Index for siva

Siva Sankari, S.G. * 2013: Fusion of satellite images using Compressive Sampling Matching Pursuit (CoSaMP) method

Siva, G.S.[Gutti Samba] * 2024: Mapping Leaf Area Index at Various Rice Growth Stages in Southern India Using Airborne Hyperspectral Remote Sensing

Siva, P.[Parthipan] * 2007: Automated Detection of Mitosis in Embryonic Tissues
* 2010: Action Detection in Crowd
* 2011: Weakly Supervised Action Detection
* 2011: Weakly supervised object detector learning with model drift detection
* 2012: In Defence of Negative Mining for Annotating Weakly Labelled Data
* 2012: Transfer Learning by Ranking for Weakly Supervised Object Annotation
* 2013: Looking Beyond the Image: Unsupervised Learning for Object Saliency and Detection
* 2014: Efficient Bayesian inference using fully connected conditional random fields with stochastic cliques
* 2014: Grid Seams: A Fast Superpixel Algorithm for Real-Time Applications
* 2015: DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals
* 2015: DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals
* 2015: PIRM: Fast background subtraction under sudden, local illumination changes via probabilistic illumination range modelling
* 2015: Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving
* 2016: Efficient Deep Feature Learning and Extraction via StochasticNets
* 2016: Embedded Motion Detection via Neural Response Mixture Background Modeling
* 2016: NeRD: A Neural Response Divergence Approach to Visual Saliency Detection
* 2016: Real-Time, Embedded Scene Invariant Crowd Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)
* 2017: Scale-Corrected Background Modeling
* 2018: Evaluation of Deep CNN Baselines for Scene-Independent Person Re-identification, An
* 2020: Pose Guided Gated Fusion for Person Re-identification
* 2020: Unsupervised Domain Adaptation in Person re-ID via k-Reciprocal Clustering and Large-Scale Heterogeneous Environment Synthesis
* 2022: Self-Supervised Shape Alignment for Sports Field Registration
Includes: Siva, P.[Parthipan] Siva, P.
22 for Siva, P.

Siva, R.[Rathinavelayutham] * 2022: Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach

Siva, S.[Sriram] * 2019: Scalable Representation Learning for Long-Term Augmented Reality-Based Information Delivery in Collaborative Human-Robot Perception

Sivabalan, A. * 2018: ZA-APA with zero attractor controller selection criterion for sparse system identification

Sivabalan, K.R. * 2020: Surface segmentation and environment change analysis using band ratio phenology index method- supervised aspect

Sivadas, S.I.[Sun Il] * 2018: Analysis of cosine distance features for speaker verification
Includes: Sivadas, S.I.[Sun Il] Sivadas, S.I.[Sun-Il]

Sivagurunath, M.[Munish] * 1999: Evaluation of Texture Segmentation Algorithms

Sivakanthan, S.[Sivashankar] * 2022: Curb Negotiation With Dynamic Human-Robotic Wheelchair Collaboration

Sivakumar, A.N.V.[Arun Narenthiran Veeranampalayam] * 2020: Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery

Sivakumar, B. * 2005: Performance Evaluation of Neural Tuned Successive Interference Canceller
* 2022: Effects of Mulching on Maize Yield and Evapotranspiration in the Heihe River Basin, Northwest China
Includes: Sivakumar, B. Sivakumar, B.[Bellie]

Sivakumar, G. * 1999: Extracting Decision Trees from Trained Neural Networks
* 1999: Search Technique for Rule Extraction from Trained Neural Networks, A

Sivakumar, J. * 1997: Morphologically Constrained Gibbs Random Fields
* 1998: MAP estimation of a class of morphologically constrained Gibbs random fields

Sivakumar, K. * 1995: Morphological Operators for Image Sequences
* 1995: On the morphological analysis of binary random fields
* 1996: Binary Random-Fields, Random Closed-Sets, and Morphological Sampling
* 1997: Discrete Morphological Size Distributions and Densities: Estimation Techniques and Applications
* 1997: On the Discretization of Morphological Operators
* 1999: Morphologically Constrained GRFs: Applications to Texture Synthesis and Analysis
* 2000: Constant-time Algorithm for Erosions/Dilations with Applications to Morphological Texture Feature Computation, A
* 2000: Morphological Estimator for Clique Potentials of Binary Markov Random Fields, A
* 2001: Asymptotic joint normality of the granulometric moments
* 2007: Row-Column Soft-Decision Feedback Algorithm for Two-Dimensional Intersymbol Interference
Includes: Sivakumar, K. Sivakumar, K.[Krishnamoorthy]
10 for Sivakumar, K.

Sivakumar, M. * 2021: Fast and efficient lossless encoder in image compression with low computation and low memory

Sivakumar, P. * 2017: CANFIS based glioma brain tumor classification and retrieval system for tumor diagnosis
* 2017: efficient automated methodology for detecting and segmenting the ischemic stroke in brain MRI images, An

Sivakumar, P.B. * 2016: Bayesian nonparametric Multiple Instance Regression

Sivakumar, P.K.[Prasanna Kumar] * 2021: Multi-Echo LiDAR for 3D Object Detection

Sivakumar, R. * 2005: Automatic Detection of Microcalcification in Mammograms: A Review
* 2012: Large-Scale Situation Awareness With Camera Networks and Multimodal Sensing
* 2021: Nonsubsampled contourlet transform with cross-guided bilateral filter for despeckling of medical ultrasound images
Includes: Sivakumar, R. Sivakumar, R.[Rajagopal]

Sivakumar, V.[Venkataraman] * 2013: Remote sensing of atmospheric aerosols in South Africa
* 2023: Aerosol Optical Properties and Types over Southern Africa and Reunion Island Determined from Ground-Based and Satellite Observations over a 13-Year Period (2008-2021)
* 2024: efficient lung image classification and detection using spiral-optimized Gabor filter with convolutional neural network, An
Includes: Sivakumar, V.[Venkataraman] Sivakumar, V.

Sivakumaran, P. * 2006: Verification effectiveness in open-set speaker identification
* 2012: Effective speaker verification via dynamic mismatch compensation

Sivakumari, S. * 2019: Early detection of brain cancer using association allotment hierarchical clustering

Sivalingam, R.[Ravishankar] * 2009: Counting People in Groups
* 2010: Tensor Sparse Coding for Region Covariances
* 2011: Positive definite dictionary learning for region covariances
* 2012: nonintrusive system for behavioral analysis of children using multiple RGB+depth sensors, A
* 2012: Reconstructing and analyzing periodic human motion from stationary monocular views
* 2013: Classification and Counting of Composite Objects in Traffic Scenes Using Global and Local Image Analysis
* 2014: Tensor Sparse Coding for Positive Definite Matrices
* 2015: Tensor Dictionary Learning for Positive Definite Matrices
Includes: Sivalingam, R.[Ravishankar] Sivalingam, R.[Ravi] Sivalingam, R.
8 for Sivalingam, R.

Sivalingam, S.[Sivaranjani] * 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

Sivaloganathan, S.[Sivabal] * 2010: Elastography of Biological Tissue: Direct Inversion Methods That Allow for Local Shear Modulus Variations

Sivan, D. * 2020: Improving Vertical Accuracy of UAV Digital Surface Models By Introducing Terrestrial Laser Scans on A Point-cloud Level

Sivan, Z.[Zohar] * 1994: Change detection and texture analysis for image sequence coding

Sivanandam, P.[Poornima] * 2022: Tree Detection and Species Classification in a Mixed Species Forest Using Unoccupied Aircraft System (UAS) RGB and Multispectral Imagery

Sivankutty, S.[Siddharth] * 2022: Compressive Imaging Through Optical Fiber with Partial Speckle Scanning

Sivanraj, R.[Rathi] * 2022: Attention-Based Multiscale Spatiotemporal Network for Traffic Forecast with Fusion of External Factors

Sivapalan, S.[Subarna] * 2009: Designing 3 Dimensional Virtual Reality Using Panoramic Image
* 2011: 3D ellipsoid fitting for multi-view gait recognition
* 2011: Compressive Sensing for Gait Recognition
* 2012: Backfilled GEI: A Cross-Capture Modality Gait Feature for Frontal and Side-View Gait Recognition, The
* 2013: Histogram of Weighted Local Directions for Gait Recognition
* 2020: MTRNet++: One-stage mask-based scene text eraser
Includes: Sivapalan, S.[Subarna] Sivapalan, S. Sivapalan, S.[Sabesan]

Sivaprakasam, M.[Mohanasankar] * 2021: Style Transfer based Coronary Artery Segmentation in X-ray Angiogram
* 2023: HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction

Sivaprakasapillai, P. * 1997: Novel Scheme for Optimizing Partitioned VQ Using a Modified Resolution Measure, A

Sivaprasad, S.[Sarath] * 2021: Color Me Good: Branding in the Coloring Style of Movie Posters

Sivaraj, D. * 2012: Development of navigation system for autonomous vehicle

Sivaraj, R. * 2013: Video Delivery Challenges and Opportunities in 4G Networks

Sivarajah, Y. * 2012: Studying the Impact of Feature Saliency for Geoscientific Target Detection Using Electroencephalography (EEG)
* 2012: Visualising Full Tensor Gradient Gravity Data Using Texture and Colour Cues

Sivaramakrishna, R. * 1996: Separation of image parts using 2-D parallel form recursive filters

Sivaramakrishnam, R. * 1995: Zone Classification in a Document Using the Method of Feature Vector Generation

Sivaramakrishnan, K. * 2006: Universal Denoising of Continuous Amplitude Signals with Applications to Images

Sivaramakrishnan, R. * 2011: Non-metrical scene reconstruction using a quasi-calibrated prime lens based camera
* 2012: Focus measures for SFF-inspired relative depth estimation

Sivaramakrishnan, S. * 2014: switchable light field camera architecture with Angle Sensitive Pixels and dictionary-based sparse coding, A
* 2016: ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels

Sivaraman, A.[Audithan] * 2022: improved entity recognition approach to cyber-social knowledge provision of intellectual property using a CRF-LSTM model, An

Sivaraman, H.[Hari] * 2018: Large Scale Application Response Time Measurement Using Image Recognition and Deep Learning

Sivaraman, K. * 1983: Data Compression Through a Rectangular Transform
* 1984: Study of Rectangular Transforms for Data Compression, A

Sivaraman, R. * 2013: novel approach using T.H.E.S methodology for CBIR, A
* 2020: Ring oscillator as confusion- diffusion agent: A complete TRNG drove image security
Includes: Sivaraman, R. Sivaraman, R.[Rethinam]

Sivaraman, S.[Sayanan] * 2010: General Active-Learning Framework for On-Road Vehicle Recognition and Tracking, A
* 2011: Learning multi-lane trajectories using vehicle-based vision
* 2013: Integrated Lane and Vehicle Detection, Localization, and Tracking: A Synergistic Approach
* 2013: Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis
* 2013: Vehicle Detection by Independent Parts for Urban Driver Assistance
* 2014: Active learning for on-road vehicle detection: a comparative study
* 2014: Dynamic Probabilistic Drivability Maps for Lane Change and Merge Driver Assistance
Includes: Sivaraman, S.[Sayanan] Sivaraman, S.
7 for Sivaraman, S.

Sivaraman, V. * 2010: Optimal PET Protection for Streaming Scalably Compressed Video Streams With Limited Retransmission Based on Incomplete Feedback
* 2013: PET Protection Optimization for Streaming Scalable Videos With Multiple Transmissions
* 2021: Efficient Video Compression via Content-Adaptive Super-Resolution
Includes: Sivaraman, V. Sivaraman, V.[Vibhaalakshmi]

Sivasankaran, K. * 2016: Forensic video solution using facial feature-based synoptic Video Footage Record

Sivasankaran, S.J.[Shi Ju] * 2014: Surround View Camera Solution for Embedded Systems, A
Includes: Sivasankaran, S.J.[Shi Ju] Sivasankaran, S.J.[Shi-Ju]

Sivasankari, K. * 2011: Quaternion Based Highlight and Shadow Detection for 3D Surface Recognition

Sivashankari, V. * 2019: Assessment of Land Cover Change Dynamics of Gaja Cyclone in Coastal Tamil Nadu, India Using Sentinel 1 Sar Dataset, An

Sivasubramani, S. * 2022: Optimal Allocation of EV Charging Stations in a Radial Distribution Network Using Probabilistic Load Modeling

Sivasubramanian, A. * 2013: PMD induced broadening on propagation of Chirped Super Gaussian pulse in single mode optical fiber

Sivasubramanian, D.[Durga] * 2024: Gradient Coreset for Federated Learning
* 2024: Using Early Readouts to Mediate Featural Bias in Distillation

Sivasundaram, S.[Sivagami] * 2021: Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture

Sivaswamy, J. * 1999: IMECO: A Reconfigurable FPGA-based Image Enhancement Co-Processor Framework
* 2001: Edge detection in a hexagonal-image processing framework
* 2001: Real-Time Implementation of Nonlinear Unsharp Masking with FPLDs, A
* 2001: simple mechanism for curvature detection, A
* 2004: Hexagonal Image Processing: A Practical Approach
* 2006: Alternative Curvature Measure for Topographic Feature Detection, An
* 2006: Computational Model for Boundary Detection, A
* 2006: Script Identification from Indian Documents
* 2007: generalised framework for script identification, A
* 2008: Appearance-based object detection in colour retinal images
* 2008: Colour Retinal Image Enhancement Based on Domain Knowledge
* 2008: Image Denoising Using Matched Biorthogonal Wavelets
* 2008: Impulse Noise Removal from Color Images with Hopfield Neural Network and Improved Vector Median Filter
* 2010: Local descriptor based on texture of projections
* 2010: Motion deblurring as optimisation
* 2010: Robust optic disk segmentation from colour retinal images
* 2010: Vessel Bend-Based Cup Segmentation in Retinal Images
* 2011: Optic Disk and Cup Segmentation From Monocular Color Retinal Images for Glaucoma Assessment
* 2012: Automatic Assessment of Macular Edema From Color Retinal Images
* 2012: Detection and discrimination of disease-related abnormalities based on learning normal cases
* 2012: Detection of Peri-Papillary Atrophy and RNFL Defect from Retinal Images
* 2012: efficient, bolus-stage based method for motion correction in perfusion weighted MRI, An
* 2013: Time-frequency analysis based motion detection in perfusion weighted MRI
* 2015: Online handwriting recognition using depth sensors
* 2015: PET image reconstruction and denoising on hexagonal lattices
* 2018: Construction of a Retinal Atlas for Macular OCT Volumes
* 2018: Retinal Image Synthesis for CAD Development
* 2019: RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
* 2020: Fast Method For Shape Template Generation, A
Includes: Sivaswamy, J. Sivaswamy, J.[Jayanthi]
29 for Sivaswamy, J.

Index for "s"


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