Index for pogg

Poggenhans, F.[Fabian] Co Author Listing * Making Bertha Cooperate: Team AnnieWAY's Entry to the 2016 Grand Cooperative Driving Challenge

Poggere, G.C.[Giovana Clarice] Co Author Listing * Proximal Sensing and Digital Terrain Models Applied to Digital Soil Mapping and Modeling of Brazilian Latosols (Oxisols)

Poggi, A.[Agostino] Co Author Listing * JaNeT: A Framework for Flexible Web-Content Retrieval
* modified modular eigenspace approach to face recognition, A
Includes: Poggi, A.[Agostino] Poggi, A.

Poggi, C.A.O.[Cesar Augusto Olivares] Co Author Listing * Talking with signs A simple method to detect nouns and numbers in a non-annotated signs language corpus
Includes: Poggi, C.A.O.[Cesar Augusto Olivares] Poggi, C.A.O.[CÚsar Augusto Olivares]

Poggi, F.[Flavio] Co Author Listing * Coexistence of a Marginal Mountain Community with Large-Scale and Low Kinematic Landslide: The Intensive Monitoring Approach
* Landslide-Induced Damage Probability Estimation Coupling InSAR and Field Survey Data by Fragility Curves
* Persistent Scatterer Interferometry and Statistical Analysis of Time-Series for Landslide Monitoring: Application to Santo Stefano d'Aveto (Liguria, NW Italy)
Includes: Poggi, F.[Flavio] Poggi, F.[Francesco]

Poggi, G. Co Author Listing * Bayesian Filtering Technique for SAR Interferometric Phase Fields, A
* Benchmarking Framework for SAR Despeckling
* binary tree-structured MRF model for multispectral satellite image segmentation, A
* Comparative Analysis of Forgery Detection Algorithms, A
* Comparison of Flat and Object-Based Transform Coding Techniques for the Compression of Multispectral Images, A
* Compression of multispectral images by address-predictive vector quantization
* Compression of Multispectral Images by Spectral Classification and Transform Coding
* Compression of Multispectral Images by Three-Dimensional SPIHT Algorithm
* Compression of SAR Data Through Range Focusing and Variable-Rate Vector Quantization
* Compression of SAR raw data through range focusing and variable-rate trellis-coded quantization
* Copy-move forgery detection based on PatchMatch
* Costs and Advantages of Object-Based Image Coding with Shape-Adaptive Wavelet Transform
* Costs and Advantages of Shape-Adaptive Wavelet Transform for Region-Based Image Coding
* deep learning approach for iris sensor model identification, A
* Deep learning in the ultrasound evaluation of neonatal respiratory status
* Detection of microcalcifications clusters in mammograms through TS-MRF segmentation and SVM-based classification
* Embedded Zerotree Wavelet Coding of Multispectral Images
* Evaluating the Effects of MJPEG Compression on Motion Tracking in Metro Railway Surveillance
* Evaluation of Residual-Based Local Features for Camera Model Identification
* Exploiting Patch Similarity for SAR Image Processing: The nonlocal paradigm
* Generalized-cost-measure-based address-predictive vector quantization
* Guided Patchwise Nonlocal SAR Despeckling
* Hierarchical Mrf-Based Segmentation of Remote-Sensing Images
* Hierarchical Texture-Based Segmentation of Multiresolution Remote-Sensing Images
* Image Segmentation by Tree-Structured Markov Random Fields
* InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration
* Kronecker-Product Gain-Shape Vector Quantization for Multispectral and Hyperspectral Image-Coding
* Local contrast phase descriptor for fingerprint liveness detection
* Low-complexity compression of multispectral images based on classified transform coding
* Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images
* Multispectral-image coding by spectral classification
* Multispectral-Image Coding by Vector Quantization with Kronecker-Product Representation
* Nonlocal CNN SAR Image Despeckling
* Offset-Compensated Nonlocal Filtering of Interferometric Phase, The
* PatchMatch-Based Dense-Field Algorithm for Video Copy-Move Detection and Localization, A
* Perceptual quality-preserving black-box attack against deep learning image classifiers
* PRNU-Based Forgery Localization in a Blind Scenario
* Pruned tree-structured vector quantization of medical images with segmentation and improved prediction
* Region-Based Transform Coding of Multispectral Images
* Region-oriented compression of multispectral images by shape-adaptive wavelet transform and SPIHT
* Reliable Order-Statistics-Based Approximate Nearest Neighbor Search Algorithm, A
* Segmentation of remote-sensing images by supervised TS-MRF
* Self-organizing codebooks for trellis-coded VQ
* Sequential Bayesian segmentation of remote sensing images
* SPIHT-like image coder based on the contourlet transform, A
* Supervised segmentation of remote sensing images based on a tree-structured MRF model
* Tree-Structured Markov Random Field Model for Bayesian Image Segmentation, A
* Tree-structured product-codebook vector quantization
* Using iris and sclera for detection and classification of contact lenses
Includes: Poggi, G. Poggi, G.[Giovanni]
49 for Poggi, G.

Poggi, I. Co Author Listing * Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing
* Communicative System of Touch. Alphabet, Lexicon, and Norms of Use, The
* Embodied Morphemes of Gaze, The
* Gestural Mind Markers in ECAs
* Multimodality and Gestures in the Teacher's Communication
* Towards the Parody Machine. Qualitative Analysis and Cognitive Processes in the Parody of a Politician
Includes: Poggi, I. Poggi, I.[Isabella]

Poggi, J.M.[Jean Michel] Co Author Listing * Variable selection using random forests
Includes: Poggi, J.M.[Jean Michel] Poggi, J.M.[Jean-Michel]

Poggi, M.[Matteo] Co Author Listing * Beyond Local Reasoning for Stereo Confidence Estimation with Deep Learning
* Conditional Reconstruction for Open-Set Semantic Segmentation
* Continual Adaptation for Deep Stereo
* Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired
* Deep Stereo Fusion: Combining Multiple Disparity Hypotheses with Deep-Learning
* Depth Restoration in Under-Display Time-of-Flight Imaging
* Distilled Semantics for Comprehensive Scene Understanding from Videos
* Efficient Confidence Measures for Embedded Stereo
* Enabling Image-Based Streamflow Monitoring at the Edge
* Enabling monocular depth perception at the very edge
* Enhancing Self-Supervised Monocular Depth Estimation with Traditional Visual Odometry
* Evaluation of variants of the SGM algorithm aimed at implementation on embedded or reconfigurable devices
* Even More Confident Predictions with Deep Machine-Learning
* Generative Adversarial Networks for Unsupervised Monocular Depth Prediction
* Geometry Meets Semantics for Semi-supervised Monocular Depth Estimation
* Guided Stereo Matching
* Improving the reliability of 3D people tracking system by means of deep-learning
* Learning a confidence measure in the disparity domain from O(1) features
* Learning a General-Purpose Confidence Measure Based on O(1) Features and a Smarter Aggregation Strategy for Semi Global Matching
* Learning from scratch a confidence measure
* Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge
* Learning Monocular Depth Estimation with Unsupervised Trinocular Assumptions
* Learning optical flow from still images
* Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps
* Leveraging a weakly adversarial paradigm for joint learning of disparity and confidence estimation
* Matching-space Stereo Networks for Cross-domain Generalization
* Monocular Depth Estimation Challenge, The
* Monocular Depth Perception on Microcontrollers for Edge Applications
* Neural Disparity Refinement for Arbitrary Resolution Stereo
* On the Confidence of Stereo Matching in a Deep-Learning Era: A Quantitative Evaluation
* On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey
* On the Uncertainty of Self-Supervised Monocular Depth Estimation
* Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions
* Open Challenges in Deep Stereo: the Booster Dataset
* Quantitative Evaluation of Confidence Measures in a Machine Learning World
* Real-Time Self-Adaptive Deep Stereo
* Real-Time Self-Supervised Monocular Depth Estimation Without GPU
* Reversing the Cycle: Self-supervised Deep Stereo Through Enhanced Monocular Distillation
* RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation
* ScanNeRF: a Scalable Benchmark for Neural Radiance Fields
* Self-adapting Confidence Estimation for Stereo
* Sensor-Guided Optical Flow
* Sparsity Agnostic Depth Completion
* Unsupervised Adaptation for Deep Stereo
* Unsupervised Domain Adaptation for Depth Prediction from Images
Includes: Poggi, M.[Matteo] Poggi, M.[Marcus] Poggi, M.
45 for Poggi, M.

Poggiali, V. Co Author Listing * High-Resolution Topography of Titan Adapting the Delay/Doppler Algorithm to the Cassini RADAR Altimeter Data
* Radar Sounding Using the Cassini Altimeter: Waveform Modeling and Monte Carlo Approach for Data Inversion of Observations of Titan's Seas

Poggianti, E. Co Author Listing * System for Real-Time Measurement of the Brachial Artery Diameter in B-Mode Ultrasound Images, A

Poggio, L.[Laura] Co Author Listing * Comparison of FOSS4G Supported Equal-Area Projections Using Discrete Distortion Indicatrices
* Spatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland

Poggio, T.[Tomaso] Co Author Listing * Home Page.
* email: Poggio, T.[Tomaso]: poggio AT csail mit edu
* 3D Object Recognition: Symmetry and Virtual Views
* Analog VLSI Systems for Image Acquisition and Fast Early Vision Processing
* Attentional Selection for Object Recognition: A Gentle Way
* Attentive processing improves object recognition
* Automatic Person Recognition by Acoustic and Geometric Features
* Bandpass Channels, Zero-Crossings, and Early Visual Information Processing
* Biologically Inspired System for Action Recognition, A
* Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions
* Boosting a Biologically Inspired Local Descriptor for Geometry-free Face and Full Multi-view 3D Object Recognition
* Bootstrapping Algorithm for Learning Linear Models of Object Classes, A
* Bringing the Grandmother Back into the Picture: A Memory-Based View of Pattern Recognition
* Component-based Face Detection
* Component-based Framework for Face Detection and Identification, A
* Computational Models of Object Recognition in Cortex: A Review
* Computer method and apparatus for matching between line drawings
* Contour-Based Moving Object Detection and Tracking, A
* Correlation Kernel Reconstruction and Superresolution
* Deep Learning for Seismic Inverse Problems: Toward the Acceleration of Geophysical Analysis Workflows
* Detecting Blobs as Textons in Natural Images
* Detecting Textons and Texture Boundaries in Natural Images
* Direction Estimation of Pedestrian from Images
* Direction estimation of pedestrian from multiple still images
* Early Visual Learning
* Evaluation of sets of oriented and non-oriented receptive fields as local descriptors
* Examining high level neural representations of cluttered scenes
* Example Based Image Analysis and Synthesis
* Example-based image analysis and synthesis using pixelwise correspondence
* Example-Based Learning for View-Based Human Face Detection
* Example-Based Object Detection in Images by Components
* Face Detection in Still Gray Images
* Face Recognition from One Example View
* Face Recognition Through Geometrical Features
* Face Recognition with Support Vector Machines: Global versus Component-based Approach
* Face recognition: component-based versus global approaches
* Face Recognition: Features versus Templates
* Face Verification for Real-Time Applications
* Fast Perceptual Learning in Visual Hyperacuity
* Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
* Feature Selection for Face Detection
* Forest of Sensors, A
* From primal templates to invariant recognition
* Full-body person recognition system
* General Framework for Object Detection, A
* Green Theorems and Qualitative Properties of the Optical Flow
* Hierarchical classification and feature reduction for fast face detection with support vector machines
* hierarchical model of peripheral vision, A
* Hierarchical models of object recognition in cortex
* Hierarchical Morphable Models
* HMDB: A large video database for human motion recognition
* Hyperbf Networks For Real Object Recognition
* Image Representations for Visual Learning
* Image Synthesis from a Single Example Image
* integrated model of visual attention using shape-based features, An
* Introduction to the Special Section on Learning in Computer Vision
* Introduction: Learning and Vision at CBCL
* Invariant representation for blur and down-sampling transformations
* Learning and vision machines
* Learning Generic Invariances in Object Recognition: Translation and Scale
* Learning human face detection in cluttered scenes
* Learning Networks for Face Analysis and Synthesis
* Learning to See
* Learning-Based Approach to Estimation of Morphable Model Parameters
* Learning-Based Approach to Real Time Tracking and Analysis of Faces
* Linear Object Classes and Image Synthesis from a Single Example Image
* Machine Learning, Machine Vision, and the Brain
* Method and apparatus for classifying and identifying images
* MIT Progress in Understanding Images
* Model-Based Matching by Linear Combinations of Prototypes
* Model-Based Matching of Line Drawings by Linear Combinations of Prototypes
* Models of Object Recognition
* Morphable Models for the Analysis and Synthesis of Complex Motion Patterns
* Multidimensional Morphable Models
* Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes
* Multiview Face Identification Model With No Geometric Constraints, A
* Network that Learns to Recognize 3D Objects, A
* Networks for Approximation and Learning
* Networks that Learn for Image Understanding
* Neurons That Confuse Mirror-Symmetric Object Views
* new biologically motivated framework for robust object recognition, A
* Novel Approach to Graphics, A
* Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation
* Object Recognition with Features Inspired by Visual Cortex
* On the Role of Object-Specific Features for Real World Object Recognition in Biological Vision
* Optical Flow from 1-D Correlation: Application to a Simple Time-to-Crash Detector
* Optimal Scale for Edge Detection, An
* Oriented filters for object recognition: an empirical study
* Parallel Optical Flow Using Local Voting
* Pattern Classification Approach to Dynamical Object Detection, A
* Pedestrian Detection Using Wavelet Templates
* People Recognition in Image Sequences by Supervised Learning
* Perceptual Evaluation of Video-Realistic Speech
* Progress in Image Understanding at MIT
* Quantification and Classification of Locomotion Patterns by Spatio-Temporal Morphable Models
* Real Time Analysis and Tracking of Mouths for Expression Recognition
* Recognition and Structure from one 2D Model View: Observations on Prototypes, Object Classes and Symmetries
* Recognition system, particularly for recognising people
* Recognizing Expressions by Direct Estimation of the Parameters of a Pixel Morphable Model
* Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
* Regularization Theory and Neural Networks Architectures
* Regularization Theory and Shape Constraints
* Regularized Solution to Edge Detection, A
* Representations in High-Level Vision: Reassessing the Inverse Optics Paradigm
* Robust Object Recognition with Cortex-Like Mechanisms
* Rotation Invariant Object Recognition from One Training Example
* Spatial Reference Frames for Object Recognition Tuning for Rotations in Depth
* Spatiotemporal Interpolation in Vision
* Statistical Learning Theory: A Primer
* Symmetric 3D Objects are an Easy Case for 2D Object Recognition
* Symmetry-adapted representation learning
* Synthesis and Recognition of Biological Motion Patterns Based on Linear Superposition of Prototypical Motion Sequences
* Synthesis of Visual Modules from Examples: Learning Hyperacuity
* Template Matching: Matched Spatial Filters And Beyond
* Theory of Networks for Approximation and Learning, A
* Trainable Modular Vision System, A
* Trainable Object Detection System, A
* Trainable Pedestrian Detection
* trainable pedestrian detection system, A
* Trainable System for Object Detection, A
* Trainable System for People Detection, A
* View-Based Models of 3D Object Recognition and Class-Specific Invariances
* View-Based Strategies for 3D Object Recognition
* Visual Algorithms
* Visual Categorization: How the Monkey Brain Does It
* Visual Hyperacuity: Spatiotemporal Interpolation in Human Vision
* Visual Integration and Detection of Discontinuities: The Key Role of Intensity Edges
* VSAM at the MIT Media laboratory and CBCL: Learning and Understanding Action in Video Imagery
* VSAM at the MIT Media Laboratory and CBCL: Learning and Understanding Action in Video Imagery PI Report 1998
Includes: Poggio, T.[Tomaso] Poggio, T. Poggio, T.[Tommy]
129 for Poggio, T.

Poggio, T.A. Co Author Listing * Against Quantitative Optical Flow
* Analysis of a Cooperative Stereo Algorithm
* Applications of Artificial Neural Networks to Image Processing
* Computational Theory of Human Stereo Vision, A
* Computational Vision and Regularization Theory
* Computer method and apparatus for video conferencing
* Cooperative Computation of Stereo Disparity
* Early Vision: From Computational Structure to Algorithms and Parallel Hardware
* Facial analysis and synthesis using image-based models
* Fingerprint Theorems for Zero-Crossings
* Fingerprints Theorems
* Generalized Ordering Constraint for Stereo Correspondence, A
* Ill-Posed Problems and Regularization Analysis in Early Vision
* Ill-Posed Problems in Early Vision
* Integration of Vision Modules and Labeling of Surface Discontinuities
* Learning a Color Algorithm from Examples
* Learning of Visual Modules from Examples: A Framework for Understanding Adaptive Visual Performance
* Motion Field and Optical Flow: Differences and Qualitative Properties
* Motion Field and Optical Flow: Qualitative Properties
* On Edge Detection
* On Parallel Stereo
* Parallel Algorithm for Real-time Computation of Optical Flow, A
* Parallel Integration of Vision Modules
* Parallel Motion Algorithm Consistent with Psychophysics and Physiology, A
* Parallel Optical Flow Computation
* Probabilistic Solution of Ill-Posed Problems in Computational Vision
* Qualitative Information in the Optical Flow
* Scaling and Fingerprint Theorems for Zero-Crossings
* Scaling Theorems for Zero-Crossings
* Synthesizing a Color Algorithm from Examples
* Theory of Human Stereo Vision, A
* Towards an Example-Based Image Compression Architecture for Video-Conferencing
* Trainable videorealistic speech animation
* Vision by Man and Machine
* Visual Speech Synthesis by Morphing Visemes
Includes: Poggio, T.A. Poggio, T.A.[Tomaso A.] Poggio, T.A.[Tomas A.]
35 for Poggio, T.A.

Index for "p"

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