Index for venk

Venkanna, M.[Mood] * 2021: Design of filter for image de-noising using discrete wavelet transform for ASIP

Venkanna, U. * 2022: Iris Liveness Detection Using Fusion of Domain-Specific Multiple BSIF and DenseNet Features

Venkat Shesu, R. * 2012: Coastal Ocean Observing Network: Open Source Architecture for Data Management and Web-based Data Services

Venkat, A. * 2019: HumanMeshNet: Polygonal Mesh Recovery of Humans

Venkat, I.[Ibrahim] * 2011: Psychophysically Inspired Bayesian Occlusion Model to Recognize Occluded Faces
* 2011: Robust Gait Recognition by Learning and Exploiting Sub-gait Characteristics
* 2012: P System Model for Contextual Array Languages, A
* 2013: Recognizing occluded faces by exploiting psychophysically inspired similarity maps
* 2014: Adaptive face modelling for reconstructing 3D face shapes from single 2D images
* 2015: Analytical Curvature B-Spline Algorithm for Effective Curve Modeling, An
* 2015: Distance-Based 3D Face Reconstruction Using Regularization
* 2015: Impact of Bio-Inspired Approaches Toward the Advancement of Face Recognition, The
* 2015: Membrane Computing Model for Generation of Picture Arrays, A
* 2016: General Human Traits Oriented Generic Elastic Model for 3D Face Reconstruction
* 2020: Computer-aided superimposition via reconstructing and matching 3D faces to 3D skulls for forensic craniofacial identifications
Includes: Venkat, I.[Ibrahim] Venkat, I.
11 for Venkat, I.

Venkat, N.[Naveen] * 2020: Class-incremental Domain Adaptation
* 2020: Plug-And-Pipeline: Efficient Regularization for Single-Step Adversarial Training
* 2020: Towards Inheritable Models for Open-Set Domain Adaptation
* 2020: Universal Source-Free Domain Adaptation

Venkata, P.P.K. * 2011: Automated maze solving using fluid mechanics based numerical approach

Venkata, S.L.[Srikanth L.] * 2016: Aerosol Retrievals from CALIPSO Lidar Ocean Surface Returns

Venkata, U.S.[Udaya Sameer] * 2018: Eliminating the effects of illumination condition in feature based camera model identification

Venkata, V.S.R. * 2019: Micro-Baseline Structured Light

Venkatachalam, S. * 2019: Stochastic Programming Approach for Electric Vehicle Charging Network Design, A
* 2021: Two-Stage Stochastic Choice Modeling Approach for Electric Vehicle Charging Station Network Design in Urban Communities
Includes: Venkatachalam, S. Venkatachalam, S.[Saravanan]

Venkatachalam, V. * 2000: Image Classification Using Pseudo Power Signatures

Venkatachalapathy, A.[Archana] * 2022: 6th AI City Challenge, The
* 2022: Survey on Driver Behavior Analysis From In-Vehicle Cameras, A
* 2023: Driver Head Pose Detection From Naturalistic Driving Data

Venkatachalapathy, K. * 2004: new adaptive search strategy for fast block based motion estimation algorithms, A

Venkatakrishnan, P. * 2011: Detection of quadratic phase coupling from human EEG signals using higher order statistics and spectra

Venkatakrishnan, S.[Singanallur] * 2022: Simurgh: A Framework for CAD-Driven Deep Learning Based X-Ray CT Reconstruction
* 2023: Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium

Venkatakrishnan, S.V. * 2013: Model Based Iterative Reconstruction Algorithm For High Angle Annular Dark Field-Scanning Transmission Electron Microscope (HAADF-STEM) Tomography, A
* 2015: Rotationally-invariant non-local means for image denoising and tomography
* 2016: Robust X-Ray Phase Ptycho-Tomography
* 2017: Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy
* 2022: Algorithm-Driven Advances for Scientific CT Instruments: From Model-Based to Deep Learning-Based Approaches
* 2023: Autonomous Polycrystalline Material Decomposition For Hyperspectral Neutron Tomography
* 2023: Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography
Includes: Venkatakrishnan, S.V. Venkatakrishnan, S.V.[Singanallur V.]
7 for Venkatakrishnan, S.V.

Venkatappa, M.[Manjunatha] * 2019: Determination of Vegetation Thresholds for Assessing Land Use and Land Use Changes in Cambodia using the Google Earth Engine Cloud-Computing Platform

Venkataramaiyer, R.B. * 2020: Can I teach a robot to replicate a line art
* 2021: SHAD3S: A model to Sketch, Shade and Shadow
Includes: Venkataramaiyer, R.B. Venkataramaiyer, R.B.[Raghav Brahmadesam]

Venkataramam, K. * 2002: Spatial frequency domain image processing for biometric recognition

Venkataraman, A.[Archana] * 2010: Robust feature selection in resting-state fMRI connectivity based on population studies
* 2012: Joint Modeling of Anatomical and Functional Connectivity for Population Studies
* 2013: From Connectivity Models to Region Labels: Identifying Foci of a Neurological Disorder
* 2016: Bayesian Community Detection in the Space of Group-Level Functional Differences
* 2020: Spatio-Temporal Model of Seizure Propagation in Focal Epilepsy, A
* 2022: Optimized Diffusion Imaging for Brain Structural Connectome Analysis
* 2023: Fusion Approaches to Predict Post-stroke Aphasia Severity from Multimodal Neuroimaging Data
Includes: Venkataraman, A.[Archana] Venkataraman, A. Venkataraman, A.[Arun]
7 for Venkataraman, A.

Venkataraman, D. * 2015: Automated lung cancer detection by the analysis of glandular cells in sputum cytology images using scale space features

Venkataraman, G. * 2014: Capability Assessment of Fully Polarimetric ALOS-PALSAR Data for Discriminating Wet Snow From Other Scattering Types in Mountainous Regions

Venkataraman, K. * 2020: Deep Polarization Cues for Transparent Object Segmentation

Venkataraman, M.[Mahesh] * 1994: Use of Collateral Text in Image Interpretation
* 1998: Fast blind inverse halftoning
Includes: Venkataraman, M.[Mahesh] Venkataraman, M.

Venkataraman, S. * 1994: Nonseparable orthogonal linear phase perfect reconstruction filter banks and their application to image compression
* 2008: Fuzzy Approach to Region of Interest Coding in JPEG 2000 for Automatic Target Recognition Applications from High-Resolution Satellite Images, A
* 2022: Central hubs prediction for bio networks by directed hypergraph: GA with validation to COVID-19 PPI
Includes: Venkataraman, S. Venkataraman, S.[Sarma] Venkataraman, S.[Swaminathan]

Venkataraman, S.R.[Sai Raam] * 2024: Can you even tell left from right? Presenting a new challenge for VQA

Venkataraman, V. * 2004: Object color propagation in an unregistered distributed video sensor network
* 2007: Generative Graphical Models for Maneuvering Object Tracking and Dynamics Analysis
* 2007: Target Tracking with Online Feature Selection in FLIR Imagery
* 2008: Integrated target tracking and recognition via joint appearance-motion generative models
* 2009: Appearance learning by adaptive Kalman filters for FLIR tracking
* 2010: RelCom: Relational combinatorics features for rapid object detection
* 2011: Joint target tracking and recognition using view and identity manifolds
* 2012: Adaptive Kalman Filtering for Histogram-Based Appearance Learning in Infrared Imagery
* 2013: Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition
* 2015: Dynamical Regularity for Action Analysis
* 2015: Generalized Lyapunov Feature for Dynamical Systems on Riemannian Manifolds, A
* 2016: Persistent homology of attractors for action recognition
* 2016: Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams, A
* 2016: Shape Distributions of Nonlinear Dynamical Systems for Video-Based Inference
* 2018: Perturbation Robust Representations of Topological Persistence Diagrams
Includes: Venkataraman, V. Venkataraman, V.[Vijay] Venkataraman, V.[Vinay]
15 for Venkataraman, V.

Venkataraman, V.B.[Vijay Bhaskar] * 2005: Multi-aspect Target Tracking in Image Sequences Using Particle Filters
* 2006: Comparative Study of Boosted and Adaptive Particle Filters for Affine-Invariant Target Detection and Tracking, A

Venkataramana, A. * 2007: Fast Computation of Inverse Krawtchouk Moment Transform using Clenshaw's Recurrence Formula
* 2011: Recursive Computation of Forward Krawtchouk Moment Transform Using Clenshaw's Recurrence Formula

Venkataramana, K.B.[Kini B.] * 2008: Large margin AR model for time series classification

Venkataramanan, A.[Aishwarya] * 2021: Tackling Inter-class Similarity and Intra-class Variance for Microscopic Image-Based Classification
* 2023: Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers

Venkataramanan, A.K.[Abhinau K.] * 2022: Funque: Fusion of Unified Quality Evaluators
* 2024: One Transform to Compute Them All: Efficient Fusion-Based Full-Reference Video Quality Assessment
* 2024: Study of Subjective and Objective Quality Assessment of HDR Videos, A

Venkataramanan, S.[Shashanka] * 2020: Attention Guided Anomaly Localization in Images
* 2020: Target Detection in Cluttered Environments Using Infra-Red Images
* 2022: AlignMixup: Improving Representations By Interpolating Aligned Features
Includes: Venkataramanan, S.[Shashanka] Venkataramanan, S.

Venkataramani, B. * 2008: Automation techniques for implementation of hybrid wave-pipelined 2D DWT

Venkataramani, K.[Krithika] * 2003: Fingerprint Verification Using Correlation Filters
* 2004: Face Authentication from Cell Phone Camera Images with Illumination and Temporal Variations
* 2004: Face Recognition Using Asymmetric Faces
* 2005: Face Authentication from Cell Phone Camera Images with Illumination and Temporal Variations
* 2013: Image quality quantification for fingerprints using quality-impairment assessment
* 2016: Automated blood vessel extraction in two-dimensional breast thermography
Includes: Venkataramani, K.[Krithika] Venkataramani, K.

Venkataramani, R. * 1998: Further results on spectrum blind sampling of 2D signals
* 2024: Causal Feature Alignment: Learning to Ignore Spurious Background Features
Includes: Venkataramani, R. Venkataramani, R.[Rahul]

Venkataramaniah, K. * 2013: Separation of nonstationary signals using Fourier Bessel, fractional Fourier and time-frequency analysis
* 2014: Extracting Micro-Doppler Radar Signatures From Rotating Targets Using Fourier-Bessel Transform and Time-Frequency Analysis

Venkataratnam, L. * 2002: Textural analysis of IRS-1D panchromatic data for land cover classification

Venkatash, S.K. * 2009: Construction of a linear unbiased diffeomorphic probabilistic liver atlas from CT images

Venkatasubramanian, K.K.[Krishna K.] * 2018: Authentication-Based on Biomechanics of Finger Movements Captured Using Optical Motion-Capture

Venkatasubramanian, S.[Suresh] * 2007: Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves
* 2008: Robust statistics on Riemannian manifolds via the geometric median

Venkatasubramanian, V. * 2009: Chaos UWB Radar for Through-the-Wall Imaging

Venkatchalam, R.V. * 2012: Evaluation Of Catrosat 1pan Stereo And Resourcesat Liss 4 Mss Merged Data For Morphometric Analysis, Delineation Of Drainage Basins And Codification In Tamil Nadu, India And Australia
* 2012: Monitoring Environment With Gis For Part Of Thiruvallur Town Using Cartosat 1 Stereo, Pan & Resourcesat Liss 4 Mss Merged Data

Venkategowda, N.K.D. * 2015: Optimal Minimum Variance Distortionless Precoding (MVDP) for Decentralized Estimation in MIMO Wireless Sensor Networks
* 2017: Precoding for Robust Decentralized Estimation in Coherent-MAC-Based Wireless Sensor Networks
* 2020: Privacy-Preserving Distributed Maximum Consensus
* 2022: Joint Transmit and Reflective Beamformer Design for Secure Estimation in IRS-Aided WSNs
Includes: Venkategowda, N.K.D. Venkategowda, N.K.D.[Naveen K. D.]

Venkatesan, A.[Aarthi] * 2021: How Accurate Is an Unmanned Aerial Vehicle Data-Based Model Applied on Satellite Imagery for Chlorophyll-a Estimation in Freshwater Bodies?
* 2021: integrated feature frame work for automated segmentation of COVID-19 infection from lung CT images, An
Includes: Venkatesan, A.[Aarthi] Venkatesan, A.[Arunachalam]

Venkatesan, A.S.P.[A.S. Prasanna] * 2011: Shuffle on Trajectories over Finite Array Languages

Venkatesan, B. * 2012: Inspection of faults in textile web materials using wavelets and ANFIS

Venkatesan, R. * 1992: VLSI architecture for hierarchical scene matching, A
* 1997: Role of High-Resolution in Magnetic-Resonance (MR) Imaging: Applications to MR-Angiography, Intracranial T-1-Weighted Imaging, and Image Interpolation
* 1998: SMAC: A VLSI Architecture for Scene Matching
* 2000: Image Watermarking with Better Resilience
* 2000: Robust Image Hashing
* 2004: Robust perceptual image hashing via matrix invariants
* 2013: Magnetic resonance scan-time reduction using echo prediction
* 2014: Video-Based Self-positioning for Intelligent Transportation Systems Applications
* 2015: Simpler Non-Parametric Methods Provide as Good or Better Results to Multiple-Instance Learning
* 2016: On the generality of neural image features
* 2019: d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
* 2021: Seasonal and Tidal Variability of Surface Currents in the Western Andaman Sea Using HF Radars and Buoy Observations During 2016-2017
Includes: Venkatesan, R. Venkatesan, R.[Ramesh] Venkatesan, R.[Ragav] Venkatesan, R.[Ramasamy]
12 for Venkatesan, R.

Venkatesan, S.[Subramanian] * 2022: Linkable Privacy-Preserving Scheme for Location-Based Services

Venkatesh Babu, R. * 2017: Object Category Understanding via Eye Fixations on Freehand Sketches

Venkatesh, A.[Aashish] * 2018: Adding Object Detection Skills to Visual Dialogue Agents
* 2020: Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations
Includes: Venkatesh, A.[Aashish] Venkatesh, A.

Venkatesh, G.[Ganesh] * 2021: Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
* 2023: Temporally Consistent Online Depth Estimation in Dynamic Scenes

Venkatesh, G.M. * 2021: Utilising Visual Attention Cues for Vehicle Detection and Tracking

Venkatesh, K.[Krishna] * 2023: Decoding the Dynamics of Climate Change Impact: Temporal Patterns of Surface Warming and Melting on the Nivlisen Ice Shelf, Dronning Maud Land, East Antarctica

Venkatesh, K.S. * 2004: Motion Estimation from Motion Smear: A System Identification Approach
* 2005: Efficient occlusion handling for multiple agent tracking by reasoning with surveillance event primitives
* 2006: Activity Discovery from Surveillance Videos
* 2006: Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling, A
* 2006: Spatio-temporal Discovery: Appearance + Behavior = Agent
* 2008: Objects from Animacy: Joint Discovery in Shape and Haar Feature Space
* 2009: Combining Edge and Color Features for Tracking Partially Occluded Humans
* 2010: Novel Representations, Techniques and Error Evaluation for 3D Reconstruction
* 2011: Activity Discovery Using Compressed Suffix Trees
* 2011: Fourier shape-frequency words for actions
* 2011: Human pose estimation in surveillance videos using temporal continuity on static pose
* 2013: Fast and efficient computation of stereo depth maps
* 2013: Spatio-temporal multi-view synthesis for free viewpoint television
* 2014: True Zoom with Cylindrical Light Field System
* 2016: Deep Attributes for One-Shot Face Recognition
* 2016: Dehazing of color image using stochastic enhancement
* 2017: Improved scene capture in unfavorable lighting conditions
* 2017: Video stabilization using regularity of energy flow
* 2018: U-DADA: Unsupervised Deep Action Domain Adaptation
* 2018: Visual Saliency Detection Using Spatiotemporal Decomposition
* 2019: Depth Map Estimation Using Defocus and Motion Cues
* 2019: Entire frame image display employing monotonic convergent nonnegative matrix factorization
* 2019: Image retrieval using dictionary similarity measure
* 2019: Realtime dehazing using colour uniformity principle
* 2020: Simultaneous Estimation of Defocus and Motion Blurs From Single Image Using Equivalent Gaussian Representation
* 2022: Occlusion Resistant Network for 3D Face Reconstruction
Includes: Venkatesh, K.S. Venkatesh, K.S.[K. Subramanian]
26 for Venkatesh, K.S.

Venkatesh, M.S. * 2014: flexible architecture for multi-view 3DTV based on uncalibrated cameras, A

Venkatesh, M.V.[M. Vijay] * 2006: Efficient Object-Based Video Inpainting
* 2006: Symmetric Shape Completion Under Severe Occlusions
* 2009: Efficient Object-Based Video Inpainting
* 2010: Eye tracking based perceptual image inpainting quality analysis
Includes: Venkatesh, M.V.[M. Vijay] Venkatesh, M.V.

Venkatesh, N. * 2010: Human Electrocardiogram for Biometrics Using DTW and FLDA

Venkatesh, P.[Prashanth] * 2020: HUMBI: A Large Multiview Dataset of Human Body Expressions
* 2022: Memory Guided Road Segmentation
Includes: Venkatesh, P.[Prashanth] Venkatesh, P.[Praveen]

Venkatesh, R. * 2020: Application of Remote Sensing and Google Earth Engine for Monitoring Environmental Degradation In the Nilgiri Biosphere Reserve and Its Ecosystem of Western Ghats, India
* 2020: Eco-environmental Vulnerability Zonation In Essence of Environmental Monitoring and Management
* 2021: Deep Implicit Surface Point Prediction Networks
* 2021: Google Earth Engine Based Agricultural Drought Monitoring in Kodavanar Watershed, Part of Amaravathi Basin, Tamil Nadu, India
* 2022: Unsupervised Segmentation in Real-World Images via Spelke Object Inference
* 2023: Adversarial robustness in discontinuous spaces via alternating sampling and descent
* 2024: Automatic left ventricle segmentation via edge-shape feature-based fully convolutional neural network
Includes: Venkatesh, R. Venkatesh, R.[Rahul]
7 for Venkatesh, R.

Venkatesh, R.M.[Rahul Mysore] * 2020: Appearance Consensus Driven Self-supervised Human Mesh Recovery
* 2020: Class-incremental Domain Adaptation
* 2020: Unsupervised Cross-modal Alignment for Multi-person 3d Pose Estimation

Venkatesh, S. * 1989: Edge Detection is a Projection
* 1990: Early Jump-Out Corner Detectors
* 1990: On the Classification of Image Features
* 1991: Early Jump-Out Corner Detectors
* 1992: Edge Evaluation Using Necessary Components
* 1992: Local energy, the pre-envelope, and filter resolution
* 1993: Dynamic Threshold Determination by Local and Global Edge Evaluation
* 1993: Early Jump-Out Corner Detectors
* 1993: Extracting Natural Scales Using Fourier Descriptors
* 1994: Emerging hypothesis verification using function-based geometric models and active vision strategies
* 1994: Modeling Edges at Subpixel Accuracy Using the Local Energy Approach
* 1995: Detection of Curved Edges at Subpixel Accuracy Using Deformable Models
* 1995: Dynamic Threshold Determination by Local and Global Edge Evaluation
* 1995: Investigation into the Use of Physical Modeling for the Prediction of Various Feature Types Visible from Different Viewpoints, An
* 1995: Local energy and pre-envelope
* 1995: Spatial Reasoning Via Active Observation
* 1996: Insect Inspired Behaviours for the Autonomous Control of Mobile Robots
* 1996: Resolution Consideration in Spatially Variant Sensors
* 1996: Spatial Indexing for Video Databases
* 1996: Tracking in a Space Variant Active Vision System
* 1997: Hypothesis Verification Using Parametric Models and Active Vision Strategies
* 1997: Qualitative Estimation of Camera Motion Parameters from Video Sequences
* 1997: Resequencing of Video Using Spatial Indexing
* 1997: Resolution Consideration in Spatially Variant Sensors
* 1997: Stabilizing the Camera to Fixation Point Distance in Active Vision
* 1997: Use of Log Polar Space for Foveation and Feature Recognition
* 1998: Classifying and Detecting Group Behaviour from Visual Surveillance Data
* 1998: Combining NL Processing and Video Data to Query American Football
* 1998: Efficient Least Common Subgraph Algorithm for Video Indexing, An
* 1998: Insect-Based Approach to Robotic Homing, An
* 1998: Stabilizing the Camera to Fixation Point Distance in Active Vision
* 1999: Low-cost Interactive Active Monocular Range Finder
* 2000: Automatic Genre Identification for Content-based Video Categorization
* 2000: New enhancements to cut, fade, and dissolve detection processes in video segmentation
* 2000: On the Incremental Learning and Recognition of the Pattern of Movement of Multiple Labelled Objects in Dynamic Scenes
* 2000: Probablistic Framework for Tracking in Wide-area Environments, A
* 2000: Towards Automatic Extraction of Expressive Elements from Motion Pictures: Tempo
* 2001: Affect computing in film through sound energy dynamics
* 2001: Combining multiple tracking algorithms for improved general performance
* 2001: Obtaining functional parametric models using active vision strategies
* 2001: Video indexing and similarity retrieval by largest common subgraph detection using decision trees
* 2001: Video sequence matching via decision tree path following
* 2002: Application of Agent-Oriented Techniques to Symbolic Matching and Object Recognition, An
* 2002: Finding The Beat: An Analysis Of The Rhythmic Elements Of Motion Pictures
* 2002: Hierarchical monitoring of people's behaviors in complex environments using multiple cameras
* 2002: Hierarchical recognition of intentional human gestures for sports video annotation
* 2002: Media Computing
* 2002: Neighborhood coherence and edge based approaches to film scene extraction
* 2002: Policy recognition in the abstract hidden markov model
* 2002: Temporal PDMs for gait classification
* 2003: Horror film genre typing and scene labeling via audio analysis
* 2003: Low-cost interactive active range finder
* 2003: Recognising and monitoring high-level behaviours in complex spatial environments
* 2003: Scene extraction in motion pictures
* 2004: Automatically learning structural units in educational videos with the hierarchical hidden markov models
* 2004: Human action segmentation via controlled use of missing data in HMMs
* 2005: Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model
* 2005: Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views
* 2005: Discovery of Activity Structures using the Hierarchical Hidden Markov Model
* 2005: Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models
* 2005: Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations
* 2006: AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
* 2006: Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation
* 2006: Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model
* 2006: Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects
* 2006: Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association
* 2006: Smith-Waterman Local Alignment Approach for Spatial Activity Recognition, A
* 2006: Unifying Background Models over Complex Audio using Entropy
* 2007: Face Recognition Using Kernel Ridge Regression
* 2007: Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression
* 2007: Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis
* 2008: Adaptive speech enhancement with varying noise backgrounds
* 2008: Boosting performance for 2D Linear Discriminant Analysis via regression
* 2008: Context aware privacy in visual surveillance
* 2008: Efficient tensor based face recognition
* 2008: Exploiting side information in locality preserving projection
* 2008: Joint learning and dictionary construction for pattern recognition
* 2008: Learning in imbalanced relational data
* 2008: Model-based character recognition in low resolution
* 2008: Model-based combined tracking and resolution enhancement
* 2008: Passenger monitoring in moving bus video
* 2008: Pedestrian detection for mobile bus surveillance
* 2008: Recognising faces in unseen modes: A tensor based approach
* 2008: Recognising online spatial activities using a bioinformatics inspired sequence alignment approach
* 2008: Ridge Regression for Two Dimensional Locality Preserving Projection
* 2008: Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
* 2008: You Tube and I Find Personalizing Multimedia Content Access
* 2009: Automatic Fitting of a Deformable Face Mask Using a Single Image
* 2009: Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds
* 2009: Dynamic Privacy in Public Surveillance
* 2009: Efficient algorithms for subwindow search in object detection and localization
* 2009: Efficient duration and hierarchical modeling for human activity recognition
* 2009: Removal of abdominal wall for 3D visualization and segmentation of organs in CT volume
* 2009: unified tensor framework for face recognition, A
* 2010: Exploiting Monge structures in optimum subwindow search
* 2010: Fast Extension for Sparse Representation on Robust Face Recognition, A
* 2010: Multi-class Pattern Classification in Imbalanced Data
* 2010: Study on Smoothing for Particle-Filtered 3D Human Body Tracking, A
* 2010: unified 2D-3D video scene change detection framework for mobile camera platforms, A
* 2010: Video Anomaly Identification
* 2011: Efficient subwindow search with submodular score functions
* 2011: Unified formulation of linear discriminant analysis methods and optimal parameter selection
* 2012: Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise
* 2012: Improved subspace clustering via exploitation of spatial constraints
* 2012: Multi-modal abnormality detection in video with unknown data segmentation
* 2012: nonparametric Bayesian Poisson gamma model for count data, A
* 2012: Optimal metric selection for improved multi-pose face recognition with group information
* 2013: Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis
* 2013: Efficient Algorithms for Robust Recovery of Images From Compressed Data
* 2014: Affective and Content Analysis of Online Depression Communities
* 2014: Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data, A
* 2014: Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data
* 2014: Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models
* 2015: Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings
* 2015: Detection of Dynamic Background Due to Swaying Movements From Motion Features
* 2015: Efficient and accurate set-based registration of time-separated aerial images
* 2015: Mixed-norm sparse representation for multi view face recognition
* 2015: Multi-View Subspace Clustering for Face Images
* 2015: Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams
* 2015: Visual Object Clustering via Mixed-Norm Regularization
* 2016: CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features
* 2016: Faster training of very deep networks via p-norm gates
* 2016: Hyperparameter tuning for big data using Bayesian optimisation
* 2016: MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data
* 2016: Multiple adverse effects prediction in longitudinal cancer treatment
* 2016: Nonparametric discovery of movement patterns from accelerometer signals
* 2016: Stable clinical prediction using graph support vector machines
* 2016: Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model
* 2017: Collaborative Representation of Statistically Independent Filters' Response: An Application to Face Recognition Under Illicit Drug Abuse Alterations
* 2017: Face Presentation Attack Detection by Exploring Spectral Signatures
* 2017: Multi-patch deep sparse histograms for iris recognition in visible spectrum using collaborative subspace for robust verification
* 2017: Transferable Deep-CNN Features for Detecting Digital and Print-Scanned Morphed Face Images
* 2018: Expected Hypervolume Improvement with Constraints
* 2018: Graph Memory Networks for Molecular Activity Prediction
* 2018: Improved ear verification after surgery-An approach based on collaborative representation of locally competitive features
* 2018: Knowledge Graph Embedding with Multiple Relation Projections
* 2019: Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
* 2019: Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection
* 2019: New Multi-spectral Iris Acquisition Sensor for Biometric Verification and Presentation Attack Detection, A
* 2020: Detecting Morphed Face Attacks Using Residual Noise from Deep Multi-scale Context Aggregation Network
* 2020: Hierarchical Conditional Relation Networks for Video Question Answering
* 2021: Clustering by Maximizing Mutual Information Across Views
* 2021: Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling
* 2021: Handwritten Signature and Text based User Verification using Smartwatch
* 2021: Hierarchical Conditional Relation Networks for Multimodal Video Question Answering
* 2021: Learning Asynchronous and Sparse Human-Object Interaction in Videos
* 2021: ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
* 2022: Black-Box Few-Shot Knowledge Distillation
* 2022: Dual-frame spatio-temporal feature modulation for video enhancement
* 2022: Fast Model-based Policy Search for Universal Policy Networks
* 2022: Persistent-Transient Duality in Human Behavior Modeling
* 2022: Towards Effective and Robust Neural Trojan Defenses via Input Filtering
* 2022: Towards generalized morphing attack detection by learning residuals
* 2022: Uncertainty Aware System Identification with Universal Policies
* 2022: Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions
* 2023: Guiding Visual Question Answering with Attention Priors
* 2023: Multi-weather Image Restoration via Domain Translation
* 2023: Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction
* 2024: Fingervein Verification using Convolutional Multi-Head Attention Network
* 2024: Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection
* 2024: Multispectral Imaging for Differential Face Morphing Attack Detection: A Preliminary Study
Includes: Venkatesh, S. Venkatesh, S.[Svetha] Venkatesh, S.[Svertha] Venkatesh, S.[Sudhakar] Venkatesh, S.[Sushma]
161 for Venkatesh, S.

Venkatesh, S.K.[Sudhakar K.] * 2009: 3D segmentation of soft organs by flipping-free mesh deformation
* 2011: Local Gabor Phase Quantization Scheme for Robust Leaf Classification
Includes: Venkatesh, S.K.[Sudhakar K.] Venkatesh, S.K.

Venkatesh, S.S. * 1992: On reliable computation with formal neurons
* 1994: Asymptotic predictions of the finite-sample risk of the k-nearest-neighbor classifier
* 1998: Learning-Pattern Classification: A Survey

Venkatesh, V.[Varun] * 2020: Unsupervised Desmoking of Laparoscopy Images Using Multi-scale Desmokenet

Venkatesh, Y.V. * 1986: Digital Color Reproduction on Color Television Monitors
* 1987: Distribution of Black Nodes at Various Levels in a Linear Quadtree
* 1992: Image Representation Using Vector Wavelets
* 1992: Surface Reconstruction from Disparate Shading: An Integration of Shape-from-Shading and Stereopsis
* 1995: Deblurring Gaussian blur using a wavelet array transform
* 1998: Generalized Hermite polynomials for image reconstruction from zero crossing contours
* 2000: Self-Organizing Neural Networks Based on Spatial Isomorphism for Active Contour Modeling
* 2001: Encoding and recognition of faces based on the human visual model and DCT
* 2001: Shape recognition using an invariant pulse code and a hierarchical, competitive neural network
* 2002: Deciphering layered meaning in gestures
* 2002: integrated automatic face detection and recognition system, An
* 2002: Segmentation of color images using a two-stage self-organizing network
* 2003: On the classification of multispectral satellite images using the multilayer perceptron
* 2005: Colour image segmentation using the self-organizing map and adaptive resonance theory
* 2006: Human Facial Expression Recognition using a 3D Morphable Model
* 2006: Multiple contour extraction from graylevel images using an artificial neural network
* 2006: Understanding gestures with systematic variations in movement dynamics
* 2007: On the Application of a Modified Self-Organizing Neural Network to Estimate Stereo Disparity
* 2009: novel approach to classification of facial expressions from 3D-mesh datasets using modified PCA, A
* 2010: Medical image reconstruction from sparse samples using Simultaneous Perturbation Stochastic Optimization
* 2010: Resampling Approach to Facial Expression Recognition Using 3D Meshes
* 2012: Facial expression recognition using radial encoding of local Gabor features and classifier synthesis
* 2012: On the simultaneous recognition of identity and expression from BU-3DFE datasets
Includes: Venkatesh, Y.V. Venkatesh, Y.V.[Yedatore V.]
23 for Venkatesh, Y.V.

Venkatesha, M.K. * 2009: Application of Continuous Dynamic Programming, An
* 2009: Iris and Signature Authentication Using Continuous Dynamic Programming
* 2009: On-line signature authentication using Zernike moments
* 2011: approach for on-line signature authentication using Zernike moments, An

Venkatesha, S.[Sharath] * 2010: Human Activity Recognition Using Local Shape Descriptors
* 2011: Motion invariance and custom blur from lens motion
* 2014: Motion aware motion invariance
* 2015: Low-Noise Fluttering Shutter Camera Handling Accelerated Motion, A
* 2017: Temporally Coded Illumination for Rolling Shutter Motion De-blurring
Includes: Venkatesha, S.[Sharath] Venkatesha, S.

Venkatesha, Y.[Yeshwanth] * 2021: Activation Density Driven Efficient Pruning in Training
* 2022: Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
* 2022: Neural Architecture Search for Spiking Neural Networks

Venkateshc, S. * 2016: Bayesian nonparametric Multiple Instance Regression

Venkateshkumar, S.K. * 2015: Latent Hierarchical Part Based Models for Road Scene Understanding

Venkatesth, Y.V. * 1999: integrated face detection and recognition system, An

Venkateswar, V. * 1986: Edge Detection Using the Directional Derivatives of a Space Varying Correlated Random Field Model
* 1989: Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model
* 1990: Framework for Interpretation of Aerial Images, A
* 1991: Hierarchical Approach to Detection of Buildings in Aerial Images, A
* 1991: Hierarchical Feature Based Matching for Motion Correspondence
* 1991: Hierarchical Representation, Matching and Search for Some Computer Vision Problems
* 1992: Extraction of Straight Lines in Aerial Images
* 1992: Hierarchical Stereo Matching Using Feature Grouping
* 1995: Hierarchical Stereo and Motion Correspondence Using Feature Groupings
9 for Venkateswar, V.

Venkateswara, H.[Hemanth] * 2016: Nonlinear Embedding Transform for Unsupervised Domain Adaptation
* 2017: Deep active learning for image classification
* 2017: Deep Hashing Network for Unsupervised Domain Adaptation
* 2017: Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations
* 2018: Multi-Label Deep Active Learning with Label Correlation
* 2020: Leveraging Seen and Unseen Semantic Relationships for Generative Zero-shot Learning
* 2023: Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation
Includes: Venkateswara, H.[Hemanth] Venkateswara, H.
7 for Venkateswara, H.

Venkateswaran, A. * 1996: On Ordering Color Maps for Lossless Predictive Coding

Venkateswaran, N. * 2020: Exploring Techniques to Improve Activity Recognition using Human Pose Skeletons

Venkateswaran, V.[Vanitha] * 2023: Study on Effective Segmentation Network in MRI Images for Diagnosis of Brain Tumor, A

Venkateswarlu, N.B. * 1991: Three stage ML classifier
* 1992: Fast ISODATA clustering algorithms
* 1994: Some further results of three stage ML classification applied to remotely sensed images
* 1995: Implementation of Some Image Thresholding Algorithms on a Connection Machine-200
* 1995: New segmentation techniques for document image analysis

Venkateswarlu, R. * 2003: Determining pose of a human face from a single monocular image
* 2003: Eye gaze estimation from a single image of one eye
* 2003: Face Tracking and Recognition from Stereo Sequence
* 2003: Pose for Fusing Infrared and Visible-Spectrum Imagery
* 2004: Coplanar light sweep-surface supported uncalibrated photometric stereo
* 2004: Corner detection of gray level images using gabor wavelets
* 2004: EM Enhancement of 3D Head Pose Estimated by Perspective Invariance
* 2004: Multiscale corner detection for gray level images using Plessey method
* 2004: Registration of infra-red and visible-spectrum imagery for face recognition
* 2004: Stereo head/face detection and tracking
* 2005: Estimating the eye gaze from one eye
* 2005: Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples, A
* 2005: Fusion of Appearance and Depth Information for Face Recognition
* 2007: feature-based matching scheme: MPCD and robust matching strategy, A
* 2007: Multiscale contour corner detection based on local natural scale and wavelet transform
* 2007: Multiscale Corner Detection of Gray Level Images Based on Log-Gabor Wavelet Transform
Includes: Venkateswarlu, R. Venkateswarlu, R.[Ronda]
16 for Venkateswarlu, R.

Venkatraghavan, V.[Vikram] * 2011: Generic framework for organ localization in CT and MR images

Venkatram, N. * 2020: survey on analysis and implementation of state-of-the-art haze removal techniques, A
* 2023: Development and performance evaluation of enhanced image dehazing method using deep learning networks

Venkatraman, D. * 2008: Shadow-less segmentation of moving humans from surveillance video sequences
* 2008: Video object error coding method based on compressive sensing

Venkatraman, M. * 1994: Constrained gradient descent algorithm for residual vector quantizer design
* 1995: Zero crossings of a non-orthogonal wavelet transform for object location
* 1996: Using Speech Input for Image Interpretation and Annotation
* 1998: Very-low-bit-rate video coding using quadtree decomposition and cache-based vector quantization

Venkatraman, S.[Shanthakumar] * 2016: Partly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems
* 2018: novel computational knowledge-base framework for visualization and quantification of geospatial metadata in spatial data infrastructures, A
Includes: Venkatraman, S.[Shanthakumar] Venkatraman, S.[Swaminathan]

Venkatraman, V. * 2010: SHREC'10 Track: Protein Model Classification
* 2017: Classification of focal and non focal EEG using entropies

Venkatrao, P.H.[Patil Hanmant] * 2018: HWFusion: Holoentropy and SP-Whale optimisation-based fusion model for magnetic resonance imaging multimodal image fusion

Venkatrayappa, D.[Darshan] * 2014: Adaptive Feature Selection for Object Tracking with Particle Filter
* 2015: Novel Image Descriptor Based on Anisotropic Filtering, A
* 2015: RSD-HoG: A New Image Descriptor

Venkatsh, K.S. * 2016: spatiotemporal restoration of partial color artifacts in archival films, A
* 2016: Visual saliency detection using video decomposition
* 2017: Background estimation and motion saliency detection using total variation-based video decomposition

Venkitaraman, A. * 2012: Technique to Compute Smooth Amplitude, Phase, and Frequency Modulations From the Analytic Signal, A
* 2013: On Computing Amplitude, Phase, and Frequency Modulations Using a Vector Interpretation of the Analytic Signal
* 2013: Temporal Envelope Fit of Transient Audio Signals
* 2015: Motion-Based Segmentation of Chest and Abdomen Region of Neonates from Videos
* 2019: Learning Sparse Graphs for Prediction of Multivariate Data Processes
* 2022: Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective
Includes: Venkitaraman, A. Venkitaraman, A.[Arun]

Venkitasubramaniam, P.[Parv] * 2022: Data-Driven Contract Design for Multi-Agent Systems With Collusion Detection
* 2022: Separating Sensor Anomalies From Process Anomalies in Data-Driven Anomaly Detection

Venkitasubramanian, A.N.[Aparna Nurani] * 2016: Wildlife recognition in nature documentaries with weak supervision from subtitles and external data
* 2018: Markov Network Based Passage Retrieval Method for Multimodal Question Answering in the Cultural Heritage Domain, A

Venkitasubramony, A.[Aravind] * 2021: High Spatial Resolution Soil Moisture Mapping Using a Lobe Differencing Correlation Radiometer on a Small Unmanned Aerial System

Venkiteswaran, B. * 2012: Sensor Network Design for Smart Highways

Venkoparao, V.[Vijendran] * 2007: Multiple appearance models for face tracking in surveillance videos

Index for "v"