Adel Rahman, E.M.
* 2019: Comparative Analysis of Planetscope and Sentinel Sentinel-2 Space-borne Sensors in Mapping Striga Weed Using Guided Regularised Random Forest Classification Ensemble, A
Includes: Adel Rahman, E.M. Adel-Rahman, E.M.
Adel, H.[Heike]
* 2024: SciOL and MuLMS-Img: Introducing A Large-Scale Multimodal Scientific Dataset and Models for Image-Text Tasks in the Scientific Domain
Adel, M.[Mouloud]
* 2006: Noise reduction on mammographic phantom images
* 2008: Filtering noise on mammographic phantom images using local contrast modification functions
* 2009: Statistical-based linear vessel structure detection in medical images
* 2010: probabilistic based method for tracking vessels in retinal images, A
* 2010: Spatial and spectral dependance co-occurrence method for multi-spectral image texture classification
* 2010: Statistical-Based Tracking Technique for Linear Structures Detection: Application to Vessel Segmentation in Medical Images
* 2010: Texture classification for multi-spectral images using spatial and spectral Gray Level Differences
* 2011: novel biometric via hand structure using near-field microwave imaging, A
* 2012: Retinal vessel segmentation using a probabilistic tracking method
* 2014: Brain region of interest selection for 18FDG positrons emission tomography computer-aided image classification
* 2015: Region-based brain selection and classification on pet images for Alzheimer's disease computer aided diagnosis
* 2018: Alzheimer's Disease Diagnosis with FDG-PET Brain Images By Using Multi-Level Features
* 2021: Improving Image Quality In Low-Field MRI With Deep Learning
* 2021: Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging
* 2022: Comparison of GWO-SVM and Random Forest Classifiers in a LevelSet based approach for Bladder wall segmentation and characterisation using MR images
Includes: Adel, M.[Mouloud] Adel, M.[Mohammed] Adel, M.
15 for Adel, M.
Adelabu, S.[Samuel]
* 2014: Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels
Adelabu, S.A.[Samuel A.]
* 2020: Development of post-fire vegetation response-ability model in grassland mountainous ecosystem using GIS and remote sensing
Adelaide, L.[Lucas]
* 2021: Progress and Monitoring Opportunities of Skid Resistance in Road Transport: A Critical Review and Road Sensors
Adeleke, A.K.
* 2016: Intergration Of Lidar Data With Aerial Imagery For Estimating Rooftop Solar Photovoltaic Potentials In City Of Cape Town
Adeleke, O.[Olusola]
* 2023: Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking
Adelfeld, B.
* 1983: Automatic 3D Reconstruction from 2D geometric Part Descriptions
Adeli Mosabbeb, E.[Ehsan]
* 2007: low-cost strong shadow-based segmentation approach for vehicle tracking in congested traffic scenes, A
* 2007: New Approach for Vehicle Detection in Congested Traffic Scenes Based on Strong Shadow Segmentation, A
* 2014: Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization
* 2015: Joint Feature-Sample Selection and Robust Classification for Parkinson's Disease Diagnosis
* 2015: Non-negative matrix completion for action detection
* 2015: Relationship Induced Multi-atlas Learning for Alzheimer's Disease Diagnosis
Includes: Adeli Mosabbeb, E.[Ehsan] Adeli-Mosabbeb, E.[Ehsan]
Adeli, E.[Ehsan]
* 2016: Deep Relative Attributes
* 2016: Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation
* 2018: Adversarially Learned One-Class Classifier for Novelty Detection
* 2018: AVID: Adversarial Visual Irregularity Detection
* 2019: 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation
* 2019: Action-Agnostic Human Pose Forecasting
* 2019: Imitation Learning for Human Pose Prediction
* 2019: Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning
* 2019: Self-Supervised Representation Learning via Neighborhood-Relational Encoding
* 2019: Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises
* 2020: Depth map artefacts reduction: a review
* 2020: Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
* 2020: High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation
* 2020: Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
* 2020: It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction
* 2020: Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection
* 2020: Mammographic mass segmentation using multichannel and multiscale fully convolutional networks
* 2020: Population-guided large margin classifier for high-dimension low-sample-size problems
* 2020: Procedure Planning in Instructional Videos
* 2020: Spatio-Temporal Graph for Video Captioning With Knowledge Distillation
* 2021: 3D CNNs with Adaptive Temporal Feature Resolutions
* 2021: Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation
* 2021: CoCon: Cooperative-Contrastive Learning
* 2021: Home Action Genome: Cooperative Compositional Action Understanding
* 2021: Metadata Normalization
* 2021: Representation Learning with Statistical Independence to Mitigate Bias
* 2021: Scalable Differential Privacy with Sparse Network Finetuning
* 2021: Switching Structured Prediction for Simple and Complex Human Activity Recognition
* 2021: TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
* 2022: Disentangling Normal Aging From Severity of Disease via Weak Supervision on Longitudinal MRI
* 2022: Generative adversarial U-Net for domain-free few-shot medical diagnosis
* 2022: Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding
* 2022: PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens
* 2022: Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
* 2023: Rendering Humans from Object-Occluded Monocular Videos
* 2023: Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network
* 2024: FedNN: Federated learning on concept drift data using weight and adaptive group normalizations
Includes: Adeli, E.[Ehsan] Adeli, E.
37 for Adeli, E.
Adeli, H.[Hojjat]
* 2003: Wavelet energy spectrum for time-frequency localization of earthquake energy
* 2018: Deep-BCN: Deep Networks Meet Biased Competition to Create a Brain-Inspired Model of Attention Control
Includes: Adeli, H.[Hojjat] Adeli, H.
Adeli, K.[Kamran]
* 2018: Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)
Adeli, S.
* 2019: Evaluation of Long Term Trend of Different Drought Indices Using Mann-kendall and Sen's Slope Estimator Over Iran
* 2020: Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
* 2020: Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review
Includes: Adeli, S. Adeli, S.[Sarina]
Adeli, V.[Vida]
* 2019: component-based video content representation for action recognition, A
* 2021: TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild
* 2024: MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network
Adelimanesh, M.A.
* 2020: Complexity Analysis Of Next-Generation VVC Encoding And Decoding
Adeline, K.[Karine]
* 2018: Detection of individual trees in urban alignment from airborne data and contextual information: A marked point process approach
* 2018: Monitoring Crop Evapotranspiration and Crop Coefficients over an Almond and Pistachio Orchard Throughout Remote Sensing
* 2020: Joint Use of PROSAIL and DART for Fast LUT Building: Application to Gap Fraction and Leaf Biochemistry Estimations over Sparse Oak Stands
* 2020: Monitoring LAI, Chlorophylls, and Carotenoids Content of a Woodland Savanna Using Hyperspectral Imagery and 3D Radiative Transfer Modeling
* 2020: Monitoring LAI, Chlorophylls, and Carotenoids Content of a Woodland Savanna Using Hyperspectral Imagery and 3D Radiative Transfer Modeling
* 2020: Montmorillonite Estimation in Clay-Quartz-Calcite Samples from Laboratory SWIR Imaging Spectroscopy: A Comparative Study of Spectral Preprocessings and Unmixing Methods
* 2020: Phenological Dynamics Characterization of Alignment Trees with Sentinel-2 Imagery: A Vegetation Indices Time Series Reconstruction Methodology Adapted to Urban Areas
* 2024: Estimation of Oak Leaf Functional Traits for California Woodland Savannas and Mixed Forests: Comparison between Statistical, Physical, and Hybrid Methods Using Spectroscopy
8 for Adeline, K.
Adeline, K.R.M.
* 2013: Shadow detection in very high spatial resolution aerial images: A comparative study
* 2018: ICARE-VEG: A 3D physics-based atmospheric correction method for tree shadows in urban areas
* 2021: Impact of Modeling Abstractions When Estimating Leaf Mass per Area and Equivalent Water Thickness over Sparse Forests Using a Hybrid Method
* 2021: Impact of Tree Crown Transmittance on Surface Reflectance Retrieval in the Shade for High Spatial Resolution Imaging Spectroscopy: A Simulation Analysis Based on Tree Modeling Scenarios
* 2021: New Material-Oriented TES for Land Surface Temperature and SUHI Retrieval in Urban Areas: Case Study over Madrid in the Framework of the Future TRISHNA Mission, A
Includes: Adeline, K.R.M. Adeline, K.R.M.[Karine R. M.]
Adell, E.
* 2008: Developing human-machine interaction components for a driver assistance system for safe speed and safe distance
Adelman, L.
* 2009: Confirmation Bias in the Analysis of Remote Sensing Data
Adelman, P.[Patrick]
* 2021: Editing like Humans: A Contextual, Multimodal Framework for Automated Video Editing
Adelman, S.[Scott]
* 2009: Automatic estimation of left ventricular dysfunction from echocardiogram videos
Adelmann, G.[Gabriel]
* 2012: Computer-Aided Reclamation of Lost Art
Adelsbach, A.[Andre]
* 2003: On the Insecurity of Non-invertible Watermarking Schemes for Dispute Resolving
Includes: Adelsbach, A.[Andre] Adelsbach, A.[André]
Adelsberger, R.[Rolf]
* 2011: Time-of-flight sensor and color camera calibration for multi-view acquisition
Adelson, E.
* 2017: Connecting Look and Feel: Associating the Visual and Tactile Properties of Physical Materials
Adelson, E.H.
* 1981: Image Data compression with the Laplacian Pyramid
* 1982: Phenomenal Coherence of Moving Visual Patterns
* 1983: Laplacian Pyramid as a Compact Image Code, The
* 1983: Multiresolution Spline with Applications to Image Mosaics, A
* 1983: Perception of Coherent Motion in 2-D Patterns, The
* 1985: Spatiotemporal Energy Models for the Perception of Motion
* 1985: System for coring an image-representing signal
* 1986: Extraction of Spatio-Temporal Energy in Human and Machine Vision, The
* 1987: Depth-of-focus imaging process method
* 1987: Laplacian Pyramid as a Compact Image Code, The
* 1987: Method for compensating for void-defects in images
* 1987: Orthogonal Pyramid Transforms For Image Coding
* 1987: Orthogonal Pyramid Transforms For Image Coding
* 1988: Early Vision and Texture Perception
* 1988: Multi-Scale Image Transforms
* 1989: Non-Separable Extensions of Quadrature Mirror Filters to Multiple Dimensions
* 1989: Perceptual Buildup of Three-Dimensional Structure from Motion, The
* 1989: Subband Transforms
* 1989: Truncated Subband Coding of Images
* 1990: Computing Optical Flow Distributions Using Spatio-Temporal Filters
* 1990: Non-Separable Extensions of Quadrature Mirror Filters to Multiple Dimensions
* 1990: Perceptual Buildup of Three-Dimensional Structure from Motion, The
* 1990: Steerable Filters for Early Vision, Image Analysis and Wavelet Decomposition
* 1990: Subband Image Coding with Three-tap Pyramids
* 1990: Subband Transforms
* 1991: Design and Use of Steerable Filters, The
* 1991: Plenoptic Function and the Elements of Early Vision, The
* 1991: Probability Distributions of Optical Flow
* 1991: Shiftable Multi-Scale Transforms: or What's Wrong with Orthonormal Wavelets
* 1991: stereoscopic camera employing a single main lens, A
* 1992: Shiftable Multi-Scale Transforms: or What's Wrong with Orthonormal Wavelets
* 1992: Single Lens Stereo with a Plenoptic Camera
* 1993: Analyzing and Recognizing Walking Figures in XYT
* 1993: Layered Representation for Motion Analysis
* 1993: Layered Representation for Motion Analysis
* 1993: Recovering Reflectance and Illumination in a World of Painted Polyhedra
* 1993: Representing Moving Images with Layers
* 1993: Verifying the Consistency of Shading Patterns and 3-D Structures
* 1994: Analyzing and Recognizing Walking Figures in XYT
* 1994: Analyzing Gait with Spatiotemporal Surfaces
* 1994: Apply Mid-Level Vision Techniques for Video Data Compression and Manipulation
* 1994: Mid-level vision: new directions in vision and video
* 1994: Representing Moving Images with Layers
* 1994: Representing Moving Images with Layers
* 1994: Spatio-Temporal Segmentation of Video Data
* 1995: Layered Representations for Vision and Video
* 1995: Perceptually Organized EM: A Framework for Motion Segmentation That Combines Information about Form and Motion
* 1996: Noise reduction system
* 1996: Noise Removal via Bayesian Wavelet Coring
* 1996: System for encoding image data into multiple layers representing regions of coherent motion and associated motion parameters
* 1996: Unified Mixture Framework for Motion Segmentation: Incorporating Spatial Coherence and Estimating the Number of Models, A
* 1999: Separating Reflections and Lighting Using Independent Components Analysis
* 1999: Separating reflections from images by use of independent component analysis
* 2001: How do Humans Determine Reflectance Properties under Unknown Illumination?
* 2001: Motion Without Movement
* 2001: Recognition of Surface Reflectance Properties from a Single Image under Unknown Real-World Illumination
* 2001: Statistics of Real-World Illumination
* 2001: Surface Reflectance Estimation and Natural Illumination Statistics
* 2001: Surface Reflectance Estimation and Natural Illumination Statistics
* 2002: Motion illusions as optimal percepts
* 2002: Recovering Intrinsic Images from a Single Image
* 2005: Motion magnification
* 2005: Recovering Intrinsic Images from a Single Image
* 2006: Estimating Intrinsic Component Images using Non-Linear Regression
* 2007: Learning Gaussian Conditional Random Fields for Low-Level Vision
* 2008: Human-assisted motion annotation
* 2009: Ground truth dataset and baseline evaluations for intrinsic image algorithms
* 2009: Retrographic sensing for the measurement of surface texture and shape
* 2009: Shape from Sheen
* 2010: Exploring features in a Bayesian framework for material recognition
* 2011: Microgeometry Capture using an Elastomeric Sensor
* 2011: Shape estimation in natural illumination
* 2012: Shapecollage: Occlusion-Aware, Example-Based Shape Interpretation
* 2013: Recognizing Materials Using Perceptually Inspired Features
* 2013: Sensing and Recognizing Surface Textures Using a GelSight Sensor
* 2014: Crisp Boundary Detection Using Pointwise Mutual Information
* 2015: Discovering states and transformations in image collections
* 2015: On the appearance of translucent edges
* 2015: SparkleVision: Seeing the world through random specular microfacets
* 2015: Talk abstract: Computational lighting design and band-sifting operators
* 2016: Visually Indicated Sounds
Includes: Adelson, E.H. Adelson, E.H.[Edward H.]
81 for Adelson, E.H.
Adelstein, B.D.
* 2000: Rotation and Direction Judgment from Visual Images Head-Slaved in Two and Three Degrees-of-Freedom