Index for stau

Staub, G. * 2021: RPAS Based Tracking of Machinery Used in Asphalt Paving Process
* 2022: Glacier Monitoring Based on Multi-Spectral and Multi-Temporal Satellite Data: A Case Study for Classification with Respect to Different Snow and Ice Types
Includes: Staub, G. Staub, G.[Guido]

Staubach, M. * 2013: Identification and analysis of motives for eco-friendly driving within the eco-move project
* 2014: Information modalities and timing of ecological driving support advices

Stauber, F.[Frederic] * 2015: Steerable PCA for Rotation-Invariant Image Recognition
Includes: Stauber, F.[Frederic] Stauber, F.[Frédéric]

Stauber, M.[Martin] * 2024: Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction

Stauch, G.[Georg] * 2020: Surface Roughness Estimation in the Orog Nuur Basin (Southern Mongolia) Using Sentinel-1 SAR Time Series and Ground-Based Photogrammetry

Staudenmaier, A.[Armin] * 2012: Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to Us Speed Limit Detection

Stauder, J.[Juergen] * 1995: Estimation of point light source parameters for object-based coding
* 1999: Detection of Moving Cast Shadows for Object Segmentation
* 1999: Motion-based Video Indexing Evaluating Object Shading
* 2000: Point Light Source Estimation from Two Images and Its Limits
* 2001: Illumination Effect Descriptor for Video Sequences, An
* 2002: Method for detecting moving cast shadows object segmentation
* 2008: Method for identification of tokens in video sequences
* 2010: Modern displays: Why we see different colors, and what it means?
* 2013: Approximate Cross Channel Color Mapping from Sparse Color Correspondences
* 2014: Illumination and device invariant image stitching
* 2020: Repeated Look-Up Tables
Includes: Stauder, J.[Juergen] Stauder, J. Stauder, J.[Jürgen] Stauder, J.[Jurgen]
11 for Stauder, J.

Stauder, R.[Ralf] * 2016: Parsing human skeletons in an operating room

Staudigl, L.[Luitpold] * 2024: Domain Aligned CLIP for Few-shot Classification

Staudt, D. * 2022: Effortless Training of Joint Energy-Based Models with Sliced Score Matching

Staudt, E.[Elliot] * 2010: Multi-target tracking using long-term stochastic associations
* 2010: Stochastic Graph Evolution Framework for Robust Multi-target Tracking, A
* 2015: Camera Network Tracking (CamNeT) Dataset and Performance Baseline, A

Stauduhar, R. * 1997: Multiresolution statistical analysis of high-resolution digital mammograms
* 1998: Multiresolution Probability Analysis of Gray-Scaled Images

Stauffer, C. * 1998: Forest of Sensors: Using Adaptive Tracking to Classify and Monitor Activities in a Site
* 1998: Minimally Supervised Classification
* 1998: Using Adaptive Tracking to Classify and Monitor Activities in a Site
* 1999: Adaptive Background Mixture Models for Real-time Tracking
* 1999: Automatic Hierarchical Classification Using Time-based Co-occurrences
* 1999: Video Surveillance of Interactions
* 2000: Learning Patterns of Activity Using Real-Time Tracking
* 2001: Learning Object-Independent Modes of Variation with Feature Flow Fields
* 2001: Similarity Templates for Detection and Recognition
* 2003: Automated multi-camera planar tracking correspondence modeling
* 2003: Minimally-supervised classification using multiple observation sets
* 2004: Learning a Factorized Segmental Representation of Far-Field Tracking Data
* 2004: Learning a Probabilistic Similarity Function for Segmentation
* 2005: Automated Audio-visual Activity Analysis
* 2005: Learning to Track Objects Through Unobserved Regions
* 2006: Translation Templates for Object Matching Across Predictable Pose Variation
* 2013: Real-time tracking of low-resolution vehicles for wide-area persistent surveillance
* 2014: Unsupervised Non-parametric Geospatial Modeling from Ground Imagery
* 2017: End-to-End Face Detection and Cast Grouping in Movies Using Erdos-Renyi Clustering
* 2017: Template adaptation for face verification and identification
* 2018: Template adaptation for face verification and identification
Includes: Stauffer, C. Stauffer, C.[Chris] Stauffer, C.[Christopher]
21 for Stauffer, C.

Stauffer, M.[Michael] * 2012: Unified Image Registration Framework for ITK, A
* 2016: Graph-Based Keyword Spotting in Historical Handwritten Documents
* 2016: Novel Graph Database for Handwritten Word Images, A
* 2017: Speeding-Up Graph-Based Keyword Spotting by Quadtree Segmentations
* 2017: Speeding-Up Graph-Based Keyword Spotting in Historical Handwritten Documents
* 2017: Survey on Applications of Bipartite Graph Edit Distance, A
* 2018: Keyword spotting in historical handwritten documents based on graph matching
* 2019: Graph-based keyword spotting in historical manuscripts using Hausdorff edit distance
* 2020: Filters for graph-based keyword spotting in historical handwritten documents
9 for Stauffer, M.

Stauffer, N.L.[Norman L.] * 1976: Distance determining and automatic focusing apparatus
* 1977: Focus detecting apparatus

Stauffer, R.[Ryan] * 2018: Atmospheric Trace Gas (NO2 and O3) Variability in South Korean Coastal Waters, and Implications for Remote Sensing of Coastal Ocean Color Dynamics
* 2022: Low-Cost GNSS and Real-Time PPP: Assessing the Precision of the u-blox ZED-F9P for Kinematic Monitoring Applications
Includes: Stauffer, R.[Ryan] Stauffer, R.[Raphael]

Staunstrup, J. * 1984: Experiments with a Fast String Searching Algorithm

Staunton, R.[Richard] * 2013: Rational-operator-based depth-from-defocus approach to scene reconstruction
* 2014: Adaptive deformation correction of depth from defocus for object reconstruction

Staunton, R.C. * 1989: Design Of Hexagonal Sampling Structures for Image Digitization and Their Use with Local Operators, The
* 1996: Analysis of Hexagonal Thinning Algorithms and Skeletal Shape Representation, An
* 1998: Edge Operator Error Estimation Incorporating Measurements of CCD TV Camera Transfer Function
* 2001: One-pass parallel hexagonal thinning algorithm
* 2005: Detected edge position evaluation using measured acquisition system parameters
* 2005: Integration of multiresolution image segmentation and neural networks for object depth recovery
* 2005: Optimising basic edge detectors for particular acquisition systems
* 2007: modified fuzzy C-means image segmentation algorithm for use with uneven illumination patterns, A
* 2008: Measurement of the point-spread function of a noisy imaging system
* 2008: Optimum Gabor filter design and local binary patterns for texture segmentation
* 2012: comparison of FFT and DCT based Phase Correlation function for focused and defocused images, A
* 2012: Rational filter design for depth from defocus
* 2013: Analysis of the contour structural irregularity of skin lesions using wavelet decomposition
* 2018: Video-rate calculation of depth from defocus on a FPGA
Includes: Staunton, R.C. Staunton, R.C.[Richard C.]
14 for Staunton, R.C.

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