Index for govi

Govi, D.[David] * 2024: From Space to Field: Combining Satellite, UAV and Agronomic Data in an Open-Source Methodology for the Validation of NDVI Maps in Precision Viticulture

Govier, D.[Daniel] * 2007: Statistical Model of Head Asymmetry in Infants with Deformational Plagiocephaly, A

Govil, H.[Himanshu] * 2019: PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground Biomass Estimation
* 2020: Spaceborne Multifrequency PolInSAR-Based Inversion Modelling for Forest Height Retrieval
* 2023: Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm

Govil, K.[Kinshuk] * 2020: Preliminary Results from a Wildfire Detection System Using Deep Learning on Remote Camera Images

Govil, M.C.[Mahesh C.] * 2019: SOD-CED: salient object detection for noisy images using convolution encoder-decoder

Govil, S.[Shitij] * 2022: Using Hyperspatial LiDAR and Multispectral Imaging to Identify Coastal Wetlands Using Gradient Boosting Methods

Govind, A.[Ajit] * 2015: Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites

Govind, D. * 2017: Significance of incorporating chrominance information for effective color-to-grayscale image conversion

Govind, H.[Harsh] * 2022: RDQS: A Geospatial Data Analysis System for Improving Roads Directionality Quality

Govind, M.[Meghna] * 2022: Deep Learning Based EEG Analysis Using Video Analytics
* 2023: Indoor dataset for Person Re-Identification: Exploring the impact of backpacks
Includes: Govind, M.[Meghna] Govind, M.[Mahesh]

Govinda Raj, A. * 2019: Single Snapshot Super-Resolution DOA Estimation for Arbitrary Array Geometries

Govindan, A.[Anupama] * 1998: Independent Component Analysis Applied to Electrogram Classification During Atrial Fibrillation

Govindan, V.[Vishnupriya] * 2005: Active Optical Lattice Filters

Govindan, V.K. * 1987: Pattern Adaptive Thinning Algorithm, A
* 1990: Character Recognition: A Review
* 2006: Computationally efficient filtered-backprojection algorithm for tomographic image reconstruction using Walsh transform
* 2008: Robust Estimation Approach for NL-Means Filter
* 2012: Image quality-augmented intramodal palmprint authentication
* 2015: Optimizing visual dictionaries for effective image retrieval

Govindaraj, P. * 2018: Hexagonal Grid based triangulated feature descriptor for shape retrieval
* 2019: new 2D shape retrieval scheme based on phase congruency and histogram of oriented gradients, A

Govindaraj, V.[Vishnuvarthanan] * 2014: complete automated algorithm for segmentation of tissues and identification of tumor region in T1, T2, and FLAIR brain images using optimization and clustering techniques, A
* 2017: fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation, A
* 2019: Unsupervised learning-based clustering approach for smart identification of pathologies and segmentation of tissues in brain magnetic resonance imaging
* 2020: Automated unsupervised learning-based clustering approach for effective anomaly detection in brain magnetic resonance imaging (MRI)

Govindarajalou, R.[Ramkumar] * 2018: Enhancement approach for liver lesion diagnosis using unenhanced CT images

Govindarajan, L.N.[Lakshmi Narasimhan] * 2017: Hand action detection from ego-centric depth sequences with error-correcting Hough transform
* 2017: Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups
* 2018: Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups

Govindarajan, S.[Shrisudhan] * 2022: Synthesizing Light Field Video from Monocular Video

Govindarajan, V. * 2017: Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers

Govindaraju, D.[Dinesh] * 2004: Person Tracking from a Dynamic Balancing Platform

Govindaraju, V. * 1989: Analysis of Textual Images Using the Hough Transform
* 1989: Locating Human Faces in Newspaper Photographs
* 1990: computational model for face location, A
* 1991: Separating Handwritten Text from Non-Textual Interference
* 1992: Caption-Aided Face Location In Newspaper Photographs
* 1992: Computational Model for Face Location Based on Cognitive Principles, A
* 1993: Interpretation of Handwritten Addresses in US Mail Stream
* 1994: Generating Manifold Samples from a Handwritten Word
* 1994: Use of Collateral Text in Image Interpretation
* 1995: Image quality and readability
* 1995: Zero crossings of a non-orthogonal wavelet transform for object location
* 1996: Character Image-Enhancement by Selective Region-Growing
* 1996: Efficient Chain Code Based Image Manipulation for Handwritten Word Recognition
* 1996: Holistic Handwritten Word Recognition Using Temporal Features Derived from Off-Line Images
* 1996: Locating Human Faces in Photographs
* 1996: Reading Handwritten Phrases on US Census Forms
* 1996: Recognition of Handwritten Phrases as Applied to Street Name Images
* 1996: Segmentation and Recognition Strategy for Handwritten Phrases, A
* 1997: Contour-Based Image Preprocessing for Holistic Handwritten Word Recognition
* 1997: Hover System for Rapid Holistic Verification of Off-Line Handwritten Phrases, The
* 1997: Lexicon Driven Approach to Handwritten Word Recognition for Real-Time Applications, A
* 1997: Pruning Large Lexicons Using Generalized Word Shape Descriptors
* 1997: Segmentation and Recognition of Connected Handwritten Numeral Strings
* 1998: Handwritten Phrase Recognition As Applied To Street Name Images
* 1998: Methodology for Deriving Probabilistic Correctness Measures from Recognizers, A
* 1998: Postal Reply Card Processing
* 1999: architecture for handwritten text recognition systems, An
* 1999: Chaincode Contour Processing for Handwritten Word Recognition
* 1999: Holistic Verification of Handwritten Phrases
* 1999: Local reference lines for handwritten phrase recognition
* 1999: Methodology for Mapping Scores to Probabilities, A
* 1999: Postprocessing of Recognized Strings Using Nonstationary Markovian Models
* 1999: Recognition of Strings Using Non-stationary Markovian Models: An Application to ZIP Code Recognition
* 2000: Active Character Recognition using A*-like Algorithm
* 2000: Holistic recognition of handwritten character pairs
* 2000: OCR in a Hierarchical Feature Space
* 2000: Overview of Run-Length Encoding of Handwritten Word Images, An
* 2000: Using Lexical Similarity in Handwritten Word Recognition
* 2001: Active digit classifiers: a separability optimization approach to emulate cognition
* 2001: Building Skeletal Graphs for Structural Feature Extraction on Handwriting Images
* 2001: Equivalence of Different Methods for Slant and Skew Corrections in Word Recognition Applications
* 2001: Probabilistic model for segmentation based word recognition with lexicon
* 2001: Role of Holistic Paradigms in Handwritten Word Recognition, The
* 2001: Syntactic methodology of pruning large lexicons in cursive script recognition
* 2001: Truthing, testing and evaluation issues in complex systems
* 2002: Document image analysis: a primer
* 2002: Improved k-nearest neighbor classification
* 2002: Large scale address recognition systems: Truthing, testing, tools, and other evaluation issues
* 2002: Medical word recognition using a computational semantic lexicon
* 2002: On the Dependence of Handwritten Word Recognizers on Lexicons
* 2002: Performance prediction for handwritten word recognizers and its application to classifier combination
* 2002: Separating text and background in degraded document images: A comparison of global thresholding techniques for multi-stage thresholding
* 2002: Stochastic Model Combining Discrete Symbols and Continuous Attributes and Its Application to Handwriting Recognition, A
* 2002: Transcript mapping for historic handwritten document images
* 2002: Use of adaptive segmentation in handwritten phrase recognition
* 2002: Use of Lexicon Density in Evaluating Word Recognizers
* 2003: Feature Extraction Using a Chaincoded Contour Representation of Fingerprint Images
* 2003: On the Correlation of Image Size to System Accuracy in Automatic Fingerprint Identification Systems
* 2003: Postal address block location by contour clustering
* 2003: Skew detection for complex document images using fuzzy runlength
* 2003: Text-image separation in Devanagari documents
* 2004: Direct Image Matching by Dynamic Warping
* 2004: DL Architecture for Indic Scripts
* 2004: Document Analysis Systems for Digital Libraries: Challenges and Opportunities
* 2004: Fast handwriting recognition for indexing historical documents
* 2004: Historical document image enhancement using background light intensity normalization
* 2004: Line separation for complex document images using fuzzy runlength
* 2004: Systematic Approach for Feature Extraction in Fingerprint Images, A
* 2004: Tools for enabling digital access to multi-lingual Indic documents
* 2005: Challenges in OCR of Devanagari documents
* 2005: Combining matching scores in identification model
* 2005: comparative study on the consistency of features in on-line signature verification, A
* 2005: Exploring Similarity Measures for Biometric Databases
* 2005: GP-based secondary classifiers
* 2005: human interactive proof algorithm using handwriting recognition, A
* 2005: Indexing Biometric Databases Using Pyramid Technique
* 2005: lexicon reduction strategy in the context of handwritten medical forms, A
* 2005: minutia-based partial fingerprint recognition system, A
* 2005: Multi-scale techniques for document page segmentation
* 2005: new feature ranking method in a HMM-based handwriting recognition system, A
* 2005: Novel Approaches for Minutiae Verification in Fingerprint Images
* 2005: Pre-processing methods for handwritten Arabic documents
* 2005: Probabilistic Approach to Semantic Face Retrieval System, A
* 2005: Segmentation and pre-recognition of Arabic handwriting
* 2005: Similarity-driven sequence classification based on support vector machines
* 2005: Text extraction from gray scale historical document images using adaptive local connectivity map
* 2006: chaincode based scheme for fingerprint feature extraction, A
* 2006: Classifier Combination Types for Biometric Applications
* 2006: Competitive Mixtures of Simple Neurons
* 2006: Design and Comparison of Segmentation Driven and Recognition Driven Devanagari OCR
* 2006: Extraction of Handwritten Text from Carbon Copy Medical Form Images
* 2006: Fingerprint Image Enhancement Based on Skin Profile Approximation
* 2006: Hidden Markov Models Combining Discrete Symbols and Continuous Attributes in Handwriting Recognition
* 2006: Identifying Handwritten Text in Mixed Documents
* 2006: K-plet and Coupled BFS: A Graph Based Fingerprint Representation and Matching Algorithm
* 2006: Offline Arabic Handwriting Recognition: A Survey
* 2006: Singularity Preserving Fingerprint Image Adaptive Filtering
* 2007: Facial Expression Biometrics Using Tracker Displacement Features
* 2007: Fingerprint enhancement using STFT analysis
* 2007: Handwritten Carbon Form Preprocessing Based on Markov Random Field
* 2007: Introduction to the Special Issue on Recent Advances in Biometric Systems
* 2007: Iterative Methods for Searching Optimal Classifier Combination Function
* 2007: PDE-Based Enhancement of Low Quality Documents
* 2007: Real-time Automatic Deceit Detection from Involuntary Facial Expressions
* 2007: Robust Point-Based Feature Fingerprint Segmentation Algorithm
* 2007: Symmetric hash functions for secure fingerprint biometric systems
* 2007: Vector Model Based Indexing and Retrieval of Handwritten Medical Forms
* 2007: Verifying Fingerprint Match by Local Correlation Methods
* 2008: Advances in Biometrics Sensors, Algorithms and Systems
* 2008: Binarization and cleanup of handwritten text from carbon copy medical form images
* 2008: Comparison of combination methods utilizing T-normalization and second best score model
* 2008: Enrolled Template Specific Decisions and Combinations in Verification Systems
* 2008: Fingerprint Matching Using Correlation and Thin-Plate Spline Deformation Model
* 2008: Integrating minutiae based fingerprint matching with local mutual information
* 2009: Automatic recognition of handwritten medical forms for search engines
* 2009: Combining Facial Skin Mark and Eigenfaces for Face Recognition
* 2009: Devanagari OCR using a recognition driven segmentation framework and stochastic language models
* 2009: Hierarchical Classification Model for Document Categorization, A
* 2009: Markov Random Field Based Text Identification from Annotated Machine Printed Documents
* 2009: Nested state indexing in pairwise Markov networks for fast handwritten document image rule-line removal
* 2009: Phrase-based correction model for improving handwriting recognition accuracies
* 2009: Preprocessing of Low-Quality Handwritten Documents Using Markov Random Fields
* 2009: probabilistic method for keyword retrieval in handwritten document images, A
* 2009: Robust Fingerprint Matching Using Spiral Partitioning Scheme
* 2009: Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation
* 2009: Steerable Directional Local Profile Technique for Extraction of Handwritten Arabic Text Lines, A
* 2009: Synthetic handwritten CAPTCHAs
* 2009: Unconstrained face recognition using MRF priors and manifold traversing
* 2009: Using topic models for OCR correction
* 2010: Combination of Symmetric Hash Functions for Secure Fingerprint Matching
* 2010: Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling, A
* 2010: Generation and use of handwritten CAPTCHAs
* 2010: Generation of Handwriting by Active Shape Modeling and Global Local Approximation (GLA) Adaptation
* 2010: Leveraging the Mixed-Text Segmentation Problem to Design Secure Handwritten CAPTCHAs
* 2010: Markov random field based binarization for hand-held devices captured document images
* 2010: Novel Lexicon Reduction Method for Arabic Handwriting Recognition, A
* 2010: Removing Rule-Lines from Binary Handwritten Arabic Document Images Using Directional Local Profile
* 2010: Retrieving Handwriting Styles: A Content Based Approach to Handwritten Document Retrieval
* 2010: Robust Iris Localization Method Using an Active Contour Model and Hough Transform, A
* 2010: Syntactic image parsing using ontology and semantic descriptions
* 2010: Text Separation from Mixed Documents Using a Tree-Structured Classifier
* 2011: Combination of user- and enrollee-specific statistical information in verification systems
* 2011: Detecting Figure-Panel Labels in Medical Journal Articles Using MRF
* 2011: generative framework to investigate the underlying patterns in human activities, A
* 2011: Image Enhancement for Degraded Binary Document Images
* 2011: Lie to Me: Deceit detection via online behavioral learning
* 2011: Multiple-sample fusion of matching scores in biometric systems
* 2011: Shared Parameter Model for Gesture and Sub-gesture Analysis, A
* 2011: Unconstrained handwritten document retrieval
* 2012: Handwritten Arabic text recognition using Deep Belief Networks
* 2012: Keyword Spotting Framework Using Dynamic Background Model
* 2012: Modeling Writing Styles for Online Writer Identification: A Hierarchical Bayesian Approach
* 2012: Multilingual word spotting in offline handwritten documents
* 2012: Script Independent Word Spotting in Offline Handwritten Documents Based on Hidden Markov Models
* 2012: Structural Learning for Writer Identification in Offline Handwriting
* 2012: temporal Bayesian model for classifying, detecting and localizing activities in video sequences, A
* 2012: Using a boosted tree classifier for text segmentation in hand-annotated documents
* 2012: Utilization of matching score vector similarity measures in biometric systems
* 2013: Bayesian Framework for Modeling Accents in Handwriting, A
* 2013: feature information based approach for enhancing score-level fusion in multi-sample biometric systems, A
* 2013: Handwritten Text Separation from Annotated Machine Printed Documents Using Markov Random Fields
* 2013: hierarchical Bayesian approach to online writer identification, A
* 2013: IBM_UB_1: A Dual Mode Unconstrained English Handwriting Dataset
* 2013: Labeling Spain With Stanford
* 2013: Minutiae-Based Matching State Model for Combinations in Fingerprint Matching System
* 2013: Model Based Framework for Table Processing in Degraded Document Images, A
* 2013: Online Handwritten Cursive Word Recognition Using Segmentation-Free MRF in Combination with P2DBMN-MQDF
* 2013: Segmentation Based Online Word Recognition: A Conditional Random Field Driven Beam Search Strategy
* 2013: Semi-supervised framework for writer identification using structural learning
* 2014: Bayesian Active Learning for Keyword Spotting in Handwritten Documents
* 2014: Data Sufficiency for Online Writer Identification: A Comparative Study of Writer-Style Space vs. Feature Space Models
* 2014: Secure Fingerprint Matching with Generic Local Structures
* 2014: Sigma-Lognormal Model for Handwritten Text CAPTCHA Generation, A
* 2014: Statistical script independent word spotting in offline handwritten documents
* 2015: Automated analysis of line plots in documents
* 2015: multiple server scheme for fingerprint fuzzy vaults, A
* 2015: sigma-lognormal model for character level CAPTCHA generation, A
* 2016: Deep Secure Encoding for Face Template Protection
* 2016: Segmentation of highly unstructured handwritten documents using a neural network technique
* 2017: Bayesian background models for keyword spotting in handwritten documents
* 2017: Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association
* 2018: Re-identification for Online Person Tracking by Modeling Space-Time Continuum
* 2018: Special issue on deep learning for document analysis and recognition
* 2019: Generalized framework for summarization of fixed-camera lecture videos by detecting and binarizing handwritten content
* 2019: Learning deep features for online person tracking using non-overlapping cameras: A survey
* 2020: Domain adaptive representation learning for facial action unit recognition
* 2020: ICPR 2020 - Competition on Harvesting Raw Tables from Infographics
* 2020: Learning Guided Attention Masks for Facial Action Unit Recognition
* 2020: Moving in the Right Direction: A Regularization for Deep Metric Learning
* 2020: Skeleton-based Methods for Speaker Action Classification on Lecture Videos
* 2021: Automated Whiteboard Lecture Video Summarization by Content Region Detection and Representation
* 2021: Chart Mining: A Survey of Methods for Automated Chart Analysis
* 2021: Equation Attention Relationship Network (EARN): A Geometric Deep Metric Framework for Learning Similar Math Expression Embedding
* 2021: Multistage Fusion of Face Matchers
* 2021: TADPool: Target Adaptive Pooling for Set Based Face Recognition
* 2022: ICPR 2022: Challenge on Harvesting Raw Tables from Infographics (CHART-Infographics)
* 2023: Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source Localization
* 2023: NAPReg: Nouns As Proxies Regularization for Semantically Aware Cross-Modal Embeddings
Includes: Govindaraju, V. Govindaraju, V.[Venugopal] Govindaraju, V.[Venu]
198 for Govindaraju, V.

Govindarao, K.[Krishna] * 2014: Pixel resolution plenoptic disparity using cost aggregation
* 2014: Robust segment-based Stereo using Cost Aggregation

Govindasamy, V.P.[V. Priya] * 2006: Image-Based Informatics for Preclinical Biomedical Research
* 2007: Detection of Anatomic Structures in Human Retinal Imagery
Includes: Govindasamy, V.P.[V. Priya] Govindasamy, V.P.

Govindaswamy, A.G. * 2020: Predicting physician gaze in clinical settings using optical flow and positioning

Govindu, V.[Venu] * 1996: Image Registration by Feature Consensus
* 1997: Geometric Framework for Image Alignment, A
* 1998: Using Geometric Properties for Correspondence-less Image Alignment
* 1999: Alignment Using Distributions of Local Geometric Properties
* 1999: Experimental Study of Projective Structure from Motion, An
* 1999: Multisensor image registration by feature consensus
* 2000: MRF Solutions for Probabilistic Optical Flow Formulations
7 for Govindu, V.

Govindu, V.M.[Venu Madhav] * 2001: Combining Two-view Constraints for Motion Estimation
* 2004: Lie-algebraic averaging for globally consistent motion estimation
* 2004: On using priors in affine matching
* 2005: Tensor Decomposition for Geometric Grouping and Segmentation, A
* 2006: Revisiting the Brightness Constraint: Probabilistic Formulation and Algorithms
* 2006: Robustness in Motion Averaging
* 2009: On Using Projective Relations for Calibration and Estimation in a Structured-Light Scanner
* 2010: multi-view extension of the ICP algorithm, A
* 2013: Efficient and Robust Large-Scale Rotation Averaging
* 2013: Efficient Higher-Order Clustering on the Grassmann Manifold
* 2014: Divide and Conquer: Efficient Large-Scale Structure from Motion Using Graph Partitioning
* 2014: High Quality Photometric Reconstruction Using a Depth Camera
* 2014: On Averaging Multiview Relations for 3D Scan Registration
* 2015: Geometric and radiometric estimation in a structured-light 3D scanner
* 2015: Photometric refinement of depth maps for multi-albedo objects
* 2015: Symmetric Smoothing Filters From Global Consistency Constraints
* 2016: Robust Feature-Preserving Denoising of 3D Point Clouds
* 2017: Divide and Conquer: A Hierarchical Approach to Large-Scale Structure-from-Motion
* 2017: Multi-view Non-rigid Refinement and Normal Selection for High Quality 3D Reconstruction
* 2018: Robust Relative Rotation Averaging
* 2019: Efficient and Robust Registration on the 3D Special Euclidean Group
* 2020: 3DRegNet: A Deep Neural Network for 3D Point Registration
* 2020: Face Fairness Framework for 3D Meshes, A
* 2021: It Is All In The Weights: Robust Rotation Averaging Revisited
* 2022: Correspondence Reweighted Translation Averaging
* 2023: Adaptive Annealing for Robust Geometric Estimation
Includes: Govindu, V.M.[Venu Madhav] Govindu, V.M.
26 for Govindu, V.M.

Index for "g"


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