Paul W. Fieguth

ORCID

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 84

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Xin Xu, Jinman Park, Paul W. Fieguth
EPNet: An Efficient Pyramid Network for Enhanced Single-Image Super-Resolution with Reduced Computational Requirements. CoRR (2023)
Nicholas Pellegrino, Paul W. Fieguth, Parsin Haji Reza
K-Means for noise-insensitive multi-dimensional feature learning. Pattern Recognit. Lett. 170 (2023)
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 (2023)
Amir Nazemi, Mohammad Javad Shafiee, Zahra Gharaee, Paul W. Fieguth
Memory-Efficient Continual Learning Object Segmentation for Long Video. CoRR (2023)
Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. CoRR (2023)
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) (2023)
Jinman Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla, Paul W. Fieguth
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks? CoRR (2023)
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 (2023)
Ala Shaabana, Zahra Gharaee, Paul W. Fieguth
Video Relationship Detection Using Mixture of Experts. IEEE Access 11 (2023)
Amir Nazemi, Zeyad Moustafa, Paul W. Fieguth
CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning. CVPR Workshops (2023)
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)
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)
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) (2023)
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)
Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth
Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation. CoRR (2022)
Nicholas Pellegrino, Zahra Gharaee, Paul W. Fieguth
Machine Learning Challenges of Biological Factors in Insect Image Data. CoRR (2022)
Nicholas Pellegrino, Paul W. Fieguth, Parsin Haji Reza
Normalized K-Means for Noise-Insensitive Multi-Dimensional Feature Learning. CoRR (2022)
Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul W. Fieguth
Deep learning methods for inverse problems. PeerJ Comput. Sci. 8 (2022)
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 (2021)
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 (2021)
Kasra Sadatsharifi, Mohamed A. Naiel, Mark Lamm, Paul W. Fieguth
Efficient Model Based Grid Intersection Detection for Single-Shot 3D Reconstruction. CCECE (2021)
Shima Kamyab, Zohreh Azimifar, Rasool Sabzi, Paul W. Fieguth
Survey of Deep Learning Methods for Inverse Problems. CoRR (2021)
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 (2021)
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 (2021)
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) (2021)
Zobeir Raisi, Mohamed A. Naiel, Paul W. Fieguth, Steven Wardell, John S. Zelek
Text Detection and Recognition in the Wild: A Review. CoRR (2020)
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) (2020)
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) (2020)
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul W. Fieguth, Alexander Wong
Deep Neural Network Perception Models and Robust Autonomous Driving Systems. CoRR (2020)
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 (2020)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Assessing Architectural Similarity in Populations of Deep Neural Networks. CoRR (2019)
Xiaodan Hu, Mohamed A. Naiel, Alexander Wong, Mark Lamm, Paul W. Fieguth
RUNet: A Robust UNet Architecture for Image Super-Resolution. CVPR Workshops (2019)
Amir Nazemi, Paul W. Fieguth
Potential adversarial samples for white-box attacks. CoRR (2019)
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) (2019)
Matthew Post, Paul W. Fieguth, Mohamed A. Naiel, Zohreh Azimifar, Mark Lamm
FRESCO: Fast Radiometric Egocentric Screen Compensation. CVPR Workshops (2019)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Assessing Architectural Similarity in Populations of Deep Neural Networks. CVPR Workshops (2019)
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) (2019)
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) (2018)
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul W. Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen
Deep Learning for Generic Object Detection: A Survey. CoRR (2018)
André M. Carrington, Paul W. Fieguth, Helen H. Chen
Measures of Model Interpretability for Model Selection. CD-MAKE (2018)
Li Liu, Jie Chen, Paul W. Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen
A Survey of Recent Advances in Texture Representation. CoRR (2018)
Li Liu, Jie Chen, Guoying Zhao, Paul W. Fieguth, Xilin Chen, Matti Pietikäinen
Texture Classification in Extreme Scale Variations using GANet. CoRR (2018)
Fayçal Saffih, Paul W. Fieguth
Vehicle Longitudinal Acceleration Determination from Mobile Phone Sensor: An IoT System Solution for Intelligent Transportation. ISSPIT (2018)
Raquel Bello-Cerezo, Paul W. Fieguth, Francesco Bianconi
LBP-Motivated Colour Texture Classification. ECCV Workshops (4) (2018)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Mitigating Architectural Mismatch During the Evolutionary Synthesis of Deep Neural Networks. CoRR (2018)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CoRR (2018)
Andrew Hryniowski, Ibrahim Ben Daya, Ahmed Gawish, Mark Lamm, Alexander Wong, Paul W. Fieguth
Multi-projector Resolution Enhancement Through Biased Interpolation. CRV (2018)
Audrey G. Chung, Paul W. Fieguth, Alexander Wong
Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence. CRV (2018)
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 (2018)
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)
Li Liu, Paul W. Fieguth, Yulan Guo, Xiaogang Wang, Matti Pietikäinen
Local binary features for texture classification: Taxonomy and experimental study. Pattern Recognit. 62 (2017)
Keyvan Kasiri, Ahmed Gawish, Paul W. Fieguth
Seam tracking in automated welding. SMC (2017)
Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth
Deep Randomly-Connected Conditional Random Fields For Image Segmentation. IEEE Access 5 (2017)
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 (2017)
Li Liu, Liansheng Wang, Lingjun Zhao, Paul W. Fieguth
Random projections and Single BoW for fast and Robust texture segmentation. Inf. Sci. (2016)
Keyvan Kasiri, Paul W. Fieguth, David A. Clausi
Sorted self-similarity for multi-modal image registration. EMBC (2016)
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) (2016)
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)
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) (2016)
Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
Efficient Deep Feature Learning and Extraction via StochasticNets. CVPR Workshops (2016)
Chenyi Liu, Alexander Wong, Alireza A. Moayed, Paul W. Fieguth, Hongxia Bie, Kostadinka K. Bizheva
functional optical coherence tomography images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 4 (5) (2016)
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) (2016)
Keyvan Kasiri, Paul W. Fieguth, David A. Clausi
Self-similarity measure for multi-modal image registration. ICIP (2016)
Jiange Liu, K. 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) (2016)
M. J. Shafiee, Parthipan Siva, Christian Scharfenberger, Paul W. Fieguth, Alexander Wong
NeRD: a Neural Response Divergence Approach to Visual Salience Detection. CoRR (2016)
Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen, Dewen Hu
Extended local binary patterns for face recognition. Inf. Sci. (2016)
Ahmed Gawish, Christian Scharfenberger, Hongbo Bi, Alexander Wong, Paul W. Fieguth, David A. Clausi
Robust Non-saliency Guided Watermarking. CRV (2016)
Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
Embedded Motion Detection via Neural Response Mixture Background Modeling. CVPR Workshops (2016)
Gerald Mwangi, Paul W. Fieguth, Christoph S. Garbe
Probabilistic continuous edge detection using local symmetry. ICIP (2015)
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) (2015)
Li Liu, Paul W. Fieguth, Matti Pietikäinen, Songyang Lao
Median robust extended local binary pattern for texture classification. ICIP (2015)
Jiange Liu, K. Andrea Scott, Paul W. Fieguth
Curvelet based feature extraction of dynamic ice from SAR imagery. IGARSS (2015)
Ahmed Gawish, Paul W. Fieguth
External forces for active contours using the undecimated wavelet transform. ICIP (2015)
Elnaz Barshan, Paul W. Fieguth
Stage-wise Training: An Improved Feature Learning Strategy for Deep Models. FE@NIPS (2015)
Elnaz Barshan, Paul W. Fieguth, Alexander Wong
Scalable multi-neighborhood learning for convolutional networks. MLSP (2015)
Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
Efficient Deep Feature Learning and Extraction via StochasticNets. CoRR (2015)
Gerald Mwangi, Paul W. Fieguth, Christoph S. Garbe
Thermography spatial resolution enhancement by non-rigid registration with visible imagery. ICIP (2015)
Keyvan Kasiri, Paul W. Fieguth, David A. Clausi
Structural Representations for Multi-modal Image Registration Based on Modified Entropy. ICIAR (2015)
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) (2015)
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) (2015)
Mohammad Javad Shafiee, Alexander Wong, Paul W. Fieguth
Forming A Random Field via Stochastic Cliques: From Random Graphs to Fully Connected Random Fields. CoRR (2015)
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)
Mohammad Javad Shafiee, Parthipan Siva, Paul W. Fieguth, Alexander Wong
Domain Adaptation and Transfer Learning in StochasticNets. CoRR (2015)
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 (2015)
Keyvan Kasiri, Paul W. Fieguth, David A. Clausi
Cross modality label fusion in multi-atlas segmentation. ICIP (2014)
Li Liu, Paul W. Fieguth, Guoying Zhao, Matti Pietikäinen
Extended local binary pattern fusion for face recognition. ICIP (2014)
Christian Scharfenberger, Aanchal Jain, Alexander Wong, Paul W. Fieguth
Image saliency detection via multi-scale statistical non-redundancy modeling. ICIP (2014)
M. J. Shafiee, Alexander Wong, Parthipan Siva, Paul W. Fieguth
Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques. ICIP (2014)
André M. Carrington, Paul W. Fieguth, Helen H. Chen
A new Mercer sigmoid kernel for clinical data classification. EMBC (2014)
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) (2014)
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 (2014)
Keyvan Kasiri, David A. Clausi, Paul W. Fieguth
Multi-modal image registration using structural features. EMBC (2014)
Ahmed Gawish, Paul W. Fieguth, Sebastian Marschall, Kostadinka K. Bizheva
Undecimated hierarchical active contours for oct image segmentation. ICIP (2014)
Elnaz Barshan, Paul W. Fieguth
Scalable learning for restricted Boltzmann machines. ICIP (2014)
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieguth, David A. Clausi
Minimization in a Regional Sparsified Domain. IEEE Trans. Biomed. Eng. 60 (3) (2013)
Li Liu, Bing Yang, Paul W. Fieguth, Zheng Yang, Yingmei Wei
BRINT: A binary rotation invariant and noise tolerant texture descriptor. ICIP (2013)
Wesley R. Campaigne, Paul W. Fieguth
Frozen-State Hierarchical Annealing. IEEE Trans. Image Process. 22 (4) (2013)
Fabian E. Bachl, Christoph S. Garbe, Paul W. Fieguth
Bayesian inference on integrated continuity fluid flows and their application to dust aerosols. IGARSS (2013)
M. Yousefi, Mahmoud Famouri, Behrooz Nasihatkon, Zohreh Azimifar, Paul W. Fieguth
A robust probabilistic Braille recognition system. Int. J. Document Anal. Recognit. 15 (3) (2012)
Li Liu, Paul W. Fieguth
Texture Classification from Random Features. IEEE Trans. Pattern Anal. Mach. Intell. 34 (3) (2012)

Paul W. Fieguth.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Paul W. Fieguth