Angueira, C.[Cristina]
* 2019: Combining Object-Based Image Analysis with Topographic Data for Landform Mapping: A Case Study in the Semi-Arid Chaco Ecosystem, Argentina
Angueira, P.[Pablo]
* 2012: Next generation of broadcast multimedia services to mobile receivers in urban environments
Anguelov, D.[Dragomir]
* 2005: Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
* 2005: SCAPE: Shape Completion and Animation of People
* 2006: Object Pose Detection in Range Scan Data
* 2007: Contextual Identity Recognition in Personal Photo Albums
* 2008: Markov random field models for hair and face segmentation
* 2010: Google Street View: Capturing the World at Street Level
* 2014: Capturing Long-Tail Distributions of Object Subcategories
* 2014: Scalable Object Detection Using Deep Neural Networks
* 2015: Going deeper with convolutions
* 2016: Self-taught object localization with deep networks
* 2016: SSD: Single Shot MultiBox Detector
* 2017: 3D Bounding Box Estimation Using Deep Learning and Geometry
* 2018: PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation
* 2020: Improving 3D Object Detection Through Progressive Population Based Augmentation
* 2020: Scalability in Perception for Autonomous Driving: Waymo Open Dataset
* 2020: STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction
* 2020: SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
* 2020: VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation
* 2021: HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps
* 2021: Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
* 2021: Offboard 3D Object Detection from Point Cloud Sequences
* 2021: RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection
* 2021: SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation
* 2021: To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
* 2022: CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection
* 2022: Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining
* 2022: LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds
* 2022: LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
* 2022: Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving
* 2022: Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving
* 2022: PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds
* 2022: RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding
* 2022: SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
* 2023: 3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels
* 2023: GINA-3D: Learning to Generate Implicit Neural Assets in the Wild
* 2023: MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
* 2023: MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion
* 2023: NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
* 2023: Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving
Includes: Anguelov, D.[Dragomir] Anguelov, D.
39 for Anguelov, D.
Anguelov, R.[Roumen]
* 2008: Discrete Pulse Transform of Images
* 2008: Discrete Pulse Transform of images: Algorithm and applications
* 2010: LULU Operators and Discrete Pulse Transform for Multidimensional Arrays
Anguelova, M.
* 2012: Dielectric and Radiative Properties of Sea Foam at Microwave Frequencies: Conceptual Understanding of Foam Emissivity
* 2022: Experimental Study on Measuring Breaking-Wave Bubbles with LiDAR Remote Sensing, An
Includes: Anguelova, M. Anguelova, M.[Magdalena]
Anguelova, M.D.[Magdalena D.]
* 2019: Brightness Temperature Sensitivity to Whitecap Fraction at Millimeter Wavelengths
* 2021: Improving the Representation of Whitecap Fraction and Sea Salt Aerosol Emissions in the ECMWF IFS-AER
* 2022: Improving the Representation of Whitecap Fraction and Sea Salt Aerosol Emissions in the ECMWF IFS-AER
Anguera, M.T.[M. Teresa]
* 2009: Dominance detection in face-to-face conversations
* 2016: Gesture Recognition System for Detecting Behavioral Patterns of ADHD, A
Includes: Anguera, M.T.[M. Teresa] Anguera, M.T.
Anguera, X.[Xavier]
* 2007: Speaker Diarization for Conference Room: The UPC RT07s Evaluation System
* 2007: SRI-ICSI Spring 2007 Meeting and Lecture Recognition System, The
Anguh, M.M.
* 1993: Truncation Method for Computing Walsh Transforms with Applications to Image Processing, A
* 1996: 2-Dimensional Inplace Truncation Walsh Transform Method, A
* 1997: Quadtree and Symmetry in FFT Computation of Digital Images
Anguita, D.[Davide]
* 1995: Heterogeneous and Reconfigurable Machine-Vision System, A
* 1995: Neural Structures for Visual-Motion Tracking
* 2014: Unlabeled patterns to tighten Rademacher complexity error bounds for kernel classifiers
* 2016: PAC-bayesian analysis of distribution dependent priors: tighter risk bounds and stability analysis
* 2017: Differential privacy and generalization: Sharper bounds with applications
* 2017: Support Vector Motion Clustering
Includes: Anguita, D.[Davide] Anguita, D.
Anguita, M.
* 2009: Optimization Strategies for High-Performance Computing of Optical-Flow in General-Purpose Processors
Angulakshmi, M.
* 2017: Automated brain tumour segmentation techniques: A review
* 2018: Walsh Hadamard kernel-based texture feature for multimodal MRI brain tumour segmentation
Angulo Bustos, H.I.[Harold Ivan]
* 2009: MAP algorithm for AVO seismic inversion based on the mixed (L2, non-L2) norms to separate primary and multiple signals in slowness space, A
Angulo Umanna, P.[Pedro]
* 2020: Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals
Includes: Angulo Umanna, P.[Pedro] Angulo-Umanna, P.[Pedro]
Angulo Vinuesa, X.[Xabier]
* 2017: Distributed Temperature Measurement in a Self-Burning Coal Waste Pile through a GIS Open Source Desktop Application
Includes: Angulo Vinuesa, X.[Xabier] Angulo-Vinuesa, X.[Xabier]
Angulo, A.R.[Angel Ruiz]
* 2021: Dynamical Structure of a Warm Core Ring as Inferred from Glider Observations and Along-Track Altimetry, The
Angulo, C.
* 2005: Unified dual for bi-class SVM approaches
* 2006: Dual unification of bi-class support vector machine formulations
* 2010: Continuous procrustes analysis to learn 2D shape models from 3D objects
* 2011: Building up child-robot relationship for therapeutic purposes: From initial attraction towards long-term social engagement
* 2012: BoVDW: Bag-of-Visual-and-Depth-Words for gesture recognition
* 2013: study on output normalization in multiclass SVMs, A
* 2014: Continuous Generalized Procrustes analysis
* 2014: Probability-based Dynamic Time Warping and Bag-of-Visual-and-Depth-Words for Human Gesture Recognition in RGB-D
* 2014: Real-time video stabilization without phantom movements for micro aerial vehicles
* 2014: Subspace Procrustes Analysis
* 2015: Gesture learning and execution in a humanoid robot via dynamic movement primitives
* 2016: real-time Human-Robot Interaction system based on gestures for assistive scenarios, A
* 2017: Subspace Procrustes Analysis
* 2018: decision support tool using Order Weighted Averaging for conference review assignment, A
Includes: Angulo, C. Angulo, C.[Cecilio]
14 for Angulo, C.
Angulo, I.
* 2013: Telematics system for the intelligent transport and distribution of medicines
Angulo, J.[Jesus]
* 2003: Automatic Detection of Specular Reflectance in Colour Images Using the MS Diagram
* 2003: Color segmentation by ordered mergings
* 2005: Mathematical Morphology in Polar-Logarithmic Coordinates. Application to Erythrocyte Shape Analysis
* 2007: Modelling and segmentation of colour images in polar representations
* 2007: Morphological colour operators in totally ordered lattices based on distances: Application to image filtering, enhancement and analysis
* 2008: Spatially-Variant Directional Mathematical Morphology Operators Based on a Diffused Average Squared Gradient Field
* 2009: Cyclic Mathematical Morphology in Polar-Logarithmic Representation
* 2009: From Scalar-Valued Images to Hypercomplex Representations and Derived Total Orderings for Morphological Operators
* 2009: Morphological Exploration of Shape Spaces
* 2009: Spatially-Variant Anisotropic Morphological Filters Driven by Gradient Fields
* 2009: Structure Tensor of Colour Quaternion Image Representations for Invariant Feature Extraction
* 2010: Comparison of orientated and spatially variant morphological filters vs mean/median filters for adaptive image denoising
* 2010: Geometric algebra colour image representations and derived total orderings for morphological operators: Part I: Colour quaternions
* 2010: Hit-or-Miss Transform in Multivariate Images
* 2010: Morphological processing of hyperspectral images using kriging-based supervised ordering
* 2010: Pseudo-morphological Image Diffusion Using the Counter-Harmonic Paradigm
* 2010: Robust iris segmentation on uncalibrated noisy images using mathematical morphology
* 2010: Statistical Shape Modeling Using Morphological Representations
* 2010: Structurally adaptive mathematical morphology on nonlinear scale-space representations
* 2011: Advanced statistical matrices for texture characterization: Application to DNA chromatin and microtubule network classification
* 2011: Anisotropic Morphological Filters With Spatially-Variant Structuring Elements Based on Image-Dependent Gradient Fields
* 2011: Aorta segmentation using the watershed algorithm for an augmented reality system in laparoscopic surgery
* 2011: Frequency domain regularization of d-dimensional structure tensor-based directional fields
* 2011: Hypercomplex Mathematical Morphology
* 2011: Non-linearization of free Schrodinger equation and pseudo-morphological complex diffusion operators
* 2011: Stochastic Minimum Spanning Forest approach for spectral-spatial classification of hyperspectral images, A
* 2011: Supervised Ordering in I!R^p: Application to Morphological Processing of Hyperspectral Images
* 2012: Efficient statistical/morphological cell texture characterization and classification
* 2012: Morphological operators for images valued on the sphere
* 2012: Spatially adaptive PDEs for robust image sharpening
* 2012: Spectral-Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach
* 2013: Automatic Detection of Optic Disc Based on PCA and Mathematical Morphology
* 2013: Classification of hyperspectral images by tensor modeling and additive morphological decomposition
* 2013: Learning Framework for Morphological Operators Using Counter-Harmonic Mean, A
* 2013: Mathematical Morphology for Real-Valued Images on Riemannian Manifolds
* 2013: Morphological Bilateral Filtering
* 2013: On Nonlocal Mathematical Morphology
* 2013: Stochastic Morphological Filtering and Bellman-Maslov Chains
* 2013: Towards Morphological Image Regularization Using the Counter-Harmonic Mean
* 2014: Computing Histogram of Tensor Images Using Orthogonal Series Density Estimation and Riemannian Metrics
* 2014: Conditional Toggle Mappings: Principles and Applications
* 2014: Image adapted total ordering for mathematical morphology on multivariate images
* 2014: Image processing for materials characterization: Issues, challenges and opportunities
* 2014: Probability density function of object contours using regional regularized stochastic watershed
* 2014: Riemannian mathematical morphology
* 2014: Spatially-Variant Area Openings for Reference-Driven Adaptive Contour Preserving Filtering
* 2015: Bagging Stochastic Watershed on Natural Color Image Segmentation
* 2015: max,min)-convolution and Mathematical Morphology
* 2015: Morphological PDE and Dilation/Erosion Semigroups on Length Spaces
* 2015: Morphological Scale-Space Operators for Images Supported on Point Clouds
* 2015: N-ary Mathematical Morphology
* 2015: Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing
* 2016: Bayesian Approach to Linear Unmixing in the Presence of Highly Mixed Spectra, A
* 2016: deep spatial/spectral descriptor of hyperspectral texture using scattering transform, A
* 2016: Hyperspectral image classification with support vector machines on kernel distribution embeddings
* 2016: Irregularity Issue of Total Orders on Metric Spaces and Its Consequences for Mathematical Morphology, The
* 2016: Morphological Principal Component Analysis for Hyperspectral Image Analysis
* 2017: Colour normalization of fundus images based on geometric transformations applied to their chromatic histogram
* 2017: Kernel Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices
* 2017: Morphological Semigroups and Scale-Spaces on Ultrametric Spaces
* 2017: Morphological Texture Description from Multispectral Skin Images in Cosmetology
* 2017: Retinal network characterization through fundus image processing: Significant point identification on vessel centerline
* 2018: Multiscale estimation of multiple orientations based on morphological directional openings
* 2018: Tropical and Morphological Operators for Signals on Graphs
* 2019: Levellings based on spatially adaptive scale spaces using local image features
* 2020: Inhomogeneous morphological PDEs for robust and adaptive image shock filters
* 2022: Adaptive Anisotropic Morphological Filtering Based on Co-Circularity of Local Orientations
* 2022: Differential Invariants for SE(2)-Equivariant Networks
* 2022: Fully Trainable Gaussian Derivative Convolutional Layer
* 2022: Learnable Empirical Mode Decomposition based on Mathematical Morphology
* 2022: Learning deep morphological networks with neural architecture search
* 2023: Genharris-Resnet: A Rotation Invariant Neural Network Based on Elementary Symmetric Polynomials
Includes: Angulo, J.[Jesus] Angulo, J.[Jesús] Angulo, J. Angulo, J.[Jesùs] Angúlo, J.[Jesus]
72 for Angulo, J.
Angulo, J.M.[Jose M.]
* 2006: Synthesis of image deformation strategies
Includes: Angulo, J.M.[Jose M.] Angulo, J.M.[José M.]
Angulo, R.A.R.[Rafael Augusto Rocha]
* 2020: Novel Set of Moment Invariants for Pattern Recognition Applications Based on Jacobi Polynomials, A
Angulu, R.[Raphael]
* 2017: Age Estimation with Local Ternary Directional Patterns
* 2018: Gender Classification Based on Facial Shape and Texture Features
Anguraj, K.
* 2021: Early detection of melanoma images using gray level co-occurrence matrix features and machine learning techniques for effective clinical diagnosis
Angus, A.[Alex]
* 2022: Smart City Intersections: Intelligence Nodes for Future Metropolises