Flynn, A.M.
* 1985: Recognition Algorithms for the Connection Machine
* 1986: Object Recognition Using the Connection Machine's Router
* 1987: Self Calibration of Motion and Stereo Vision for Mobile Robot Navigation
* 1988: Combining Sonar and Infrared Sensors for Mobile Robot Navigation
* 1988: Self Calibration of Motion and Stereo Vision for Mobile Robot Navigation
Includes: Flynn, A.M. Flynn, A.M.[Anita M.]
Flynn, C.[Connor]
* 2013: Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research (4STAR): Instrument Technology
* 2020: Spatiotemporal Patterns of COVID-19 Impact on Human Activities and Environment in Mainland China Using Nighttime Light and Air Quality Data
Includes: Flynn, C.[Connor] Flynn, C.[Colin]
Flynn, D.[David]
* 2011: Parallel processing for combined intra prediction in high efficiency video coding
* 2012: HEVC Complexity and Implementation Analysis
* 2012: HEVC Complexity and Implementation Analysis
* 2012: Spatial transform skip in the emerging High Efficiency Video Coding standard
* 2013: Adaptive transform skipping for improved coding of motion compensated residuals
* 2016: Overview of the Range Extensions for the HEVC Standard: Tools, Profiles, and Performance
* 2019: Lidar Cloud Detection With Fully Convolutional Networks
* 2021: VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change
Includes: Flynn, D.[David] Flynn, D. Flynn, D.[Donna]
8 for Flynn, D.
Flynn, H.[Hamish]
* 2023: PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison
Flynn, I.T.W.[Ian T. W.]
* 2020: Pyroclastic Density Current Hazard Assessment and Modeling Uncertainties for Fuego Volcano, Guatemala
* 2020: Spatial and Spectral Resolution of ASTER Infrared Image Data: A Paradigm Shift in Volcanological Remote Sensing, The
Includes: Flynn, I.T.W.[Ian T. W.] Flynn, I.T.W.[Ian T.W.]
Flynn, J.
* 2005: Automated Processing of Shoeprint Images Based on the Fourier Transform for Use in Forensic Science
* 2014: Solving for Relative Pose with a Partially Known Rotation is a Quadratic Eigenvalue Problem
* 2016: Deep Stereo: Learning to Predict New Views from the World's Imagery
* 2016: Geometric Neural Phrase Pooling: Modeling the Spatial Co-Occurrence of Neurons
* 2017: 3D Bounding Box Estimation Using Deep Learning and Geometry
* 2019: Characterizing the Cognitive Impact of Tangible Augmented Reality
* 2019: DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
* 2019: DeepView: View Synthesis With Learned Gradient Descent
Includes: Flynn, J. Flynn, J.[John] Flynn, J.[Jeremy]
8 for Flynn, J.
Flynn, J.R.[Jeremy R.]
* 2016: Research on the Use of Puppeteering to Improve Realism in Army Simulations and Training Games
Flynn, K.
* 2017: Integral Curvature Representation and Matching Algorithms for Identification of Dolphins and Whales
* 2020: Extracting identifying contours for African elephants and humpback whales using a learned appearance model
Flynn, K.C.[K. Colton]
* 2020: Nutrient Prediction for Tef (Eragrostis tef) Plant and Grain with Hyperspectral Data and Partial Least Squares Regression: Replicating Methods and Results across Environments
* 2021: Assessing Remote Sensing Vegetation Index Sensitivities for Tall Fescue (Schedonorus arundinaceus) Plant Health with Varying Endophyte and Fertilizer Types: A Case for Improving Poultry Manuresheds
Flynn, K.F.[Kyle F.]
* 2014: Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle
Flynn, L.
* 2017: Recent Improvements to Suomi NPP Ozone Mapper Profiler Suite Nadir Mapper Sensor Data Records
* 2019: Suomi-NPP OMPS Nadir Mapper's Operational SDR Performance
* 2021: Performance of OMPS Nadir Profilers' Sensor Data Records
* 2022: New Reprocessing towards Life-Time Quality-Consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration Improvements and Impact Assessments on Long-Term Quality Stability of OMPS SDR Data Sets
* 2023: Human-in-the-Loop Optimization of Wearable Robotic Devices to Improve Human-Robot Interaction: A Systematic Review
Includes: Flynn, L. Flynn, L.[Lawrence] Flynn, L.[Louis]
Flynn, L.E.[Lawrence E.]
* 2020: Reprocessed Suomi NPP Satellite Observations, The
* 2021: Evaluation and Improvement of the Near-Real-Time Linear Fit SO2 Retrievals From Suomi NPP Ozone Mapping and Profiler Suite
Includes: Flynn, L.E.[Lawrence E.] Flynn, L.E.
Flynn, M.
* 2004: Neurally-based algorithms for image processing
Flynn, M.D.
* 2015: Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks, An
* 2016: Segmental Spatiotemporal CNNs for Fine-Grained Action Segmentation
* 2017: Temporal Convolutional Networks for Action Segmentation and Detection
Flynn, M.J.
* 2000: Hardware and Software Cache Prefetching Techniques for MPEG Benchmarks
* 2006: Mosaicing images with an offset lens
Includes: Flynn, M.J. Flynn, M.J.[Michael J.]
Flynn, P.[Patrick]
* 2023: Full-Body Cardiovascular Sensing with Remote Photoplethysmography
* 2023: Non-Contrastive Unsupervised Learning of Physiological Signals from Video
* 2023: Promoting Generalization in Cross-Dataset Remote Photoplethysmography
Flynn, P.J.
* 1988: Surface Classification: Hypothesis Testing and Parameter Estimation
* 1989: CAD-Based Computer Vision: From CAD Models to Relational Graphs
* 1989: On Reliable Curvature Estimation
* 1989: Segmentation of Document Images
* 1989: Segmentation of Document Images
* 1990: BONSAI: 3D Object Recognition Using Constrained Search
* 1990: CAD-Based Computer Vision: Modeling and Recognition Strategies
* 1991: 3D Object Recognition Using Invariant Feature Indexing of Interpretation Tables
* 1991: BONSAI: 3D Object Recognition Using Constrained Search
* 1991: CAD-Based Computer Vision: From CAD Models to Relational Graphs
* 1991: Model-based Surface Classification
* 1992: 3D Object Recognition Using Invariant Feature Indexing of Interpretation Tables
* 1992: Parallel Hypothesis Verification
* 1992: Saliencies and Symmetries: Toward 3D Object Recognition from Large Model Databases
* 1993: Ground state texture patterns for the second-order Ising model
* 1993: Model-Based Classification of Quadric Surfaces
* 1993: Parallel Hypothesis Verification
* 1993: Three Dimensional Object Recognition Systems
* 1994: 3-D Object Recognition with Symmetrical Models: Symmetry Extraction and Encoding
* 1994: Guaranteed Geometric Hashing
* 1994: Realistic Range Rendering
* 1994: robust system for lineament analysis of aero-magnetic imagery using orientation analysis and edge linking, A
* 1994: Three-Dimensional Object Recognition
* 1995: Integration of Multiple Feature Groups and Multiple Views into a 3d Object Recognition System
* 1995: Range Image Segmentation: The User's Dilemma
* 1995: Recent Progress in CAD-Based Vision
* 1996: Experimental Comparison of Range Image Segmentation Algorithms, An
* 1996: Image Segmentation Using Clustering
* 1996: New Subband Geometries for Image Texture Segmentation
* 1996: Realistic Range Rendering for Object Hypothesis Verification
* 1998: Recent Progress in CAD-Based Computer Vision: An Introduction to the Special Issue
* 1998: WWW-Accessible 3D Image and Model Database for Computer Vision Research, A
* 1998: WWW-Accessible 3D Image and Model Database for Computer Vision Research, A
* 1999: Data clustering: A review
* 1999: Eigenshapes for 3D Object Recognition in Range Data
* 2000: 20th Anniversary of the IEEE Transactions on Pattern Analysis and Machine Intelligence, The
* 2000: 20th Anniversary Survey: Introduction to Content-Based Image Retrieval at the End of the Early Years, A
* 2001: Range image registration: A software platform and empirical evaluation
* 2001: Special Issue on Empirical Evaluation of Computer Vision Algorithms
* 2001: Survey of Free-Form Object Representation and Recognition Techniques, A
* 2002: Experiments in transform-based range image compression
* 2002: Multiscale surface organization and description for free form object recognition
* 2002: Pair-Wise Range Image Registration: A Study in Outlier Classification
* 2002: Position-dependent defocus processing for acoustic holography images
* 2002: Recognition of free-form objects in dense range data using local features
* 2002: Robust detection of buildings in digital surface models
* 2002: Saliency Sequential Surface Organization for Free-Form Object Recognition
* 2003: Aggressive region growing for speckle reduction in ultrasound images
* 2003: Assessment of Time Dependency in Face Recognition: An Initial Study
* 2003: Multi-modal 2D and 3D biometrics for face recognition
* 2003: PCA-based face recognition in infrared imagery: baseline and comparative studies
* 2004: 3D Finger Biometrics
* 2004: Multi-biometrics using facial appearance, shape and temperature
* 2004: survey of approaches to three-dimensional face recognition, A
* 2005: Accuracy of 3D scanning technologies in a face scanning scenario
* 2005: Adaptive Rigid Multi-region Selection for Handling Expression Variation in 3D Face Recognition
* 2005: Evaluation of Multimodal 2D+3D Face Biometrics, An
* 2005: Experimental Evaluation of Eye Location Accuracies and Time-Lapse Effects on Face Recognition Systems
* 2005: Experimental Evaluation of Iris Recognition
* 2005: Eye Perturbation Approach for Robust Recognition of Inaccurately Aligned Faces
* 2005: Finger surface as a biometric identifier
* 2005: Identity Verification Utilizing Finger Surface Features
* 2005: IR and visible light face recognition
* 2005: Overview of the Face Recognition Grand Challenge
* 2005: Personal Identification Utilizing Finger Surface Features
* 2005: survey of approaches and challenges in 3D and multi-modal 3D-2D face recognition, A
* 2006: 3D Face Recognition with Region Committee Voting
* 2006: Comparison of 3D Biometric Modalities, A
* 2006: Empirical Studies of the Existence of the Biometric Menagerie in the FRGC 2.0 Color Image Corpus
* 2006: Face Recognition Using 2-D, 3-D, and Infrared: Is Multimodal Better Than Multisample?
* 2006: Fusion of Infrared and Range Data: Multi-modal Face Images
* 2006: Human Face Modeling and Recognition Through Multi-View High Resolution Stereopsis
* 2006: Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
* 2006: Preliminary Face Recognition Grand Challenge Results
* 2007: All Iris Code Bits are Not Created Equal
* 2007: Comments on the CASIA version 1.0 Iris Data Set
* 2007: Face Detection Algorithm and Feature Performance on FRGC 2.0 Imagery
* 2007: Learning to predict gender from iris images
* 2007: Multi-frame Approaches To Improve Face Recognition
* 2007: Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition
* 2008: All Iris Filters are Not Created Equal
* 2008: Handbook of Biometrics
* 2008: Image Understanding for Iris Biometrics: A survey
* 2008: Importance of Small Pupils: A Study of How Pupil Dilation Affects Iris Biometrics, The
* 2008: Increased Resolution 3D Face Modeling and Recognition From Multiple Low Resolution Structure From Motion Models
* 2008: Iris Challenge Evaluation 2005, The
* 2008: Multi-Factor Approach to Improving Recognition Performance in Surveillance-Quality Video
* 2008: Profile Face Detection: A Subset Multi-Biometric Approach
* 2008: Rotated Profile Signatures for robust 3D feature detection
* 2008: Using multi-instance enrollment to improve performance of 3D face recognition
* 2009: 3D Signatures for Fast 3D Face Recognition
* 2009: Best Bits in an Iris Code, The
* 2009: Contact lenses: Handle with care for iris recognition
* 2009: Empirical Evidence for Correct Iris Match Score Degradation with Increased Time-Lapse between Gallery and Probe Matches
* 2009: Image Averaging for Improved Iris Recognition
* 2009: Impact of involuntary subject movement on 3D face scans
* 2009: Overview of the Multiple Biometrics Grand Challenge
* 2009: Pupil dilation degrades iris biometric performance
* 2009: Region extraction in large-scale urban LIDAR data
* 2009: Using fragile bit coincidence to improve iris recognition
* 2010: Degradation of iris recognition performance due to non-cosmetic prescription contact lenses
* 2010: FRVT 2006 and ICE 2006 Large-Scale Experimental Results
* 2010: ICP Fusion Techniques for 3D Face Recognition
* 2010: Similarity of iris texture between identical twins
* 2011: 3D Twins and Expression Challenge
* 2011: cross-sensor evaluation of three commercial iris cameras for iris biometrics, A
* 2011: Detecting questionable observers using face track clustering
* 2011: Distinguishing identical twins by face recognition
* 2011: Facial marks as biometric signatures to distinguish between identical twins
* 2011: Genetically identical irises have texture similarity that is not detected by iris biometrics
* 2011: Improved Iris Recognition through Fusion of Hamming Distance and Fragile Bit Distance
* 2011: Information fusion in low-resolution iris videos using Principal Components Transform
* 2011: Pose-Robust Recognition of Low-Resolution Face Images
* 2011: Predicting performance of face recognition systems: An image characterization approach
* 2011: Useful features for human verification in near-infrared periocular images
* 2012: Effects of dominance and laterality on iris recognition
* 2012: Multidimensional Scaling for Matching Low-Resolution Face Images
* 2012: Predicting good, bad and ugly match Pairs
* 2012: sparse representation approach to face matching across plastic surgery, A
* 2013: Pose-Robust Recognition of Low-Resolution Face Images
* 2014: Active Clustering with Ensembles for Social structure extraction
* 2014: effectiveness of face detection algorithms in unconstrained crowd scenes, The
* 2014: Finger-knuckle-print verification based on vector consistency of corresponding interest points
* 2014: Iris crypts: Multi-scale detection and shape-based matching
* 2015: Lessons from collecting a million biometric samples
* 2015: Report on the FG 2015 Video Person Recognition Evaluation
* 2016: Dilation-aware enrolment for iris recognition
* 2017: Lessons from collecting a million biometric samples
* 2017: Provenance filtering for multimedia phylogeny
* 2017: Special issue on Best of Biometrics 2015
* 2017: Spotting the difference: Context retrieval and analysis for improved forgery detection and localization
* 2017: U-Phylogeny: Undirected provenance graph construction in the wild
* 2018: Image Provenance Analysis at Scale
* 2018: To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?
* 2019: Beyond Pixels: Image Provenance Analysis Leveraging Metadata
* 2019: Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition
* 2019: Fast Face Image Synthesis With Minimal Training
* 2019: Keep Me In, Coach!: A Computer Vision Perspective on Assessing ACL Injury Risk in Female Athletes
* 2019: Performance of Humans in Iris Recognition: The Impact of Iris Condition and Annotation-Driven Verification
* 2020: On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs
* 2021: Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval
* 2021: This Face Does Not Exist... But It Might Be Yours! Identity Leakage in Generative Models
* 2021: Unifying frame rate and temporal dilations for improved remote pulse detection
* 2022: Digital and Physical-World Attacks on Remote Pulse Detection
* 2022: Interpretable Deep Learning-Based Forensic Iris Segmentation and Recognition
* 2022: Remote Pulse Estimation in the Presence of Face Masks
* 2022: Similarities in African Ethnic Faces from the Biometric Recognition Viewpoint
* 2023: Analyzing the Impact of Shape & Context on the Face Recognition Performance of Deep Networks
Includes: Flynn, P.J. Flynn, P.J.[Patrick J.]
148 for Flynn, P.J.
Flynn, R.
* 2021: Physiology-Based QoE Comparison of Interactive Augmented Reality, Virtual Reality and Tablet-Based Applications, A
Flynn, T.[Thomas]
* 2012: Online Algorithms for Classification of Urban Objects in 3D Point Clouds