Index for srin

Srinamasivayam, B.[Bharanitharan] * 2023: Development of a UAV Based Framework for CH4 Monitoring in Sludge Treatment Centres

Srinark, T.[Thitiwan] * 2001: Framework for Multiple Snakes, A
* 2006: 1265: An Approach for Spot Matching in 2-D Electrophoresis Gels
* 2006: framework for multiple snakes and its applications, A
* 2006: Hierarchical Method for 3D Rigid Motion Estimation, A
* 2011: Equivalent 3D Otsu's Thresholding Method, An
Includes: Srinark, T.[Thitiwan] Srinark, T.

Srinath, M. * 1992: vision system for inspection of ball bonds in integrated circuits, A
* 1996: Orthogonal Moment Features for Use with Parametric and Nonparametric Classifiers

Srinath, M.D. * 1972: Unsupervised learning in nongaussian pattern recognition
* 1986: Visually Weighted Quantization Scheme for Image Bandwidth Compression at Low Data Rates, A
* 1987: Contour Sequence Moments For The Classification Of Closed Planar Shapes
* 1988: Invariant Planar Shape Recognition Using Dynamic Alignment
* 1990: Corner Detection from Chain-Code
* 1990: Partial Shape Classification Using Contour Matching in Distance Transformation
* 1992: String Descriptor for Matching Partial Shapes, A
* 2001: efficient method for scene cut detection, An
* 2002: Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments
Includes: Srinath, M.D. Srinath, M.D.[Mandyam D.]
9 for Srinath, M.D.

Srinath, N.K. * 2013: Development of multiscale retinex algorithm for medical image enhancement based on multi-rate sampling

Srinath, R.[Rajagopalan] * 2021: Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods
* 2023: Strata-NeRF : Neural Radiance Fields for Stratified Scenes
Includes: Srinath, R.[Rajagopalan] Srinath, R.

Srinath, S. * 2010: Documentation Of Architectural Scenes Using A Hierarchical Method
* 2020: Nyquist Pulses for Sub-Nyquist Sampling: Application to Underwater Imaging
* 2024: Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment
Includes: Srinath, S. Srinath, S.[Suhas]

Srinathan, K.[Kannan] * 2008: Fast and Secure Real-Time Video Encryption
* 2008: novel video encryption technique based on secret sharing, A
* 2008: Private Content Based Image Retrieval
* 2009: Efficient Biometric Verification in Encrypted Domain
* 2009: Efficient privacy preserving video surveillance
Includes: Srinathan, K.[Kannan] Srinathan, K.

Srinet, K.[Kavya] * 2019: Order-Aware Generative Modeling Using the 3D-Craft Dataset

Srini, V.P. * 2006: Vision for Supporting Autonomous Navigation in Urban Environments, A

Srinidhi, A.[Akella] * 2024: WaveMixSR: Resource-efficient Neural Network for Image Super-resolution

Srinidhi, C.L. * 2019: Automated Method for Retinal Artery/Vein Separation via Graph Search Metaheuristic Approach
* 2021: Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology
* 2022: Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes
Includes: Srinidhi, C.L. Srinidhi, C.L.[Chetan L.]

Srinidhi, K.G. * 1998: Edge preserving image restoration using convex optimization

Srinija, V.[Venkatakrishnan] * 2021: NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results

Srinivas, A.[Aravind] * 2021: Bottleneck Transformers for Visual Recognition
* 2021: Scaling Local Self-Attention for Parameter Efficient Visual Backbones
* 2021: SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
* 2021: Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

Srinivas, B.[Badrinath] * 2009: Palmprint based Verification System Robust to Occlusion using Low-order Zernike Moments of Sub-image

Srinivas, B.S. * 1997: Video Transmission with Error Concealment over Channels with Memory
* 1999: Progressive Transmission of Images Using MAP Detection over Channels with Memory

Srinivas, C. * 1994: Motion-compensated CT image reconstruction
* 2006: Evaluation of Algorithms for Tracking Multiple Objects in Video
* 2006: Multi-Object Tracking Through Simultaneous Long Occlusions and Split-Merge Conditions
Includes: Srinivas, C. Srinivas, C.[Chukka]

Srinivas, D. * 2000: Morphological operators to extract channel networks from digital elevation models

Srinivas, K. * 2020: Exposure-Based Energy Curve Equalization for Enhancement of Contrast Distorted Images
* 2020: Low light image enhancement with adaptive sigmoid transfer function
* 2021: Context-Based Image Contrast Enhancement Using Energy Equalization With Clipping Limit, A
* 2023: Learning to Guide a Saturation-Based Theorem Prover
* 2023: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
Includes: Srinivas, K. Srinivas, K.[Kankanala] Srinivas, K.[Kavitha] Srinivas, K.[Kalyanapu]

Srinivas, K.S.[Kancheti Sai] * 2021: Linguistically-aware attention for reducing the semantic gap in vision-language tasks

Srinivas, M. * 2016: Sparsity-inducing dictionaries for effective action classification
* 2017: Deep dictionary learning for fine-grained image classification
* 2023: DenSplitnet: Classifier-invariant neural network method to detect COVID-19 in chest CT data

Srinivas, M.B. * 2019: frequency domain beamspace adaptive receive beamformer for ultrasound imaging systems: phantom simulation results, A

Srinivas, N.[Nisha] * 2008: Decision-level fusion strategies for correlated biometric classifiers
* 2011: Facial marks as biometric signatures to distinguish between identical twins
* 2017: Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset
* 2019: Exploring Automatic Face Recognition on Match Performance and Gender Bias for Children
* 2023: Expanding Accurate Person Recognition to New Altitudes and Ranges: The BRIAR Dataset
Includes: Srinivas, N.[Nisha] Srinivas, N.

Srinivas, P.[Preetham] * 2015: Entropy-cum-Hough-transform-based ear detection using ellipsoid particle swarm optimization

Srinivas, S.[Suraj] * 2014: Controlled blurring for improving image reconstruction quality in flutter-shutter acquisition
* 2015: Data-free Parameter Pruning for Deep Neural Networks
* 2016: Learning Neural Network Architectures using Backpropagation
* 2017: Training Sparse Neural Networks
* 2022: Cyclical Pruning for Sparse Neural Networks
Includes: Srinivas, S.[Suraj] Srinivas, S.

Srinivas, U.[Umamahesh] * 2011: Automatic target recognition using discriminative graphical models
* 2013: Structured Sparse Priors for Image Classification
* 2014: Group structured dirty dictionary learning for classification
* 2014: Multi-task image classification via collaborative, hierarchical spike-and-slab priors
* 2014: Simultaneous Sparsity Model for Histopathological Image Representation and Classification
* 2015: Structured Sparse Priors for Image Classification
Includes: Srinivas, U.[Umamahesh] Srinivas, U.

Srinivas, V.S. * 2016: Modeling of Ionospheric Time Delay Using Anisotropic IDW With Jackknife Technique

Srinivas, V.V. * 2008: Regionalization of Watersheds: An Approach Based on Cluster Analysis

Srinivas, Y. * 2001: Quantitative image quality analysis of a nonlinear spatio-temporal filter
* 2015: Content-based image retrievals based on generalised gamma distribution and relevance feedback mechanism

Srinivasa Murthy, S. * 2017: Enhanced Algorithm of Automated Ground Truth Generation and Validation for Lane Detection System by M^2 BMT

Srinivasa Perumal, R. * 2010: efficient color image segmentation algorithm using hybrid approaches, An

Srinivasa Ravi Chandra, C.V. * 2012: Diversion during unexpected congestion on toll roads: the role of traffic information displayed on dynamic message signs

Srinivasa, G.[Gowri] * 2008: Voting-based active contour segmentation of fMRI images of the brain
* 2009: Active Mask Segmentation of Fluorescence Microscope Images
* 2014: Novel Interest-Point-Based Background Subtraction Algorithm, A

Srinivasa, J.[Jayanth] * 2023: Many-Task Federated Learning: A New Problem Setting and A Simple Baseline

Srinivasa, N.[Narayan] * 1997: Learning to Fixate on 3D Targets with Uncalibrated Active Cameras
* 2004: Classifier Swarms for Human Detection in Infrared Imagery

Srinivasa, R.S.[Rakshith Sharma] * 2020: Trading Beams for Bandwidth: Imaging with Randomized Beamforming

Srinivasa, S.[Siddhartha] * 2010: Exploiting Passthrough Information for Multi-view Object Reconstruction with Sparse and Noisy Laser Data
* 2012: Object Recognition Robust to Imperfect Depth Data
* 2015: KL divergence based agglomerative clustering for automated Vitiligo grading
* 2019: Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation
* 2019: Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis
Includes: Srinivasa, S.[Siddhartha] Srinivasa, S.[Srinidhi] Srinivasa, S.

Srinivasa, S.K.K. * 2019: Deep Network Pruning for Object Detection

Srinivasa, S.S. * 2012: Herb 2.0: Lessons Learned From Developing a Mobile Manipulator for the Home

Srinivasagan, K.G. * 2014: Local Oppugnant Color Texture Pattern for image retrieval system

Srinivasan, A. * 2013: new framework for 3D face reconstruction for self-occluded images, A
* 2020: Information Extraction from Document Images via FCA based Template Detection and Knowledge Graph Rule Induction
* 2020: Online action recognition from RGB-D cameras based on reduced basis decomposition
* 2023: IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification
Includes: Srinivasan, A. Srinivasan, A.[Andy] Srinivasan, A.[Ashwin]

Srinivasan, A.R.[Aravinda Ramakrishnan] * 2023: Beyond RMSE: Do Machine-Learned Models of Road User Interaction Produce Human-Like Behavior?

Srinivasan, B. * 1987: Visual Navigation System for Automonous Land Vehicles, A
* 2000: General Inference Network Based Architecture for Multimedia Information Retrieval, A
* 2014: Partial Fingerprint Matching through Region-Based Similarity
* 2018: Activity Recognition with Evolving Data Streams: A Review
Includes: Srinivasan, B. Srinivasan, B.[Bala]

Srinivasan, B.V.[Balaji Vasan] * 2009: Efficient subset selection via the kernelized Rényi distance
* 2023: A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis
* 2023: Contrastive Learning of Semantic Concepts for Open-set Cross-domain Retrieval
* 2023: Recipe2Video: Synthesizing Personalized Videos from Recipe Texts
* 2024: Iterative Multi-granular Image Editing using Diffusion Models

Srinivasan, C. * 1999: Detecting 3-D Motion Field from Range Image Sequences

Srinivasan, C.P.[Chithra Priya] * 2022: Spatio-Temporal Constraint-Based Low Rank Matrix Completion Approaches for Road Traffic Networks

Srinivasan, D. * 2003: Guest Editorial: IEEE 5th international conference on intelligent transportation systems papers
* 2004: Benchmarking a Reduced Multivariate Polynomial Pattern Classifier
* 2004: Evaluation of adaptive neural network models for freeway incident detection
* 2004: Scalable Video Transmission Over Wireless DS-CDMA Channels Using Minimum TSC Spreading Codes
* 2005: empirical comparison of nine pattern classifiers, An
* 2005: Layered video transmission over wireless multirate DS-CDMA links
* 2006: Bimodal Palmprint Verification System, A
* 2006: Neural Networks for Real-Time Traffic Signal Control
* 2010: Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control
* 2013: On optimal freeway local ramp metering using fuzzy logic control with particle swarm optimisation
* 2014: Novel and efficient local coordinated freeway ramp metering strategy with simultaneous perturbation stochastic approximation-based parameter learning
* 2018: Optimal Type-2 Fuzzy System For Arterial Traffic Signal Control
* 2023: Charge Curve and Battery Management System Aware Optimal Charging Scheduling Framework for Electric Vehicle Fast Charging Stations With Heterogeneous Customer Mix, A
* 2023: Multi-Objective Optimization Algorithm With Adaptive Resource Allocation for Truck-Drone Collaborative Delivery and Pick-Up Services
Includes: Srinivasan, D. Srinivasan, D.[Dipti]
14 for Srinivasan, D.

Srinivasan, G. * 1994: Synthetic Discriminant Functions for Recognition of Images on the Boundary of the Convex-Hull of the Training Set
* 2020: RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network

Srinivasan, H.[Harish] * 2006: Automated Scoring of Handwritten Essays Based on Latent Semantic Analysis
* 2006: Document Image Retrieval using Signatures as Queries
* 2006: Machine Learning for Signature Verification
* 2006: Versatile Search of Scanned Arabic Handwriting
* 2007: Handwritten Word Recognition Using Conditional Random Fields
* 2007: On Computing Strength of Evidence for Writer Verification
* 2007: On the Use of Lexeme Features for Writer Verification
* 2008: Automatic scoring of short handwritten essays in reading comprehension tests
Includes: Srinivasan, H.[Harish] Srinivasan, H.
8 for Srinivasan, H.

Srinivasan, J.[Jayaraman] * 2021: Comprehensive Evaluation of Near-Real-Time and Research Products of IMERG Precipitation over India for the Southwest Monsoon Period, A

Srinivasan, K. * 2015: Near-Lossless Compression for Large Traffic Networks
* 2018: Robust RGB-D Hand Tracking Using Deep Learning Priors
* 2020: Measuring Winds and Currents with Ka-Band Doppler Scatterometry: An Airborne Implementation and Progress towards a Spaceborne Mission
Includes: Srinivasan, K. Srinivasan, K.[Karthik]

Srinivasan, K.S. * 2007: New Fast and Efficient Decision-Based Algorithm for Removal of High-Density Impulse Noises, A

Srinivasan, L. * 1981: Application of Dynamic Programming to Sequential Boundary Estimation, An
* 2006: Quantification of Growth and Motion Using Non-rigid Registration
* 2011: Combined Manifold Learning Analysis of Shape and Appearance to Characterize Neonatal Brain Development, A

Srinivasan, M. * 1998: Multiple description subband coding
* 1999: Joint Source-channel Coding Techniques for Wireless Channels and Packet Networks
* 2000: Complete Panoramic Vision System, Incorporating Imaging, Ranging, and Three Dimensional Navigation, A
* 2008: Shape-and-Behavior Encoded Tracking of Bee Dances
* 2009: Rate-Invariant Recognition of Humans and Their Activities
* 2013: new technique for Face Recognition using 2D-Gabor Wavelet Transform with 2D-Hidden Markov Model approach, A
* 2015: Using Bayesian statistics and Gabor Wavelets for recognition of human faces
* 2018: Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN
* 2019: Efficient Video Classification Using Fewer Frames
* 2023: Satellite Altimetry for Ocean and Coastal Applications: A Review
Includes: Srinivasan, M. Srinivasan, M.[Murari] Srinivasan, M.[Mandyam] Srinivasan, M.[Mukundhan] Srinivasan, M.[Margaret]
10 for Srinivasan, M.

Srinivasan, M.V. * 1975: Probabilistic Hypothesis for the Prediction of Visual Fixations, A
* 1996: Insect Inspired Behaviours for the Autonomous Control of Mobile Robots
* 1996: Structure-from-Motion: Determining the Range and Orientation of Surfaces by Image Interpolation
* 1997: Qualitative Estimation of Camera Motion Parameters from Video Sequences
* 1997: Range Estimation with a Panoramic Visual Sensor
* 1998: Insect-Based Approach to Robotic Homing, An
* 2000: Filtering and processing of panoramic images obtained using a camera and a wide-angle-imaging reflective surface
* 2005: Omnidirectional Vision with Frontal Stereo
* 2006: Optical System for Guidance of Terrain Following in UAVs, An
* 2011: Topological localization using optical flow descriptors
* 2018: Bird Gets Caught by the WORM: Tracking Multiple Deformable Objects in Noisy Environments Using Weight ORdered Logic Maps, The
Includes: Srinivasan, M.V. Srinivasan, M.V.[Mandyam V.]
11 for Srinivasan, M.V.

Srinivasan, N.[Natesh] * 2014: Rao-Blackwellized MCMC algorithm for recovering piecewise planar 3D models from multiple view RGBD images, A
* 2015: Structural Symmetries from Motion for Scene Reconstruction and Understanding
* 2017: Real Estate Image Classification
* 2018: Image-Based Approach for 3D Reconstruction of Urban Scenes Using Architectural Symmetries, An
Includes: Srinivasan, N.[Natesh] Srinivasan, N.[Narayanan] Srinivasan, N.

Srinivasan, P.[Partha] * 1989: Computational Geometric Methods in Volumetric Intersection for 3D Reconstruction
* 1990: Computational Geometric Methods in Volumetric Intersection for 3D Reconstruction
* 1992: 3DP: A Processor Architecture for Three-Dimensional Applications, The
* 2005: SCAPE: Shape Completion and Animation of People
* 2007: Bottom-Up Recognition and Parsing of the Human Body
* 2007: Bottom-Up Recognition and Parsing of the Human Body
* 2009: Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
* 2010: Many-to-one contour matching for describing and discriminating object shape
* 2011: Discriminative image warping with attribute flow
* 2020: Hierarchical X-ray Report Generation via Pathology Tags and Multi Head Attention
* 2021: IBRNet: Learning Multi-View Image-Based Rendering
* 2021: QuadroNet: Multi-Task Learning for Real-Time Semantic Depth Aware Instance Segmentation
* 2022: Block-NeRF: Scalable Large Scene Neural View Synthesis
* 2022: Urban Radiance Fields
* 2023: VQ3D: Learning a 3D-Aware Generative Model on ImageNet
Includes: Srinivasan, P.[Partha] Srinivasan, P. Srinivasan, P.[Praveen] Srinivasan, P.[Preethi] Srinivasan, P.[Pratul]
15 for Srinivasan, P.

Srinivasan, P.P.[Pratul P.] * 2015: Depth from shading, defocus, and correspondence using light-field angular coherence
* 2015: Oriented Light-Field Windows for Scene Flow
* 2017: Learning to Synthesize a 4D RGBD Light Field from a Single Image
* 2017: Light Field Blind Motion Deblurring
* 2017: Shape Estimation from Shading, Defocus, and Correspondence Using Light-Field Angular Coherence
* 2018: Aperture Supervision for Monocular Depth Estimation
* 2019: Pushing the Boundaries of View Extrapolation With Multiplane Images
* 2020: Deep Multi Depth Panoramas for View Synthesis
* 2020: Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination
* 2020: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
* 2021: Baking Neural Radiance Fields for Real-Time View Synthesis
* 2021: Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image
* 2021: Learned Initializations for Optimizing Coordinate-Based Neural Representations
* 2021: Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
* 2021: NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
* 2022: Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
* 2022: Gravitationally Lensed Black Hole Emission Tomography
* 2022: HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video
* 2022: Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
* 2022: NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images
* 2022: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
* 2022: Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
* 2023: PersonNeRF: Personalized Reconstruction from Photo Collections
* 2023: Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields
Includes: Srinivasan, P.P.[Pratul P.] Srinivasan, P.P.
24 for Srinivasan, P.P.

Srinivasan, R. * 1984: CMT and Hybrid Coding of the Component Color TV Signal
* 1985: Predictive Coding Based on Efficient Motion Estimation
* 1987: Contour Based Stereo Algorithm, A
* 1990: Shape Determination from Intensity Images: A New Algorithm
* 1995: Pattern recognition system
* 2005: Accelerated Penalized Weighted Least-Squares and Maximum Likelihood Algorithms for Reconstructing Transmission Images from PET Transmission Data
* 2012: Features with Feelings: Incorporating User Preferences in Video Categorization
* 2012: Video classification based on social attitudes
* 2015: Computerized Face Recognition in Renaissance Portrait Art: A quantitative measure for identifying uncertain subjects in ancient portraits
* 2016: EmotioNet: An Accurate, Real-Time Algorithm for the Automatic Annotation of a Million Facial Expressions in the Wild
* 2018: Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning
* 2018: Improved Hydrological Decision Support System for the Lower Mekong River Basin Using Satellite-Based Earth Observations
* 2019: Discriminant Functional Learning of Color Features for the Recognition of Facial Action Units and Their Intensities
* 2019: Evaluation of Satellite-Based Rainfall Estimates in the Lower Mekong River Basin (Southeast Asia)
* 2020: Evaluation of Grid-Based Rainfall Products and Water Balances over the Mekong River Basin
* 2021: Cross-Cultural and Cultural-Specific Production and Perception of Facial Expressions of Emotion in the Wild
* 2021: Framework for Calculating Peak Discharge and Flood Inundation in Ungauged Urban Watersheds Using Remotely Sensed Precipitation Data: A Case Study in Freetown, Sierra Leone, A
Includes: Srinivasan, R. Srinivasan, R.[Ramanujam] Srinivasan, R.[Ramya] Srinivasan, R.[Raghavan] Srinivasan, R.[Ramprakash]
17 for Srinivasan, R.

Srinivasan, R.R.[Ranga Ramanujam] * 2015: Confidence indicators based pose estimation for high-quality 3D reconstruction using depth image

Srinivasan, R.S.[Ramakrishnan S.] * 2015: Event Detection from Business News

Srinivasan, S. * 1986: Machine Recognition of Indian Language Characters Using a Tree Structure Based on Primitives
* 1996: Design of Optimal Cascaded Multirate Filter Banks in the Presence of Quantization
* 1996: Robust Modeling and Estimation of Optical Flow with Overlapped Basis Functions
* 1997: Generalized Method for Pruning an FFT Type of Transform
* 1997: Image Stabilization and Mosaicking Using the Overlapped Basis Optical Flow Field
* 1997: Integrated Approach to Image Stabilization, Mosaicking and Super-Resolution, An
* 1997: Qualitative Landmark Recognition Using Visual Cues
* 1998: Extracting Structure from Optical Flow Using the Fast Error Search Technique
* 1998: Fast FOE Estimation with Applications to Depth Estimation and View Synthesis
* 1998: Optical Flow Using Overlapped Basis Functions for Solving Global Motion Problems
* 1999: Fast Partial Search Solution to the 3D SFM Problem
* 1999: Noise-resilient estimation of optical flow by use of overlapped basis functions
* 1999: Structure from motion: sparse versus dense correspondence methods
* 2000: CueVideo: a system for cross-modal search and browse of video databases
* 2000: Extracting Structure from Optical Flow Using the Fast Error Search Technique
* 2000: Query expansion for imperfect speech: applications in distributed learning
* 2000: Representation and linking mechanisms for audio in MPEG-7
* 2001: Extraction of motion strength and motor activity signals from video recordings of neonatal seizures
* 2001: Streaming-Media Knowledge Discovery
* 2002: Head pose estimation using view based eigenspaces
* 2003: Efficient Video Browsing
* 2003: Search the Audio, Browse the Video: A Generic Paradigm for Video Collections
* 2004: Automatic generation of conference video proceedings
* 2004: multi-modal system for the retrieval of semantic video events, A
* 2004: Object color propagation in an unregistered distributed video sensor network
* 2004: Windows Media Video 9: Overview and Applications
* 2006: Spatial extrapolation of pixel values in intraframe video coding and decoding
* 2007: Skip macroblock coding
* 2007: Spatial extrapolation of pixel values in intraframe video coding and decoding
* 2009: Adaptable Image Retrieval System With Relevance Feedback Using Kernel Machines and Selective Sampling, An
* 2010: Efficient motion vector recovery algorithm for H.264 using directional interpolation
* 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
* 2015: Terrestrial Laser Scanning as an Effective Tool to Retrieve Tree Level Height, Crown Width, and Stem Diameter
* 2020: Adaptive neuro-fuzzy inference system based on-the-move terrain classification for autonomous wheeled mobile robots
* 2023: Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics
Includes: Srinivasan, S. Srinivasan, S.[Sridhar] Srinivasan, S.[Savitha] Srinivasan, S.[Shruthi] Srinivasan, S.[Seshadhri]
35 for Srinivasan, S.

Srinivasan, S.H. * 2001: Compressed Domain Action Classification Using HMM
* 2002: Compressed Domain Action Classification Using HMM
* 2002: multiple description method for wavelet based image coding, A
* 2003: Wavelet domain residual redundancy-based descriptions
* 2004: Small-world approximations in spectral segmentation
* 2004: Video Object Segmentation: A Compressed Domain Approach

Srinivasan, T.[Tejas] * 2023: Curriculum Learning for Data-Efficient Vision-Language Alignment

Srinivasan, T.P. * 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
* 2013: new approach for terrain analysis of lunar surface by Chandrayaan-1 data using open source libraries, A

Srinivasan, U. * 2003: Edge-based semantic classification of sports video sequences
* 2005: survey of MPEG-1 audio, video and semantic analysis techniques, A

Srinivasan, V. * 1989: Pseudo-Interferometric Laser Range Finder for Robot Applications, A
* 1992: Automatic Mesh Generation Using the Symmetric Axis Transformation of Polygonal Domains
* 1993: Image reconstruction by a Hopfield neural network
* 1994: Edge-Detection Using a Neural-Network
* 1994: Full custom VLSI implementation of high-speed 2-D DCT/IDCT chip
* 1994: Fuzzy Pyramid-Based Invariant Object Recognition
* 1996: Invariant Object Recognition Using a Neural Template Classifier
* 2007: Methods and apparatus to count people appearing in an image
* 2014: Evaluation of Head Gaze Loosely Synchronized With Real-Time Synthetic Speech for Social Robots
* 2017: Estimating Position Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network
* 2019: Multi-Kernel Prediction Networks for Denoising of Burst Images
* 2020: Air Quality Monitoring and Data Management In Germany: Status Quo And Suggestions for Improvement
* 2020: Detecting abnormal events in traffic video surveillance using superorientation optical flow feature
Includes: Srinivasan, V. Srinivasan, V.[Venugopal] Srinivasan, V.[Vasuhi]
13 for Srinivasan, V.

Srinivasan, V.J. * 2013: Comparison of Kasai Autocorrelation and Maximum Likelihood Estimators for Doppler Optical Coherence Tomography
* 2014: Maximum Likelihood Doppler Frequency Estimation Under Decorrelation Noise for Quantifying Flow in Optical Coherence Tomography

Srinivasan, V.K.[Venkatesh K.] * 2012: Classification of color objects like fruits using probability density function (PDF)

Srinivasan, V.S. * 1992: Detection of Singular Points in Fingerprint Images
* 1994: Shape Discrimination by Radial Sectoral Projection Signatures

Srinivasana, R.[Rajani] * 1998: Foveating Fuzzy Scoring Target Recognition System, A

Srinivasarao, B.K.N. * 2017: novel framework for compressed sensing based scalable video coding, A

Srinivasu, P.N.[Parvathaneni Naga] * 2023: transfer learning-based system for grading breast invasive ductal carcinoma, A

Srinivasu, U.[Ulli] * 2019: 3D Features for human action recognition with semi-supervised learning

Index for "s"


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