Index for srid

Sridevi, N. * 1992: Linear Octree by Volume Intersection Using Perspective Silhouettes

Sridhar Raj, S. * 2020: Deep manifold clustering based optimal pseudo pose representation (DMC-OPPR) for unsupervised person re-identification

Sridhar, A.[Anuraag] * 2008: Multiple Camera, Multiple Person Tracking with Pointing Gesture Recognition in Immersive Environments
* 2011: Distributed, multi-sensor tracking of multiple participants within immersive environments using a 2-cohort camera setup
* 2022: Gesture Recognition in Robotic Surgery With Multimodal Attention
Includes: Sridhar, A.[Anuraag] Sridhar, A.[Ashwin]

Sridhar, A.N. * 2019: Feature Ensemble Networks with Re-Ranking for Recognizing Disguised Faces in the Wild

Sridhar, B. * 1992: Vision-Based Range Estimation Using Helicopter Flight Data
* 1993: Parallel Implementation of a Multisensor Feature-Based Range-Estimation Method, A
* 1993: Passive Range Estimation for Rotorcraft Low-Altitude Flight
* 1994: Modelling Issues in Vision Based Aircraft Navigation During Landing
* 1994: Parallel Implementation of a Multisensor Feature-Based Range-Estimation Method, A
* 1995: Model-based obstacle detection from image sequences
* 1996: Discrete Range Clustering Using Monte-Carlo Methods
* 1996: Runway Obstacle Detection by Controlled Spatiomatic Image Flow Disparity
* 2020: Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management
Includes: Sridhar, B. Sridhar, B.[Banavar]
9 for Sridhar, B.

Sridhar, D.[Dhananjayan] * 2013: Aircraft push back direction indicator
* 2013: Brain Tumor Classification using Discrete Cosine Transform and Probabilistic Neural Network
* 2013: Face image classification using combined classifier
* 2021: Class Semantics-based Attention for Action Detection
Includes: Sridhar, D.[Dhananjayan] Sridhar, D. Sridhar, D.[Deepak]

Sridhar, G. * 2005: Description Selection Scheme for Intermediate Frame Based Multiple Description Video Streaming

Sridhar, K.[Kusha] * 2022: Unsupervised Personalization of an Emotion Recognition System: The Unique Properties of the Externalization of Valence in Speech

Sridhar, K.P.[Kuttaiyur Palaniswamy] * 2020: Adaptive Gaussian notch filter for removing periodic noise from digital images
* 2020: Adaptive switching interpolation filter for restoring impulse corrupted digital images
* 2021: Projection-dependent input processing for 3D object recognition in human robot interaction systems
Includes: Sridhar, K.P.[Kuttaiyur Palaniswamy] Sridhar, K.P.

Sridhar, M. * 1991: Handwritten Numerical Recognition Based on Multiple Algorithms
* 2014: Context Aware Detection and Tracking
* 2015: Joint Tracking and Event Analysis for Carried Object Detection
* 2015: Latent Hierarchical Part Based Models for Road Scene Understanding
Includes: Sridhar, M. Sridhar, M.[Muralikrishna]

Sridhar, M.K.[Murali Krishna] * 2007: Feature based on Encoding the Relative Position of a Point in the Character for Online Handwritten Character Recognition, A

Sridhar, P.[Pavithra] * 2022: Transformer Based Motion In-betweening

Sridhar, R.[Radhakrishnan] * 1990: O(kN.log N) algorithm for decomposing a set of polygons into d-separable components, An
* 1992: Postal Address Block Location in Real Time
Includes: Sridhar, R.[Radhakrishnan] Sridhar, R.

Sridhar, S. * 1992: Point Target Detection in Spatially Varying Clutter
* 2013: Interactive Markerless Articulated Hand Motion Tracking Using RGB and Depth Data
* 2014: Real-Time Hand Tracking Using a Sum of Anisotropic Gaussians Model
* 2015: Fast and robust hand tracking using detection-guided optimization
* 2016: Real-Time Joint Tracking of a Hand Manipulating an Object from RGB-D Input
* 2017: Real-Time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor
* 2017: Real-Time Hand Tracking under Occlusion from an Egocentric RGB-D Sensor
* 2018: GANerated Hands for Real-Time 3D Hand Tracking from Monocular RGB
* 2018: Single-Shot Multi-person 3D Pose Estimation from Monocular RGB
* 2019: Cooperative perception in autonomous ground vehicles using a mobile-robot testbed
* 2019: Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
* 2020: Detection of Market Manipulation using Ensemble Neural Networks
* 2020: Pix2Surf: Learning Parametric 3d Surface Models of Objects from Images
* 2020: Predicting the Physical Dynamics of Unseen 3D Objects
* 2021: Continuous Geodesic Convolutions for Learning on 3D Shapes
* 2021: HuMoR: 3D Human Motion Model for Robust Pose Estimation
* 2021: Representation Learning Through Latent Canonicalizations
* 2021: Two in One Image Secret Sharing Scheme (TiOISSS) for extended progressive visual cryptography using simple modular arithmetic operations
* 2022: ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
* 2022: Performance Analysis of Two-Stage Iterative Ensemble Method over Random Oversampling Methods on Multiclass Imbalanced Datasets
* 2023: Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
* 2023: CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes from Natural Language
* 2023: LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
* 2023: Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition
* 2023: Strata-NeRF : Neural Radiance Fields for Stratified Scenes
* 2024: Proceedings of the Workshop on 3D Geometry Generation for Scientific Computing
Includes: Sridhar, S. Sridhar, S.[Srinath] Sridhar, S.[Srivatsan] Sridhar, S.[Srividhya] Sridhar, S.[Sandhya]
26 for Sridhar, S.

Sridhar, S.N.[Sharath Nittur] * 2023: InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning

Sridhar, V. * 1991: Clustering algorithms for library comparison
* 1992: Time-normalization techniques for speaker-independent isolated word recognition
* 1994: Effective Clustering Technique for Feature-Extraction, An
* 2005: Description Selection Scheme for Intermediate Frame Based Multiple Description Video Streaming
* 2019: Deriving the Reservoir Conditions for Better Water Resource Management Using Satellite-Based Earth Observations in the Lower Mekong River Basin
* 2021: Drone-Based Community Assessment, Planning, and Disaster Risk Management for Sustainable Development
* 2021: Fast Approximation of Color Morphology
* 2021: Fast Morphological Dilation and Erosion for Grey Scale Images Using the Fourier Transform
* 2021: Sampling of Non-flat Morphology for Grey Value Images
* 2022: Exact Fast Fourier Method for Morphological Dilation and Erosion Using the Umbra Technique, An
* 2023: X-Ray Spectral Estimation Using Dictionary Learning
Includes: Sridhar, V. Sridhar, V.[Venkataramana] Sridhar, V.[Venkat] Sridhar, V.[Vivek] Sridhar, V.[Venkatesh]
11 for Sridhar, V.

Sridhar, V.G. * 2011: Evaluation of the surface finish of ground components and study on lighting conditions in machine vision system

Sridhar, V.N. * 2008: Impact of Surface Anisotropy on Classification Accuracy of Selected Vegetation Classes: An Evaluation Using Multidate Multiangular MISR Data Over Parts of Madhya Pradesh, India

Sridhara, S.N.[Shashank N.] * 2021: Cylindrical Coordinates for Lidar Point Cloud Compression

Sridharan, A. * 2004: Fast model based stereo matching using soar

Sridharan, D.[Devarajan] * 2022: Robust outlier detection by de-biasing VAE likelihoods

Sridharan, K.[Karthik] * 2005: Probabilistic Approach to Semantic Face Retrieval System, A
* 2006: Competitive Mixtures of Simple Neurons
* 2006: Identifying Handwritten Text in Mixed Documents
* 2015: Very large-scale integration architecture for video stabilisation and implementation on a field programmable gate array-based autonomous vehicle
Includes: Sridharan, K.[Karthik] Sridharan, K.

Sridharan, K.S. * 2017: Certain investigation on iris image recognition using hybrid approach of Fourier transform and Bernstein polynomials

Sridharan, M. * 2004: Towards on-board color constancy on mobile robots
* 2006: Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data
* 2010: Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs
Includes: Sridharan, M. Sridharan, M.[Mohan]

Sridharan, P.N. * 1996: Synthesized data structure for video data: a formal specification

Sridharan, R.[Ramesh] * 2010: Nonparametric hierarchical Bayesian model for functional brain parcellation

Sridharan, S.[Sridha] * 1998: Approach to Statistical Lip Modelling for Speaker Identification via Chromatic Feature Extraction, An
* 1999: Robust Speaker Verification via Asynchronous Fusion of Speech and Lip Information
* 2000: Initialised Eigenlip Estimator for Fast Lip Tracking Using Linear Regression
* 2000: Vector quantization based Gaussian modeling for speaker verification
* 2001: Face Recognition Using Fractal Codes
* 2001: Importance Coding of Still Imagery Based on Importance Maps of Visually Interpretable Regions
* 2001: Suitability Metric for Mouth Tracking Through Chromatic Segmentation, A
* 2002: Adaptive mouth segmentation using chromatic features
* 2003: Improved Facial-Feature Detection for AVSP via Unsupervised Clustering and Discriminant Analysis
* 2004: Application of Fractal Image-Set Coding in Facial Recognition, An
* 2004: Face authentication test on the BANCA database
* 2004: Face recognition from 3d data using iterative closest point algorithm and gaussian mixture models
* 2004: Importance prioritisation in JPEG 2000 for improved interpretability
* 2004: Multi-spectral stereo image matching using mutual information
* 2004: Speaker Identification Using Higher Order Spectral Phase Features and their Effectiveness vis-a-vis Mel-Cepstral Features
* 2004: Techniques for improving stereo depth maps of faces
* 2004: Visual attention based ROI maps from gaze tracking data
* 2005: Real-Time Adaptive Foreground/Background Segmentation
* 2005: Texture for Script Identification
* 2006: Combined 2D/3D Face Recognition Using Log-Gabor Templates
* 2006: Feature Modelling of PCA Difference Vectors for 2D and 3D Face Recognition
* 2006: Gaze tracking for region of interest coding in JPEG 2000
* 2006: Human Face Reconstruction Using Bayesian Deformable Models
* 2006: Multi-Class Tracker Using a Scalable Condensation Filter, A
* 2006: Multi-view Intelligent Vehicle Surveillance System
* 2006: On the Performance and Use of Speaker Recognition Systems for Surveillance
* 2006: Role of Motion Models in Super-Resolving Surveillance Video for Face Recognition, The
* 2006: What Is the Average Human Face?
* 2007: adaptive optical flow technique for person tracking systems, An
* 2007: Robust 3D Face Recognition from Expression Categorisation
* 2007: Super-Resolved Faces for Improved Face Recognition from Surveillance Video
* 2007: SVM Speaker Verification Using Session Variability Modelling and GMM Supervectors
* 2008: 3D face verification using a free-parts approach
* 2008: Improved GrabCut Segmentation via GMM Optimisation
* 2008: Least squares congealing for unsupervised alignment of images
* 2008: Normalisation and Recognition of 3D Face Data Using Robust Hausdorff Metric
* 2009: Affine Adaptation of Local Image Features Using the Hessian Matrix
* 2009: Automatically detecting action units from faces of pain: Comparing shape and appearance features
* 2009: Crowd Counting Using Multiple Local Features
* 2009: Data-Driven Impostor Selection for T-Norm Score Normalisation and the Background Dataset in SVM-Based Speaker Verification
* 2009: Dense Correspondence Extraction in Difficult Uncalibrated Scenarios
* 2009: Dynamic Performance Measures for Object Tracking Systems
* 2009: Efficient constrained local model fitting for non-rigid face alignment
* 2009: Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking
* 2009: Least-squares congealing for large numbers of images
* 2009: Minimising Speaker Verification Utterance Length through Confidence Based Early Verification Decisions
* 2009: Scatter Difference NAP for SVM Speaker Recognition
* 2009: Soft-Biometrics: Unconstrained Authentication in a Surveillance Environment
* 2010: Accurate Silhouettes for Surveillance: Improved Motion Segmentation Using Graph Cuts
* 2010: Crowd Counting Using Group Tracking and Local Features
* 2010: Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move
* 2010: Frequency Decomposition Techniques for Increased Discriminative 3D Facial Information Capture
* 2010: Group Segmentation During Object Tracking Using Optical Flow Discontinuities
* 2010: Multi-Modal Object Tracking using Dynamic Performance Metrics
* 2011: 3D ellipsoid fitting for multi-view gait recognition
* 2011: Activity Modelling in Crowded Environments: A Soft-Decision Approach
* 2011: Automatically Detecting Pain in Video Through Facial Action Units
* 2011: Compressive Sensing for Gait Recognition
* 2011: Determining operational measures from multi-camera surveillance systems using soft biometrics
* 2011: Evaluating Automatic Road Detection across a Large Aerial Imagery Collection
* 2011: Exploration of Feature Detector Performance in the Thermal-Infrared Modality, An
* 2011: Feature-domain super-resolution for iris recognition
* 2011: Fourier Active Appearance Models
* 2011: Graph Rigidity for Near-Coplanar Structure from Motion
* 2011: Negative Determinant of Hessian Features
* 2011: Person-independent facial expression detection using Constrained Local Models
* 2011: Practical Improvements to Simultaneous Computation of Multi-view Geometry and Radial Lens Distortion
* 2011: Scene Invariant Crowd Counting
* 2011: Sparse Temporal Representations for Facial Expression Recognition
* 2011: Textures of optical flow for real-time anomaly detection in crowds
* 2011: Unusual Event Detection in Crowded Scenes Using Bag of LBPs in Spatio-Temporal Patches
* 2011: Visual Voice Activity Detection Using Frontal versus Profile Views
* 2011: Wide baseline correspondence extraction beyond local features
* 2012: Activity Analysis in Complicated Scenes Using DFT Coefficients of Particle Trajectories
* 2012: Anchored Deformable Face Ensemble Alignment
* 2012: Anomalous Event Detection Using a Semi-Two Dimensional Hidden Markov Model
* 2012: Backfilled GEI: A Cross-Capture Modality Gait Feature for Frontal and Side-View Gait Recognition, The
* 2012: Can You Describe Him for Me? A Technique for Semantic Person Search in Video
* 2012: Database for Person Re-Identification in Multi-Camera Surveillance Networks, A
* 2012: Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters
* 2012: Evaluation of image resolution and super-resolution on face recognition performance
* 2012: Feature-domain super-resolution framework for Gabor-based face and iris recognition
* 2012: Hand-held monocular SLAM in thermal-infrared
* 2012: Hessian-Based Affine Adaptation of Salient Local Image Features
* 2012: Improved facial expression recognition via uni-hyperplane classification
* 2012: In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration
* 2012: On the Statistical Determination of Optimal Camera Configurations in Large Scale Surveillance Networks
* 2012: Self-calibration of wireless cameras with restricted degrees of freedom
* 2012: Spatio Temporal Feature Evaluation for Action Recognition
* 2012: Unusual Scene Detection Using Distributed Behaviour Model and Sparse Representation
* 2013: Deformable face ensemble alignment with robust grouped-L1 anchors
* 2013: Evaluation of Different Features and Learning Models for Anomalous Event Detection, An
* 2013: Evaluation of two-view geometry methods with automatic ground-truth generation
* 2013: Fourier Lucas-Kanade Algorithm
* 2013: Histogram of Weighted Local Directions for Gait Recognition
* 2013: Large-Scale Analysis of Formations in Soccer
* 2013: Person Re-Identification Using Group Information
* 2013: Predicting Shot Locations in Tennis Using Spatiotemporal Data
* 2013: Quality Based Frame Selection for Face Clustering in News Video
* 2013: Rank Minimization across Appearance and Shape for AAM Ensemble Fitting
* 2013: Recognising Team Activities from Noisy Data
* 2013: Semi-Binary Based Video Features for Activity Representation
* 2013: Swimmer Localization from a Moving Camera
* 2014: Automatic UAV Forced Landing Site Detection Using Machine Learning
* 2014: Forecasting Events Using an Augmented Hidden Conditional Random Field
* 2014: Learning Detectors Quickly with Stationary Statistics
* 2014: Local inter-session variability modelling for object classification
* 2014: Locating People in Video from Semantic Descriptions: A New Database and Approach
* 2014: MRF based abnormal event detection approach using motion and appearance features, An
* 2014: Multiple Instance Dictionary Learning for Activity Representation
* 2014: Optimal Camera Planning Under Versatile User Constraints in Multi-Camera Image Processing Systems
* 2014: Predicting movie ratings from audience behaviors
* 2014: Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach
* 2014: Scene invariant multi camera crowd counting
* 2014: Supervised Latent Dirichlet Allocation Models for Efficient Activity Representation
* 2014: Understanding and analyzing a large collection of archived swimming videos
* 2014: Unsupervised Temporal Ensemble Alignment for Rapid Annotation
* 2015: Class-specific sparse codes for representing activities
* 2015: Closed-Form Solutions for Low-Rank Non-Rigid Reconstruction
* 2015: Combat sports analytics: Boxing punch classification using overhead depth imagery
* 2015: Efficient and Robust System for Multiperson Event Detection in Real-World Indoor Surveillance Scenes, An
* 2015: evaluation of crowd counting methods, features and regression models, An
* 2015: Improving deep convolutional neural networks with unsupervised feature learning
* 2015: Large scale monitoring of crowds and building utilisation: A new database and distributed approach
* 2015: Learning Temporal Alignment Uncertainty for Efficient Event Detection
* 2015: Predicting Ball Ownership in Basketball from a Monocular View Using Only Player Trajectories
* 2015: Robust Automatic Face Clustering in News Video
* 2015: Score-Level Multibiometric Fusion Based on Dempster-Shafer Theory Incorporating Uncertainty Factors
* 2015: Searching for people using semantic soft biometric descriptions
* 2016: Complex Event Detection Using Joint Max Margin and Semantic Features
* 2016: Deeper and wider fully convolutional network coupled with conditional random fields for scene labeling
* 2016: Discovery of facial motions using deep machine perception
* 2016: Recent Advances in Camera Planning for Large Area Surveillance: A Comprehensive Review
* 2016: robust UAV landing site detection system using mid-level discriminative patches, A
* 2016: Vertical Axis Detection for Sport Video Analytics
* 2017: cascaded long short-term memory (LSTM) driven generic visual question answering (VQA), A
* 2017: Deep Context Modeling for Semantic Segmentation
* 2017: Deep discovery of facial motions using a shallow embedding layer
* 2017: Deep Spatio-Temporal Features for Multimodal Emotion Recognition
* 2017: Facial analysis in the wild with LSTM networks
* 2017: Fast, Dense Feature SDM on an iPhone
* 2017: Fine-grained action recognition of boxing punches from depth imagery
* 2017: From Affine Rank Minimization Solution to Sparse Modeling
* 2017: Gate connected convolutional neural network for object tracking
* 2017: Going Deeper: Autonomous Steering with Neural Memory Networks
* 2017: Long range iris recognition: A survey
* 2017: Probabilistic Surfel Fusion for Dense LiDAR Mapping
* 2017: Single image depth prediction using super-column super-pixel features
* 2017: Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition
* 2017: Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks
* 2018: Deep Decision Trees for Discriminative Dictionary Learning with Adversarial Multi-agent Trajectories
* 2018: Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-Detection, A
* 2018: Deep Match Tracker: Classifying when Dissimilar, Similarity Matching when Not
* 2018: Deep spatio-temporal feature fusion with compact bilinear pooling for multimodal emotion recognition
* 2018: GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
* 2018: Hierarchical Relational Attention for Video Question Answering
* 2018: Human-level face verification with intra-personal factor analysis and deep face representation
* 2018: Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
* 2018: Learning Free-Form Deformations for 3D Object Reconstruction
* 2018: Meta Transfer Learning for Facial Emotion Recognition
* 2018: Multi-level Sequence GAN for Group Activity Recognition
* 2018: Non-rigid Reconstruction with a Single Moving RGB-D Camera
* 2018: Rethinking Planar Homography Estimation Using Perspective Fields
* 2018: Super-resolution for biometrics: A comprehensive survey
* 2018: Task Specific Visual Saliency Prediction with Memory Augmented Conditional Generative Adversarial Networks
* 2018: Tracking by Prediction: A Deep Generative Model for Mutli-person Localisation and Tracking
* 2019: Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation
* 2019: Multi-Component Image Translation for Deep Domain Generalization
* 2019: Multimodal clothing recognition for semantic search in unconstrained surveillance imagery
* 2019: Neighbourhood Context Embeddings in Deep Inverse Reinforcement Learning for Predicting Pedestrian Motion Over Long Time Horizons
* 2019: Predicting the Future: A Jointly Learnt Model for Action Anticipation
* 2019: Scene Invariant Virtual Gates Using DNNs
* 2019: Semantic Correspondence in the Wild
* 2019: Sparse over-complete patch matching
* 2020: Constrained Design of Deep Iris Networks
* 2020: Context from within: Hierarchical context modeling for semantic segmentation
* 2020: Correlation-aware adversarial domain adaptation and generalization
* 2020: Fine-grained action segmentation using the semi-supervised action GAN
* 2020: Hierarchical Attention Network for Action Segmentation
* 2020: Joint identification-verification for person re-identification: A four stream deep learning approach with improved quartet loss function
* 2020: LSTM guided ensemble correlation filter tracking with appearance model pool
* 2020: MTRNet++: One-stage mask-based scene text eraser
* 2020: Semantic Consistency and Identity Mapping Multi-Component Generative Adversarial Network for Person Re-Identification
* 2021: Deep Inverse Reinforcement Learning for Behavior Prediction in Autonomous Driving: Accurate Forecasts of Vehicle Motion
* 2021: IGSSTRCF: Importance Guided Sparse Spatio-Temporal Regularized Correlation Filters For Tracking
* 2021: Learning Regional Attention Over Multi-Resolution Deep Convolutional Features for Trademark Retrieval
* 2021: Multi-modal semantic image segmentation
* 2021: Reduction of Feature Contamination for Hyper Spectral Image Classification
* 2021: TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition
* 2022: Central hubs prediction for bio networks by directed hypergraph: GA with validation to COVID-19 PPI
* 2022: Channel Graph Regularized Correlation Filters for Visual Object Tracking
* 2022: Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition
* 2022: efficient framework for zero-shot sketch-based image retrieval, An
* 2022: Learning test-time augmentation for content-based image retrieval
* 2022: SESS: Saliency Enhancing with Scaling and Sliding
* 2022: Split n merge net: A dynamic masking network for multi-task attention
* 2023: Complex-Valued Iris Recognition Network
* 2023: Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization
* 2023: Pose-driven attention-guided image generation for person re-Identification
Includes: Sridharan, S.[Sridha] Sridharan, S. Sridharan, S.[Supriya]
199 for Sridharan, S.

Index for "s"


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