Index for esca

Escada, M.[Maria] * 2016: Forest Fragmentation in the Lower Amazon Floodplain: Implications for Biodiversity and Ecosystem Service Provision to Riverine Populations

Escada, M.I.S.[Maria Isabel S.] * 2017: Examining Multi-Legend Change Detection in Amazon with Pixel and Region Based Methods
* 2022: Identifying Precarious Settlements and Urban Fabric Typologies Based on GEOBIA and Data Mining in Brazilian Amazon Cities
Includes: Escada, M.I.S.[Maria Isabel S.] Escada, M.I.S.[Maria Isabel Sobral]

Escalada Imaz, G. * 2012: Phonetic Unification of Multiple Accents for Spanish and Arabic Languages
* 2014: Problem Solving Environment Based on Knowledge Based System Principles
Includes: Escalada Imaz, G. Escalada-Imaz, G.

Escalante Ramirez, B.[Boris] * 2000: Optic-flow Information Extraction with Directional Gaussian-derivatives
* 2003: Image fusion with the hermite transform
* 2005: Advanced modeling of visual information processing: A multi-resolution directional-oriented image transform based on Gaussian derivatives
* 2006: Multiscale Hermite Transform for Local Orientation Analysis, The
* 2008: Hermite Transform: An Alternative Image Representation Model for Iris Recognition, The
* 2009: Advances in Rotation-Invariant Texture Analysis
* 2011: Rotation-invariant texture features from the steered Hermite transform
* 2012: Texture Image Retrieval Based on Log-Gabor Features
* 2013: Advances in Texture Analysis for Emphysema Classification
* 2013: Optical flow estimation in cardiac CT images using the steered Hermite transform
* 2016: Characterization of hematologic malignancies based on discrete orthogonal moments
* 2019: Lesion Detection in Breast Ultrasound Images Using a Machine Learning Approach and Genetic Optimization
Includes: Escalante Ramirez, B.[Boris] Escalante-Ramírez, B.[Boris] Escalante-Ramirez, B. Escalante-Ramirez, B.[Boris] Escalante-Ramírez, B.
12 for Escalante Ramirez, B.

Escalante, B. * 1999: AMOVIP: advanced modeling of visual information processing

Escalante, H.J.[Hugo Jair] * 2007: Word Co-occurrence and Markov Random Fields for Improving Automatic Image Annotation
* 2009: Particle Swarm Model Selection for Authorship Verification
* 2010: segmented and annotated IAPR TC-12 benchmark, The
* 2011: comparative study of object-level spatial context techniques for semantic image analysis, A
* 2011: energy-based model for region-labeling, An
* 2012: ChaLearn gesture challenge: Design and first results
* 2013: Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection
* 2013: Genetic Programming of Heterogeneous Ensembles for Classification
* 2013: Genetic Programming of Prototypes for Pattern Classification
* 2013: One-Shot DTW-Based Method for Early Gesture Recognition, A
* 2014: ChaLearn gesture dataset (CGD 2011), The
* 2014: ChaLearn Looking at People Challenge 2014: Dataset and Results
* 2014: CSMMI: Class-Specific Maximization of Mutual Information for Action and Gesture Recognition
* 2014: Enhanced Fuzzy-Relational Neural Network with Alternative Relational Products
* 2014: Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection
* 2014: Object Recognition with Näive Bayes-NN via Prototype Generation
* 2015: ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition
* 2015: ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results
* 2015: Gesture and Action Recognition by Evolved Dynamic Subgestures
* 2015: Improved Learning Rule for LVQ Based on Granular Computing
* 2016: ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview
* 2016: ChaLearn LAP 2016: First Round Challenge on First Impressions: Dataset and Results
* 2016: ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016
* 2016: naïve Bayes baseline for early gesture recognition, A
* 2017: Flexible Framework for the Evaluation of Unsupervised Image Annotation, A
* 2017: Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation
* 2017: Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges
* 2017: Semi-supervised Online Kernel Semantic Embedding for Multi-label Annotation
* 2017: Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences, A
* 2017: Visualizing Apparent Personality Analysis with Deep Residual Networks
* 2018: Automated Detection of Hummingbirds in Images: A Deep Learning Approach
* 2018: Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings: Addressing Who's Who
* 2018: From Text to Speech: A Multimodal Cross-Domain Approach for Deception Detection
* 2018: Guest Editorial: Apparent Personality Analysis
* 2018: Guest Editorial: The Computational Face
* 2018: Looking at People Special Issue
* 2018: Multimodal First Impression Analysis with Deep Residual Networks
* 2018: Overview of the Multimedia Information Processing for Personality and Social Networks Analysis Contest
* 2018: Recognition of Apparent Personality Traits from Text and Handwritten Images
* 2019: Guest editorial: special issue on human abnormal behavioural analysis
* 2019: Scalable multi-label annotation via semi-supervised kernel semantic embedding
* 2019: Transductive non-linear semantic embedding for multi-class classification
* 2020: From neighbors to strengths-the k-strongest strengths (kSS) classification algorithm
* 2020: Guest Editorial: Image and Video Inpainting and Denoising
* 2021: 3D High-Fidelity Mask Face Presentation Attack Detection Challenge
* 2021: CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-Ethnicity Face Anti-spoofing
* 2021: Cross-ethnicity face anti-spoofing recognition challenge: A review
* 2021: Guest Editorial: Automated Machine Learning
* 2021: Multi-source Transfer Learning for Deep Reinforcement Learning
* 2021: Perceptual and Pixel-Wise Information for Visual Novelty Detection
* 2022: First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
* 2022: Modeling, Recognizing, and Explaining Apparent Personality From Videos
* 2023: Surveillance Face Presentation Attack Detection Challenge
* 2023: Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
Includes: Escalante, H.J.[Hugo Jair] Escalante, H.J. Escalante, H.J.[Hugo J.]
54 for Escalante, H.J.

Escalante, P.A.A.[Pablo Andres Arbelaez] * 2016: Combinatorial Approach for Hyperspectral Image Segmentation, A
Includes: Escalante, P.A.A.[Pablo Andres Arbelaez] Escalante, P.A.A.[Pablo Andrés Arbeláez]

Escalera, S.[Sergio] * 2006: Decoding of Ternary Error Correcting Output Codes
* 2006: ECOC-ONE: A Novel Coding and Decoding Strategy
* 2006: Forest Extension of Error Correcting Output Codes and Boosted Landmarks
* 2007: Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scenes
* 2007: Complex Salient Regions for Computer Vision Problems
* 2007: Handwritten Symbol Recognition by a Boosted Blurred Shape Model with Error Correction
* 2007: Multi-class Binary Object Categorization Using Blurred Shape Models
* 2007: Robust Complex Salient Regions
* 2008: Error-Correcting output coding for chagasic patients characterization
* 2008: incremental node embedding technique for error correcting output codes, An
* 2008: IVUS tissue characterization with sub-class error-correcting output codes
* 2008: Separability of ternary Error-Correcting Output Codes
* 2008: Sub-class Error-Correcting Output Codes
* 2008: Subclass Problem-Dependent Design for Error-Correcting Output Codes
* 2009: Blurred Shape Model for Binary and Grey-Level Symbol Recognition
* 2009: Circular Blurred Shape Model for symbol spotting in documents
* 2009: Contextual-Guided Bag-of-Visual-Words Model for Multi-class Object Categorization
* 2009: Dominance detection in face-to-face conversations
* 2009: Multi-class Binary Symbol Classification with Circular Blurred Shape Models
* 2009: Multi-modal laughter recognition in video conversations
* 2009: Separability of ternary codes for sparse designs of error-correcting output codes
* 2009: Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification
* 2010: Adding Classes Online in Error Correcting Output Codes Framework
* 2010: Continuous procrustes analysis to learn 2D shape models from 3D objects
* 2010: On the Decoding Process in Ternary Error-Correcting Output Codes
* 2010: Re-coding ECOCs without re-training
* 2010: Spatio-Temporal GrabCut human segmentation for face and pose recovery
* 2010: Symbol Classification Using Dynamic Aligned Shape Descriptor
* 2010: Traffic sign recognition system with beta-correction
* 2011: Automatic user interaction correction via Multi-label Graph cuts
* 2011: Circular Blurred Shape Model for Multiclass Symbol Recognition
* 2011: Feature-weighting in dynamic time-warping for gesture recognition in depth data
* 2011: Online error correcting output codes
* 2011: Traffic-Sign Recognition Systems
* 2012: Automatic Internal Segmentation of Caudate Nucleus for Diagnosis of Attention-Deficit/Hyperactivity Disorder
* 2012: BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
* 2012: Genetic Inspired Optimization for ECOC, A
* 2012: Graph cuts optimization for multi-limb human segmentation in depth maps
* 2012: Human Behavior Analysis from Depth Maps
* 2012: Minimal design of error-correcting output codes
* 2012: User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis
* 2013: genetic-based subspace analysis method for improving Error-Correcting Output Coding, A
* 2013: Human Body Segmentation with Multi-limb Error-Correcting Output Codes Detection and Graph Cuts Optimization
* 2013: Multi-modal user identification and object recognition surveillance system
* 2013: Tri-modal Person Re-identification with RGB, Depth and Thermal Features
* 2014: ChaLearn Looking at People Challenge 2014: Dataset and Results
* 2014: Contextual Rescoring for Human Pose Estimation
* 2014: Continuous Generalized Procrustes analysis
* 2014: Framework of Multi-classifier Fusion for Human Action Recognition, A
* 2014: Generic Subclass Ensemble: A Novel Approach to Ensemble Classification
* 2014: Iterative multi-class multi-scale stacked sequential learning: Definition and application to medical volume segmentation
* 2014: Learning to Segment Humans by Stacking Their Body Parts
* 2014: On the design of an ECOC-Compliant Genetic Algorithm
* 2014: Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D
* 2014: Spherical Blurred Shape Model for 3-D Object and Pose Recognition: Quantitative Analysis and HCI Applications in Smart Environments
* 2014: Subspace Procrustes Analysis
* 2015: ChaLearn Looking at People 2015 challenges: Action spotting and cultural event recognition
* 2015: ChaLearn Looking at People 2015: Apparent Age and Cultural Event Recognition Datasets and Results
* 2015: Gesture and Action Recognition by Evolved Dynamic Subgestures
* 2015: Keep it accurate and diverse: Enhancing action recognition performance by ensemble learning
* 2015: Multi-part body segmentation based on depth maps for soft biometry analysis
* 2015: new retexturing method for virtual fitting room using Kinect 2 camera, A
* 2015: Non-verbal communication analysis in Victim-Offender Mediations
* 2015: Spatial codification of label predictions in multi-scale stacked sequential learning: a case study on multi-class medical volume segmentation
* 2015: Spatiotemporal analysis of RGB-D-T facial images for multimodal pain level recognition
* 2015: Unsupervised Behavior-Specific Dictionary Learning for Abnormal Event Detection
* 2016: ChaLearn Joint Contest on Multimedia Challenges Beyond Visual Analysis: An overview
* 2016: ChaLearn LAP 2016: First Round Challenge on First Impressions: Dataset and Results
* 2016: ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016
* 2016: ChaLearn Looking at People RGB-D Isolated and Continuous Datasets for Gesture Recognition
* 2016: Continuous Supervised Descent Method for Facial Landmark Localisation
* 2016: Convolutional Neural Network Super Resolution for Face Recognition in Surveillance Monitoring
* 2016: Fusion of classifier predictions for audio-visual emotion recognition
* 2016: Gesture Recognition System for Detecting Behavioral Patterns of ADHD, A
* 2016: Guest Editors' Introduction to the Special Issue on Multimodal Human Pose Recovery and Behavior Analysis
* 2016: Improved RGB-D-T based face recognition
* 2016: Multi-modal RGB-Depth-Thermal Human Body Segmentation
* 2016: Overcoming Calibration Problems in Pattern Labeling with Pairwise Ratings: Application to Personality Traits
* 2016: Poselet-Based Contextual Rescoring for Human Pose Estimation via Pictorial Structures
* 2016: real-time Human-Robot Interaction system based on gestures for assistive scenarios, A
* 2016: RGB-D Segmentation of Poultry Entrails
* 2016: Robust non-blind color video watermarking using QR decomposition and entropy analysis
* 2016: Segmentation of RGB-D indoor scenes by stacking random forests and conditional random fields
* 2016: Spatiotemporal Facial Super-Pixels for Pain Detection
* 2016: Support vector machines with time series distance kernels for action classification
* 2017: Action Recognition from RGB-D Data: Comparison and Fusion of Spatio-Temporal Handcrafted Features and Deep Strategies
* 2017: Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database
* 2017: Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis
* 2017: Darwintrees for Action Recognition
* 2017: Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification
* 2017: Exploiting feature Representations Through Similarity Learning and Ranking Aggregation for Person Re-identification
* 2017: Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation: Databases
* 2017: Locality regularized group sparse coding for action recognition
* 2017: Occlusion Aware Hand Pose Recovery from Sequences of Depth Images
* 2017: Results and Analysis of ChaLearn LAP Multi-modal Isolated and Continuous Gesture Recognition, and Real Versus Fake Expressed Emotions Challenges
* 2017: Subspace Procrustes Analysis
* 2017: Survey on Deep Learning Based Approaches for Action and Gesture Recognition in Image Sequences, A
* 2017: Visualizing Apparent Personality Analysis with Deep Residual Networks
* 2017: Wordfence: Text detection in natural images with border awareness
* 2018: Action detection fusing multiple Kinects and a WIMU: an application to in-home assistive technology for the elderly
* 2018: Articulated motion and deformable objects
* 2018: Automatic Access Control Based on Face and Hand Biometrics in a Non-cooperative Context
* 2018: Back-dropout transfer learning for action recognition
* 2018: Beyond one-hot encoding: Lower dimensional target embedding
* 2018: Changes in Facial Expression as Biometric: A Database and Benchmarks of Identification
* 2018: Deep Multimodal Pain Recognition: A Database and Comparison of Spatio-Temporal Visual Modalities
* 2018: Deep Structure Inference Network for Facial Action Unit Recognition
* 2018: Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals
* 2018: Error-Correcting Factorization
* 2018: Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification
* 2018: Folded Recurrent Neural Networks for Future Video Prediction
* 2018: From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation
* 2018: Guest Editorial: The Computational Face
* 2018: Integrating Vision and Language for First-Impression Personality Analysis
* 2018: Looking at People Special Issue
* 2018: Multimodal First Impression Analysis with Deep Residual Networks
* 2018: Overview of the Multimedia Information Processing for Personality and Social Networks Analysis Contest
* 2018: Recurrent neural networks for remote sensing image classification
* 2018: Residual Stacked RNNs for Action Recognition
* 2018: RGB-D-based human motion recognition with deep learning: A survey
* 2018: Top-down model fitting for hand pose recovery in sequences of depth images
* 2019: Audio-Visual Emotion Recognition in Video Clips
* 2019: Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions
* 2019: Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing, A
* 2019: Dynamic 3D Hand Gesture Recognition by Learning Weighted Depth Motion Maps
* 2019: Guest editorial: special issue on human abnormal behavioural analysis
* 2019: LSTA: Long Short-Term Attention for Egocentric Action Recognition
* 2019: What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks?
* 2020: ChaLearn LAP 2020 Challenge on Identity-preserved Human Detection: Dataset and Results
* 2020: Cloth3D: Clothed 3D Humans
* 2020: Computing the Testing Error Without a Testing Set
* 2020: CR-Net: A Deep Classification-Regression Network for Multimodal Apparent Personality Analysis
* 2020: Explainable Early Stopping for Action Unit Recognition
* 2020: Gate-Shift Networks for Video Action Recognition
* 2020: Generative Video Face Reenactment by AUs and Gaze Regularization
* 2020: Guest Editorial: Image and Video Inpainting and Denoising
* 2020: Impairments in decoding facial and vocal emotional expressions in high functioning autistic adults and adolescents
* 2020: Seniors' ability to decode differently aged facial emotional expressions
* 2020: SMPLR: Deep learning based SMPL reverse for 3D human pose and shape recovery
* 2020: Towards automated computer vision: analysis of the AutoCV challenges 2019
* 2021: 3D High-Fidelity Mask Face Presentation Attack Detection Challenge
* 2021: Automatic Recognition of Facial Displays of Unfelt Emotions
* 2021: CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-Ethnicity Face Anti-spoofing
* 2021: ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research
* 2021: Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
* 2021: Cross-ethnicity face anti-spoofing recognition challenge: A review
* 2021: Deep Frequency Re-calibration U-Net for Medical Image Segmentation
* 2021: Deep Parametric Surfaces for 3D Outfit Reconstruction from Single View Image
* 2021: Deep Unsupervised 3D Human Body Reconstruction from a Sparse set of Landmarks
* 2021: DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation
* 2021: Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
* 2021: Emotional Features of Interactions with Empathic Agents
* 2021: Mobile ehealth Platform for Home Monitoring of Bipolar Disorder
* 2021: Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M &Ms Challenge
* 2021: On the Effect of Observed Subject Biases in Apparent Personality Analysis From Audio-Visual Signals
* 2021: Person Perception Biases Exposed: Revisiting the First Impressions Dataset
* 2021: Sign Language Production: A Review
* 2021: SSSGAN: Satellite Style and Structure Generative Adversarial Networks
* 2021: Survey on Emotional Body Gesture Recognition
* 2021: Temporal Cues from Socially Unacceptable Trajectories for Anomaly Detection
* 2021: UV-based reconstruction of 3D garments from a single RGB image
* 2021: Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019
* 2022: Chalearn LAP Seasons in Drift Challenge: Dataset, Design and Results
* 2022: ChaLearn Looking at People: IsoGD and ConGD Large-Scale RGB-D Gesture Recognition
* 2022: ECCV 2022 Sign Spotting Challenge: Dataset, Design and Results
* 2022: End-to-end global to local convolutional neural network learning for hand pose recovery in depth data
* 2022: First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
* 2022: Modeling, Recognizing, and Explaining Apparent Personality From Videos
* 2022: Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
* 2022: Multi-varied Cumulative Alignment for Domain Adaptation
* 2023: BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
* 2023: Beyond AUROC and co. for evaluating out-of-distribution detection performance
* 2023: Blowing in the Wind: CycleNet for Human Cinemagraphs from Still Images
* 2023: Gate-Shift-Fuse for Video Action Recognition
* 2023: Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
* 2023: Learning to Recognize Actions on Objects in Egocentric Video With Attention Dictionaries
* 2023: Surveillance Face Presentation Attack Detection Challenge
* 2023: UPAR Challenge: Pedestrian Attribute Recognition and Attribute-based Person Retrieval - Dataset, Design, and Results
* 2023: Video Transformers: A Survey
* 2023: Which Tokens to Use? Investigating Token Reduction in Vision Transformers
* 2023: Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results
* 2024: Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping, A
* 2024: Identifying Loitering Behavior with Trajectory Analysis
* 2024: LiDAR-Assisted 3D Human Detection for Video Surveillance
* 2024: Swin on Axes: Extending Swin Transformers to Quadtree Image Representations
* 2024: UPAR Challenge 2024: Pedestrian Attribute Recognition and Attribute-Based Person Retrieval - Dataset, Design, and Results
Includes: Escalera, S.[Sergio] Escalera, S.
186 for Escalera, S.

Escallon, F.[Felipe] * 2023: STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction
Includes: Escallon, F.[Felipe] Escallón, F.[Felipe]

Escalon, M.J. * 2016: technological innovation to safely aid in the spatial orientation of blind people in a complex urban environment, A

Escalona Llaguno, M.I.[Martha Isabel] * 2023: Increasing the Resolution and Spectral Range of Measured Direct Irradiance Spectra for PV Applications
Includes: Escalona Llaguno, M.I.[Martha Isabel] Escalona-Llaguno, M.I.[Martha Isabel]

Escalona, A.[Alejandro] * 2023: Holistic 3D Model of an Urban Area in Norway: An Integration of Geophysical, Geotechnical, Remote Sensing, and Geological Methods

Escalona, F.[Felix] * 2020: COMBAHO: A deep learning system for integrating brain injury patients in society

Escalona, K.[Karen] * 2021: Google Earth Engine Application to Retrieve Long-Term Surface Temperature for Small Lakes. Case: San Pedro Lagoons, Chile, A

Escalona, U.[Uriel] * 2023: Learning an artificial neural network to discover bit-quad-based formulas to compute basic object properties

Escamilla Ambrosio, P.J. * 2004: multiple-sensor multiple-target tracking approach for the autotaxi system, A
Includes: Escamilla Ambrosio, P.J. Escamilla-Ambrosio, P.J.

Escamochero, I.[Inigo] * 2016: Operational Framework for Land Cover Classification in the Context of REDD+ Mechanisms. A Case Study from Costa Rica, An
Includes: Escamochero, I.[Inigo] Escamochero, I.[Iñigo]

Escande, P.[Paul] * 2015: Sparse Wavelet Representations of Spatially Varying Blurring Operators
* 2017: Approximation of Integral Operators Using Product-Convolution Expansions
* 2017: Variational Model for Multiplicative Structured Noise Removal, A
* 2019: Contrast Invariant SNR and Isotonic Regressions

Escanye, J.M. * 2016: Joint Reconstruction of Multiple Images and Motion in MRI: Application to Free-Breathing Myocardial T_2 Quantification

Escarela Perez, R.[Rafael] * 2005: High-order statistical texture analysis--font recognition applied
Includes: Escarela Perez, R.[Rafael] Escarela-Perez, R.[Rafael]

Escarela, S.[Sergio] * 2016: SASE: RGB-Depth Database for Human Head Pose Estimation

Escarpinati, M. * 2001: Method to Contrast Enhancement of Digital Dense Breast Images Aimed to Detect Clustered Microcalcifications, A

Escartin, J.[Javier] * 2019: Scale Accuracy Evaluation of Image-Based 3D Reconstruction Strategies Using Laser Photogrammetry
* 2020: Automatic scale estimation of structure from motion based 3D models using laser scalers in underwater scenarios
Includes: Escartin, J.[Javier] Escartín, J.[Javier]

Escarzaga, S.M.[Stephen M.] * 2021: Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches

Escayo, J.[Joaquin] * 2018: Suitability Assessment of X-Band Satellite SAR Data for Geotechnical Monitoring of Site Scale Slow Moving Landslides
* 2020: Geodetic Study of the 2006-2010 Ground Deformation in La Palma (Canary Islands): Observational Results
* 2022: Radar Interferometry as a Monitoring Tool for an Active Mining Area Using Sentinel-1 C-Band Data, Case Study of Riotinto Mine
* 2023: Ground Deformation Monitoring over Xinjiang Coal Fire Area by an Adaptive ERA5-Corrected Stacking-InSAR Method
Includes: Escayo, J.[Joaquin] Escayo, J.[Joaquín]

Index for "e"


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