Fieguth, P.
* 2010: Model-based tracking: Temporal conditional random fields
* 2012: robust probabilistic Braille recognition system, A
* 2016: Embedded Motion Detection via Neural Response Mixture Background Modeling
* 2016: NeRD: A Neural Response Divergence Approach to Visual Saliency Detection
* 2018: Multi-projector Resolution Enhancement Through Biased Interpolation
* 2018: Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence
* 2023: CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning
* 2023: Deep Learning for Instance Retrieval: A Survey
Includes: Fieguth, P. Fieguth, P.[Paul]
8 for Fieguth, P.
Fieguth, P.W.[Paul W.]
* 1994: Multiresolution stochastic imaging of satellite oceanographic altimetric data
* 1995: Multiresolution model development for overlapping trees via canonical correlation analysis
* 1995: Multiresolution Optimal Interpolation and Statistical Analysis of Topex/Poseidon Satellite Altimetry
* 1996: general multiresolution approach to the estimation of dense fields in remote sensing, A
* 1996: Multiscale Methods for the Segmentation of Images
* 1997: Color Based Tracking of Heads and Other Mobile Objects at Video Frame Rates
* 1997: Overlapping Tree Approach to Multiscale Stochastic Modeling and Estimation, An
* 1998: Computationally efficient multiscale estimation of large-scale dynamic systems
* 1998: Efficient Multiresolution Counterparts to Variational Methods for Surface Reconstruction
* 1998: Multipole-motivated reduced-state estimation
* 1999: Automated analysis and detection of cracks in underground scanned pipes
* 1999: Foveated Multiscale Models for Large-Scale Estimation
* 1999: Recursive Multiscale Estimation of Space-Time Random Fields
* 1999: Vision-Based Speaker Detection Using Bayesian Networks
* 2000: Analysis of Corneal Images for Assessing Contact Lens Trauma
* 2000: Fast Retrieval Methods for Images with Significant Variations
* 2000: Incremental Shape Reconstruction Using Stereo Image Sequences
* 2000: Multiscale Methods for the Segmentation and Reconstruction of Signals and Images
* 2000: Probabilistic Cost Functions for Network Flow Phase Unwrapping
* 2001: Computationally efficient steadystate multiscale estimation for 1-d diffusion processes
* 2001: Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing
* 2001: Multiply-rooted multiscale models for large-scale estimation
* 2001: Wavelet Shrinkage with Correlated Wavelet Coefficients
* 2002: Adaptive color image segmentation using markov random fields
* 2002: Hierarchical network flow phase unwrapping
* 2002: Towards random field modeling of wavelet statistics
* 2003: Adaptive Wiener filtering of noisy images and image sequences
* 2003: Hierarchical posterior sampling for images and random fields
* 2003: Image sampling by hierarchical annealing
* 2003: Parametric contour estimation by simulated annealing
* 2003: probabilistic framework for image segmentation, A
* 2004: BayesShrink Ridgelets for Image Denoising
* 2004: Hierarchical MCMC Sampling
* 2004: Hierarchical Regions for Image Segmentation
* 2004: Motion-Compensated Wavelet Video Denoising
* 2004: New Gabor Filter Based Kernel for Texture Classification with SVM, A
* 2004: Parameterized Hierarchical Annealing for Scientific Models
* 2004: Robust Shape Retrieval Using Maximum Likelihood Theory
* 2004: Textures and Wavelet-Domain Joint Statistics
* 2005: Correlated Wavelet Shrinkage: Models of Local Random Fields Across Multiple Resolutions
* 2005: Image Denoising Using Complex Wavelets and Markov Prior Models
* 2005: Model-Based Hematopoietic Stem Cell Tracker, A
* 2005: Narrow-Band Level-Set Method with Dynamic Velocity for Neural Stem Cell Cluster Segmentation, A
* 2005: Probabilistic Living Cell Segmentation Model, A
* 2005: Statistical Processing of Large Image Sequences
* 2006: Frozen-State Hierarchical Annealing
* 2006: Hierarchical Region Mean-Based Image Segmentation
* 2006: Morphological segmentation and classification of underground pipe images
* 2006: Posterior Sampling of Scientific Images
* 2007: Constrained Sampling Using Simulated Annealing
* 2007: Toward an Optimal Solution for Multitarget Tracking
* 2008: Accurate Boundary Localization using Dynamic Programming on Snakes
* 2008: adaptive Monte Carlo approach to nonlinear image denoising, An
* 2008: Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
* 2008: Background estimation for microscopic cellular images
* 2008: Correlated non-linear wavelet shrinkage
* 2008: perceptually adaptive approach to image denoising using anisotropic non-local means, A
* 2008: Phase-Adaptive Image Signal Fusion Using Complex-Valued Wavelets
* 2008: Robust snake convergence based on dynamic programming
* 2008: Statistical fusion and sampling of scientific images
* 2009: Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement
* 2009: Hierarchical Sampling with Constraints
* 2009: Image Resolution Enhancement with Hierarchical Hidden Fields
* 2009: Novel Algorithm for Extraction of the Layers of the Cornea, A
* 2009: Parallel Hidden Hierarchical Fields for Multi-scale Reconstruction
* 2009: Probabilistic estimation of Braille document parameters
* 2009: Robust Modular Wavelet Network Based Symbol Classifier, A
* 2009: SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
* 2009: VizDraw: A Platform to Convert Online Hand-Drawn Graphics into Computer Graphics
* 2010: Automated 3D Reconstruction and Segmentation from Optical Coherence Tomography
* 2010: Bayesian Information Flow Approach to Image Segmentation, A
* 2010: Compressed Sensing for Robust Texture Classification
* 2010: Decoupled Active Surface for Volumetric Image Segmentation
* 2010: Image synthesis using Conditional Random Fields
* 2010: Mammogram Image Superresolution Based on Statistical Moment Analysis
* 2010: Organ Recognition Using Gabor Filters
* 2010: Quasi-random nonlinear scale space
* 2010: Quasi-Random Scale Space Approach to Robust Keypoint Extraction in High-Noise Environments
* 2010: Statistical Image Processing and Multidimensional Modeling
* 2010: Texture CLassification Using Compressed Sensing
* 2011: Adaptive multi-resolution CRF-based contour tracking
* 2011: Autocalibration: Finding Infinity in a Projective Reconstruction
* 2011: Combining sorted random features for texture classification
* 2011: Decoupled Active Contour (DAC) for Boundary Detection
* 2011: From active contours to active surfaces
* 2011: Generalized Local Binary Patterns for Texture Classification
* 2011: Maneuvering Head Motion Tracking by Coarse-to-Fine Particle Filter
* 2011: Multi-scale 3D representation via volumetric quasi-random scale space
* 2011: Precise High Speed Multi-Target Multi-Sensor Local Positioning System
* 2011: Sorted Random Projections for robust texture classification
* 2011: structure-guided conditional sampling model for video resolution enhancement, A
* 2011: Tensor vector field based active contours
* 2012: Adaptive post-filtering based on Local Binary Patterns
* 2012: Empirical Study of Wavelet Domain Image Joint Statistics and Proposition of an Efficient Correlation Map
* 2012: Extended local binary patterns for texture classification
* 2012: Multi-scale tensor vector field active contour
* 2012: Saliency detection via statistical non-redundancy
* 2012: Texture Classification from Random Features
* 2013: BRINT: A binary rotation invariant and noise tolerant texture descriptor
* 2013: Frozen-State Hierarchical Annealing
* 2014: BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification
* 2014: Cross modality label fusion in multi-atlas segmentation
* 2014: Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques
* 2014: Extended local binary pattern fusion for face recognition
* 2014: Image saliency detection via multi-scale statistical non-redundancy modeling
* 2014: Scalable learning for restricted Boltzmann machines
* 2014: Undecimated hierarchical active contours for oct image segmentation
* 2015: Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields
* 2015: External forces for active contours using the undecimated wavelet transform
* 2015: Fusing Sorted Random Projections for Robust Texture and Material Classification
* 2015: Improved fine structure modeling via guided stochastic clique formation in fully connected conditional random fields
* 2015: Median Robust Extended Local Binary Pattern for Texture Classification
* 2015: Probabilistic continuous edge detection using local symmetry
* 2015: Structural Representations for Multi-modal Image Registration Based on Modified Entropy
* 2015: Thermography spatial resolution enhancement by non-rigid registration with visible imagery
* 2016: Automatic Detection of the Ice Edge in SAR Imagery Using Curvelet Transform and Active Contour
* 2016: Efficient Deep Feature Learning and Extraction via StochasticNets
* 2016: Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark
* 2016: Median Robust Extended Local Binary Pattern for Texture Classification
* 2016: Robust Non-saliency Guided Watermarking
* 2016: Self-similarity measure for multi-modal image registration
* 2017: Local binary features for texture classification: Taxonomy and experimental study
* 2017: Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis, The
* 2018: LBP-Motivated Colour Texture Classification
* 2019: From BoW to CNN: Two Decades of Texture Representation for Texture Classification
* 2019: Texture Classification in Extreme Scale Variations Using GANet
* 2020: Deep Learning for Generic Object Detection: A Survey
* 2021: Non-stationary content-adaptive projector resolution enhancement
* 2023: Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation
* 2023: K-Means for noise-insensitive multi-dimensional feature learning
Includes: Fieguth, P.W.[Paul W.] Fieguth, P.W.
130 for Fieguth, P.W.