


default search action
Paul 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) - [c144]Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Eyriay, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul W. Fieguth, Angel X. Chang:
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity. NeurIPS 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]