Fels, A.E.A.E.[Abdelhafid El Alaoui El]
* 2022: Soil Salinity Detection and Mapping in an Environment under Water Stress between 1984 and 2018 (Case of the Largest Oasis in Africa-Morocco)
Fels, S.
* 1998: Iamascope: A Musical Application for Image Processing
* 2001: Classification of Homologous Human Chromosomes Using Mutual Information Maximization
* 2009: Local Image Descriptors Using Supervised Kernel ICA
* 2009: Local Image Descriptors Using Supervised Kernel ICA
* 2011: Developer-centred interface design for computer vision
* 2012: Transforming Cluster-Based Segmentation for Use in OpenVL by Mainstream Developers
* 2013: Developer-friendly segmentation using OpenVL, a high-level task-based abstraction
* 2013: OpenVL: A task-based abstraction for developer-friendly computer vision
* 2013: OpenVL: Abstracting Vision Tasks Using a Segment-Based Language Model
* 2014: Abstraction for Correspondence Search Using Task-Based Controls, An
* 2014: Spheree: An interactive perspective-corrected spherical 3D display
* 2014: Task-based control of articulated human pose detection for OpenVL
* 2015: Biomechanically Constrained Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions
* 2015: Statistical Biomechanical Surface Registration: Application to MR-TRUS Fusion for Prostate Interventions
* 2016: Analysis and Practical Minimization of Registration Error in a Spherical Fish Tank Virtual Reality System
* 2017: Automatic Calibration of a Multiple-Projector Spherical Fish Tank VR Display
* 2023: Scaling Neural Face Synthesis to High FPS and Low Latency by Neural Caching
Includes: Fels, S. Fels, S.[Sidney] Fels, S.[Sid]
17 for Fels, S.
Fels, S.S.
* 2006: Open Source Vision Library (OpenVL) Based Local Positioning System
* 2007: Linear Programming Approach for Multiple Object Tracking, A
* 2007: Multi-Camera Surveillance System that Estimates Quality-of-View Measurement, A
* 2007: OpenVL: Towards A Novel Software Architecture for Computer Vision
* 2008: Evaluation of Background Subtraction Algorithms with Post-Processing
* 2008: Hive: A distributed system for vision processing
* 2008: Optimizing Multiple Object Tracking and Best View Video Synthesis
* 2009: Automatic Classification of Image Registration Problems
* 2009: Uniform image and camera access
* 2011: Classification of image registration problems using support vector machines
* 2011: Conceptual Structure for Computer Vision, A
* 2011: Mapping the Problem Space of Image Registration
* 2011: Towards a General Abstraction through Sequences of Conceptual Operations
* 2011: User oriented language model for face detection
Includes: Fels, S.S. Fels, S.S.[Sidney S.] Fels, S.S.[Sid S.]
14 for Fels, S.S.
Felsberg, M.[Michael]
* 1999: Optimized Fast Algorithms for the Quaternionic Fourier Transform
* 2001: Structure Multivector for Local Analysis of Images
* 2002: Disparity from Monogenic Phase
* 2002: Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters
* 2003: Alpha Scale Spaces on a Bounded Domain
* 2003: Anisotropic Channel Filtering
* 2003: continuous Formulation of intrinsic Dimension, A
* 2003: Monogenic Scale Space on a Bounded Domain and Its Applications, The
* 2003: Probabilistic Definition of Intrinsic Dimensionality for Images, A
* 2004: explicit and compact coding of geometric and structural image information applied to stereo processing, An
* 2004: Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space, The
* 2004: POI Detection Using Channel Clustering and the 2D Energy Tensor
* 2005: Energy Tensors: Quadratic, Phase Invariant Image Operators
* 2005: GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives
* 2005: Monogenic Scale Space on a Rectangular Domain and its Features, The
* 2005: Reconstruction of Probability Density Functions from Channel Representations
* 2005: Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor
* 2005: Wiener Channel Smoothing: Robust Wiener Filtering of Images
* 2006: Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features
* 2006: Correspondence-free Associative Learning
* 2006: Evaluation of Subpixel Tracking Algorithms
* 2006: P-Channels: Robust Multivariate M-Estimation of Large Datasets
* 2007: Accurate Interpolation in Appearance-Based Pose Estimation
* 2007: Covariance Estimation for SAD Block Matching
* 2007: Editorial for the special issue on markerless real-time tracking for augmented reality image synthesis
* 2007: Extending Graph-Cut to Continuous Value Domain Minimization
* 2007: Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion Group
* 2007: Real-time view-based pose recognition and interpolation for tracking initialization
* 2007: Real-Time Visual Recognition of Objects and Scenes Using P-Channel Matching
* 2008: Learning Bayesian tracking for motion estimation
* 2008: On second order operators and quadratic operators
* 2008: On the Relation between Anisotropic Diffusion and Iterated Adaptive Filtering
* 2009: Continuous dimensionality characterization of image structures
* 2009: Efficient computation of channel-coded feature maps through piecewise polynomials
* 2009: Exploratory learning structures in artificial cognitive systems
* 2009: Fast and Accurate Structure and Motion Estimation
* 2009: Integral P-channels for fast and robust region matching
* 2009: Learning Higher-Order Markov Models for Object Tracking in Image Sequences
* 2009: Patch Contour Matching by Correlating Fourier Descriptors
* 2009: Simultaneously learning to recognize and control a low-cost robotic arm
* 2009: Spatio-Featural Scale-Space
* 2010: Affordance Mining: Forming Perception through Action
* 2010: Incremental Computation of Feature Hierarchies
* 2010: Torchlight Navigation
* 2011: Autocorrelation-Driven Diffusion Filtering
* 2011: Channel Coding for Joint Colour and Depth Segmentation
* 2011: Color Persistent Anisotropic Diffusion of Images
* 2011: Correlating fourier descriptors of local patches for road sign recognition
* 2011: Optimization of Quadrature Filters Based on the Numerical Integration of Improper Integrals
* 2011: Structure and motion estimation from rolling shutter video
* 2011: Using Fourier Descriptors and Spatial Models for Traffic Sign Recognition
* 2012: On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising
* 2012: Rolling shutter bundle adjustment
* 2013: Autonomous navigation and sign detector learning
* 2013: Coloring Action Recognition in Still Images
* 2013: Density Driven Diffusion
* 2013: Efficient 7D aerial pose estimation
* 2013: Enhanced Distribution Field Tracking Using Channel Representations
* 2013: Fast iterative five point relative pose estimation
* 2013: Multi-sensor Traffic Scene Dataset with Omnidirectional Video, A
* 2013: Online Learning of Correspondences between Images
* 2013: Probabilistic Hough Voting for Attitude Estimation from Aerial Fisheye Images
* 2013: Rapid explorative direct inverse kinematics learning of relevant locations for active vision
* 2013: Targeted Iterative Filtering
* 2013: Visual Object Tracking VOT2013 Challenge Results, The
* 2013: Weibull manifold in low-level image processing: An application to automatic image focusing, The
* 2014: Accurate Scale Estimation for Robust Visual Tracking
* 2014: Adaptive Color Attributes for Real-Time Visual Tracking
* 2014: Biologically Inspired Online Learning of Visual Autonomous Driving
* 2014: Fast Segmentation of Sparse 3D Point Trajectories Using Group Theoretical Invariants
* 2014: Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry
* 2014: Low-Level Active Vision Framework for Collaborative Unmanned Aircraft Systems, A
* 2014: On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising
* 2014: Painting-91: a large scale database for computational painting categorization
* 2014: Robust Three-View Triangulation Done Fast
* 2014: Scale Coding Bag-of-Words for Action Recognition
* 2014: Semantic Pyramids for Gender and Action Recognition
* 2014: Visual Object Tracking VOT2014 Challenge Results, The
* 2014: Weighted Update and Comparison for Channel-Based Distribution Field Tracking
* 2015: Coloring Channel Representations for Visual Tracking
* 2015: Compact color-texture description for texture classification
* 2015: Convolutional Features for Correlation Filter Based Visual Tracking
* 2015: Deep Semantic Pyramids for Human Attributes and Action Recognition
* 2015: Detecting Rails and Obstacles Using a Train-Mounted Thermal Camera
* 2015: Image Alignment for Panorama Stitching in Sparsely Structured Environments
* 2015: Learning Spatially Regularized Correlation Filters for Visual Tracking
* 2015: Tensor Variational Formulation of Gradient Energy Total Variation, A
* 2015: Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results, The
* 2015: thermal Object Tracking benchmark, A
* 2015: Visual Object Tracking VOT2015 Challenge Results, The
* 2016: Adaptive Decontamination of the Training Set: A Unified Formulation for Discriminative Visual Tracking
* 2016: Aligning the dissimilar: A probabilistic method for feature-based point set registration
* 2016: Beyond Correlation Filters: Learning Continuous Convolution Operators for Visual Tracking
* 2016: Channel Coded Distribution Field Tracking for Thermal Infrared Imagery
* 2016: Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV
* 2016: Deep motion features for visual tracking
* 2016: Enhanced analysis of thermographic images for monitoring of district heat pipe networks
* 2016: Probabilistic Framework for Color-Based Point Set Registration, A
* 2016: Special issue on ICPR 2014 awarded papers
* 2016: Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, The
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2017: DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking
* 2017: Deep Projective 3D Semantic Segmentation
* 2017: Discriminative Scale Space Tracking
* 2017: ECO: Efficient Convolution Operators for Tracking
* 2017: Ellipse Detection for Visual Cyclists Analysis In the Wild
* 2017: Mapping-Based Image Diffusion
* 2017: Robust Accurate Extrinsic Calibration of Static Non-overlapping Cameras
* 2017: Visual Object Tracking VOT2017 Challenge Results, The
* 2018: Approximative Coding Methods for Channel Representations
* 2018: Density Adaptive Point Set Registration
* 2018: Generating Visible Spectrum Images from Thermal Infrared
* 2018: Improved Learning in Convolutional Neural Networks with Shifted Exponential Linear Units (ShELUs)
* 2018: On the Optimization of Advanced DCF-Trackers
* 2018: Scale coding bag of deep features for human attribute and action recognition
* 2018: Sixth Visual Object Tracking VOT2018 Challenge Results, The
* 2018: Unveiling the Power of Deep Tracking
* 2019: ATOM: Accurate Tracking by Overlap Maximization
* 2019: Deep motion and appearance cues for visual tracking
* 2019: Generative Appearance Model for End-To-End Video Object Segmentation, A
* 2019: Seventh Visual Object Tracking VOT2019 Challenge Results, The
* 2020: Confidence Propagation through CNNs for Guided Sparse Depth Regression
* 2020: Learning Fast and Robust Target Models for Video Object Segmentation
* 2020: Learning What to Learn for Video Object Segmentation
* 2020: Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End
* 2021: Bayesian Approach to Reinforcement Learning of Vision-Based Vehicular Control, A
* 2021: Embed Me If You Can: A Geometric Perceptron
* 2021: Graph representation learning for road type classification
* 2021: Ninth Visual Object Tracking VOT2021 Challenge Results, The
* 2022: Dense Gaussian Processes for Few-Shot Segmentation
* 2022: DoodleFormer: Creative Sketch Drawing with Transformers
* 2022: Tenth Visual Object Tracking VOT2022 Challenge Results, The
* 2022: Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer
* 2022: VidHarm: A Clip Based Dataset for Harmful Content Detection
* 2023: Balanced Product of Calibrated Experts for Long-Tailed Recognition
* 2023: DKM: Dense Kernelized Feature Matching for Geometry Estimation
* 2023: First Visual Object Tracking Segmentation VOTS2023 Challenge Results, The
* 2023: Leveraging Optical Flow Features for Higher Generalization Power in Video Object Segmentation
* 2023: Recurrent Graph Neural Networks for Video Instance Segmentation
* 2023: Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook
* 2024: High-fidelity Pseudo-labels for Boosting Weakly-Supervised Segmentation
* 2024: Leveraging the Power of Data Augmentation for Transformer-based Tracking
Includes: Felsberg, M.[Michael] Felsberg, M.
142 for Felsberg, M.
Felsen, P.[Panna]
* 2015: Learning to segment moving objects in videos
* 2015: Recurrent Network Models for Human Dynamics
* 2017: What will Happen Next? Forecasting Player Moves in Sports Videos
* 2018: Where Will They Go? Predicting Fine-Grained Adversarial Multi-agent Motion Using Conditional Variational Autoencoders
* 2019: Learning 3D Human Dynamics From Video
* 2019: Predicting 3D Human Dynamics From Video
* 2020: End-to-End Camera Calibration for Broadcast Videos
Includes: Felsen, P.[Panna] Felsen, P.
7 for Felsen, P.
Felsenberg, D.
* 2015: Localization and Segmentation of 3D Intervertebral Discs in MR Images by Data Driven Estimation
Felsenstein, D.[Daniel]
* 2015: Simulating and Communicating Outcomes in Disaster Management Situations
Felsky, J.F.[Jean Felipe]
* 2016: Forensic Analysis of Manuscript Authorship: An Optimized Computational Approach Based on Texture Descriptors
Felsner, L.[Lina]
* 2021: X-Ray Scatter Estimation Using Deep Splines
Felson, D.[David]
* 2016: Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis
Felsoova, A.[Andrea]
* 2023: Deeplabv3+ Ensemble for Diagnosis of Cardiac Transplant Rejection