default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPaul W. Fieguth
Person information
- affiliation: University of Waterloo, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j63]Amir Nazemi
, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth:
Memory-Efficient Continual Learning Object Segmentation for Long Videos. IEEE Access 12: 97067-97084 (2024)- [j62]Xuefeng Ni, Paul W. Fieguth, Ziji Ma, Bo Shi, Hongli Liu:
Defect detection on multi-type rail surfaces via IoU decoupling and multi-information alignment. Adv. Eng. Informatics 62: 102717 (2024) - [j61]Xuefeng Ni, Paul W. Fieguth, Ziji Ma, Bo Shi, Yuan Qiu, Yuhao Chen, Hongli Liu:
Superpixel-Guided Multi-Type Rail Segmentation via Contextual Information Aggregation. IEEE Trans. Intell. Transp. Syst. 25(10): 14004-14018 (2024) - [i31]Ala Shaabana, Zahra Gharaee, Paul W. Fieguth:
Video Relationship Detection Using Mixture of Experts. CoRR abs/2403.03994 (2024) - [i30]Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul W. Fieguth, Angel X. Chang:
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. CoRR abs/2406.12723 (2024) - [i29]Amir Nazemi, Mohammad Hadi Sepanj, Nicholas Pellegrino, Chris Czarnecki, Paul W. Fieguth:
Particle-Filtering-based Latent Diffusion for Inverse Problems. CoRR abs/2408.13868 (2024) - 2023
- [j60]Ala Shaabana, Zahra Gharaee, Paul W. Fieguth:
Video Relationship Detection Using Mixture of Experts. IEEE Access 11: 26048-26058 (2023) - [j59]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) - [j58]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) - [j57]Nicholas Pellegrino, Paul W. Fieguth, Parsin Haji Reza:
K-Means for noise-insensitive multi-dimensional feature learning. Pattern Recognit. Lett. 170: 113-120 (2023) - [c143]Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth:
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. CVPR Workshops 2023: 2496-2505 - [c142]Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth:
Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation. KDD 2023: 1837-1849 - [c141]Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C. Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth:
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. NeurIPS 2023 - [i28]Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth:
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. CoRR abs/2304.04259 (2023) - [i27]Jinman Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla, Paul W. Fieguth:
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks? CoRR abs/2306.01706 (2023) - [i26]Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C. Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth:
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset. CoRR abs/2307.10455 (2023) - [i25]Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth:
Memory-Efficient Continual Learning Object Segmentation for Long Video. CoRR abs/2309.15274 (2023) - [i24]Dylan Spicker, Amir Nazemi, Joy Hutchinson, Paul W. Fieguth, Sharon I. Kirkpatrick, Michael Wallace, Kevin W. Dodd:
Challenges for Predictive Modeling with Neural Network Techniques using Error-Prone Dietary Intake Data. CoRR abs/2311.09338 (2023) - [i23]Xin Xu, Jinman Park, Paul W. Fieguth:
EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements. CoRR abs/2312.13396 (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]Abhishek Kumar, Alexander Wong, Akshaya Kumar Mishra, David A. Clausi, Paul W. Fieguth:
Tensor vector field based active contours. ICIP 2011: 2833-2836 - [c87]Angus Leigh, Alexander Wong, David A. Clausi, Paul W. Fieguth:
Comprehensive Analysis on the Effects of Noise Estimation Strategies on Image Noise Artifact Suppression Performance. ISM 2011: 97-104 - [c86]M. J. Shafiee, Zohreh Azimifar, Alexander Wong, Paul W. Fieguth:
A Novel Hierarchical Model-Based Frame Rate Up-Conversion via Spatio-temporal Conditional Random Fields. ISM 2011: 228-232 - 2010
- [j20]Alexander Wong, David A. Clausi, Paul W. Fieguth:
CPOL: Complex phase order likelihood as a similarity measure for MR-CT registration. Medical Image Anal. 14(1): 50-57 (2010) - [j19]Akshaya Kumar Mishra, Alexander Wong, David A. Clausi, Paul W. Fieguth:
Quasi-random nonlinear scale space. Pattern Recognit. Lett. 31(13): 1850-1859 (2010) - [c85]Li Liu, Paul W. Fieguth, Gangyao Kuang:
Compressed Sensing for Robust Texture Classification. ACCV (1) 2010: 383-396 - [c84]Akshaya Kumar Mishra, Sepideh Hariri, Alireza A. Moayed, Kostadinka K. Bizheva, Paul W. Fieguth, David A. Clausi:
A cellular automata based semi-automatic algorithm for segmentation of choroidal blood vessels from ultrahigh resolution optical coherence images of rat retina. CCECE 2010: 1-4 - [c83]Alexander Wong, Akshaya Kumar Mishra, David A. Clausi, Paul W. Fieguth:
Quasi-Random Scale Space Approach to Robust Keypoint Extraction in High-Noise Environments. CRV 2010: 25-31 - [c82]Li Liu, Paul W. Fieguth:
Texture CLassification Using Compressed Sensing. CRV 2010: 71-78 - [c81]Shiva Zaboli, Arash Tabibiazar, Paul W. Fieguth:
Organ Recognition Using Gabor Filters. CRV 2010: 94-100 - [c80]Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Decoupled Active Surface for Volumetric Image Segmentation. CRV 2010: 293-300 - [c79]Akshaya Kumar Mishra, Alexander Wong, David A. Clausi, Paul W. Fieguth:
A Bayesian Information Flow Approach to Image Segmentation. CRV 2010: 301-308 - [c78]Alexander Wong, Akshaya Kumar Mishra, David A. Clausi, Paul W. Fieguth:
Mammogram Image Superresolution Based on Statistical Moment Analysis. CRV 2010: 339-346 - [c77]Justin A. Eichel, Kostadinka K. Bizheva, David A. Clausi, Paul W. Fieguth:
Automated 3D Reconstruction and Segmentation from Optical Coherence Tomography. ECCV (3) 2010: 44-57 - [c76]Ehsan Ahmadi, Zohreh Azimifar, Paul W. Fieguth, Sh. Ayatollahi:
Image synthesis using Conditional Random Fields. ICIP 2010: 3997-4000 - [c75]M. J. Shafiee, Zohreh Azimifar, Paul W. Fieguth:
Model-based tracking: Temporal conditional random fields. ICIP 2010: 4645-4648 - [c74]Ying Liu, Alexander Wong, Paul W. Fieguth:
Remote sensing image synthesis. IGARSS 2010: 2467-2470 - [c73]Alexander Wong, Paul W. Fieguth:
A new Bayesian source separation approach to blind decorrelation of SAR data. IGARSS 2010: 4035-4038
2000 – 2009
- 2009
- [j18]Alexander Wong, Paul W. Fieguth:
Fast phase-based registration of multimodal image data. Signal Process. 89(5): 724-737 (2009) - [j17]Alexander Wong, Akshaya Kumar Mishra, Justin Yates, Paul W. Fieguth, David A. Clausi, Jack P. Callaghan:
Intervertebral Disc Segmentation and Volumetric Reconstruction From Peripheral Quantitative Computed Tomography Imaging. IEEE Trans. Biomed. Eng. 56(11): 2748-2751 (2009) - [c72]Alexander Wong, David A. Clausi, Paul W. Fieguth:
Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement. CRV 2009: 108-115 - [c71]Alexander Wong, David A. Clausi, Paul W. Fieguth:
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation. CRV 2009: 299-305 - [c70]Justin A. Eichel, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi, Kostadinka K. Bizheva:
A Novel Algorithm for Extraction of the Layers of the Cornea. CRV 2009: 313-320 - [c69]Ying Liu, Paul W. Fieguth:
Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction. EMMCVPR 2009: 70-83 - [c68]Azadeh Mohebi, Ying Liu, Paul W. Fieguth:
Hierarchical Sampling with Constraints. ICIAR 2009: 23-32 - [c67]Ying Liu, Paul W. Fieguth:
Image Resolution Enhancement with Hierarchical Hidden Fields. ICIAR 2009: 73-82 - [c66]Akshaya Kumar Mishra, Justin A. Eichel, Paul W. Fieguth, David A. Clausi:
VizDraw: A Platform to Convert Online Hand-Drawn Graphics into Computer Graphics. ICIAR 2009: 377-386 - [c65]Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
A Robust Modular Wavelet Network Based Symbol Classifier. ICIAR 2009: 541-550 - [c64]Majid Yoosefi Babadi, Behrooz Nasihatkon, Zohreh Azimifar, Paul W. Fieguth:
Probabilistic estimation of Braille document parameters. ICIP 2009: 2001-2004 - 2008
- [c63]Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Accurate Boundary Localization using Dynamic Programming on Snakes. CRV 2008: 261-268 - [c62]Alexander Wong, Paul W. Fieguth, David A. Clausi:
A perceptually adaptive approach to image denoising using anisotropic non-local means. ICIP 2008: 537-540 - [c61]Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
Robust snake convergence based on dynamic programming. ICIP 2008: 1092-1095 - [c60]Azadeh Mohebi, Paul W. Fieguth:
Statistical fusion and sampling of scientific images. ICIP 2008: 1312-1315 - [c59]Mehdi Amiri, Zohreh Azimifar, Paul W. Fieguth:
Correlated non-linear wavelet shrinkage. ICIP 2008: 2348-2351 - [c58]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth:
Background estimation for microscopic cellular images. ICIP 2008: 3040-3043 - [c57]Alexander Wong, David A. Clausi, Paul W. Fieguth:
Phase-adaptive image signal fusion using complex-valued wavelets. ICPR 2008: 1-4 - [c56]Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi:
An adaptive Monte Carlo approach to nonlinear image denoising. ICPR 2008: 1-4 - [c55]Akshaya Kumar Mishra, Alexander Wong, David A. Clausi, Paul W. Fieguth:
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach. ICVGIP 2008: 621-627 - 2007
- [j16]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth:
Extended-Hungarian-JPDA: Exact Single-Frame Stem Cell Tracking. IEEE Trans. Biomed. Eng. 54(11): 2011-2019 (2007) - [c54]Slawo Wesolkowski, Paul W. Fieguth:
A probabilistic shading invariant color distance measure. EUSIPCO 2007: 1907-1911 - [c53]Azadeh Mohebi, Paul W. Fieguth:
Constrained Sampling Using Simulated Annealing. ICIAR 2007: 198-209 - [c52]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth:
Toward an Optimal Solution for Multitarget Tracking. ICIP (6) 2007: 329-332 - 2006
- [j15]Fu Jin, Paul W. Fieguth, Lowell L. Winger:
Wavelet Video Denoising with Regularized Multiresolution Motion Estimation. EURASIP J. Adv. Signal Process. 2006 (2006) - [j14]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth, John Ramunas, Eric Jervis:
Probabilistic Model-Based Cell Tracking. Int. J. Biomed. Imaging 2006: 12186:1-12186:10 (2006) - [j13]Sunil K. Sinha, Paul W. Fieguth:
Morphological segmentation and classification of underground pipe images. Mach. Vis. Appl. 17(1): 21-31 (2006) - [c51]Slawo Wesolkowski, Paul W. Fieguth:
Hierarchical Region Mean-Based Image Segmentation. CRV 2006: 30 - [c50]Wesley R. Campaigne, Paul W. Fieguth, Simon K. Alexander:
Frozen-State Hierarchical Annealing. ICIAR (1) 2006: 41-52 - [c49]Azadeh Mohebi, Paul W. Fieguth:
Posterior Sampling of Scientific Images. ICIAR (1) 2006: 339-350 - [c48]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth:
A Combined Bayesshrinkwavelet-Ridgelet Technique for Image Denoising. ICME 2006: 1917-1920 - 2005
- [j12]Henry David Venema, Paul H. Calamai, Paul W. Fieguth:
Forest structure optimization using evolutionary programming and landscape ecology metrics. Eur. J. Oper. Res. 164(2): 423-439 (2005) - [j11]Fakhry M. Khellah, Paul W. Fieguth, M. J. Murray, M. Allen:
Statistical processing of large image sequences. IEEE Trans. Image Process. 14(1): 80-93 (2005) - [c47]Fu Jin, Paul W. Fieguth, Lowell L. Winger:
Image Denoising Using Complex Wavelets and Markov Prior Models. ICIAR 2005: 73-80 - [c46]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth, John Ramunas, Eric Jervis:
A Model-Based Hematopoietic Stem Cell Tracker. ICIAR 2005: 861-868 - [c45]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth:
A Narrow-Band Level-Set Method with Dynamic Velocity for Neural Stem Cell Cluster Segmentation. ICIAR 2005: 1006-1013 - [c44]Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan:
Correlated wavelet shrinkage: models of local random fields across multiple resolutions. ICIP (3) 2005: 157-160 - [c43]Nezamoddin Nezamoddini-Kachouie, Leo J. Lee, Paul W. Fieguth:
A probabilistic living cell segmentation model. ICIP (1) 2005: 1137-1140 - 2004
- [c42]Simon K. Alexander, Paul W. Fieguth, Edward R. Vrscay:
Hierarchical annealing for scientific models. ICASSP (3) 2004: 33-36 - [c41]Paul W. Fieguth, Paul Bloore, Adrian Domsa:
Phase-based methods for Fourier shape matching. ICASSP (3) 2004: 425-428 - [c40]Leo J. Lee, Hagai Attias, Li Deng, Paul W. Fieguth:
A multimodal variational approach to learning and inference in switching state space models [speech processing application]. ICASSP (5) 2004: 505-508 - [c39]Slawo Wesolkowski, Paul W. Fieguth:
Hierarchical Regions for Image Segmentation. ICIAR (1) 2004: 9-16 - [c38]Paul W. Fieguth:
Hierarchical MCMC Sampling. ICIAR (1) 2004: 114-121 - [c37]Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth, Ed Jernigan:
BayesShrink Ridgelets for Image Denoising. ICIAR (1) 2004: 163-170 - [c36]Simon K. Alexander, Paul W. Fieguth, Edward R. Vrscay:
Parameterized Hierarchical Annealing for Scientific Models. ICIAR (1) 2004: 236-243 - [c35]Mahdi Sabri, Paul W. Fieguth:
A New Gabor Filter Based Kernel for Texture Classification with SVM. ICIAR (2) 2004: 314-322 - [c34]Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan:
Textures and Wavelet-Domain Joint Statistics. ICIAR (2) 2004: 331-338 - [c33]Fu Jin, Paul W. Fieguth, Lowell L. Winger:
Motion-Compensated Wavelet Video Denoising. ICIAR (1) 2004: 572-579 - [c32]Naif Alajlan, Paul W. Fieguth, Mohamed Kamel:
Robust Shape Retrieval Using Maximum Likelihood Theory. ICIAR (1) 2004: 745-752 - 2003
- [j10]Paul W. Fieguth, Dimitris Menemenlis, Ichiro Fukumori:
Mapping and pseudoinverse algorithms for ocean data assimilation. IEEE Trans. Geosci. Remote. Sens. 41(1): 43-51 (2003) - [c31]Simon K. Alexander, Paul W. Fieguth, Edward R. Vrscay:
Hierarchical Annealing for Random Image Synthesis. EMMCVPR 2003: 194-210 - [c30]Fu Jin, Paul W. Fieguth, Lowell L. Winger, Ed Jernigan:
Adaptive Wiener filtering of noisy images and image sequences. ICIP (3) 2003: 349-352 - [c29]Michael Jamieson, Paul W. Fieguth, Leo J. Lee:
Parametric contour estimation by simulated annealing. ICIP (3) 2003: 449-452 - [c28]Slawo Wesolkowski, Paul W. Fieguth:
A probabilistic framework for image segmentation. ICIP (2) 2003: 451-454 - [c27]Paul W. Fieguth:
Hierarchical posterior sampling for images and random fields. ICIP (1) 2003: 821-824 - 2002
- [j9]Gabriel F. Carballo, Paul W. Fieguth:
Hierarchical network flow phase unwrapping. IEEE Trans. Geosci. Remote. Sens. 40(8): 1695-1708 (2002) - [c26]Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan:
Towards random field modeling of wavelet statistics. ICIP (1) 2002: 361-364 - [c25]Slawo Wesolkowski, Paul W. Fieguth:
Adaptive color image segmentation using Markov random fields. ICIP (3) 2002: 769-772 - [c24]V. K. Mehta, C. M. Hammock, Paul W. Fieguth, H. Krim:
Data fusion of SSM/I channels using multiresolution wavelet transform. IGARSS 2002: 2421-2423 - [c23]Paul W. Fieguth, Dimitris Menemenlis, Ichiro Fukumori:
Mapping and pseudo-inverse algorithms for data assimilation. IGARSS 2002: 3221-3223 - [c22]Fakhry M. Khellah, Paul W. Fieguth:
Efficient interpolation of large image sequences. IGARSS 2002: 3332-3334 - [c21]Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan:
Hierarchical Multiscale Modeling of Wavelet-Based Correlations. SSPR/SPR 2002: 850-860 - 2001
- [j8]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Computationally efficient steady-state multiscale estimation for 1-D diffusion processes. Autom. 37(3): 325-340 (2001) - [j7]Paul W. Fieguth:
Multiply-rooted multiscale models for large-scale estimation. IEEE Trans. Image Process. 10(11): 1676-1686 (2001) - [c20]Paul W. Fieguth, Slawo Wesolkowski:
Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing. EMMCVPR 2001: 314-327 - [c19]Leo J. Lee, Paul W. Fieguth, Li Deng:
A functional articulatory dynamic model for speech production. ICASSP 2001: 797-800 - [c18]Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan:
Wavelet shrinkage with correlated wavelet coefficients. ICIP (3) 2001: 162-165 - 2000
- [j6]Gabriel F. Carballo, Paul W. Fieguth:
Probabilistic cost functions for network flow phase unwrapping. IEEE Trans. Geosci. Remote. Sens. 38(5): 2192-2201 (2000) - [j5]Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Multiscale methods for the segmentation and reconstruction of signals and images. IEEE Trans. Image Process. 9(3): 456-468 (2000) - [c17]Janine Cullen, Paul W. Fieguth, Shane Pounder, Kim Whitear:
Analysis of Corneal Images for Assessing Contact Lens Trauma. ICIP 2000: 176-179 - [c16]Paul W. Fieguth, Riyin Wan:
Fast Retrieval Methods for Images with Significant Variations. ICIP 2000: 522-525 - [c15]Tai Jing Moyung, Paul W. Fieguth:
Incremental Shape Reconstruction Using Stereo Image Sequences. ICIP 2000: 752-755
1990 – 1999
- 1999
- [c14]James M. Rehg, Kevin P. Murphy, Paul W. Fieguth:
Vision-Based Speaker Detection Using Bayesian Networks. CVPR 1999: 2110-2116 - [c13]Anisa Yasmin, Paul W. Fieguth, Li Deng:
Speech enhancement using voice source models. ICASSP 1999: 797-800 - [c12]Paul W. Fieguth, Sunil K. Sinha:
Automated Analysis and Detection of Cracks in Underground Scanned Pipes. ICIP (4) 1999: 395-399 - [c11]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Recursive Multiscale Estimation of Space-Time Random Fields. ICIP (2) 1999: 867-870 - [c10]Paul W. Fieguth:
Foveated Multiscale Models for Large-Scale Estimation. ICIP (2) 1999: 871-874 - 1998
- [j4]Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction. Comput. Vis. Image Underst. 70(2): 157-176 (1998) - [c9]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Computationally Efficient Multiscale Estimation of Large-Scale Dynamic Systems. ICIP (3) 1998: 274-278 - [c8]Paul W. Fieguth:
Multipole-Motivated Reduced-State Estimation. ICIP (1) 1998: 635-638 - 1997
- [j3]William W. Irving, Paul W. Fieguth, Alan S. Willsky:
An overlapping tree approach to multiscale stochastic modeling and estimation. IEEE Trans. Image Process. 6(11): 1517-1529 (1997) - [c7]Paul W. Fieguth, Demetri Terzopoulos:
Color-Based Tracking of Heads and Other Mobile Objects at Video Frame Rates. CVPR 1997: 21-27 - 1996
- [j2]Paul W. Fieguth, Alan S. Willsky:
Fractal estimation using models on multiscale trees. IEEE Trans. Signal Process. 44(5): 1297-1300 (1996) - [c6]Michael K. Schneider, Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Multiscale methods for the segmentation of images. ICASSP 1996: 2247-2250 - [c5]Terrence T. Ho, Paul W. Fieguth, Alan S. Willsky:
Multiresolution stochastic models for the efficient solution of large-scale space-time estimation problems. ICASSP 1996: 3097-3100 - [c4]Paul W. Fieguth, Alan S. Willsky, Dimitris Menemenlis, Carl Wunsch:
A general multiresolution approach to the estimation of dense fields in remote sensing. ICIP (2) 1996: 609-612 - 1995
- [b1]Paul W. Fieguth:
Application of multiscale estimation to large scale multidimensional imaging and remote sensing problems. Massachusetts Institute of Technology, Cambridge, MA, USA, 1995 - [j1]Paul W. Fieguth, William Clement Karl, Alan S. Willsky, Carl Wunsch:
Multiresolution optimal interpolation and statistical analysis of TOPEX/POSEIDON satellite altimetry. IEEE Trans. Geosci. Remote. Sens. 33(2): 280-292 (1995) - [c3]Paul W. Fieguth, William Clement Karl, Alan S. Willsky:
Multiresolution statistical analysis and assimilation of large ocean data sets. ICASSP 1995: 2781-2784 - [c2]Paul W. Fieguth, William W. Irving, Alan S. Willsky:
Multiresolution model development for overlapping trees via canonical correlation analysis. ICIP 1995: 45-48 - 1994
- [c1]Paul W. Fieguth, Alan S. Willsky, William Clement Karl:
Multiresolution Stochastic Imaging of Satellite Oceanographic Altimetric Data. ICIP (2) 1994: 1-5
Coauthor Index
Mohammad Javad Shafiee
aka: M. J. Shafiee
aka: M. J. Shafiee
[j53] [i16] [c138] [c137] [i13] [j48] [c134] [c133] [i10] [i7] [i6] [j47] [c130] [i5] [j44] [j40] [c128] [c127] [c126] [i4] [j37] [j35] [c117] [c115] [i3] [i2] [i1] [j34] [c107] [c106] [j32] [c103] [c102] [j25] [j23] [j22] [j21] [c90] [c89] [c88] [c87] [c86] [j20] [j19] [c83] [c79] [c78] [c74] [c73] [j18] [j17] [c72] [c71] [c62] [c57] [c56] [c55]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 20:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
