Index for mccu

McCubbin, I.B.[Ian B.] * 2015: Leveraging in-scene spectra for vegetation species discrimination with MESMA-MDA

McCubbine, J.C. * 2019: Gravimetric Geoid Modelling Over Peninsular Malaysia Using Two Different Gridding Approaches for Combining Free Air Anomaly

McCue, C. * 1999: Impact of Dense Range Data on Computer Graphics, The

McCue, S.W.[Scott W.] * 2025: Data Fusion for a Multiscale Model of a Wheat Leaf Surface: A Unifying Approach Using a Radial Basis Function Partition of Unity Method

McCullagh, B.[Barry] * 2012: Real-time disparity map computation using the cell broadband engine

McCullagh, M. * 2013: Crowdsourced Mapping: Letting Amateurs into the Temple?

McCullagh, P. * 2008: Identification of Choroidal Neovascularisation on Fluorescein Angiograms Using Gradient Vector Flow Active Contours
* 2017: Situation Awareness Inferred From Posture Transition and Location: Derived From Smartphone and Smart home Sensors
* 2018: Eye Tracking the Visual Attention of Nurses Interpreting Simulated Vital Signs Scenarios: Mining Metrics to Discriminate Between Performance Level
* 2020: Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury

McCulley, D.[Daniel] * 2014: Object Disambiguation for Augmented Reality Applications

McCulloch, A.D.[Andrew D.] * 2007: Effect of Pacing Site and Infarct Location on Regional Mechanics and Global Hemodynamics in a Model Based Study of Heart Failure
* 2026: MorphiNet: A Graph Subdivision Network for Adaptive Bi-Ventricle Surface Reconstruction

McCulloch, J. * 2013: Detecting wires in the canopy of grapevines using neural networks: A robust and heuristic free approach
* 2016: Extraction of utility poles in LIDAR scans using cross-sectional slices
* 2017: Utility pole extraction using vehicle-mounted LIDAR for dynamic line rating
* 2018: Density Based Recovery of Urban Power Lines Using Vehicle-Mounted LiDAR
* 2020: Conductor Reconstruction for Dynamic Line Rating Using Vehicle-Mounted LiDAR
* 2021: Radar Measurements of Snow Depth Over Sea Ice on an Unmanned Aerial Vehicle
Includes: McCulloch, J. McCulloch, J.[Josh]

McCulloch, L.A.[Lindsay A.] * 2020: Comparison of Smartphone and Drone Lidar Methods for Characterizing Spatial Variation in PAI in a Tropical Forest

McCulloh, T.A. * 1980: Matching of Natural Terrain Scenes

McCullough, C.[Christine] * 2008: Human and Computer Evaluations of Face Sketches with Implications for Forensic Investigations
* 2009: biometric database with rotating head videos and hand-drawn face sketches, A
* 2010: Hand-Drawn Face Sketch Recognition by Humans and a PCA-Based Algorithm for Forensic Applications
* 2011: Recognizing face sketches by a large number of human subjects: A perception-based study for facial distinctiveness
* 2024: PikeLPN: Mitigating Overlooked Inefficiencies of Low-Precision Neural Networks
Includes: McCullough, C.[Christine] McCullough, C. McCullough, C.[Conor]

McCullough, D.P. * 2008: Segmentation of Whole Cells and Cell Nuclei From 3-D Optical Microscope Images Using Dynamic Programming

McCullough, J. * 2003: Commercial Quality Text: What Does it Take?

McCullough, J.W. * 1971: Segmentation Methods for Recognition of Machine-Printed Characters

McCullough, K.E. * 1999: Gesture Cues for Conversational Interaction in Monocular Video
* 2000: Gesture, Speech, and Gaze Cues for Discourse Segmentation
Includes: McCullough, K.E. McCullough, K.E.[Karl E.]

McCullum, A.J.[Amber Jean] * 2019: Impact of the ARSET Program on Use of Remote-Sensing Data

McCully, C.[Curtis] * 2022: Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images

McCune, J.M.[Jonathan M.] * 1900: Seeing-Is-Believing: Using Camera Phones for Human-Verifiable Authentication

McCurdy, B.[Boyd] * 2009: Brain MRI Segmentation Based on the Rényi's Fractal Dimension

McCurley, C.[Connor] * 2022: Multitarget Multiple-Instance Learning for Hyperspectral Target Detection

McCurley, C.H.[Connor H.] * 2022: Learnable Adaptive Cosine Estimator (LACE) for Image Classification

McCurrie, M.[Mel] * 2017: Predicting First Impressions with Deep Learning
* 2017: Predicting First Impressions with Deep Learning
* 2018: Convolutional Neural Networks for Subjective Face Attributes
* 2022: Bayesian evaluation framework for subjectively annotated visual recognition tasks, A

McCurry, P. * 2001: Xilinx FPGA Implementation of an Image Classifier for Object Detection Applications

McCusker, K.[Kealan] * 2008: Optimising resource allocation for background modeling using algorithm switching
* 2012: Efficient Storage and Decoding of SURF Feature Points

McCutchan, M.[Marvin] * 2021: Semantic Boosting: Enhancing Deep Learning Based LULC Classification
* 2022: Encoding Geospatial Vector Data for Deep Learning: LULC as a Use Case

McCutchen, D. * 2004: 3DAV exploration of video-based rendering technology in MPEG

Index for "m"


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