Index for carn

Carn, S.[Simon] * 2019: Volcano Monitoring from Space Using High-Cadence Planet CubeSat Images Applied to Fuego Volcano, Guatemala
* 2021: Day-Night Monitoring of Volcanic SO2 and Ash Clouds for Aviation Avoidance at Northern Polar Latitudes
* 2022: Lava Volume from Remote Sensing Data: Comparisons with Reverse Petrological Approaches for Two Types of Effusive Eruption

Carnahan, H. * 2015: Feasibility of a semi-automated approach to grading point of care ultrasound image generation skills

Carnahan, P.[Patrick] * 2019: Interactive-Automatic Segmentation and Modelling of the Mitral Valve

Carnec, C.[Claudie] * 2003: Monitoring of slow ground deformation by ERS radar interferometry on the Vauvert salt mine (France): Comparison with ground-based measurement
* 2005: Least Squares Adjustment of Multi-temporal InSAR Data: Application to the Ground Deformation of Paris, A

Carnec, M.[Mathieu] * 2003: image quality assessment method based on perception of structural information, An
* 2003: robust quality metric for color image quality assessment, A
* 2005: Visual Features for Image Quality Assessment with Reduced Reference
* 2006: From SD to HD Television: Effects of H.264 Distortions Versus Display Size on Quality of Experience
* 2008: Objective quality assessment of color images based on a generic perceptual reduced reference
Includes: Carnec, M.[Mathieu] Carnec, M.

Carnegie, D. * 2015: Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors

Carnegie, D.A. * 2009: Development and characterisation of an easily configurable range imaging system
* 2010: Mobile Robot Navigation Modulated by Artificial Emotions
* 2012: Efficient FPGA implementation of homodyne-based time-of-flight range imaging
* 2013: Implementing 3D visualizations of EEG signals in artistic applications

Carnegie, K. * 2013: Expression transfer: A system to build 3D blend shapes for facial animation

Carneiro Barros, J.E.[Jose E.] * 2023: Coastal Flood Mapping with Two Approaches Based on Observations at Furadouro, Northern Portugal
Includes: Carneiro Barros, J.E.[Jose E.] Carneiro-Barros, J.E.[Jose E.]

Carneiro Gomes, J.G.R.[J. G. Rodriguez] * 2016: Codebook Calibration Method for Vector Quantizers Implemented at the Focal Plane of CMOS Imagers
Includes: Carneiro Gomes, J.G.R.[J. G. Rodriguez] Carneiro Gomes, J.G.R.[J. G. Rodríguez]

Carneiro, A.[Allan] * 2015: Investigating Pill Recognition Methods for a New National Library of Medicine Image Dataset
* 2019: Studying the Construction of Floor Mosaics in the Roman Villa of Pisões (Portugal) Using Noninvasive Methods: High-Resolution 3D GPR and Photogrammetry
* 2020: Multi-dataset Approach for DME Risk Detection in Eye Fundus Images, A
* 2020: Optimizing Near Real-Time Detection of Deforestation on Tropical Rainforests Using Sentinel-1 Data
* 2022: Increasing the Lateral Resolution of 3D-GPR Datasets through 2D-FFT Interpolation with Application to a Case Study of the Roman Villa of Horta da Torre (Fronteira, Portugal)
* 2023: Studying the Water Supply System of the Roman Villa of Pisoes (Beja, Portugal) Using Ground-Penetrating Radar and Geospatial Methods
Includes: Carneiro, A.[Allan] Carneiro, A.[André] Carneiro, Â.[Ângela] Carneiro, A.[Arian]

Carneiro, A.C.[Allan C.] * 2019: Parameter optimization of a multiscale descriptor for shape analysis on healthcare image datasets

Carneiro, A.F. * 2020: Exploiting Sentinel-1 SAR Time Series to Detect Grasslands In The Northern Brazilian Amazon

Carneiro, A.M.[Alexsandro Monteiro] * 2021: Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data

Carneiro, A.P.S. * 2012: Brazilian Amazonia Deforestation Detection Using Spatio-temporal Scan Statistics

Carneiro, A.T.S.[Alex Torquato S.] * 2024: Detection of visual pursuits using 1D convolutional neural networks

Carneiro, C.M.[Claudia M.] * 2019: Radial feature descriptors for cell classification and recommendation

Carneiro, D. * 2019: New Methods for Stress Assessment and Monitoring at the Workplace

Carneiro, E.[Eduilson] * 2021: Urban Land Mapping Based on Remote Sensing Time Series in the Google Earth Engine Platform: A Case Study of the Teresina-Timon Conurbation Area in Brazil

Carneiro, G.[Gustavo] * 2002: Phase-Based Local Features
* 2002: What Is the Role of Independence for Visual Recognition?
* 2003: Multi-scale phase-based local features
* 2004: Flexible spatial models for grouping local image features
* 2004: Pruning local feature correspondences using shape context
* 2005: Distinctiveness, Detectability, and Robustness of Local Image Features, The
* 2005: Formulating Semantic Image Annotation as a Supervised Learning Problem
* 2005: Minimum Bayes Error Features for Visual Recognition by Sequential Feature Selection and Extraction
* 2006: Sparse Flexible Models of Local Features
* 2006: Weakly Supervised Top-down Image Segmentation
* 2007: Flexible Spatial Configuration of Local Image Features
* 2007: probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure, A
* 2007: Supervised Learning of Semantic Classes for Image Annotation and Retrieval
* 2008: Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree
* 2008: Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
* 2009: Minimum Bayes error features for visual recognition
* 2009: quantitative characterization of the distinctiveness and robustness of local image descriptors, The
* 2010: automatic design of feature spaces for local image descriptors using an ensemble of non-linear feature extractors, The
* 2010: Comparative Study on the Use of an Ensemble of Feature Extractors for the Automatic Design of Local Image Descriptors, A
* 2010: Efficient search methods and deep belief networks with particle filtering for non-rigid tracking: Application to lip tracking
* 2010: Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking, The
* 2010: Multiple dynamic models for tracking the left ventricle of the heart from ultrasound data using particle filters and deep learning architectures
* 2011: Graph-based methods for the automatic annotation and retrieval of art prints
* 2011: Incremental on-line semi-supervised learning for segmenting the left ventricle of the heart from ultrasound data
* 2011: Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images
* 2012: Artistic Image Classification: An Analysis on the PRINTART Database
* 2012: In Defence of RANSAC for Outlier Rejection in Deformable Registration
* 2012: On-line re-training and segmentation with reduction of the training set: Application to the left ventricle detection in ultrasound imaging
* 2012: Segmentation of the Left Ventricle of the Heart From Ultrasound Data Using Deep Learning Architectures and Derivative-Based Search Methods, The
* 2012: use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle segmentation in ultrasound, The
* 2013: Artistic Image Analysis Using Graph-Based Learning Approaches
* 2013: Closed-Loop Deep Vision
* 2013: Combining a bottom up and top down classifiers for the segmentation of the left ventricle from cardiac imagery
* 2013: Combining Multiple Dynamic Models and Deep Learning Architectures for Tracking the Left Ventricle Endocardium in Ultrasound Data
* 2013: Left ventricle segmentation from cardiac MRI combining level set methods with deep belief networks
* 2013: Point Correspondence Validation under Unknown Radial Distortion
* 2013: Top-Down Segmentation of Non-rigid Visual Objects Using Derivative-Based Search on Sparse Manifolds
* 2014: Artistic Image Analysis Using the Composition of Human Figures
* 2014: Fully Automated Non-rigid Segmentation with Distance Regularized Level Set Evolution Initialized and Constrained by Deep-Structured Inference
* 2014: Non-rigid Segmentation Using Sparse Low Dimensional Manifolds and Deep Belief Networks
* 2015: 3-D Modeling from Concept Sketches of Human Characters with Minimal User Interaction
* 2015: Automated Mass Detection in Mammograms Using Cascaded Deep Learning and Random Forests
* 2015: Automatic detection of necrosis, normoxia and hypoxia in tumors from multimodal cytological images
* 2015: Deep structured learning for mass segmentation from mammograms
* 2015: Flexible and Latent Structured Output Learning, Application to Histology
* 2015: Improved Joint Optimization of Multiple Level Set Functions for the Segmentation of Overlapping Cervical Cells, An
* 2015: Lung segmentation in chest radiographs using distance regularized level set and deep-structured learning and inference
* 2015: Robust Optimization for Deep Regression
* 2015: Towards reduction of the training and search running time complexities for non-rigid object segmentation
* 2015: use of deep learning features in a hierarchical classifier learned with the minimization of a non-greedy loss function that delays gratification, The
* 2015: Weakly-Supervised Structured Output Learning with Flexible and Latent Graphs Using High-Order Loss Functions
* 2016: Learning Local Image Descriptors with Deep Siamese and Triplet Convolutional Networks by Minimizing Global Loss Functions
* 2016: On the importance of normalisation layers in deep learning with piecewise linear activation units
* 2016: Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
* 2017: Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning
* 2017: Automatic Quantification of Tumour Hypoxia From Multi-Modal Microscopy Images Using Weakly-Supervised Learning Methods
* 2017: deep convolutional neural network module that promotes competition of multiple-size filters, A
* 2017: Deep Learning on Sparse Manifolds for Faster Object Segmentation
* 2017: Improving the performance of pedestrian detectors using convolutional learning
* 2017: Mass segmentation in mammograms: A cross-sensor comparison of deep and tailored features
* 2017: Multi-channel Convolutional Neural Network Ensemble for Pedestrian Detection
* 2017: Region of Interest Autoencoders with an Application to Pedestrian Detection
* 2017: Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image
* 2017: Smart Mining for Deep Metric Learning
* 2018: Bayesian Semantic Instance Segmentation in Open Set World
* 2018: Multi-modal Cycle-Consistent Generalized Zero-Shot Learning
* 2019: Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning, A
* 2020: Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks
* 2020: Augmentation Network for Generalised Zero-Shot Learning
* 2020: Double Encoder-decoder Networks for Gastrointestinal Polyp Segmentation
* 2020: Generalised Zero-shot Learning with Multi-modal Embedding Spaces
* 2020: Hierarchical Multi-task Approach to Gastrointestinal Image Analysis, A
* 2020: One Shot Segmentation: Unifying Rigid Detection and Non-Rigid Segmentation Using Elastic Regularization
* 2020: Probabilistic Object Detection: Definition and Evaluation
* 2020: Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume
* 2020: Special Issue on Deep Learning for Robotic Vision
* 2020: Uncertainty in Model-Agnostic Meta-Learning using Variational Inference
* 2021: Chaos Theory Approach to Understand Neural Network Optimization, A
* 2021: Combining Data Augmentation and Domain Distance Minimisation to Reduce Domain Generalisation Error
* 2021: Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification
* 2021: EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
* 2021: LOW: Training deep neural networks by learning optimal sample weights
* 2021: Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
* 2022: ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
* 2022: Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision
* 2022: Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
* 2022: Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
* 2022: Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction
* 2023: BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
* 2023: Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels
* 2023: BowelNet: Joint Semantic-Geometric Ensemble Learning for Bowel Segmentation From Both Partially and Fully Labeled CT Images
* 2023: Instance-Dependent Noisy Label Learning via Graphical Modelling
* 2023: Knowing What to Label for Few Shot Microscopy Image Cell Segmentation
* 2023: Learning Support and Trivial Prototypes for Interpretable Image Classification
* 2023: LongReMix: Robust learning with high confidence samples in a noisy label environment
* 2023: Multi-Modal Learning with Missing Modality via Shared-Specific Feature Modelling
* 2023: PAC-Bayes Meta-Learning With Implicit Task-Specific Posteriors
* 2023: Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
* 2023: ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning
* 2023: SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation
* 2024: AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge
* 2024: Frequency Attention for Knowledge Distillation
* 2024: Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning, An
Includes: Carneiro, G.[Gustavo] Carneiro, G.
103 for Carneiro, G.

Carneiro, G.B.[Grace B.] * 2018: Near real-time shadow detection and removal in aerial motion imagery application

Carneiro, H.C.C. * 2020: weightless regression system for predicting multi-modal empathy, A

Carneiro, N.[Nikolas] * 2016: Aspects of Voice Interaction on a Mobile Augmented Reality Application
* 2016: Evaluation of Information Visualization Interaction Techniques Using Gestures and Widgets in 3D Environments
* 2016: Guidelines for Graphical User Interface Design in Mobile Augmented Reality Applications

Carneiro, R.G.[Rayonil Gomes] * 2022: Intercomparison of Planetary Boundary Layer Heights Using Remote Sensing Retrievals and ERA5 Reanalysis over Central Amazonia
* 2023: Long-Term Measurements of the Atmospheric Boundary Layer Height in Central Amazonia Using Remote Sensing Instruments

Carneiro, S.[Samuel] * 2018: Monitoring the Vulnerability of the Dam and Dikes in Germano Iron Mining Area after the Collapse of the Tailings Dam of Fundão (Mariana-MG, Brazil) Using DInSAR Techniques with TerraSAR-X Data

Carneiro, T.[Tiago] * 2019: Detecting Parkinson's disease with sustained phonation and speech signals using machine learning techniques

Carnemolla, F.[Francesco] * 2023: Sentinel-1 Interferometry and UAV Aerial Survey for Mapping Coseismic Ruptures: Mts. Sibillini vs. Mt. Etna Volcano

Carnero, J.[Javier] * 2012: Triangle Mesh Compression and Homological Spanning Forests

Carnes, J.G. * 1982: semi-automatic technique for multitemporal classification of a given crop within a landsat scene, A

Carnevale, C. * 2014: Vertical Distribution of Lower Tropospheric NO2 Derived From Diffuse Solar Radiation Measurements: A Geometrical Retrieval Approach

Carnevale, G.[Giuseppina] * 2022: Space Weather Effects Observed in the Northern Hemisphere during November 2021 Geomagnetic Storm: The Impacts on Plasmasphere, Ionosphere and Thermosphere Systems

Carnevale, P.J. * 2015: Humans versus Computers: Impact of Emotion Expressions on People's Decision Making
* 2015: I Can Already Guess Your Answer: Predicting Respondent Reactions during Dyadic Negotiation

Carnevali, J.C. * 2016: On combining Websensors and DTW distance for kNN Time Series Forecasting

Carnevali, L. * 2019: Continuous-Time Model-Based Approach for Activity Recognition in Pervasive Environments, A
* 2021: Colourimetric Calibration for Photography, Photogrammetry, And Photomodelling Within Architectural Survey

Carnevali, O.[Oliana] * 2021: Automatic Classification of Human Granulosa Cells in Assisted Reproductive Technology using vibrational spectroscopy imaging

Carnevali, P. * 1985: Image Processing by Simulated Annealing

Carney, D.[Daniel] * 2020: ECOSTRESS and CIMIS: A Comparison of Potential and Reference Evapotranspiration in Riverside County, California

Carney, P. * 2007: Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry

Carney, P.R.[Paul R.] * 2008: Multi-fiber reconstruction from DW-MRI using a continuous mixture of von Mises-Fisher distributions

Carney, P.S.[P. Scott] * 2003: Theory of total-internal-reflection tomography
* 2006: Inverse scattering for rotationally scanned optical coherence tomography
* 2007: Interferometric Synthetic Aperture Microscopy: Physics-Based Image Reconstruction from Optical Coherence Tomography Data
* 2007: Nonparaxial vector-field modeling of optical coherence tomography and interferometric synthetic aperture microscopy
* 2009: Partially coherent illumination in full-field interferometric synthetic aperture microscopy
* 2017: Synthetic aperture imaging in astronomy and aerospace: introduction

Carnicer, A.[Arturo] * 1996: Algorithm for Detecting Images in Defocused Scenes Using Optical Correlation
* 2000: Methods for Invariant Signature Classification
* 2016: Security authentication with a three-dimensional optical phase code using random forest classifier
Includes: Carnicer, A.[Arturo] Carnicer, A. Carnicer, A.[Artur]

Carnicer, R.M.[Rafael Medina] * 2008: Adaptive multi-modal stereo people tracking without background modelling
* 2020: Unsupervised generation of polygonal approximations based on the convex hull

Carnicero, C.L.[Carlos Lopez] * 2019: On the Combination of Remote Sensing and Geophysical Methods for the Digitalization of the San Lázaro Middle Paleolithic Rock Shelter (Segovia, Central Iberia, Spain)
Includes: Carnicero, C.L.[Carlos Lopez] Carnicero, C.L.[Carlos López]

Carniel, R.[Roberto] * 2015: Unsupervised Classification of Raw Full-Waveform Airborne Lidar Data by Self Organizing Maps

Carniel, S.[Sandro] * 2022: Maritime Anomaly Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal

Carniello, L.[Luca] * 2019: Remote Sensing for Optimal Estimation of Water Temperature Dynamics in Shallow Tidal Environments

Carnine, P.D. * 1988: Road Finding for Road-Network Extraction
* 1988: Road Finding for Road-Network Extraction
* 1993: Finding Road Seeds in Aerial Images
Includes: Carnine, P.D. Carnine, Jr., P.D.

Carnis, F. * 2015: Patient-Specific Biomechanical Model for the Prediction of Lung Motion From 4-D CT Images

Index for "c"