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