Srivanit, M.[Manat]
* 2022: Exploring the Association of Spatial Capital and Economic Diversity in the Tourist City of Surat Thani, Thailand
Srivaratharasan, T.[Tharmalingam]
* 2018: Application of Geospatial Techniques for Groundwater Quality and Availability Assessment: A Case Study in Jaffna Peninsula, Sri Lanka
Srivastav, A.
* 2007: Enhanced Quantum Evolutionary Algorithms for Difficult Knapsack Problems
* 2010: Self-organization of sensor networks for detection of pervasive faults
* 2010: Symbolic dynamic filtering for image analysis: Theory and experimental validation
Includes: Srivastav, A. Srivastav, A.[Abhishek]
Srivastav, R.[Roshan]
* 2022: Uncertainties in Prediction of Streamflows Using SWAT Model: Role of Remote Sensing and Precipitation Sources
* 2023: Multiscale Variability of Hydrological Responses in Urbanizing Watershed
Srivastav, S.K.
* 2020: Estimation of Hydro-meteorological Extremes In Beas Basin Over Historic, Present and Future Scenario
* 2021: Assessing the Effect of Training Sampling Design on the Performance of Machine Learning Classifiers for Land Cover Mapping Using Multi-Temporal Remote Sensing Data and Google Earth Engine
Srivastav, V.
* 2020: Synergistic Use of Remote Sensing, GIS and Hydrological Models For Study of August 2018 Kerala Floods
Srivastava, A.[Anurag]
* 1990: comparison between conceptual clustering and conventional clustering, A
* 1995: Multiple Target Direction of Arrival Tracking
* 1998: Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR
* 2000: Asymptotic performance analysis of Bayesian object recognition
* 2001: Analytical Models for Reduced Spectral Representations of Images
* 2001: Compact Probability Model for Natural Clutter, A
* 2001: Image Segmentation Using Local Spectral Histograms
* 2001: Probability Models for Clutter in Natural Images
* 2001: Spectral Probability Models for IR Images With Applications to IR Face Recognition
* 2002: Analytical Image Models and Their Applications
* 2002: Spaces and subspaces of images for recognition
* 2002: spectral representation for appearance-based classification and recognition, A
* 2002: Universal Analytical Forms for Modeling Image Probabilities
* 2003: On Advances in Statistical Modeling of Natural Images
* 2003: Optimal linear representations of images for object recognition
* 2003: Statistical hypothesis pruning for identifying faces from infrared images
* 2004: Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
* 2004: Elastic-string models for representation and analysis of planar shapes
* 2004: Hierarchical Organization of Shapes for Efficient Retrieval
* 2004: Optimal linear representations of images for object recognition
* 2005: 3D Curve Interpolation and Object Reconstruction
* 2005: Bayesian MRF Framework for Labeling Terrain Using Hyperspectral Imaging, A
* 2005: Maximum-Likelihood Estimation of Biological Growth Variables
* 2005: Statistical Shape Analysis: Clustering, Learning, and Testing
* 2006: Contour Inferences for Image Understanding
* 2006: Cyclostationary Processes on Shape Spaces for Gait-Based Recognition
* 2006: Face recognition using optimal linear components of range images
* 2006: Geodesics Between 3D Closed Curves Using Path-Straightening
* 2006: Statistical Shape Models Using Elastic-String Representations
* 2006: Three-Dimensional Face Recognition Using Shapes of Facial Curves
* 2007: Novel Representation for Riemannian Analysis of Elastic Curves in Rn, A
* 2007: On Shape of Plane Elastic Curves
* 2007: Pattern-Theoretic Characterization of Biological Growth, A
* 2007: Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves
* 2007: Riemannian Analysis of Probability Density Functions with Applications in Vision
* 2007: Shape Analysis of Open Curves in R3 with Applications to Study of Fiber Tracts in DT-MRI Data
* 2008: Algorithmic and Architectural Optimizations for Computationally Efficient Particle Filtering
* 2008: Fast Content Aware Image Retargeting
* 2008: Modeling spatial patterns of shapes
* 2008: Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
* 2009: Elastic Shape Models for Face Analysis Using Curvilinear Coordinates
* 2009: Fitting Curves on Riemannian Manifolds Using Energy Minimization
* 2009: Intrinsic Bayesian Active Contours for Extraction of Object Boundaries in Images
* 2009: Intrinsic Framework for Analysis of Facial Surfaces, An
* 2009: Looking for Shapes in Two-Dimensional Cluttered Point Clouds
* 2009: Nasal Region Contribution in 3D Face Biometrics Using Shape Analysis Framework
* 2009: Riemannian analysis of 3D nose shapes for partial human biometrics, A
* 2010: Detection of Shapes in 2D Point Clouds Generated from Images
* 2010: Elastic radial curves to model 3D facial deformations
* 2010: Elastic Riemannian frameworks and statistical tools for shape analysis
* 2010: fully statistical framework for shape detection in image primitives, A
* 2010: Guest Editors' Introduction to the Special Section on Shape Analysis and Its Applications in Image Understanding
* 2010: Local 3D Shape Analysis for Facial Expression Recognition
* 2010: novel riemannian framework for shape analysis of 3D objects, A
* 2010: Pose and Expression-invariant 3d Face Recognition using Elastic Radial Curves
* 2011: Blurring-invariant Riemannian metrics for comparing signals and images
* 2011: Dynamic-Zone-Based Coordinated Ramp-Metering Algorithm With Queue Constraints for Minnesota's Freeways, A
* 2011: Parameterization-Invariant Shape Comparisons of Anatomical Surfaces
* 2011: Selecting 3d Curves On The Nasal Surface Using Adaboost for Person Authentication
* 2011: Shape Analysis of Elastic Curves in Euclidean Spaces
* 2011: Shape analysis of local facial patches for 3D facial expression recognition
* 2011: Silhouette-based gesture and action recognition via modeling trajectories on Riemannian shape manifolds
* 2011: Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition
* 2012: 3D dynamic expression recognition based on a novel Deformation Vector Field and Random Forest
* 2012: Affine-invariant, elastic shape analysis of planar contours
* 2012: Elastic Geodesic Paths in Shape Space of Parameterized Surfaces
* 2012: Elastic Shape Matching of Parameterized Surfaces Using Square Root Normal Fields
* 2012: Elastic symmetry analysis of anatomical structures
* 2012: Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds
* 2012: geometric analysis of ODFs as oriented surfaces for interpolation, averaging and denoising in HARDI data, A
* 2012: Novel Framework for Metric-Based Image Registration, A
* 2012: On advances in differential-geometric approaches for 2D and 3D shape analyses and activity recognition
* 2012: Riemannian Elastic Metric for Shape-Based Plant Leaf Classification, A
* 2012: SUPIR: Surface Uncertainty-Penalized, Non-rigid Image Registration for Pelvic CT Imaging
* 2013: 3D Face Recognition under Expressions, Occlusions, and Pose Variations
* 2013: Elastic shapes models for improving segmentation of object boundaries in synthetic aperture sonar images
* 2013: Gaussian Blurring-Invariant Comparison of Signals and Images
* 2013: Parallel Transport of Deformations in Shape Space of Elastic Surfaces
* 2013: Rate-invariant comparisons of covariance paths for visual speech recognition
* 2013: Shadow Segmentation in SAS and SAR Using Bayesian Elastic Contours
* 2013: Statistical analysis of manual segmentations of structures in medical images
* 2013: Statistical shape models of plant leaves
* 2014: 2D Affine and Projective Shape Analysis
* 2014: 4-D Facial Expression Recognition by Learning Geometric Deformations
* 2014: Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior
* 2014: Differential geometric representations and algorithms for some pattern recognition and computer vision problems
* 2014: Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization
* 2014: Handwritten Text Segmentation Using Elastic Shape Analysis
* 2014: Metric-Based Pairwise and Multiple Image Registration
* 2014: Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects
* 2014: Pattern Theory-Based Interpretation of Activities
* 2014: Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition
* 2015: Accurate 3D action recognition using learning on the Grassmann manifold
* 2015: Elastic functional coding of human actions: From vector-fields to latent variables
* 2015: end-to-end system for content-based video retrieval using behavior, actions, and appearance with interactive query refinement, An
* 2015: Fusion of Global and Local Motion Estimation Using Foreground Objects for Distributed Video Coding
* 2015: Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones
* 2015: Geometric Analysis of Axonal Tree Structures
* 2015: Temporally coherent interpretations for long videos using pattern theory
* 2016: Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories
* 2016: elastic functional data analysis framework for preoperative evaluation of patients with Rheumatoid Arthritis, An
* 2016: Gauge Invariant Framework for Shape Analysis of Surfaces
* 2016: Pattern theory for representation and inference of semantic structures in videos
* 2016: Riemannian Optimization for Registration of Curves in Elastic Shape Analysis
* 2016: Surface Shape Morphometry for Hippocampal Modeling in Alzheimer's Disease
* 2016: Testing Stationarity of Brain Functional Connectivity Using Change-Point Detection in fMRI Data
* 2016: two-sample test for statistical comparisons of shape populations, A
* 2017: Elastic Functional Coding of Riemannian Trajectories
* 2017: Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces
* 2017: Spatially Coherent Interpretations of Videos Using Pattern Theory
* 2018: Elastic Handling of Predictor Phase in Functional Regression Models
* 2018: MASON: A Model AgnoStic ObjectNess Framework
* 2018: Rate-Invariant Analysis of Covariance Trajectories
* 2018: Temporal Alignment Improves Feature Quality: An Experiment on Activity Recognition with Accelerometer Data
* 2020: Analyzing Dynamical Brain Functional Connectivity as Trajectories on Space of Covariance Matrices
* 2020: Determination of Optimal Location for Setting Up Cell Phone Tower In City Environment Using Lidar Data
* 2020: Impact of INSAT-3D/3DR Radiance Data Assimilation in Predicting Tropical Cyclone Titli Over the Bay of Bengal
* 2020: Modeling Shape Dynamics During Cell Motility in Microscopy Videos
* 2020: Representations, Metrics and Statistics for Shape Analysis of Elastic Graphs
* 2021: Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-shape Responses in Statistical Shape Analysis
* 2021: Global Analysis of Atmospheric Transmissivity Using Cloud Cover, Aridity and Flux Network Datasets
* 2021: SrvfRegNet: Elastic Function Registration Using Deep Neural Networks
* 2021: Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition, A
* 2022: AGA-GAN: Attribute Guided Attention Generative Adversarial Network with U-Net for face hallucination
* 2022: Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration
* 2022: Characterizing Cell Shape Distributions Using k-Mode Kernel Mixtures
* 2022: GIS Mapping of Short-Term Noisy Event of Diwali Night in Lucknow City
* 2022: GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation
* 2022: Heterogeneous Visible Light and Radio Communication for Improving Safety Message Dissemination at Road Intersection
* 2022: Melody Generation from Lyrics Using Three Branch Conditional LSTM-GAN
* 2022: On the choice of number of superstates in the aggregation of Markov chains
* 2022: Robust 3D Garment Digitization from Monocular 2D Images for 3D Virtual Try-On Systems
* 2022: Shape Analysis of Functional Data With Elastic Partial Matching
* 2022: Single Image Haze Removal With Haze Map Optimization for Various Haze Concentrations
* 2023: 4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data
* 2023: Aboveground Forest Biomass Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning
* 2023: ConVol-E: Continuous Volumetric Embeddings for Human-Centric Dense Correspondence Estimation
* 2023: Ionospheric Perturbations Due to Large Thunderstorms and the Resulting Mechanical and Acoustic Signatures
* 2023: Multiscale Variability of Hydrological Responses in Urbanizing Watershed
* 2023: SHARP: Shape-Aware Reconstruction of People in Loose Clothing
* 2024: Elastic Shape Analysis of Tree-Like 3D Objects Using Extended SRVF Representation
* 2024: ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance
Includes: Srivastava, A.[Anurag] Srivastava, A. Srivastava, A.[Anuj] Srivastava, A.[Awadhesh] Srivastava, A.[Amit] Srivastava, A.[Ankur] Srivastava, A.[Ayush] Srivastava, A.[Abhishek] Srivastava, A.[Anubhava] Srivastava, A.[Anand] Srivastava, A.[Amber] Srivastava, A.[Astitva] Srivastava, A.[Ananya] Srivastava, A.[Abhay] Srivastava, A.[Akash]
142 for Srivastava, A.
Srivastava, A.K.[Amit K.]
* 2016: Mapping Smallholder Wheat Yields and Sowing Dates Using Micro-Satellite Data
* 2021: Simulating the Leaf Area Index of Rice from Multispectral Images
* 2021: Using Sentinel-1, Sentinel-2, and Planet Imagery to Map Crop Type of Smallholder Farms
* 2022: Assessment of Carbon Productivity Trends and Their Resilience to Drought Disturbances in the Middle East Based on Multi-Decadal Space-Based Datasets
Includes: Srivastava, A.K.[Amit K.] Srivastava, A.K.[Amit Kumar]
Srivastava, A.N.
* 1999: Data Mining for Features Using Scale-Sensitive Gated Experts
* 2005: Virtual Sensors: Using Data Mining Techniques to Efficiently Estimate Remote Sensing Spectra
* 2011: Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
* 2011: Trajectory Clustering and an Application to Airspace Monitoring
Srivastava, D.[Durgesh]
* 1996: Image coding using generalized optimal subband decomposition and vector quantization
* 2021: Multimodal Humor Dataset: Predicting Laughter tracks for Sitcoms
* 2023: Corrupting Neuron Explanations of Deep Visual Features
* 2023: How You Feelin'? Learning Emotions and Mental States in Movie Scenes
Includes: Srivastava, D.[Durgesh] Srivastava, D.[Deepankar] Srivastava, D.[Divyansh] Srivastava, D.[Dhruv]
Srivastava, D.K.[Devesh Kumar]
* 2018: Efficient image steganography using graph signal processing
Srivastava, G.[Gaurav]
* 2008: novel evidence accumulation framework for robust multi-camera person detection, A
* 2012: Locality-constrained Low Rank Coding for face recognition
* 2013: Large Visual Repository Search with Hash Collision Design Optimization
* 2013: Low-rank embedding for semisupervised face classification
* 2013: Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study
* 2014: Cascade of Box (CABOX) Filters for Optimal Scale Space Approximation
* 2019: Salient object detection using background subtraction, Gabor filters, objectness and minimum directional backgroundness
* 2020: Content Delivery Networks: State of the Art, Trends, and Future Roadmap
* 2020: Deep Neural Networks for Detecting Real Emotions Using Biofeedback and Voice
* 2020: Fake Review Classification Using Supervised Machine Learning
* 2020: Predictive model for battery life in IoT networks
* 2020: PSO-based Sanitization Process with Multi-thresholds Model, A
* 2020: User-interactive salient object detection using YOLOv2, lazy snapping, and gabor filters
* 2021: Blockchain-Based Lightweight and Secured V2V Communication in the Internet of Vehicles
* 2021: Colon tumor localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping
* 2021: Fast Encryption Scheme Suitable for Video Surveillance Applications Using SHA-256 Hash Function and 1D Sine-Sine Chaotic Map, A
* 2021: Fault-Tolerance Mechanisms for Software-Defined Internet of Vehicles
* 2021: Self-attention-based conditional random fields latent variables model for sequence labeling
* 2021: Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories, A
* 2021: Uncertain-Driven Analytics of Sequence Data in IoCV Environments
* 2022: Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems
* 2022: Efficient Multimedia Frame-Skipping Architecture Using Deep Learning in Vehicular Networks
* 2022: Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics
* 2022: Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads
* 2022: Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health
* 2022: Speech Emotion Recognition Enhanced Traffic Efficiency Solution for Autonomous Vehicles in a 5G-Enabled Space-Air-Ground Integrated Intelligent Transportation System
* 2022: Vehicle detection using improved region convolution neural network for accident prevention in smart roads
* 2023: Data Freshness Optimization Under CAA in the UAV-Aided MECN: A Potential Game Perspective
* 2023: Deep Active Learning Intrusion Detection and Load Balancing in Software-Defined Vehicular Networks
* 2023: Guest Editorial Introduction to the Special Issue on AI-Empowered Trajectory Analytics in Intelligent Transportation Systems
* 2023: Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems
* 2023: Intelligent Graph Convolutional Neural Network for Road Crack Detection
* 2023: Optimized Security Algorithms for Intelligent and Autonomous Vehicular Transportation Systems
* 2023: Secure Intelligent System for Internet of Vehicles: Case Study on Traffic Forecasting, A
* 2023: Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas, A
Includes: Srivastava, G.[Gaurav] Srivastava, G. Srivastava, G.[Gargi] Srivastava, G.[Gautam] Srivastava, G.[Garima]
35 for Srivastava, G.
Srivastava, H.S.
* 2017: Satellite-Based Probabilistic Assessment of Soil Moisture Using C-Band Quad-Polarized RISAT1 Data
Srivastava, J.[Jaideep]
* 2023: Scalable clustering by aggregating representatives in hierarchical groups
Srivastava, J.B.
* 2001: Framework for Reconstruction based Recognition of Partially Occluded Repeated Objects, A
* 2001: Reconstruction Based Recognition of Scenes with Multiple Repeated Components
* 2001: Reconstruction-Based Recognition of Scenes with Translationally Repeated Quadrics
* 2005: Novel view synthesis using a translating camera
* 2006: View Synthesis of Scenes with Multiple Independently Translating Objects from Uncalibrated Views
* 2007: On the view synthesis of man-made scenes using uncalibrated cameras
* 2008: Object Category Detection by Statistical Test of Hypothesis
* 2008: On Exploiting Affine Repetitions for 3D Reconstruction from a Single Image
* 2013: Complete visual metrology using relative affine structure
* 2013: Symmetry based 3D reconstruction of repeated cylinders
10 for Srivastava, J.B.
Srivastava, K.[Kushagra]
* 2022: UAV-based Visual Remote Sensing for Automated Building Inspection
Srivastava, M.
* 2017: Binarized Convolutional Neural Networks with Separable Filters for Efficient Hardware Acceleration
* 2022: Enhancing Robustness in Federated Learning by Supervised Anomaly Detection
* 2023: Depth Estimation from Camera Image and mmWave Radar Point Cloud
Includes: Srivastava, M. Srivastava, M.[Mani]
Srivastava, M.B.
* 2007: Exploring Tradeoffs in Accuracy, Energy and Latency of Scale Invariant Feature Transform in Wireless Camera Networks
Srivastava, M.M.[Muktabh Mayank]
* 2018: Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs
* 2020: Bag of Tricks for Retail Product Image Classification
* 2020: Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection
* 2020: Multi-domain Document Layout Understanding Using Few-shot Object Detection
Srivastava, M.P.[Mayur P.]
* 2004: Irregular, unknown light sources in dynamic global illumination
Srivastava, N.[Nitish]
* 2015: Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
* 2021: On the generalization of learning-based 3D reconstruction
* 2021: Unconstrained Scene Generation with Locally Conditioned Radiance Fields
Srivastava, P.[Pramod]
* 1998: Multimodal Image Segmentation Using a Modified Hopfield Neural Network
* 2012: PI-lambda-D-mu controller design for underactuated mechanical systems
* 2017: Integration of wavelet transform, Local Binary Patterns and moments for content-based image retrieval
* 2018: Content-based image retrieval using multiresolution speeded-up robust feature
* 2021: Dynamic Cross-Feature Fusion for American Sign Language Translation
* 2024: ConvGeN: A convex space learning approach for deep-generative oversampling and imbalanced classification of small tabular datasets
Includes: Srivastava, P.[Pramod] Srivastava, P. Srivastava, P.[Prashant] Srivastava, P.[Priyanshu]
Srivastava, P.K.
* 2007: Robust Stereo Image Matching for Spaceborne Imagery
* 2008: DEM Generation from High Resolution Multi-View Data product
* 2008: In-flight Geometric Calibration: An experience with CARTOSAT-1 and CARTOSAT-2
* 2008: Long Strip Modelling for CARTOSAT-1 with Minimum Control
* 2008: Rational Polynomial Modelling for CARTOSAT-1 data
* 2017: Objective color image quality assessment based on Sobel magnitude
* 2018: Identification of Painted Rock-Shelter Sites Using GIS Integrated with a Decision Support System and Fuzzy Logic
* 2019: Comments on Automated Determination of Snow Water Equivalent by Acoustic Reflectometry
* 2019: Integration of Microwave and Optical/Infrared Derived Datasets for a Drought Hazard Inventory in a Sub-Tropical Region of India
* 2019: Operational Soil Moisture from ASCAT in Support of Water Resources Management
* 2020: Appraisal of SMAP Operational Soil Moisture Product from a Global Perspective
* 2020: Integrated Spatiotemporal Pattern Analysis Model to Assess and Predict the Degradation of Protected Forest Areas, An
* 2020: Spaceborne Multifrequency PolInSAR-Based Inversion Modelling for Forest Height Retrieval
* 2020: Use of Hyperion for Mangrove Forest Carbon Stock Assessment in Bhitarkanika Forest Reserve: A Contribution Towards Blue Carbon Initiative
* 2021: Direct Construction of Asymptotically Optimal Type-II ZCP for Every Possible Even Length, A
* 2021: Integrating Multi-Sensors Data for Species Distribution Mapping Using Deep Learning and Envelope Models
* 2021: Random Forests with Bagging and Genetic Algorithms Coupled with Least Trimmed Squares Regression for Soil Moisture Deficit Using SMOS Satellite Soil Moisture
* 2021: Satellite Based Fraction of Absorbed Photosynthetically Active Radiation Is Congruent with Plant Diversity in India
* 2022: Evaluation of Simulated AVIRIS-NG Imagery Using a Spectral Reconstruction Method for the Retrieval of Leaf Chlorophyll Content
* 2022: Predicting the Forest Canopy Height from LiDAR and Multi-Sensor Data Using Machine Learning over India
* 2022: Spatio-Temporal Monitoring of Atmospheric Pollutants Using Earth Observation Sentinel 5P TROPOMI Data: Impact of Stubble Burning a Case Study
* 2023: Assessment of a Dynamic Physically Based Slope Stability Model to Evaluate Timing and Distribution of Rainfall-Induced Shallow Landslides
* 2023: Development of High-Resolution Soil Hydraulic Parameters with Use of Earth Observations for Enhancing Root Zone Soil Moisture Product
* 2023: Evaluating the Performance of PRISMA Shortwave Infrared Imaging Sensor for Mapping Hydrothermally Altered and Weathered Minerals Using the Machine Learning Paradigm
Includes: Srivastava, P.K. Srivastava, P.K.[Prashant K.] Srivastava, P.K.[Prashant Kumar]
24 for Srivastava, P.K.
Srivastava, R.[Ruchir]
* 2011: Accumulated motion images for facial expression recognition in videos
* 2012: Edge Preserving Image Fusion Based on Contourlet Transform
* 2013: Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation
* 2016: Local energy-based multimodal medical image fusion in curvelet domain
* 2017: Automated digital mammogram segmentation using Dispersed Region Growing and Sliding Window Algorithm
* 2017: Content-based mammogram retrieval using k-means clustering and local binary pattern
* 2018: Effective image retrieval based on hybrid features with weighted similarity measure and query image classification
* 2018: Object sequences: encoding categorical and spatial information for a yes/no visual question answering task
* 2019: Novel Probabilistic Contrast-Based Complex Salient Object Detection, A
* 2019: Salient object detection using background subtraction, Gabor filters, objectness and minimum directional backgroundness
* 2020: Three stage deep network for 3D human pose reconstruction by exploiting spatial and temporal data via its 2D pose
* 2020: User-interactive salient object detection using YOLOv2, lazy snapping, and gabor filters
* 2021: Colon tumor localization using three input variants to Faster Region-based Convolutional Neural Network and lazy snapping
* 2023: Accuracy assessment of a hand-held PPG based ECG acquisition device using 2-D CNN
* 2024: MAdVerse: A Hierarchical Dataset of Multi-Lingual Ads from Diverse Sources and Categories
Includes: Srivastava, R.[Ruchir] Srivastava, R.[Richa] Srivastava, R.[Rajeev] Srivastava, R. Srivastava, R.[Rohini] Srivastava, R.[Rishabh]
15 for Srivastava, R.
Srivastava, R.K.[Rajneesh Kumar]
* 2013: Curvelet transform based moving object segmentation
* 2014: Moving shadow detection and removal: A wavelet transform based approach
* 2014: Single change detection-based moving object segmentation by using Daubechies complex wavelet transform
* 2015: From captions to visual concepts and back
* 2015: Moving object segmentation in Daubechies complex wavelet domain
* 2018: Combining Zernike moment and complex wavelet transform for human object classification
* 2018: ContextVP: Fully Context-Aware Video Prediction
Includes: Srivastava, R.K.[Rajneesh Kumar] Srivastava, R.K.[Rupesh K.] Srivastava, R.K.[Rupesh Kumar]
7 for Srivastava, R.K.
Srivastava, S.
* 2005: Analysis of Confocal Microendoscope Images for Automatic Detection of Ovarian Cancer
* 2007: Human Gait Recognition Using Temporal Slices
* 2009: Generating optimal look-up tables to achieve complex color space transformations
* 2009: Model-based methods for developing color transformation between two display devices
* 2009: Stereo matching using hierarchical belief propagation along ambiguity gradient
* 2010: Standoff video analysis for the detection of security anomalies in vehicles
* 2011: Crowd flow estimation using multiple visual features for scenes with changing crowd densities
* 2013: GFM-Based Methods for Speaker Identification
* 2013: Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation
* 2015: Automatic Feeding Control for Dense Aquaculture Fish Tanks
* 2015: Gait based authentication using gait information image features
* 2015: OLED panel defect detection using local inlier-outlier ratios and modified LBP
* 2017: Domain Adaptation for Automatic OLED Panel Defect Detection Using Adaptive Support Vector Data Description
* 2017: Drought Stress Classification Using 3D Plant Models
* 2017: Multi-Modal Design of an Intelligent Transportation System
* 2018: Handwritten Devanagari Similar Character Recognition by Fisher Linear Discriminant and Pairwise Classification
* 2018: Large Scale Novel Object Discovery in 3D
* 2019: DeepPoint3D: Learning discriminative local descriptors using deep metric learning on 3D point clouds
* 2019: Development of an Indoor Space Semantic Model and Its Implementation as an IndoorGML Extension
* 2019: Image Forensics Based on Lighting Estimation
* 2019: Matching Disparate Image Pairs Using Shape-Aware ConvNets
* 2019: Prior-Guided Metal Artifact Reduction for Iterative X-Ray Computed Tomography
* 2019: Robust Authentication Using Dorsal Hand Vein Images
* 2020: Brain tumor segmentation and classification from magnetic resonance images: Review of selected methods from 2014 to 2019
* 2021: Beyond Image to Depth: Improving Depth Prediction using Echoes
* 2021: CAFT: Class Aware Frequency Transform for Reducing Domain Gap
* 2021: MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge
* 2021: Using Scene Graphs for Detecting Visual Relationships
* 2022: Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attention
* 2023: Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance
* 2023: Hierarchical Multi-task Learning via Task Affinity Groupings
* 2023: Lifelong Learning of Task-Parameter Relationships for Knowledge Transfer
* 2023: regressive encoder-decoder-based deep attention model for segmentation of fetal head in 2D-ultrasound images, A
* 2024: OmniVec: Learning robust representations with cross modal sharing
Includes: Srivastava, S. Srivastava, S.[Shruti] Srivastava, S.[Satyam] Srivastava, S.[Sumit] Srivastava, S.[Subodh] Srivastava, S.[Smriti] Srivastava, S.[Siddharth] Srivastava, S.[Srishti] Srivastava, S.[Sangeet] Srivastava, S.[Shefali] Srivastava, S.[Shilpa] Srivastava, S.[Sarthak] Srivastava, S.[Shikhar] Srivastava, S.[Shaunak] Srivastava, S.[Somya]
34 for Srivastava, S.
Srivastava, S.K.[Sanjay K.]
* 1990: Octree Generation from Object Silhouettes in Perspective Views
* 2015: Development of Decadal (1985-1995-2005) Land Use and Land Cover Database for India
* 2023: New Approach to Estimate Fuel Budget and Wildfire Hazard Assessment in Commercial Plantations Using Drone-Based Photogrammetry and Image Analysis, A
Includes: Srivastava, S.K.[Sanjay K.] Srivastava, S.K.[Sushil K.] Srivastava, S.K.[Sanjeev K.]
Srivastava, T.[Tanuja]
* 2013: Local and global tomographic image reconstruction with discrete radon transform
* 2013: Unsupervised learning approach for abnormal event detection in surveillance video by revealing infrequent patterns
Includes: Srivastava, T.[Tanuja] Srivastava, T.
Srivastava, V.[Vanshika]
* 2015: Geometry-Aware Feature Matching for Structure from Motion Applications
* 2019: dynamic threshold-based local mesh ternary pattern technique for biomedical image retrieval, A
* 2022: Graph Similarity Using Tree Edit Distance
Includes: Srivastava, V.[Vanshika] Srivastava, V.[Varun] Srivastava, V.[Vishal]
Srivastava, V.K.[Vinay Kumar]
* 2009: SVD Based Scheme for Post Processing of DCT Coded Images, A
* 2015: Development of Decadal (1985-1995-2005) Land Use and Land Cover Database for India
Includes: Srivastava, V.K.[Vinay Kumar] Srivastava, V.K.[Vijay K.]
Srivastava1, J.B.
* 2008: Bag-of-features kernel eigen spaces for classification
Srivastva, R.[Ranjeet]
* 2019: ECG analysis for human recognition using non-fiducial methods
* 2022: Statistical independence of ECG for biometric authentication
Srivatsa, M.
* 2017: Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery
* 2020: Actor Conditioned Attention Maps for Video Action Detection
* 2021: NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks
* 2022: Enhancing Robustness in Federated Learning by Supervised Anomaly Detection
Includes: Srivatsa, M. Srivatsa, M.[Mudhakar]
Srivatsa, R.S.[R. Sai]
* 2015: Salient object detection via objectness measure
Srivatsa, S.
* 2013: Dual Objective Feature Selection and Scaled Euclidean Classification for face recognition
Srivatsan, K.[Koushik]
* 2023: Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
* 2023: FLIP: Cross-domain Face Anti-spoofing with Language Guidance
Srivatsan, R.A.[Rangaprasad Arun]
* 2019: PointNetLK: Robust and Efficient Point Cloud Registration Using PointNet
* 2020: Correspondence Matrices are Underrated
* 2020: MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
Includes: Srivatsan, R.A.[Rangaprasad Arun] Srivatsan, R.A.
Srivatsav, D.
* 2019: Attentional Road Safety Networks
Srivatsav, V.[Venkatakrishnan]
* 2021: NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results
Srividhya, S.
* 2016: Implementation of TiOISSS with meaningful shadows and with an additional authentication image
Srividya, P.[Ponnada]
* 2023: AI-Empowered Trajectory Anomaly Detection and Classification in 6G-V2X