (2021) - [i17]Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul W. Fieguth:
Survey of Deep Learning Methods for Inverse Problems. CoRR abs/2111.04731 (2021) - 2020
- [j52]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. Int. J. Comput. Vis. 128(2): 261-318 (2020) - [j51]André M. Carrington, Paul W. Fieguth, Hammad Qazi, Andreas Holzinger, Helen H. Chen, Franz Mayr, Douglas G. Manuel:
A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms. BMC Medical Informatics Decis. Mak. 20(1): 4 (2020) - [i16]Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong:
Deep Neural Network Perception Models and Robust Autonomous Driving Systems. CoRR abs/2003.08756 (2020) - [i15]Zobeir Raisi, Mohamed A. Naiel, Paul W. Fieguth, Steven Wardell, John S. Zelek:
Text Detection and Recognition in the Wild: A Review. CoRR abs/2006.04305 (2020) - [i14]Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, Dana Rezazadegan, Li Liu, Mohammad Ghavamzadeh, Paul W. Fieguth, Xiaochun Cao, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, Saeid Nahavandi:
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges. CoRR abs/2011.06225 (2020)
2010 – 2019
- 2019
- [j50]Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
From BoW to CNN: Two Decades of Texture Representation for Texture Classification. Int. J. Comput. Vis. 127(1): 74-109 (2019) - [j49]Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen:
Texture Classification in Extreme Scale Variations Using GANet. IEEE Trans. Image Process. 28(8): 3910-3922 (2019) - [c138]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Assessing Architectural Similarity in Populations of Deep Neural Networks. CVPR Workshops 2019: 496-498 - [c137]Xiaodan Hu, Mohamed A. Naiel, Alexander Wong, Mark Lamm, Paul W. Fieguth:
RUNet: A Robust UNet Architecture for Image Super-Resolution. CVPR Workshops 2019: 505-507 - [c136]Matthew Post, Paul W. Fieguth, Mohamed A. Naiel, Zohreh Azimifar, Mark Lamm:
FRESCO: Fast Radiometric Egocentric Screen Compensation. CVPR Workshops 2019: 1899-1906 - [i13]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Assessing Architectural Similarity in Populations of Deep Neural Networks. CoRR abs/1904.09879 (2019) - [i12]Amir Nazemi, Paul W. Fieguth:
Potential adversarial samples for white-box attacks. CoRR abs/1912.06409 (2019) - 2018
- [j48]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Real-Time Embedded Motion Detection via Neural Response Mixture Modeling. J. Signal Process. Syst. 90(6): 931-946 (2018) - [c135]André M. Carrington, Paul W. Fieguth, Helen H. Chen:
Measures of Model Interpretability for Model Selection. CD-MAKE 2018: 329-349 - [c134]Andrew Hryniowski, Ibrahim Ben Daya, Ahmed Gawish, Mark Lamm, Alexander Wong, Paul W. Fieguth:
Multi-projector Resolution Enhancement Through Biased Interpolation. CRV 2018: 190-197 - [c133]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CRV 2018: 368-374 - [c132]Raquel Bello-Cerezo, Paul W. Fieguth, Francesco Bianconi:
LBP-Motivated Colour Texture Classification. ECCV Workshops (4) 2018: 517-533 - [c131]Fayçal Saffih, Paul W. Fieguth:
Vehicle Longitudinal Acceleration Determination from Mobile Phone Sensor: An IoT System Solution for Intelligent Transportation. ISSPIT 2018: 706-710 - [i11]Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen:
A Survey of Recent Advances in Texture Representation. CoRR abs/1801.10324 (2018) - [i10]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CoRR abs/1802.03318 (2018) - [i9]Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen:
Texture Classification in Extreme Scale Variations using GANet. CoRR abs/1802.04441 (2018) - [i8]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen:
Deep Learning for Generic Object Detection: A Survey. CoRR abs/1809.02165 (2018) - [i7]Xiaodan Hu, Audrey G. Chung, Paul W. Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. CoRR abs/1811.05817 (2018) - [i6]Audrey G. Chung, Paul W. Fieguth, Alexander Wong:
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks. CoRR abs/1811.07966 (2018) - 2017
- [j47]Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth:
Deep Randomly-Connected Conditional Random Fields For Image Segmentation. IEEE Access 5: 366-378 (2017) - [j46]Li Liu, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Local binary features for texture classification: Taxonomy and experimental study. Pattern Recognit. 62: 135-160 (2017) - [c130]Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong:
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. ICCV Workshops 2017: 1220-1227 - [c129]Keyvan Kasiri, Ahmed Gawish, Paul W. Fieguth:
Seam tracking in automated welding. SMC 2017: 22-27 - [i5]Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong:
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis. CoRR abs/1709.02043 (2017) - 2016
- [j45]Christian Koch, Kristina Doycheva, Varun Kasireddy, Burcu Akinci, Paul W. Fieguth:
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]. Adv. Eng. Informatics 30(2): 208-210 (2016) - [j44]Chenyi Liu, Alexander Wong, Alireza A. Moayed, Paul W. Fieguth, Hongxia Bie, Kostadinka K. Bizheva:
Automatic tracking of pupillary dynamics from in vivo functional optical coherence tomography images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4(5): 306-316 (2016) - [j43]Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen, Dewen Hu:
Extended local binary patterns for face recognition. Inf. Sci. 358-359: 56-72 (2016) - [j42]Li Liu, Liansheng Wang, Lingjun Zhao, Paul W. Fieguth:
Random projections and Single BoW for fast and Robust texture segmentation. Inf. Sci. 370-371: 428-445 (2016) - [j41]Jiange Liu, Katharine Andrea Scott, Ahmed Gawish, Paul W. Fieguth:
Automatic Detection of the Ice Edge in SAR Imagery Using Curvelet Transform and Active Contour. Remote. Sens. 8(6): 480 (2016) - [j40]Mohammad Javad Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong:
NeRD: A Neural Response Divergence Approach to Visual Saliency Detection. IEEE Signal Process. Lett. 23(10): 1404-1408 (2016) - [j39]Li Liu, Songyang Lao, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen:
Median Robust Extended Local Binary Pattern for Texture Classification. IEEE Trans. Image Process. 25(3): 1368-1381 (2016) - [c128]Ahmed Gawish, Christian Scharfenberger, Hongbo Bi, Alexander Wong, Paul W. Fieguth, David A. Clausi:
Robust Non-saliency Guided Watermarking. CRV 2016: 32-36 - [c127]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Embedded Motion Detection via Neural Response Mixture Background Modeling. CVPR Workshops 2016: 837-844 - [c126]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Efficient Deep Feature Learning and Extraction via StochasticNets. CVPR Workshops 2016: 1101-1109 - [c125]Li Liu, Paul W. Fieguth, Xiaogang Wang, Matti Pietikäinen, Dewen Hu:
Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark. ECCV (3) 2016: 69-86 - [c124]Keyvan Kasiri, Paul W. Fieguth, David A. Clausi:
Sorted self-similarity for multi-modal image registration. EMBC 2016: 1151-1154 - [c123]Keyvan Kasiri, Paul W. Fieguth, David A. Clausi:
Self-similarity measure for multi-modal image registration. ICIP 2016: 4498-4502 - [i4]M. J. Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong:
NeRD: a Neural Response Divergence Approach to Visual Salience Detection. CoRR abs/1602.01728 (2016) - 2015
- [j38]Christian Koch, Kristina Georgieva, Varun Kasireddy, Burcu Akinci, Paul W. Fieguth:
A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Adv. Eng. Informatics 29(2): 196-210 (2015) - [j37]Alexander Wong, Chenyi Liu, Xiao Wang, Paul W. Fieguth, Hongxia Bie:
Homotopic non-local regularized reconstruction from sparse positron emission tomography measurements. BMC Medical Imaging 15: 10 (2015) - [j36]Li Liu, Paul W. Fieguth, Dewen Hu, Yingmei Wei, Gangyao Kuang:
Fusing Sorted Random Projections for Robust Texture and Material Classification. IEEE Trans. Circuits Syst. Video Technol. 25(3): 482-496 (2015) - [j35]Mohammad Javad Shafiee, Shahid A. Haider, Alexander Wong, Dorothy Lui, Andrew Cameron, Ameen Modhafar, Paul W. Fieguth, Masoom A. Haider:
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields. IEEE Trans. Medical Imaging 34(5): 1111-1124 (2015) - [c122]Keyvan Kasiri, Paul W. Fieguth, David A. Clausi:
Structural Representations for Multi-modal Image Registration Based on Modified Entropy. ICIAR 2015: 82-89 - [c121]Ahmed Gawish, Paul W. Fieguth:
External forces for active contours using the undecimated wavelet transform. ICIP 2015: 1453-1457 - [c120]Gerald Mwangi, Paul W. Fieguth, Christoph S. Garbe:
Probabilistic continuous edge detection using local symmetry. ICIP 2015: 2199-2203 - [c119]Li Liu, Paul W. Fieguth, Matti Pietikäinen, Songyang Lao:
Median robust extended local binary pattern for texture classification. ICIP 2015: 2319-2323 - [c118]Gerald Mwangi, Paul W. Fieguth, Christoph S. Garbe:
Thermography spatial resolution enhancement by non-rigid registration with visible imagery. ICIP 2015: 2542-2546 - [c117]Mohammad Javad Shafiee, Audrey G. Chung, Alexander Wong, Paul W. Fieguth:
Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields. ICIP 2015: 3260-3264 - [c116]Jiange Liu, Katharine Andrea Scott, Paul W. Fieguth:
Curvelet based feature extraction of dynamic ice from SAR imagery. IGARSS 2015: 3462-3465 - [c115]Elnaz Barshan, Paul W. Fieguth, Alexander Wong:
Scalable multi-neighborhood learning for convolutional networks. MLSP 2015: 1-6 - [c114]Elnaz Barshan, Paul W. Fieguth:
Stage-wise Training: An Improved Feature Learning Strategy for Deep Models. FE@NIPS 2015: 49-59 - [i3]Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth:
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. CoRR abs/1506.09110 (2015) - [i2]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Efficient Deep Feature Learning and Extraction via StochasticNets. CoRR abs/1512.03844 (2015) - [i1]Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong:
Domain Adaptation and Transfer Learning in StochasticNets. CoRR abs/1512.05844 (2015) - 2014
- [j34]Chenyi Liu, Alexander Wong, Paul W. Fieguth, Kostadinka K. Bizheva, Hongxia Bie:
Noise-compensated homotopic non-local regularized reconstruction for rapid retinal optical coherence tomography image acquisitions. BMC Medical Imaging 14: 37 (2014) - [j33]Li Liu, Yunli Long, Paul W. Fieguth, Songyang Lao, Guoying Zhao:
BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification. IEEE Trans. Image Process. 23(7): 3071-3084 (2014) - [c113]Keyvan Kasiri, David A. Clausi, Paul W. Fieguth:
Multi-modal image registration using structural features. EMBC 2014: 5550-5553 - [c112]André M. Carrington, Paul W. Fieguth, Helen H. Chen:
A new Mercer sigmoid kernel for clinical data classification. EMBC 2014: 6397-6401 - [c111]Keyvan Kasiri, Paul W. Fieguth, David A. Clausi:
Cross modality label fusion in multi-atlas segmentation. ICIP 2014: 16-20 - [c110]Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen:
Extended local binary pattern fusion for face recognition. ICIP 2014: 718-722 - [c109]Ahmed Gawish, Paul W. Fieguth, Sebastian Marschall, Kostadinka K. Bizheva:
Undecimated hierarchical active contours for oct image segmentation. ICIP 2014: 882-886 - [c108]Elnaz Barshan, Paul W. Fieguth:
Scalable learning for restricted Boltzmann machines. ICIP 2014: 2754-2758 - [c107]M. J. Shafiee, Alexander Wong, Parthipan Siva, Paul W. Fieguth:
Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques. ICIP 2014: 4289-4293 - [c106]Christian Scharfenberger, Aanchal Jain, Alexander Wong, Paul W. Fieguth:
Image saliency detection via multi-scale statistical non-redundancy modeling. ICIP 2014: 4294-4298 - 2013
- [j32]Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Sparse Reconstruction of Breast MRI Using Homotopic L0 Minimization in a Regional Sparsified Domain. IEEE Trans. Biomed. Eng. 60(3): 743-752 (2013) - [j31]Wesley R. Campaigne, Paul W. Fieguth:
Frozen-State Hierarchical Annealing. IEEE Trans. Image Process. 22(4): 1486-1497 (2013) - [c105]Li Liu, Bing Yang, Paul W. Fieguth, Zheng Yang, Yingmei Wei:
BRINT: A binary rotation invariant and noise tolerant texture descriptor. ICIP 2013: 255-259 - [c104]Fabian E. Bachl, Christoph S. Garbe, Paul W. Fieguth:
Bayesian inference on integrated continuity fluid flows and their application to dust aerosols. IGARSS 2013: 2246-2249 - 2012
- [j30]M. Yousefi, Mahmoud Famouri, Behrooz Nasihatkon, Zohreh Azimifar, Paul W. Fieguth:
A robust probabilistic Braille recognition system. Int. J. Document Anal. Recognit. 15(3): 253-266 (2012) - [j29]Li Liu, Lingjun Zhao, Yunli Long, Gangyao Kuang, Paul W. Fieguth:
Extended local binary patterns for texture classification. Image Vis. Comput. 30(2): 86-99 (2012) - [j28]Zohreh Azimifar, Mehdi Amiri, Paul W. Fieguth, Ed Jernigan:
Empirical Study of Wavelet Domain Image Joint Statistics and Proposition of an Efficient Correlation Map. J. Math. Imaging Vis. 43(1): 24-38 (2012) - [j27]Li Liu, Paul W. Fieguth:
Texture Classification from Random Features. IEEE Trans. Pattern Anal. Mach. Intell. 34(3): 574-586 (2012) - [j26]Li Liu, Paul W. Fieguth, David A. Clausi, Gangyao Kuang:
Sorted random projections for robust rotation-invariant texture classification. Pattern Recognit. 45(6): 2405-2418 (2012) - [c103]Aanchal Jain, Alexander Wong, Paul W. Fieguth:
Saliency detection via statistical non-redundancy. ICIP 2012: 1073-1076 - [c102]Abhishek Kumar, Alexander Wong, Paul W. Fieguth, David A. Clausi:
Multi-scale tensor vector field active contour. ICIP 2012: 2557-2560 - [c101]Ying Liu, Dake He, Paul W. Fieguth:
Adaptive post-filtering based on Local Binary Patterns. ICIP 2012: 2905-2908 - [c100]Fabian E. Bachl, Christoph S. Garbe, Paul W. Fieguth:
A Bayesian approach to spaceborn hyperspectral optical flow estimation on dust aerosols. IGARSS 2012: 256-259 - [c99]Chenyi Liu, Paul W. Fieguth, Christoph S. Garbe:
Background subtraction and dust storm detection. IGARSS 2012: 2179-2181 - 2011
- [j25]Wen Zhang, Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Efficient Globally Optimal Registration of Remote Sensing Imagery via Quasi-Random Scale-Space Structural Correlation Energy Functional. IEEE Geosci. Remote. Sens. Lett. 8(5): 997-1001 (2011) - [j24]Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Decoupled Active Contour (DAC) for Boundary Detection. IEEE Trans. Pattern Anal. Mach. Intell. 33(2): 310-324 (2011) - [j23]Alexander Wong, Akshaya Kumar Mishra, Wen Zhang, Paul W. Fieguth, David A. Clausi:
Stochastic image denoising based on Markov-chain Monte Carlo sampling. Signal Process. 91(8): 2112-2120 (2011) - [j22]Ying Liu, Alexander Wong, Paul W. Fieguth:
Synthesis of Remote Sensing Label Fields Using a Tree-Structured Hierarchical Model. IEEE Trans. Geosci. Remote. Sens. 49(6-1): 2060-2070 (2011) - [j21]Alexander Wong, Jacob Scharcanski, Paul W. Fieguth:
Automatic Skin Lesion Segmentation via Iterative Stochastic Region Merging. IEEE Trans. Inf. Technol. Biomed. 15(6): 929-936 (2011) - [c98]Liu Li, Paul W. Fieguth, Gangyao Kuang:
Generalized Local Binary Patterns for Texture Classification. BMVC 2011: 1-11 - [c97]Justin A. Eichel, David A. Clausi, Paul W. Fieguth:
Precise High Speed Multi-Target Multi-Sensor Local Positioning System. CRV 2011: 109-116 - [c96]Neil Cavan, Paul W. Fieguth, David A. Clausi:
Autocalibration: Finding Infinity in a Projective Reconstruction. CRV 2011: 197-203 - [c95]Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
From active contours to active surfaces. CVPR 2011: 2121-2128 - [c94]Li Liu, Paul W. Fieguth, Gangyao Kuang, Hongbin Zha:
Sorted Random Projections for robust texture classification. ICCV 2011: 391-398 - [c93]Yun-Qian Miao, Paul W. Fieguth, Mohamed S. Kamel:
Maneuvering Head Motion Tracking by Coarse-to-Fine Particle Filter. ICIAR (1) 2011: 385-394 - [c92]Fatemeh Moayedi, Zohreh Azimifar, Paul W. Fieguth, Alireza Kazemi:
Adaptive multi-resolution CRF-based contour tracking. ICIP 2011: 497-500 - [c91]Li Liu, Paul W. Fieguth, Gangyao Kuang:
Combining sorted random features for texture classification. ICIP 2011: 833-836 - [c90]Ying Liu, Alexander Wong, Paul W. Fieguth:
A structure-guided conditional sampling model for video resolution enhancement. ICIP 2011: 1169-1172 - [c89]Akshaya Kumar Mishra, Alexander Wong, Paul W. Fieguth, David A. Clausi:
Multi-scale 3D representation via volumetric quasi-random scale space. ICIP 2011: 2105-2108 - [c88]