Index for pete

Peteinatos, G.G.[Gerassimos G.] * 2020: Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks

Petek, K.[Kursat] * 2023: SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
* 2024: Letsmap: Unsupervised Representation Learning for Label-efficient Semantic BEV Mapping
Includes: Petek, K.[Kursat] Petek, K.[Kürsat]

Petenko, I.[Igor] * 2025: Machine Learning Algorithm to Convert Geostationary Satellite LST to Air Temperature Using In Situ Measurements: A Case Study in Rome and High-Resolution Spatio-Temporal UHI Analysis, A

Peter, A. * 2010: MRI Receiver Coil Produced by Inkjet Printing Directly on to a Flexible Substrate, An
* 2022: Hybrid biometric template protection: Resolving the agony of choice between bloom filters and homomorphic encryption
Includes: Peter, A. Peter, A.[Andreas]

Peter, A.M. * 2006: Non-Negative Maximum Likelihood ICA for Blind Source Separation of Images and Signals with Application to Hyperspectral Image Subpixel Demixing
* 2008: Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching
* 2008: Shape L'Ane rouge: Sliding wavelets for indexing and retrieval
* 2009: algebraic approach to affine registration of point sets, An
* 2009: Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation
* 2011: information geometry approach to shape density Minimum Description Length model selection, An
* 2012: Shape analysis on the hypersphere of wavelet densities
* 2014: LBO-Shape Densities: Efficient 3D Shape Retrieval Using Wavelet Density Estimation
* 2016: CASAIR: Content and Shape-Aware Image Retargeting and Its Applications
* 2016: LBO-Shape densities: A unified framework for 2D and 3D shape classification on the hypersphere of wavelet densities
* 2020: Grassmannian Graph Approach to Affine Invariant Feature Matching, A
Includes: Peter, A.M. Peter, A.M.[Adrian M.]
11 for Peter, A.M.

Peter, B. * 2011: Object based image analysis to support environmental monitoring under the European Habitat Directive: A case study from DeCOVER
* 2011: Zwei-skaliger Ansatz zur Aktualisierung landwirtschaftlicher Referenzkulissen (LPIS)
Includes: Peter, B. Peter, B.[Benedikt]

Peter, B.G.[Brad G.] * 2022: Sensitivity of Remote Sensing Floodwater Depth Calculation to Boundary Filtering and Digital Elevation Model Selections

Peter, D.[David] * 2018: Boosting LiDAR-Based Semantic Labeling by Cross-modal Training Data Generation
* 2021: Resource-Efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
* 2022: Realism Metric for Generated LiDAR Point Clouds, A

Peter, G.F.[Gary F.] * 2021: Moving to Automated Tree Inventory: Comparison of UAS-Derived Lidar and Photogrammetric Data with Manual Ground Estimates

Peter, H.[Hadrian] * 2004: visualizing application of line integral convolution techniques, A
* 2006: Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions
Includes: Peter, H.[Hadrian] Peter, H.[Hansruedi]

Peter, J. * 1997: Nuclear-Medicine Image Segmentation Using a Connective Network
* 2002: Modeling the axial extension of a transmission line source within iterative reconstruction via multiple transmission sources
* 2021: Musiré: multimodal simulation and reconstruction framework for the radiological imaging sciences
* 2025: Uncertainty Estimation for Learning-Based Classification of Corrupted Images
Includes: Peter, J. Peter, J.[Jörg]

Peter, J.D.[J. Dinesh] * 2008: Robust Estimation Approach for NL-Means Filter
* 2012: wavelet based morphological mass detection and classification in mammograms, A
* 2017: SK-SVR: Sigmoid kernel support vector regression based in-scale single image super-resolution
* 2020: Deep learning strategies for foetal electrocardiogram signal synthesis
* 2020: Image fusion for stabilized medical video sequence using multimodal parametric registration
Includes: Peter, J.D.[J. Dinesh] Peter, J.D.[J Dinesh]

Peter, J.S.[Joseph St.] * 2018: Fine Resolution Probabilistic Land Cover Classification of Landscapes in the Southeastern United States
* 2018: Linking Phenological Indices from Digital Cameras in Idaho and Montana to MODIS NDVI
* 2019: Using Forest Inventory Data with Landsat 8 Imagery to Map Longleaf Pine Forest Characteristics in Georgia, USA
* 2020: Spatially Quantifying Forest Loss at Landscape-scale Following a Major Storm Event
* 2023: Spatial Application of Southern U.S. Pine Water Yield for Prioritizing Forest Management Activities
* 2025: Comparison of Single and Ensemble Regression Model Workflows for Estimating Basal Area by Tree Size Class in Pine Forests of Southeastern U.S

Peter, K.D.[Klaus Daniel] * 2012: Unmanned Aerial Vehicle (UAV) for Monitoring Soil Erosion in Morocco

Peter, L.[Loic] * 2012: Automatic Event Detection within Thrombus Formation Based on Integer Programming
* 2015: Image segmentation in Twenty Questions
* 2017: Segmentation of Skeleton and Organs in Whole-Body CT Images via Iterative Trilateration
* 2021: Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms
Includes: Peter, L.[Loic] Peter, L. Peter, L.[Loïc]

Peter, M. * 1990: Gripping Information for a Robot from Silhouettes
* 1991: Gripping Information for a Robot from Silhouettes
* 2008: Mobile Lidar Mapping for 3D Point Cloud Collection in Urban Areas: A Performance Test
* 2016: Advanced Tie Feature Matching For The Registration Of Mobile Mapping Imaging Data And Aerial Imagery
* 2016: Low-Level Tie Feature Extraction of Mobile Mapping Data (MLS/Images) and Aerial Imagery
* 2017: Lane Level Localization; Using Images and HD Maps to Mitigate The Lateral Error
* 2018: Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories
* 2018: Space Subdivision of Indoor Mobile Laser Scanning Data Based on the Scanner Trajectory
* 2019: Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System
Includes: Peter, M. Peter, M.[Michael]
9 for Peter, M.

Peter, M.S. * 2017: Accurate Estimation of Orientation Parameters of UAV Images Through Image Registration with Aerial Oblique Imagery

Peter, O.[Oliver] * 2012: Compound color recognition via image analysis on high-throughput compound libraries

Peter, P.[Pascal] * 2013: Three-Dimensional Data Compression with Anisotropic Diffusion
* 2014: Colour image compression with anisotropic diffusion
* 2014: Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
* 2015: Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression
* 2015: Compressing Images with Diffusion- and Exemplar-Based Inpainting
* 2015: From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs
* 2015: Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images
* 2016: Evaluating the true potential of diffusion-based inpainting in a compression context
* 2016: Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression
* 2017: Denoising by Inpainting
* 2017: Turning Diffusion-Based Image Colorization Into Efficient Color Compression
* 2018: Clustering-based quantisation for PDE-based image compression
* 2018: Optimising Data for Exemplar-Based Inpainting
* 2019: Compressing Audio Signals with Inpainting-Based Sparsification
* 2019: Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction
* 2019: Sparsification Scale-Spaces
* 2021: Inpainting-based Video Compression in FullHD
* 2021: Quantisation Scale-spaces
* 2021: systematic evaluation of coding strategies for sparse binary images, A
* 2021: Translating Numerical Concepts for PDEs into Neural Architectures
* 2022: Learning Sparse Masks for Diffusion-Based Image Inpainting
* 2023: Efficient Neural Generation of 4k Masks for Homogeneous Diffusion Inpainting
* 2023: Generalised Scale-space Properties for Probabilistic Diffusion Models
* 2023: Image Blending with Osmosis
Includes: Peter, P.[Pascal] Peter, P.
24 for Peter, P.

Peter, R.[Robin] * 2024: Technique to Quantify Very Low Activities in Regions of Interest With a Collimatorless Detector, A

Peter, R.I. * 2015: Exponential Contrast Restoration in Fog Conditions for Driving Assistance

Peter, S.[Sven] * 2013: K-Smallest Spanning Tree Segmentations

Peter, S.D. * 2019: Sparse Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer

Peter, T.[Tim] * 2009: Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network
* 2016: Implementation and evaluation of IPv6 to IPv4 transition mechanisms in network simulator 3
* 2020: Mapping the Catchment Area of Park and Ride Facilities within Urban Environments
Includes: Peter, T.[Tim] Peter, T. Péter, T.[Tamás]

Peter, Z. * 2008: constrained region growing approach based on watershed for the segmentation of low contrast structures in bone micro-CT images, A

Petereit, J. * 2018: Real- Time Hyperspectral Stereo Processing for the Generation of 3D Depth Information
* 2021: X3SEG: Model-Agnostic Explanations for the Semantic Segmentation of 3D Point Clouds With Prototypes and Criticism
Includes: Petereit, J. Petereit, J.[Janko]

Peterfreund, N. * 1995: Nonuniform image representation in area-of-interest systems
* 1998: Robust Tracking with Spatio-Velocity Snakes: Kalman Filtering Approach
* 1999: PDAF based Active Contour, The
* 1999: Robust Tracking of Position and Velocity With Kalman Snakes
* 1999: Velocity Snake: Deformable Contour for Tracking in Spatio-Velocity Space, The
* 2000: Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space
* 2003: Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space
* 2020: Orthogonal Directional Transforms Using Discrete Directional Laplacian Eigen Solutions for Beyond HEVC Intra Coding
Includes: Peterfreund, N. Peterfreund, N.[Natan]
8 for Peterfreund, N.

Peterhans, E.[Esther] * 1998: Simulation of Neural Contour Mechanisms: Representing Anomalous Contours

Peterhoff, R.[Ralf] * 1991: Method and apparatus for generating representations of 3-dimensional objects

Peteri, R. * 2003: Detection and extraction of road networks from high resolution satellite mages
* 2005: Dynamic Texture Recognition Using Normal Flow and Texture Regularity
* 2009: 3D discrete curvelet based method for segmenting dynamic textures, A
* 2009: Comparison of Wavelet Based Spatio-temporal Decomposition Methods for Dynamic Texture Recognition, A
* 2010: Decomposition of Dynamic Textures Using Morphological Component Analysis: A New Adaptative Strategy
* 2010: DynTex: A comprehensive database of dynamic textures
* 2011: Tracking dynamic textures using a particle filter driven by intrinsic motion information
* 2012: Decomposition of Dynamic Textures Using Morphological Component Analysis
* 2012: Denoising 3D Medical Images Using a Second Order Variational Model and Wavelet Shrinkage
* 2014: Action recognition in videos using frequency analysis of critical point trajectories
* 2015: Characterization and recognition of dynamic textures based on the 2D+T curvelet transform
* 2015: Human activity recognition in the semantic simplex of elementary actions
* 2016: efficient and sparse approach for large scale human action recognition in videos, An
* 2019: Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural Network
* 2019: Optimal Choice of Motion Estimation Methods for Fine-Grained Action Classification with 3D Convolutional Networks
* 2021: 3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks
* 2021: Extraction and analysis of 3D kinematic parameters of Table Tennis ball from a single camera
Includes: Peteri, R. Péteri, R.[Renaud] Peteri, R.[Renaud] Péteri, R.
17 for Peteri, R.

Peterka, T. * 2005: Camera Based Automatic Calibration for the Varrier-System
* 2008: Point-based Asynchronous Remote Visualization Framework For Real-time Virtual Reality, A
* 2013: Scalable Resolution Display Walls
Includes: Peterka, T. Peterka, T.[Tom]

Peterlik, I. * 2018: FiloGen: A Model-Based Generator of Synthetic 3-D Time-Lapse Sequences of Single Motile Cells With Growing and Branching Filopodia
* 2018: Non-Rigid Contour-Based Registration of Cell Nuclei in 2-D Live Cell Microscopy Images Using a Dynamic Elasticity Model
* 2019: Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy
Includes: Peterlik, I. Peterlík, I.

Peterman, V. * 2010: DLT Based, Close Range Photogrammetric Approach To Structural Deformation Measurement
* 2012: Land Survey From Unmaned Aerial Veichle
* 2015: Landslide Activity Monitoring with the Help of Unmanned Aerial Vehicle
* 2016: Assessment Of The Quality Of Digital Terrain Model Produced From Unmanned Aerial System Imagery

Petermeier, H.[Hannes] * 2019: Comparison of Continuous In-Situ CO2 Measurements with Co-Located Column-Averaged XCO2 TCCON/Satellite Observations and CarbonTracker Model Over the Zugspitze Region

Petermeijer, S.M. * 2016: Vibrotactile Displays: A Survey With a View on Highly Automated Driving
* 2019: Rolling Out the Red (and Green) Carpet: Supporting Driver Decision Making in Automation-to-Manual Transitions

Peternel, M. * 2004: Visual learning and recognition of a probabilistic spatio-temporal model of cyclic human locomotion

Peternel, T.[Tina] * 2020: Monitoring Surface Displacement of a Deep-Seated Landslide by a Low-Cost and near Real-Time GNSS System
* 2022: Recognition of Landslide Triggering Mechanisms and Dynamics Using GNSS, UAV Photogrammetry and In Situ Monitoring Data

Peternelj, K.[Karmen] * 2014: 3D Technologies for the Integrated Analysis of World Heritage: The Case of UNESCO's Škocjan Caves, Slovenia

Peternell, M.[Martin] * 2000: Geometric Properties of Bisector Surfaces
* 2002: Recognition and Reconstruction of Special Surfaces from Point Clouds

Peters Bax, L. * 2015: Automatic Detection of Tuberculosis in Chest Radiographs Using a Combination of Textural, Focal, and Shape Abnormality Analysis
Includes: Peters Bax, L. Peters-Bax, L.

Peters Lidard, C.[Christa] * 2018: Attribution of Flux Partitioning Variations between Land Surface Models over the Continental U.S.
* 2020: Impact of Surface Albedo Assimilation on Snow Estimation
Includes: Peters Lidard, C.[Christa] Peters-Lidard, C.[Christa]

Peters Lidard, C.D. * 2014: Comparison of Microwave Window Channel Retrieved and Forward-Modeled Emissivities Over the U.S. Southern Great Plains, A
* 2014: Quantifying Uncertainties in Land-Surface Microwave Emissivity Retrievals
* 2014: Real-Time MODIS Vegetation Product for Land Surface and Numerical Weather Prediction Models, A
* 2015: Semi-Empirical Model for Computing Land Surface Emissivity in the Microwave Region, A
* 2016: Calibration to Improve Forward Model Simulation of Microwave Emissivity at GPM Frequencies Over the U.S. Southern Great Plains
Includes: Peters Lidard, C.D. Peters-Lidard, C.D.

Peters, B. * 2010: Towards the Automotive HMI of the Future: Overview of the AIDE-Integrated Project Results
* 2013: Driver fatigue detection from electroencephalogram spectrum after electrooculography artefact removal
* 2021: Identification and Measurement of Individual Roots in Minirhizotron Images of Dense Root Systems
* 2023: Tracking Growth and Decay of Plant Roots in Minirhizotron Images
Includes: Peters, B. Peters, B.[Bo]

Peters, C.[Charles] * 1979: Feature selection for best mean square approximation of class densities
* 2007: Copying Behaviour of Expressive Motion
* 2024: Emotional Speech-Driven 3D Body Animation via Disentangled Latent Diffusion
Includes: Peters, C.[Charles] Peters, C.[Christopher]

Peters, C.A. * 2016: Renal Segmentation From 3D Ultrasound via Fuzzy Appearance Models and Patient-Specific Alpha Shapes

Peters, C.B.[Casey B.] * 2016: Changes in Global Grassland Productivity during 1982 to 2011 Attributable to Climatic Factors

Peters, C.S.[Casey S.] * 2015: Homotopy Equivalence in Finite Digital Images

Peters, D.[Daniel] * 2020: Challenges for In-Flight Calibration of Thermal Infrared Instruments for Earth Observation
* 2020: Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management
* 2020: Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change
* 2020: Sentinel-3A/B SLSTR Pre-Launch Calibration of the Thermal InfraRed Channels
* 2021: Traceability of the Sentinel-3 SLSTR Level-1 Infrared Radiometric Processing
Includes: Peters, D.[Daniel] Peters, D.[Dan]

Peters, D.C. * 2017: Efficient Reconstruction Algorithm Based on the Alternating Direction Method of Multipliers for Joint Estimation of R_2^* and Off-Resonance in fMRI, An

Peters, D.L.[Daniel L.] * 2021: Remote Sensing of Ecosystem Structure: Part 2: Initial Findings of Ecosystem Functioning through Intra- and Inter-Annual Comparisons with Earth Observation Data

Peters, D.M. * 2014: Prelaunch Radiometric Calibration of the HIRDLS Flight Instrument: Results and Use in On-Orbit Data Processing

Peters, E.[Ethan] * 2015: SVM with OpenCL: High performance implementation of support vector machines on heterogeneous systems
* 2025: Development of Radar and Optical Tracking of Near-Earth Asteroids at the University of Tasmania
Includes: Peters, E.[Ethan] Peters, E.[Edwin]

Peters, E.D.[Edward D.] * 2014: 4D Liver Ultrasound Registration

Peters, F.J.[Frans J.] * 1985: Algorithm for Transformations of Pictures by Quadtrees, An

Peters, G.[Gabriele] * 1999: Robust detection of significant points in multiframe images
* 1999: Two Methods for Comparing Different Views of the Same Object
* 2000: ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors
* 2001: View Reconstruction by Linear Combination of Sample Views
* 2002: How to measure the pose robustness of object views
* 2002: How to measure the pose robustness of object views
* 2003: Efficient Pose Estimation Using View-Based Object Representations
* 2004: Efficient Pose Estimation Using View-Based Object Representations
* 2005: Squaring the Circles in Panoramas
* 2006: Some refinements of rough k-means clustering
* 2006: Vision System for Interactive Object Learning, A
* 2007: Image Segmentation Based on Height Maps
* 2008: Combining Reinforcement Learning and Belief Revision: A Learning System for Active Vision
* 2009: Disclosing Patterns in IT Project Management: A Rough Set Perspective
* 2015: Is there any need for rough clustering?
Includes: Peters, G.[Gabriele] Peters, G. Peters, G.[Georg]
15 for Peters, G.

Peters, H. * 2005: Application Specific Instruction-Set Processor Template for Motion Estimation in Video Applications
* 2023: pCON: Polarimetric Coordinate Networks for Neural Scene Representations
Includes: Peters, H. Peters, H.[Henry]

Peters, J.[Jorg] * 2006: Fast Safe Spline Surrogates for Large Point Clouds
* 2008: Automatic Model-Based Segmentation of the Heart in CT Images
* 2008: On Smooth Bicubic Surfaces from Quad Meshes
* 2008: Subdivision Surfaces
* 2009: Active Structured Learning for High-Speed Object Detection
* 2009: Parallel smoothing of quad meshes
* 2010: Automatic Segmentation of Rotational X-Ray Images for Anatomic Intra-Procedural Surface Generation in Atrial Fibrillation Ablation Procedures
* 2011: Causal Inference on Discrete Data Using Additive Noise Models
* 2012: Impact of Reducing Polarimetric SAR Input on the Uncertainty of Crop Classifications Based on the Random Forests Algorithm
* 2012: Real-time detection of colored objects in multiple camera streams with off-the-shelf hardware components
* 2014: Modelling the Spatial Distribution of Culicoides imicola: Climatic versus Remote Sensing Data
* 2015: Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets
* 2017: Anticipatory action selection for human-robot table tennis
* 2020: Image Registration-based Method for EPI Distortion Correction Based on Opposite Phase Encoding (COPE), An
* 2020: Numerical Quadrature for Probabilistic Policy Search
* 2021: ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics
* 2021: Assessing Transferability From Simulation to Reality for Reinforcement Learning
* 2022: Batch Reinforcement Learning With a Nonparametric Off-Policy Policy Gradient
* 2022: Causal Framework for Distribution Generalization, A
* 2022: Continuous Action Reinforcement Learning From a Mixture of Interpretable Experts
* 2023: Adaptive Human Driver Model for Realistic Race Car Simulations, An
* 2023: Continuous-Time Fitted Value Iteration for Robust Policies
* 2023: DBCE: A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations
* 2023: Deterministic Approximation to Neural SDEs, A
* 2023: Invariant Policy Learning: A Causal Perspective
* 2023: PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison
* 2023: QBitOpt: Fast and Accurate Bitwidth Reallocation during Training
* 2024: On the Benefit of Optimal Transport for Curriculum Reinforcement Learning
* 2024: RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion
* 2024: Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics
* 2025: Facilitate and Scale Up the Creation of 3D Meshes, 6D Category-Based Datasets and Grasping with Generative Models: GenVegeFruits3D
* 2025: Semi-Automated, Hybrid GIS-AI Approach to Seabed Boulder Detection Using High Resolution Multibeam Echosounder, A
Includes: Peters, J.[Jorg] Peters, J. Peters, J.[Jörg] Peters, J.[Jan] Peters, J.[Jonas] Peters, J.[Judith] Peters, J.[Joshua] Peters, J.[Jorn] Peters, J.[Jared]
32 for Peters, J.

Peters, J.F. * 2010: Computer-Aided Detection of Polyps in CT Colonography Using Logistic Regression
* 2010: Rough Fuzzy Image Analysis: Foundations and Methodologies
* 2013: Soil Moisture and Thermal Behavior in the Vicinity of Buried Objects Affecting Remote Sensing Detection: Experimental and Modeling Investigation
* 2014: Topology of Digital Images: Visual Pattern Discovery in Proximity Spaces
* 2015: Multi-manifold LLE learning in pattern recognition
* 2016: Multi-manifold-based skin classifier on feature space Voronoï regions for skin segmentation
* 2017: Voronoï region-based adaptive unsupervised color image segmentation
Includes: Peters, J.F. Peters, J.F.[James F.]
7 for Peters, J.F.

Peters, J.M. * 2014: Mathematical Framework for the Registration and Analysis of Multi-Fascicle Models for Population Studies of the Brain Microstructure, A
* 2017: Dynamic Electrical Source Imaging (DESI) of Seizures and Interictal Epileptic Discharges Without Ensemble Averaging

Peters, J.P. * 2004: Embedded reading device for blind people: a user-centered design
* 2013: Vision systems and the lives of people with disabilities

Peters, L.[Liliane] * 1997: Fuzzy Feature Description of Handwriting Patterns
* 1998: Compact Sensor for Visual Motion Detection, A
* 2000: Fuzzy handwriting description language: FOHDEL
* 2000: On the use of motion as a primitive quantity for autonomous vehicle guidance
* 2001: Streaming Technology in 3G Mobile Communication Systems
Includes: Peters, L.[Liliane] Peters, L.

Peters, L.E.R.[Laura E. R.] * 2021: Development after Displacement: Evaluating the Utility of OpenStreetMap Data for Monitoring Sustainable Development Goal Progress in Refugee Settlements

Peters, M.[Megan] * 2014: Volumetric reconstruction applied to perceptual studies of size and weight
* 2017: Radiometric Uncertainty Tool for the Sentinel 2 Mission, A
* 2020: Mapping Forest Composition with Landsat Time Series: An Evaluation of Seasonal Composites and Harmonic Regression
Includes: Peters, M.[Megan] Peters, M.[Marco] Peters, M.[Matthew]

Peters, M.A.[Marc A.] * 2008: Multimedia content analysis for consumer electronics

Peters, M.K.[Marcell K.] * 2022: Potential of Airborne LiDAR Derived Vegetation Structure for the Prediction of Animal Species Richness at Mount Kilimanjaro

Peters, M.W. * 1998: Integrated Techniques for Self-organisation, Sampling, Habituation, and Motion-tracking in Visual Robotics Applications
* 1998: Real-Time Variable Sampling Technique: DIEM, A
Includes: Peters, M.W. Peters, M.W.[Mark W.]

Peters, N.[Nonja] * 2018: Migration Experiences: Acknowledging the Past, and Sustaining the Present and Future
* 2024: Denoising Diffusion Probabilistic Model for Metal Artifact Reduction in CT, A
Includes: Peters, N.[Nonja] Peters, N.[Nils]

Peters, N.S. * 2013: Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images, A

Peters, O. * 2010: Terahertz imaging: applications and perspectives

Peters, R.[Robin] * 2018: Graph-Based Matching of Points-of-Interest from Collaborative Geo-Datasets
* 2020: Generating, Storing, Updating and Disseminating A Countrywide 3d Model
* 2021: Quality Assessment of a Nationwide Data Set Containing Automatically Reconstructed 3d Building Models
* 2022: City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds
* 2024: NOISe: Nuclei-Aware Osteoclast Instance Segmentation for Mouse-to-Human Domain Transfer
Includes: Peters, R.[Robin] Peters, R. Peters, R.[Ravi] Peters, R.[Rebecca]

Peters, R.A. * 1995: new algorithm for image noise reduction using mathematical morphology, A
* 1995: Visual Servoing in ISAC, a Decentralized Robot System for Feeding the Disabled
* 1996: Morphological Pseudo Bandpass Image Decompositions
* 1997: Rocket Plume Image Sequence Enhancement Using 3D Operators
* 2002: Topological median filters
Includes: Peters, R.A. Peters, II, R.A.

Peters, R.D.[Reisha D.] * 2020: Sensitivity and Correlation Analysis of PROSPECT-D and ABM-B Leaf Models

Peters, R.J.[Rob J.] * 2002: New Robotics Platform for Neuromorphic Vision: Beobots, A
* 2007: Beyond bottom-up: Incorporating task-dependent influences into a computational model of spatial attention
Includes: Peters, R.J.[Rob J.] Peters, R.J.[Robert J.]

Peters, R.T.[R. Troy] * 2021: High-Resolution Spatiotemporal Water Use Mapping of Surface and Direct-Root-Zone Drip-Irrigated Grapevines Using UAS-Based Thermal and Multispectral Remote Sensing
* 2022: Assessing Suitability of Auto-Selection of Hot and Cold Anchor Pixels of the UAS-METRIC Model for Developing Crop Water Use Maps

Peters, R.Y.[Ravi Y.] * 2020: Building outline extraction from ALS point clouds using medial axis transform descriptors
* 2021: Satellite-derived Bathymetry Using Convolutional Neural Networks And Multispectral Sentinel-2 Images
Includes: Peters, R.Y.[Ravi Y.] Peters, R.Y.

Peters, S. * 2002: virtual boutique: a synergic approach to virtualization,content-base management of 3D information, 3D data mining an virtual reality for ecommerce, The
* 2007: Team MIT Urban Challenge Technical Report
* 2009: Visual Bandwidth Selection for Kernel Density Maps
* 2013: Visual Analysis for Nowcasting of Multidimensional Lightning Data
* 2015: Geoinformation postgraduate education at Universiti Teknologi Malaysia: towards a centre of high quality postgraduate education and research
* 2016: Conversational In-Vehicle Dialog Systems: The past, present, and future
* 2018: Towards a Graph-Based Approach for Mesh Healing for Blocky Objects with Self-Similarities
* 2019: Determining Morphometric Properties of Radiata Pine Using Long Wave Infrared Sensing and Biologically-inspired Vision
* 2019: Intelligent Systems for Geosciences: An Essential Research Agenda
* 2022: Investigating the Impact of Using IR Bands on Early Fire Smoke Detection from Landsat Imagery with a Lightweight CNN Model
* 2022: Unsupervised spectral-spatial processing of drone imagery for identification of pine seedlings
* 2023: Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception
* 2023: Automated Georectification, Mosaicking and 3D Point Cloud Generation Using UAV-Based Hyperspectral Imagery Observed by Line Scanner Imaging Sensors
* 2024: Acceptance and Trust: Drivers' First Contact With Released Automated Vehicles in Naturalistic Traffic
* 2024: Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery
* 2024: Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Includes: Peters, S. Peters, S.[Steven] Peters, S.[Stefan] Peters, S.[Shanan] Peters, S.[Scott]
16 for Peters, S.

Peters, S.C.[Stephen C.] * 2023: Mapping Fractional Vegetation Coverage across Wetland Classes of Sub-Arctic Peatlands Using Combined Partial Least Squares Regression and Multiple Endmember Spectral Unmixing

Peters, S.T. * 2018: In Situ Demonstration of a Passive Radio Sounding Approach Using the Sun for Echo Detection
* 2021: Passive Synthetic Aperture Radar Imaging Using Radio-Astronomical Sources
Includes: Peters, S.T. Peters, S.T.[Sean T.]

Peters, S.W.M.[Steef W. M.] * 2017: Optical Classification Tool for Global Lake Waters, An

Peters, T. * 1996: Optimal display conditions for quantitative analysis of stereoscopic cerebral angiograms
* 1996: Three-dimensional multimodal image-guidance for neurosurgery
* 2006: 3D Face Recognition Using 3D Alignment for PCA
* 2009: 3D Signatures for Fast 3D Face Recognition
* 2014: Automatic surface classification for retrieving areas which are highly endangered by extreme rain
* 2014: Regional Assessment of Cardiac Left Ventricular Myocardial Function via MRI Statistical Features
* 2015: Vertebroplasty Performance on Simulator for 19 Surgeons Using Hierarchical Task Analysis
* 2020: Improving Deep Learning Based Semantic Segmentation with Multi View Outlier Correction
* 2020: Learning the 3d Pose of Vehicles From 2d Vehicle Patches
* 2023: BiasBed: Rigorous Texture Bias Evaluation
* 2023: Review of panoptic segmentation for mobile mapping point clouds, A
* 2023: Semantic segmentation of mobile mapping point clouds via multi-view label transfer
* 2024: Tetradiffusion: Tetrahedral Diffusion Models for 3d Shape Generation
* 2025: Video Depth without Video Models
Includes: Peters, T. Peters, T.[Tanya] Peters, T.[Torben]
14 for Peters, T.

Peters, T.M. * 2000: inverse problem approach to the correction of distortion in EPI images, An
* 2002: Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: creating stereoscopic panoramas
* 2003: integrated range-sensing, segmentation and registration framework for the characterization of intra-surgical brain deformations in image-guided surgery, An
* 2003: Three-dimensional database of subcortical electrophysiology for image-guided stereotactic functional neurosurgery
* 2005: Real-Time Fusion of Endoscopic Views With Dynamic 3-D Cardiac Images: A Phantom Study
* 2008: Dynamic 3-D Virtual Fixtures for Minimally Invasive Beating Heart Procedures
* 2008: Statistical Model for Point-Based Target Registration Error With Anisotropic Fiducial Localizer Error, A
* 2009: Dynamic 2D Ultrasound and 3D CT Image Registration of the Beating Heart
* 2009: High-quality cardiac image dynamic visualization with feature enhancement and virtual surgical tool inclusion
* 2009: Mapping of Cardiac Electrophysiology Onto a Dynamic Patient-Specific Heart Model
* 2009: Rapid Dynamic Image Registration of the Beating Heart for Diagnosis and Surgical Navigation
* 2009: Real-Time Estimation of FLE Statistics for 3-D Tracking With Point-Based Registration
* 2010: Target Tracking Errors for 5D and 6D Spatial Measurement Systems
* 2011: Rapid scalar value classification and volume clipping for interactive 3D medical image visualization
* 2013: Intra-Operative 2-D Ultrasound and Dynamic 3-D Aortic Model Registration for Magnetic Navigation of Transcatheter Aortic Valve Implantation
* 2014: Electromagnetic Tracking in Medicine: A Review of Technology, Validation, and Applications
* 2014: Interactive Hierarchical-Flow Segmentation of Scar Tissue From Late-Enhancement Cardiac MR Images
* 2015: Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy
* 2015: Ultrasound Guidance for Beating Heart Mitral Valve Repair Augmented by Synthetic Dynamic CT
* 2015: Variational Time-Implicit Multiphase Level-Sets
* 2016: Fast Deformable Image Registration with Non-smooth Dual Optimization
* 2017: Directed Acyclic Graph Continuous Max-Flow Image Segmentation for Unconstrained Label Orderings
* 2017: Vision-Based Surgical Field Defogging
* 2018: Cyclic Continuous Max-Flow: A Third Paradigm in Generating Local Phase Shift Maps in MRI
* 2019: Endoscopic Vision Augmentation Using Multiscale Bilateral-Weighted Retinex for Robotic Surgery
* 2019: Interactive-Automatic Segmentation and Modelling of the Mitral Valve
* 2019: Robust, Intrinsic Tracking of a Laparoscopic Ultrasound Probe for Ultrasound-Augmented Laparoscopy
* 2022: 3D US-Based Evaluation and Optimization of Tumor Coverage for US-Guided Percutaneous Liver Thermal Ablation
* 2022: Robust Edge-Preserving Stereo Matching Method for Laparoscopic Images, A
* 2025: In Vivo Laparoscopic Image De-Smoking Dataset, Evaluation, and Beyond
Includes: Peters, T.M. Peters, T.M.[Terry M.]
30 for Peters, T.M.

Peters, W.H. * 1983: Determination of Displacements Using an Improved Digital Correlation Method
* 1986: Application of an Optimized Digital Correlation Method to Planar Deformation Analysis
* 1986: Improved Digital Image Processing Techniques to Investigate Plastic Zone Formation in Steel

Petersen, A. * 2006: Mobile Augmented Reality System with Distributed Tracking, A
* 2010: Statistical Analysis of Kalman Filters by Conversion to Gauss-Helmert Models with Applications to Process Noise Estimation
* 2018: Simulation of Plenoptic Cameras
* 2019: Creating Realistic Ground Truth Data for the Evaluation of Calibration Methods for Plenoptic and Conventional Cameras
Includes: Petersen, A. Petersen, A.[Arne]

Petersen, E.[Eike] * 2024: Fast Diffusion-based Counterfactuals for Shortcut Removal and Generation

Petersen, F.[Felix] * 2022: GenDR: A Generalized Differentiable Renderer
* 2022: Style Agnostic 3D Reconstruction via Adversarial Style Transfer
* 2024: Grounding Everything: Emerging Localization Properties in Vision-Language Transformers

Petersen, G.N.[Guirun Nina] * 2021: Using Machine Learning Methods to Identify Particle Types from Doppler Lidar Measurements in Iceland
Includes: Petersen, G.N.[Guirun Nina] Petersen, G.N.[Guðrún Nína]

Petersen, H.[Henry] * 2009: Reworking Bridging for Use within the Image Domain

Petersen, H.G.[Henrik Gordon] * 2012: Simultaneous Estimation of Material Properties and Pose for Deformable Objects from Depth and Color Images
* 2014: In Search of Inliers: 3D Correspondence by Local and Global Voting

Petersen, I.R. * 2012: High performance control of atomic force microscope for high-speed image scanning
* 2012: Internal reference model based optimal LQG controller for atomic force microscope

Petersen, J. * 1995: Machine Vision for Error-Detection and Avoidance in Laboratory Robotics
* 2012: Carotid Artery Wall Segmentation by Coupled Surface Graph Cuts
* 2015: Geodesic Atlas-Based Labeling of Anatomical Trees: Application and Evaluation on Airways Extracted From CT
* 2016: Carotid Artery Wall Segmentation in Multispectral MRI by Coupled Optimal Surface Graph Cuts
* 2019: Increasing Accuracy of Optimal Surfaces Using Min-Marginal Energies
* 2022: MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images
* 2023: neural video codec with spatial rate-distortion control, A
* 2024: Clockwork Diffusion: Efficient Generation With Model-Step Distillation
* 2025: Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect Analysis
Includes: Petersen, J. Petersen, J.[Jens]
9 for Petersen, J.

Petersen, J.A.[Jennie A.] * 2024: Mixed Methods Evaluation of Wearable Technology: Findings from the Vivo Play Scientist (VPS) Program, A

Petersen, J.S.[Jess S.] * 2007: Face Detection Using Multiple Cues

Petersen, J.T.[Jacob Thejll] * 2021: High-Speed, Light-Weight Scalar Magnetometer Bird for km Scale UAV Magnetic Surveying: On Sensor Choice, Bird Design, and Quality of Output Data, A

Petersen, K.[Kersten] * 2008: Fast Generalized Belief Propagation for MAP Estimation on 2D and 3D Grid-Like Markov Random Fields
* 2010: Conditional Point Distribution Models
* 2010: Static SMC Sampler on Shapes for the Automated Segmentation of Aortic Calcifications, A
* 2011: Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach
* 2012: Bayesian Framework for Automated Cardiovascular Risk Scoring on Standard Lumbar Radiographs, A
* 2013: unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models, A
* 2016: Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring
* 2019: TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors
* 2024: Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control, A
* 2025: Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path Optimization
Includes: Petersen, K.[Kersten] Petersen, K.
10 for Petersen, K.

Petersen, K.D.[Kevin D.] * 2001: Houghing the Hough: Peak Collection for Detection of Corners, Junctions and Line Intersections

Petersen, L.K.[Lillian Kay] * 2018: Real-Time Prediction of Crop Yields From MODIS Relative Vegetation Health: A Continent-Wide Analysis of Africa

Petersen, M. * 2004: Detecting rare events in video using semantic primitives with HMM

Petersen, M.B.[Martin Bæk] * 2017: Automatic Segmentation of Abdominal Fat in MRI-Scans, Using Graph-Cuts and Image Derived Energies

Petersen, M.K.[Michael Kai] * 2011: Emotional nodes among lines of lyrics

Petersen, N.[Nils] * 2009: Fast Hand Detection Using Posture Invariant Constraints
* 2020: It's Not Just Black and White: Classifying Defendant Mugshots Based on the Multidimensionality of Race and Ethnicity
Includes: Petersen, N.[Nils] Petersen, N.

Petersen, P. * 2009: On the set of images modulo viewpoint and contrast changes

Petersen, P.C.[Philipp C.] * 2019: Extraction of Digital Wavefront Sets Using Applied Harmonic Analysis and Deep Neural Networks

Petersen, P.M.[Paul Michael] * 2016: Does correlated color temperature affect the ability of humans to identify veins?

Petersen, R.S. * 1995: PRAM Nets for Detection of Small Targets in Sequences of Infrared Images

Petersen, S. * 2018: Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Petersen, S.E.[Steffen E.] * 2019: End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study
* 2021: Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M &Ms Challenge

Petersen, S.L.[Steven L.] * 2022: Monitoring Seedling Emergence, Growth, and Survival Using Repeat High-Resolution Imagery

Petersen, T.[Thomas] * 2009: Comparison of Iterative 2D-3D Pose Estimation Methods for Real-Time Applications, A
* 2017: Large Families of Grey Arrays with Perfect Auto-correlation and Optimal Cross-Correlation
* 2019: Large Families of Grey Arrays with Perfect Auto-correlation and Optimal Cross-Correlation
Includes: Petersen, T.[Thomas] Petersen, T.[Timothy]

Petersen, W.A.[Walter A.] * 2021: Precipitation Imaging Package: Phase Partitioning Capabilities, The
* 2021: Validation of Satellite-Based Precipitation Products from TRMM to GPM

Petersohn, C.[Christian] * 2009: Temporal video structuring for preservation and annotation of video content

Petersohn, U.[Uwe] * 2014: Wavelet Subspace Analysis of Intraoperative Thermal Imaging for Motion Filtering

Peterson, A. * 2025: Nanoparticle Diameter Measurements with Event Camera Tracking

Peterson, A.A.[Abree A.] * 2025: Time Series Analysis of Vegetation Recovery After the Taum Sauk Dam Failure

Peterson, B. * 1994: Recognizing plants using stochastic L-systems
* 2014: Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR
* 2020: Assessment of Fire Fuel Load Dynamics in Shrubland Ecosystems in the Western United States Using MODIS Products
* 2020: Potential Underestimation of Satellite Fire Radiative Power Retrievals over Gas Flares and Wildland Fires
Includes: Peterson, B. Peterson, B.[Birgit]

Peterson, B.G. * 2008: Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images, A

Peterson, B.S.[Bradley S.] * 2000: Shape-based 3D Surface Correspondence using Geodesics and Local Geometry
* 2003: 3D Brain surface matching based on geodesics and local geometry
* 2007: Statistical Analyses of Brain Surfaces Using Gaussian Random Fields on 2-D Manifolds
* 2007: Statistical Analysis of Brain Morphology Using Wild Bootstrapping, A
* 2008: Seamless Warping of Diffusion Tensor Fields
* 2008: Using Perturbation Theory to Compute the Morphological Similarity of Diffusion Tensors
* 2012: On the generation and pruning of skeletons using generalized Voronoi diagrams
* 2012: Spatial Normalization of Diffusion Tensor Images with Voxel-Wise Reconstruction of the Diffusion Gradient Direction
Includes: Peterson, B.S.[Bradley S.] Peterson, B.S.
8 for Peterson, B.S.

Peterson, C. * 1974: Automated Visual Inspection
* 1991: Deformable Templates, Robust Statistics, and Hough Transforms
* 2007: Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces
* 2009: Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE
* 2014: Finding the Subspace Mean or Median to Fit Your Need
* 2016: Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies
* 2019: Motion Segmentation via Generalized Curvatures
* 2020: Simple Camera-to-2d-lidar Calibration Method for General Use
* 2021: Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets, The
* 2022: Flag Median and FlagIRLS, The
* 2023: Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection
Includes: Peterson, C. Peterson, C.[Carsten] Peterson, C.[Chris] Peterson, C.[Christopher]
11 for Peterson, C.

Peterson, E.[Ellengene] * 2005: novel machine vision application for analysis and visualization of confocal microscopic images, A

Peterson, G.L. * 2014: Machine learning nuclear detonation features
* 2014: Timing mark detection on nuclear detonation video
* 2016: Feature detection and matching on atmospheric nuclear detonation video

Peterson, H. * 1997: Subjective evaluation of MPEG-4 video codec proposals: Methodological approach and test procedures

Peterson, H.A. * 1997: Rate-Quantization Model for MPEG Encoders, A
* 2000: Adaptive Model-Driven Bit Allocation for MPEG Video Coding

Peterson, J.[Jim] * 2007: LiDAR-Derived High Quality Ground Control Information and DEM for Image Orthorectification
* 2009: Renal tumor quantification and classification in contrast-enhanced abdominal CT
* 2015: Compressive Hyperspectral Imaging for Stellar Spectroscopy
* 2015: What Makes an Object Memorable?
* 2017: Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
* 2019: Human Uncertainty Makes Classification More Robust
* 2019: UAV/satellite Multiscale Data Fusion for Crop Monitoring and Early Stress Detection
Includes: Peterson, J.[Jim] Peterson, J.[James] Peterson, J. Peterson, J.[Joshua]
7 for Peterson, J.

Peterson, K. * 2004: High Speed Navigation of Unrehearsed Terrain: Red Team Technology for Grand Challenge 2004
* 2015: Orbital SLAM
* 2017: Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine
Includes: Peterson, K. Peterson, K.[Kevin] Peterson, K.[Kyle]

Peterson, K.D. * 2012: Combining multiple visual processing streams for locating and classifying objects in video

Peterson, K.T.[Kyle T.] * 2018: Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine
* 2019: UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras
* 2019: UAV/satellite Multiscale Data Fusion for Crop Monitoring and Early Stress Detection
* 2019: Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean biomass estimation from Unmanned Aerial System-based RGB imagery
Includes: Peterson, K.T.[Kyle T.] Peterson, K.T.

Peterson, L. * 1997: Applied Partial Differential Variational Techniques
* 2017: Detection and Localization of Image Forgeries Using Resampling Features and Deep Learning

Peterson, L.M. * 1996: Laser Radar in Robotics

Peterson, M.[Michael] * 2011: Evolving improved transforms for reconstruction of quantized ultrasound images
* 2015: Analyzing the Correlation between Deer Habitat and the Component of the Risk for Lyme Disease in Eastern Ontario, Canada: A GIS-Based Approach
* 2016: feasibility study of an autoencoder meta-model for improving generalization capabilities on training sets of small sizes, A
Includes: Peterson, M.[Michael] Peterson, M.[Mary] Peterson, M.[Maxim]

Peterson, M.F.[Matthew F.] * 2010: Ideal observer analysis for task normalization of pattern classifier performance applied to EEG and fMRI data
* 2020: Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler

Peterson, M.R.[Mallory R.] * 2025: CLIF-Net: Intersection-Guided Cross-View Fusion Network for Infection Detection From Cranial Ultrasound

Peterson, P.[Perry] * 2015: Categorization and Conversions for Indexing Methods of Discrete Global Grid Systems
* 2020: Identifying Precipitation and Reference Evapotranspiration Trends in West Africa to Support Drought Insurance
Includes: Peterson, P.[Perry] Peterson, P.[Pete]

Peterson, P.G.[Paul G.] * 2024: Remote Sensing Guides Management Strategy for Invasive Legumes on the Central Plateau, New Zealand

Peterson, R.[Robert] * 2020: Detection of Defoliation Injury in Peanut with Hyperspectral Proximal Remote Sensing

Peterson, R.K.D.[Robert K. D.] * 2024: Multitemporal Hyperspectral Characterization of Wheat Infested by Wheat Stem Sawfly, Cephus cinctus Norton
* 2025: Mapping Wheat Stem Sawfly (Cephus cinctus Norton) Infestations in Spring and Winter Wheat Fields via Multiway Modelling of Multitemporal Sentinel 2 Images

Peterson, S.[Seth] * 2000: Comparison of High Spatial Resolution Imagery for Efficient Generation of GIS Vegetation Layers

Peterson, S.H.[Seth H.] * 2019: Monitoring Post-Fire Recovery of Chaparral and Conifer Species Using Field Surveys and Landsat Time Series

Peterson, T.E.[Todd E.] * 2006: Automatic Inter-subject Registration of Whole Body Images
* 2014: Reducing Multiplexing Artifacts in Multi-Pinhole SPECT With a Stacked Silicon-Germanium System: A Simulation Study
Includes: Peterson, T.E.[Todd E.] Peterson, T.E.

Peterson, V.L.[Vernon L.] * 1981: Apparatus and method of personal identification by fingerprint comparison

Petersson, B.S.[Bastian Starup] * 2023: ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios

Petersson, C.[Christoffer] * 2022: Object Detection as Probabilistic Set Prediction
* 2023: Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds
* 2023: You can have your ensemble and run it too: Deep Ensembles Spread Over Time
* 2023: Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
* 2024: Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gap
* 2024: HEAL-SWIN: A Vision Transformer on the Sphere
* 2024: LidarCLIP or: How I Learned to Talk to Point Clouds
* 2024: NeuRAD: Neural Rendering for Autonomous Driving
* 2024: Neuroncap: Photorealistic Closed-loop Safety Testing for Autonomous Driving
* 2025: SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving
10 for Petersson, C.

Petersson, H.[Henrik] * 2013: Activity recognition and localization on a truck parking lot
* 2014: Multi-sensory surveillance for moving vehicles
* 2016: Hyperspectral image analysis using deep learning: A review
* 2017: Motion compensation of submillimeter wave 3D imaging radar data for security screening
* 2018: Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data
Includes: Petersson, H.[Henrik] Petersson, H. Petersson, H.[Hans]

Petersson, J.S. * 1999: Multidimensional k-space model for analysis of flow-related phenomena in MR imaging

Petersson, L. * 2008: Statistical Threat Assessment for General Road Scenes Using Monte Carlo Sampling
* 2009: Fast features for time constrained object detection
* 2014: Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics
* 2014: Non-associative Higher-Order Markov Networks for Point Cloud Classification
* 2015: Adaptive Data Representation for Robust Point-Set Registration and Merging, An
* 2015: Cutting Edge: Soft Correspondences in Multimodal Scene Parsing
* 2015: Multi-modal Graphical Model for Scene Analysis, A
* 2016: 2D-3D semantic segmentation using cardinality as higher-order loss
* 2016: Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
* 2016: GOGMA: Globally-Optimal Gaussian Mixture Alignment
* 2016: Latent structural SVM with marginal probabilities for weakly labeled structured learning
* 2016: Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
* 2017: Bringing Background into the Foreground: Making All Classes Equal in Weakly-Supervised Video Semantic Segmentation
* 2017: DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling
* 2017: Encouraging LSTMs to Anticipate Actions Very Early
* 2017: Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence
* 2018: Effective Use of Synthetic Data for Urban Scene Semantic Segmentation
* 2018: Improving Object Localization with Fitness NMS and Bounded IoU Loss
* 2018: Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation
* 2018: VIENA2: A Driving Anticipation Dataset
* 2019: 3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds
* 2019: Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation, The
* 2019: Bilinear Attention Networks for Person Retrieval
* 2019: CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
* 2019: Zero-shot Learning of 3D Point Cloud Objects
* 2020: Channel Recurrent Attention Networks for Video Pedestrian Retrieval
* 2020: Cross-Correlated Attention Networks for Person Re-Identification
* 2020: Globally-Optimal Inlier Set Maximisation for Camera Pose and Correspondence Estimation
* 2020: Learning from Noisy Labels via Discrepant Collaborative Training
* 2020: Mosaic Super-resolution via Sequential Feature Pyramid Networks
* 2020: Stochastic Conditioning Scheme for Diverse Human Motion Prediction, A
* 2020: Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network
* 2020: Transductive Zero-Shot Learning for 3D Point Cloud Classification
* 2020: Transferring Cross-Domain Knowledge for Video Sign Language Recognition
* 2021: Contextually Plausible and Diverse 3D Human Motion Prediction
* 2021: Discrepant collaborative training by Sinkhorn divergences
* 2021: Dual Contrastive Learning for Unsupervised Image-to-Image Translation
* 2021: Kernel Methods in Hyperbolic Spaces
* 2021: Reinforced Attention for Few-Shot Learning and Beyond
* 2021: Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
* 2021: Set Augmented Triplet Loss for Video Person Re-Identification
* 2021: Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces
* 2022: Attention in Attention Networks for Person Retrieval
* 2022: Biomass Prediction with 3D Point Clouds from LiDAR
* 2022: Blind Image Decomposition
* 2022: Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning
* 2022: Hyperspectral and Rgb Dataset for Building Façade Segmentation, A
* 2022: Pyramidal Attention for Saliency Detection
* 2022: Towards a Robust Differentiable Architecture Search under Label Noise
* 2022: Towards Open-Set Object Detection and Discovery
* 2022: Underwater Image Restoration via Contrastive Learning and a Real-World Dataset
* 2022: Zero-Shot Learning on 3D Point Cloud Objects and Beyond
* 2023: Continuous Human Action Recognition for Human-Machine Interaction: A Review
* 2023: Diff3DHPE: A Diffusion Model for 3D Human Pose Estimation
* 2023: Hyperbolic Audio-visual Zero-shot Learning
* 2023: Poincaré Kernels for Hyperbolic Representations
* 2023: Weakly-supervised Point Cloud Instance Segmentation with Geometric Priors
* 2024: Backpropagation-free Network for 3D Test-time Adaptation
* 2024: Canonical Shape Projection Is All You Need for 3d Few-shot Class Incremental Learning
* 2024: Continual Test-time Domain Adaptation via Dynamic Sample Selection
* 2024: Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach
* 2024: Orientation-conditioned Facial Texture Mapping for Video-based Facial Remote Photoplethysmography Estimation
* 2025: BioNet and NeFF: Crop Biomass Prediction from Point Clouds to Drone Imagery
* 2025: Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation
* 2025: GS-2DGS: Geometrically Supervised 2DGS for Reflective Object Reconstruction
* 2025: Open Set Label Shift with Test Time Out-of-Distribution Reference
Includes: Petersson, L. Petersson, L.[Lars]
66 for Petersson, L.

Petersson, S. * 2017: Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging

Peterziel, H.[Heike] * 2022: Patient-by-Patient Deep Transfer Learning for Drug-Response Profiling Using Confocal Fluorescence Microscopy of Pediatric Patient-Derived Tumor-Cell Spheroids

Petetin, Y. * 2018: Semi-Independent Resampling for Particle Filtering
* 2021: Structured Variational Bayesian Inference for Gaussian State-Space Models With Regime Switching
Includes: Petetin, Y. Petetin, Y.[Yohan]

Petetta, A.[Andrea] * 2023: Development of a Low-Cost Hydrophone for Passive Acoustic Monitoring of Dolphin's Vocalizations, The

Petetta, L. * 2017: Seaplane Base Ivo Monti At S. Nicola Varano (FG): A Monument Of Military Archeology, Between History And Protection, The
* 2019: Modelling in Hbim to Document Materials Decay By a Thematic Mapping To Manage The Cultural Heritage: The Case of Chiesa Della PietÀ in Fermo

Index for "p"