Pattabhi Rama Rao, E.
* 2012: Coastal Ocean Observing Network: Open Source Architecture for Data Management and Web-based Data Services
Pattacini, U.[Ugo]
* 2014: Filter Forests for Learning Data-Dependent Convolutional Kernels
Pattanaik, S.[Sumanta]
* 2013: Visibility-driven progressive volume photon tracing
* 2020: Referenced Based Color Transfer for Medical Volume Rendering
Pattanaik, S.N.[Sumanta N.]
* 2005: Highdynamic-range still-image encoding in JPEG 2000
* 2014: Macro 64-regions for uniform grids on GPU
Pattanaik, V.[Vishwajeet]
* 2023: DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
* 2024: Learning Low-Rank Latent Spaces with Simple Deterministic Autoencoder: Theoretical and Empirical Insights
Pattanathaburt, P.
* 2013: Machine vision techniques for motorcycle safety helmet detection
Pattanaworapan, K.[Kanjana]
* 2016: Signer-independence finger alphabet recognition using discrete wavelet transform and area level run lengths
Pattanayak, B.[Biswaranjan]
* 2021: Pitch-robust acoustic feature using single frequency filtering for children's KWS
Pattar, S.P.[Suraj Prakash]
* 2022: Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data
Pattathal, V.A.[V. Arun]
* 2022: Deep-learning-based latent space encoding for spectral unmixing of geological materials
Patten, F.W.[Florence W.]
* 2009: Automated cell analysis in 2D and 3D: A comparative study
Patten, T.[Timothy]
* 2019: Leveraging Symmetries to Improve Object Detection and Pose Estimation from Range Data
* 2019: Monte Carlo Tree Search on Directed Acyclic Graphs for Object Pose Verification
* 2019: Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation
* 2019: SyDPose: Object Detection and Pose Estimation in Cluttered Real-World Depth Images Trained using Only Synthetic Data
* 2020: Neural Object Learning for 6d Pose Estimation Using a Few Cluttered Images
* 2021: Learning Image-Based Contaminant Detection in Wool Fleece from Noisy Annotations
* 2021: ReAgent: Point Cloud Registration using Imitation and Reinforcement Learning
* 2022: GigaDepth: Learning Depth from Structured Light with Branching Neural Networks
* 2022: SporeAgent: Reinforced Scene-level Plausibility for Object Pose Refinement
* 2023: COPE: End-to-end trainable Constant Runtime Object Pose Estimation
Includes: Patten, T.[Timothy] Patten, T.
10 for Patten, T.
Patterson, A.[Andrew]
* 2023: Robust Losses for Learning Value Functions
Patterson, A.I.
* 2005: Digitizing archaeological excavations from multiple views
* 2006: Fully Automatic Registration of 3D Point Clouds
* 2008: Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
Includes: Patterson, A.I. Patterson, A.I.[Alexander I.]
Patterson, A.J.[Andrew J.]
* 2019: Automatic segmentation of MR depicted carotid arterial boundary based on local priors and constrained global optimisation
Patterson, C.
* 2015: Development of the Brican TD100 Small UAS and Payload Trials
Patterson, D.[David]
* 2000: Art of Massive Storage: A Web Image Archive, The
* 2007: Non-strict heterogeneous Stacking
* 2007: weighted combination of stacking and dynamic integration, A
* 2010: Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces
* 2013: Efficiently Scaling up Crowdsourced Video Annotation
Includes: Patterson, D.[David] Patterson, D.[Donald]
Patterson, E.
* 2007: Aspects of Age Variation in Facial Morphology Affecting Biometrics
* 2009: Improvements and Performance Evaluation Concerning Synthetic Age Progression and Face Recognition Affected by Adult Aging
* 2009: Improvements in Active Appearance Model based synthetic age progression for adult aging
* 2010: comparative study of active appearance model annotation schemes for the face, A
* 2010: hierarchical approach to facial aging, A
* 2011: Individual identification based on facial dynamics during expressions using active-appearance-based Hidden Markov Models
* 2018: Landmark-Based Re-topology of Stereo-Pair Acquired Face Meshes
* 2019: Automatic Face Aging in Videos via Deep Reinforcement Learning
Includes: Patterson, E. Patterson, E.[Eric]
8 for Patterson, E.
Patterson, E.K.[Eric K.]
* 2001: Affine-Invariant Visual Features Contain Supplementary Information to Enhance Speech Recognition
* 2002: Moving-Talker, Speaker-Independent Feature Study, and Baseline Results Using the CUAVE Multimodal Speech Corpus
Patterson, F.
* 2020: Visual Analysis of Place Connectedness by Public Transport
Patterson, G.[Genevieve]
* 2012: SUN attribute database: Discovering, annotating, and recognizing scene attributes
* 2014: SUN Attribute Database: Beyond Categories for Deeper Scene Understanding, The
* 2016: COCO Attributes: Attributes for People, Animals, and Objects
* 2018: Can we trust computer with body-cam video? Police departments are being led to believe AI will help, but they should be wary
* 2020: Delineation of Crop Field Areas and Boundaries from UAS Imagery Using PBIA and GEOBIA with Random Forest Classification
* 2020: Detecting and Counting Orchard Trees on Unmanned Aerial Vehicle (uav)-based Images Using Entropy and Ndvi Features
* 2021: Mapping Barley Lodging with UAS Multispectral Imagery and Machine Learning
Includes: Patterson, G.[Genevieve] Patterson, G. Patterson, G.[Greg]
7 for Patterson, G.
Patterson, G.W.
* 2017: Comparison of Radar Polarimetry Data of the Moon From the LRO Mini-RF Instrument and Earth-Based Systems, A
* 2024: Inferring the Variability of Dielectric Constant on the Moon from Mini-RF S-Band Observations
Includes: Patterson, G.W. Patterson, G.W.[Gerald Wesley]
Patterson, J.
* 2004: 3D performance capture for facial animation
* 2009: In Situ Characterization of the Degradation of PLGA Microspheres in Hyaluronic Acid Hydrogels by Optical Coherence Tomography
Patterson, J.A.[Jeremy A.]
* 2025: Efficacy Assessments of Virtual Reality Systems for Immersive Consumer Testing: Two Case Studies With Tortilla Chip Evaluations
Patterson, K.L.[Kelly L.]
* 2025: Marijuana Dispensary Locations and Neighborhood Characteristics in New York City
Patterson, M.[Marlene]
* 2006: Automated Thematic Registration of NOAA, CoastWatch, and AVHRR Images
Patterson, M.S.[Matthew S.]
* 2018: Development of a Regional LIDAR-Derived Above-Ground Biomass Model with Bayesian Model Averaging for Use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico, USA
Patterson, P.L.[Paul L.]
* 2018: Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data
Patterson, R.M.
* 1994: Location and geometric description of carpal bones in CT images
Patterson, T.[Timothy]
* 2011: Utilizing Geographic Information System Data for Unmanned Aerial Vehicle Position Estimation
* 2014: Timely autonomous identification of UAV safe landing zones
Patterson, W.
* 2007: On the Development of Digital Signatures for Author Identification
Patterson, Z.
* 2020: Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey
* 2022: Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis
* 2022: Improved Training for 3D Point Cloud Classification
* 2023: CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud
* 2023: Graph Neural Networks for Intelligent Transportation Systems: A Survey
* 2024: Improving 3d Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
* 2026: Noise-Robust Approach Using Dynamic Graph Neural Networks for Bus Passenger Flow Prediction, A
Includes: Patterson, Z. Patterson, Z.[Zachary]
7 for Patterson, Z.
Pattey, E.[Elizabeth]
* 2019: Coupling Hyperspectral Remote Sensing Data with a Crop Model to Study Winter Wheat Water Demand
Patti, A.
* 1998: Automatic digital redeye reduction
* 2008: Temporal propagation analysis for small errors in a single-frame in H.264 video
Includes: Patti, A. Patti, A.[Andrew]
Patti, A.J.[Andrew J.]
* 1994: Digital video standards conversion in the presence of accelerated motion
* 1994: High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blur
* 1996: System and method for creating high-quality stills from interlaced video
* 1997: Adaptive, global-motion compensated deinterlacing of sequential video fields with post processing
* 1997: Robust Methods for High-Quality Stills from Interlaced Video in the Presence of Dominant Motion
* 1997: Superresolution Video Reconstruction with Arbitrary Sampling Lattices and Nonzero Aperture Time
* 1998: Artifact reduction for POCS-based super resolution with edge adaptive regularization and higher-order interpolants
* 1998: New Motion-Compensated Reduced-Order Model Kalman Filter for Space Varying Restoration of Progressive and Interlaced Video, A
* 1999: On Global Parametric Motion Estimation with Lens Distortion Correction
* 1999: Super-Resolution Image Estimation for Transform Coded Video with Application to MPEG
* 2001: Artifact Reduction for Set Theoretic Super Resolution Image Reconstruction with Edge Adaptive Constraints and Higher-Order Interpolants
* 2002: Super-resolution still and video reconstruction from MPEG-coded video
* 2003: fast parametric motion estimation algorithm with illumination and lens distortion correction, A
* 2008: Motion-compensated deblocking and upscaling for viewing low-res videos on high-res displays
Includes: Patti, A.J.[Andrew J.] Patti, A.J.
14 for Patti, A.J.
Patti, E.[Edoardo]
* 2024: Simulation Framework for Urban Electric Mobility Based on Limited Widespread Data and Spatial Information, A
Patti, G.[Graziano]
* 2022: Characterization of an Active Fault through a Multiparametric Investigation: The Trecastagni Fault and Its Relationship with the Dynamics of Mt. Etna Volcano (Sicily, Italy)
Patti, M.[Mauro]
* 2018: Imaging Multi-Age Construction Settlement Behaviour by Advanced SAR Interferometry
Patti, M.R.
* 1998: Precise Segmentation of the Lateral Ventricles and Caudate-Nucleus in MR Brain Images Using Anatomically Driven Histograms
Patti, V.[Viviana]
* 2021: Sentiment Polarity Classification at EVALITA: Lessons Learned and Open Challenges
Pattichis, C.[Constantinos]
* 2007: Biologically Inspired Region of Interest Selection for Lowbit-Rate Video Coding
Pattichis, C.S.
* 1997: Image Analysis System for Automated Detection of Breast Cancer Nuclei, An
* 2000: AM-FM texture segmentation in electron microscopic muscle imaging
* 2001: Classification of Satellite Cloud Imagery Based on Multi-feature Texture Analysis and Neural Networks
* 2001: Integrated System for the Assessment of Ultrasonic Imaging Atherosclerotic Carotid Plaques, An
* 2002: New image processing models for opacity image analysis in chest radiographs
* 2002: screening system for the assessment of opacity profusion in chest radiographs of miners with pneumoconiosis, A
* 2003: Comparative Study of Morphological and Other Texture Features for the Characterization of Atherosclerotic Carotid Plaques, A
* 2003: Multifeature texture analysis for the classification of clouds in satellite imagery
* 2003: Texture-based classification of atherosclerotic carotid plaques
* 2010: AM-FM texture image analysis in brain white matter lesions in the progression of Multiple Sclerosis
* 2012: Completely Automated Multiresolution Edge Snapper: A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on a Multi-Institutional Database
* 2021: Adaptive Semi-automated Integrated System for Multiple Sclerosis Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network, An
* 2021: Rule Extraction in the Assessment of Brain MRI Lesions in Multiple Sclerosis: Preliminary Findings
* 2021: Three-Dimensional Reconstruction Integrated System for Brain Multiple Sclerosis Lesions, A
* 2023: Comparative Performance Assessment of Different Video Codecs, A
* 2023: Comparative Study of Explainable Ai models in the Assessment of Multiple Sclerosis, A
* 2024: Stroke Risk Assessment Through Sparse AM-FM Decompositions of Carotid Plaque Ultrasound Images
Includes: Pattichis, C.S. Pattichis, C.S.[Constantinos S.]
17 for Pattichis, C.S.
Pattichis, M.
* 2001: New Algorithms for Computing Directional Discrete Fourier Transforms
* 2007: Spatiotemporal Independent Component Analysis for the Detection of Functional Responses in Cat Retinal Images
* 2008: Independent Component Analysis for Vision-inspired Classification of Retinal Images with Age-related Macular Degeneration
* 2010: Multiscale AM-FM Methods for Diabetic Retinopathy Lesion Detection
* 2012: Multiscale AM-FM decompositions with GPU acceleration for diabetic retinopathy screening
* 2013: Dynamically Reconfigurable Pixel Processor System Based on Power/Energy-Performance-Accuracy Optimization, A
* 2014: Fast Discrete Periodic Radon Transform for prime sized images: Algorithm, architecture, and VLSI/FPGA implementation, The
* 2014: scalable architecture for implementing the fast discrete periodic radon transform for prime sized images, A
* 2014: unified and pipelined hardware architecture for implementing intra prediction in HEVC, A
* 2016: Fast and Scalable Computation of the Forward and Inverse Discrete Periodic Radon Transform
* 2017: Fast 2D Convolutions and Cross-Correlations Using Scalable Architectures
* 2018: Fast and Parallel Computation of the Discrete Periodic Radon Transform on GPUs, Multicore CPUs and FPGAs
* 2020: Fast and Scalable 2D Convolutions and Cross-correlations for Processing Image Databases and Videos on CPUs
* 2021: Bilingual Speech Recognition by Estimating Speaker Geometry from Video Data
* 2021: Facial Recognition in Collaborative Learning Videos
* 2023: Teaching Computer Programming with Mathematics for Generating Digital Videos and Machine Learning Optimization
* 2025: DT-LSD: Deformable Transformer-Based Line Segment Detection
* 2025: Linea: Fast and Accurate Line Detection using Scalable Transformers
Includes: Pattichis, M. Pattichis, M.[Marios]
18 for Pattichis, M.
Pattichis, M.S.
* 1998: Rate control for foveated MPEG/H.263 video
* 2000: AM-FM texture segmentation in electron microscopic muscle imaging
* 2001: Active Contour Segmentation Guided by AM-FM Dominant Component Analysis
* 2001: Fingerprint classification using an AM-FM model
* 2001: Foveated video compression with optimal rate control
* 2001: Integrated System for the Assessment of Ultrasonic Imaging Atherosclerotic Carotid Plaques, An
* 2001: Multidimensional orthogonal FM transforms
* 2002: Multidimensional AM-FM Models with Image Processing Applications
* 2002: New image processing models for opacity image analysis in chest radiographs
* 2002: Pre-classification of chest radiographs for improved active shape model segmentation of ribs
* 2002: screening system for the assessment of opacity profusion in chest radiographs of miners with pneumoconiosis, A
* 2003: Comparative Study of Morphological and Other Texture Features for the Characterization of Atherosclerotic Carotid Plaques, A
* 2004: characterization of scanning noise and quantization on texture feature analysis, The
* 2004: Nested random phase sequence sets: a link between AM-FM demodulation and increasing operators with application to cardiac image analysis
* 2005: New Algorithms for Fast and Accurate AM-FM Demodulation of Digital Images
* 2006: Robust Segmentation of Freehand Ultrasound Image Slices Using Gradient Vector Flow Fast Geometric Active Contours
* 2007: Analyzing Image Structure by Multidimensional Frequency Modulation
* 2007: Robust Multiscale AM-FM Demodulation of Digital Images
* 2007: Robust Multispectral Image Registration Using Mutual-Information Models
* 2008: AM-FM Demodulation Methods for Reconstruction, Analysis and Motion Estimation in Video signals
* 2009: Multiscale AM-FM analysis of pneumoconiosis x-ray images
* 2009: New models for region of interest reader classification analysis in chest radiographs
* 2010: AM-FM texture image analysis in brain white matter lesions in the progression of Multiple Sclerosis
* 2010: Multiscale AM-FM Demodulation and Image Reconstruction Methods With Improved Accuracy
* 2010: Real-time dynamically reconfigurable 2-D filterbanks
* 2011: Multiscale directional AM-FM demodulation of images using a 2D optimized method
* 2012: Detection of hard exudates and red lesions in the macula using a multiscale approach
* 2012: dynamically reconfigurable DCT architecture for maximum image quality subject to dynamic power and bitrate constraints, A
* 2012: Dynamically reconfigurable DCT architectures based on bitrate, power, and image quality considerations
* 2012: Multiscale Sampling Geometries and Methods for Deterministic and Stochastic Reconstructions of Magnitude and Phase Spectra of Satellite Imagery
* 2012: Real-time diabetic retinopathy patient screening using multiscale AM-FM methods
* 2016: Optimal HEVC encoding based on GOP configurations
* 2018: Context-Sensitive Human Activity Classification in Collaborative Learning Environments
* 2018: dynamically reconfigurable architecture system for time-varying image constraints (DRASTIC) for motion JPEG, A
* 2018: Robust Head Detection in Collaborative Learning Environments Using AM-FM Representations
* 2020: Image Processing Methods for Coronal Hole Segmentation, Matching, and Map Classification
* 2020: Importance of the Instantaneous Phase for Face Detection using Simple Convolutional Neural Networks, The
* 2021: Fast Hand Detection in Collaborative Learning Environments
* 2021: Multidataset Independent Subspace Analysis With Application to Multimodal Fusion
* 2021: Talking Detection in Collaborative Learning Environments
* 2023: Comparative Performance Assessment of Different Video Codecs, A
* 2024: Stroke Risk Assessment Through Sparse AM-FM Decompositions of Carotid Plaque Ultrasound Images
* 2024: Understanding Neural Network Systems for Image Analysis Using Vector Spaces
Includes: Pattichis, M.S. Pattichis, M.S.[Marios S.]
43 for Pattichis, M.S.
Pattichis, R.[Rebecca]
* 2024: Understanding Neural Network Systems for Image Analysis Using Vector Spaces
Pattillo, A.[Allen]
* 2023: SeaDroneSim: Simulation of Aerial Images for Detection of Objects Above Water
Pattinson, T.
* 2010: Accuracy of Exterior Orientation for a Range Camera
Pattipati, K.
* 2009: Anomaly Detection via Feature-Aided Tracking and Hidden Markov Models
Pattipati, K.R.
* 1989: Use of Measurements from an Imaging Sensor for Precision Target Tracking
* 1997: IMM Estimation for Multitarget-Multisensor Air-Traffic Surveillance
* 2021: Quickest Detection of COVID-19 Pandemic Onset
Includes: Pattipati, K.R. Pattipati, K.R.[Krishna R.]
Pattisapu, V.K.[Varaha Karthik]
* 2020: PET-Guided Attention Network for Segmentation of Lung Tumors from PET/CT Images
Pattison, A.J.
* 2014: Spatially-Resolved Hydraulic Conductivity Estimation Via Poroelastic Magnetic Resonance Elastography
Pattke, M.[Marco]
* 2019: Towards a Mixed Reality Assistance System for the Inspection After Final Car Assembly
Pattnaik, I.[Ipsita]
* 2025: CASK-Net fusion: Multi branch approach for cross-age sketch face recognition
Pattnaik, P.K.[Prasant Kumar]
* 2014: expeditious cum efficient algorithm for salt-and-pepper noise removal and edge-detail preservation using cardinal spline interpolation, An
Patton, B.A.[Brett A.]
* 2021: Developing bare-earth digital elevation models from structure-from-motion data on barrier islands
Patton, B.W.
* 2009: Anomaly Detection in Radiation Sensor Data With Application to Transportation Security
Patton, L.K.
* 2014: Multichannel Detection of an Unknown Rank-N Signal Using Uncalibrated Receivers
Patton, M.
* 2018: Identifying SCADA Systems and Their Vulnerabilities on the Internet of Things: A Text-Mining Approach
Patton, R.
* 1996: Target Identification Using Geometric Hashing and FLIR/LADAR Fusion
Patton, R.J.[Ron J.]
* 2024: Defense and Tolerance Technique Against Attacks and Faults on Leader-Following Multi-USVs
Patton, T.
* 2016: Tissue-Volume Preserving Deformable Image Registration for 4DCT Pulmonary Images
Patton, T.J.
* 2019: FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images
* 2020: N-Phase Local Expansion Ratio for Characterizing Out-of-Phase Lung Ventilation
Patton, W.
* 2008: Identification of Choroidal Neovascularisation on Fluorescein Angiograms Using Gradient Vector Flow Active Contours
Pattrapisetwong, P.[Preeyanan]
* 2015: new method to detect nystagmus for vertigo diagnosis system by eye movement velocity, A
Pattwakkar, V.N.[Vaidehi Nayantara]
* 2023: Automatic liver tumor segmentation on multiphase computed tomography volume using SegNet deep neural network and K-means clustering
Pattyn, E.[Emilie]
* 2025: Exploring the Relationship Between Stress-Physiology and Pain in the Daily Life of Patients With Chronic Widespread Pain
Pattyn, V.[Valerie]
* 2020: Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping