Index for sund

Sund, T. * 2003: algorithm for fast adaptive image binarization with applications in radiotherapy imaging, An

Sundar Raj, P.A. * 1986: On Bit Reduction of Chain Coded Line Drawings

Sundar, A.[Amrutha] * 2023: Doubly Right Object Recognition: A Why Prompt for Visual Rationales

Sundar, H.[Hari] * 2009: Estimating myocardial motion by 4D image warping
* 2010: Model-based respiratory motion compensation for image-guided cardiac interventions
* 2012: Nonrigid 2D/3D Registration of Coronary Artery Models With Live Fluoroscopy for Guidance of Cardiac Interventions
* 2013: Identification of Active Sources in Single-Channel Convolutive Mixtures Using Known Source Models
Includes: Sundar, H.[Hari] Sundar, H.

Sundar, K.J.A.[K. Joseph Abraham] * 2017: Multi-frame super-resolution using adaptive normalized convolution

Sundar, P.K.S.[Parthasarathy Kulithalai Shiyam] * 2023: Multi-Criterion Analysis of Cyclone Risk along the Coast of Tamil Nadu, India: A Geospatial Approach

Sundar, R.S.[R. Shyam] * 2011: Bit-depth scalable video coding using error residual correction

Sundar, S.[Sumod] * 2023: effective deep learning model for grading abnormalities in retinal fundus images using variational auto-encoders, An

Sundar, V.[Varun] * 2022: FlatNet: Towards Photorealistic Scene Reconstruction From Lensless Measurements
* 2022: Single-Photon Structured Light
* 2023: SoDaCam: Software-defined Cameras via Single-Photon Imaging

Sundarajan, V. * 2009: Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests

Sundaram, G.[Gaurav] * 2023: Image encryption based on fractional discrete cosine transform and DWT with interplane arrangements in dost domain

Sundaram, H. * 1997: Are Textureless Scenes Recoverable?
* 1997: VideoQ: An Automatic Content-Based Video Search System Using Visual Cues
* 1998: Fully Automated Content-Based Video Search Engine Supporting Spatiotemporal Queries, A
* 1998: Semantic Visual Templates: Linking visual Features to Semantics
* 1998: VideoQ: An Automated Content Based Video Search System Using Visual Cues
* 2000: Structural and Semantic Analysis of Video
* 2000: Video Scene Segmentation Using Video and Audio Features
* 2001: Constrained Utility Maximizations for Generating Visual Skims
* 2002: Video skims: taxonomies and an optimal generation framework
* 2004: Algorithms and system for object-oriented content-based video search
* 2006: Context-Aware Media Retrieval
* 2006: Estimating the Physical Effort of Human Poses
* 2006: Modular Design of Media Retrieval Workflows Using ARIA
* 2008: Event Mining in Multimedia Streams
* 2012: Multimedia Semantics: Interactions Between Content and Community
Includes: Sundaram, H. Sundaram, H.[Hari]
15 for Sundaram, H.

Sundaram, J.[Jainaveen] * 2023: CPU Microarchitectural Performance Analysis of SVT-AV1 Encoder

Sundaram, K.[Kalaiselvi] * 2019: Area-efficient parallel adder with faithful approximation for image and signal processing applications

Sundaram, M.[Muniasamy] * 2021: Thermography based breast cancer detection using self-adaptive gray level histogram equalization color enhancement method

Sundaram, N.[Narayanan] * 2009: Efficient, High-quality Image Contour Detection
* 2010: Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow
* 2011: Long term video segmentation through pixel level spectral clustering on GPUs

Sundaram, P. * 2020: Individual Resting-State Brain Networks Enabled by Massive Multivariate Conditional Mutual Information

Sundaram, P.M.[Parvathy Meenakshi] * 2020: Deep learning algorithm for breast masses classification in mammograms

Sundaram, R. * 1996: Partitioning of Hopfield Networks and Its Application to Image Restoration
* 2005: Character duration modeling for speed improvements in the BBN Byblos OCR system
* 2021: Fusion-based Spatiotemporal Convolutions with Constant Temporal Snapshots for Sign Language Recognition
Includes: Sundaram, R. Sundaram, R.[Ramakrishnan]

Sundaram, R.S. * 1996: Fast Algorithm for Pseudodiscrete Wigner-Ville Distribution Using Moving Discrete Hartley Transform
* 1997: Numerically Stable Algorithm for Computing Wigner-Ville Distribution

Sundaram, S. * 2006: Effectiveness of Visual Interactive Modeling in the Context of Multiple-Criteria Group Decisions
* 2007: Novel Hierarchical Classification Scheme for Online Tamil Character Recognition, A
* 2008: Online Character Recognition using Regression Techniques
* 2009: High level activity recognition using low resolution wearable vision
* 2009: Improved Online Tamil Character Recognition Engine Using Post-Processing Methods, An
* 2009: Resolving Ambiguities in Confused Online Tamil Characters with Post Processing Algorithms
* 2010: Egocentric Visual Event Classification with Location-Based Priors
* 2011: Lexicon-Free, Novel Segmentation of Online Handwritten Indic Words
* 2013: Overview on Perceptually Motivated Audio Indexing and Classification, An
* 2015: subtractive clustering scheme for text-independent online writer identification, A
* 2016: enhanced contextual DTW based system for online signature verification using Vector Quantization, An
* 2018: Exploring Discriminative HMM States for Improved Recognition of Online Handwriting
* 2018: improved online writer identification framework using codebook descriptors, An
* 2018: On the Exploration of Information From the DTW Cost Matrix for Online Signature Verification
* 2019: CDAS: A Cognitive Decision-Making Architecture for Dynamic Airspace Sectorization for Efficient Operations
* 2019: Cooperative Vehicle Speed Fault Diagnosis and Correction
* 2019: improved discriminative region selection methodology for online handwriting recognition, An
* 2020: Online writer identification system using adaptive sparse representation framework
* 2022: Scene Representation Learning from Videos Using Self-Supervised and Weakly-Supervised Techniques
* 2023: DeepMAO: Deep Multi-scale Aware Overcomplete Network for Building Segmentation in Satellite Imagery
Includes: Sundaram, S. Sundaram, S.[Suresh] Sundaram, S.[Sudeep] Sundaram, S.[Shiva]
20 for Sundaram, S.

Sundaram, T.A.[Tessa A.] * 2006: Generalization of Free-Form Deformation Image Registration Within the ITK Finite Element Framework, A

Sundaram, V.M.[Venkatesan Meenakshi] * 2022: Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France

Sundaramoorthi, G.[Ganesh] * 2005: More-Than-Topology-Preserving Flows for Active Contours and Polygons
* 2006: Tracking With Sobolev Active Contours
* 2007: 3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding
* 2007: Global Regularizing Flows With Topology Preservation for Active Contours and Polygons
* 2007: New Possibilities with Sobolev Active Contours
* 2007: Sobolev Active Contours
* 2008: Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours
* 2009: 3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding
* 2009: New Possibilities with Sobolev Active Contours
* 2009: On the set of images modulo viewpoint and contrast changes
* 2010: Curious snakes: A minimum latency solution to the cluttered background problem in active contours
* 2010: Tubular Surface Segmentation for Extracting Anatomical Structures From Medical Imagery
* 2011: New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering, A
* 2013: Modeling Self-Occlusions in Dynamic Shape and Appearance Tracking
* 2013: New Model and Simple Algorithms for Multi-label Mumford-Shah Problems, A
* 2014: FAST LABEL: Easy and Efficient Solution of Joint Multi-label and Estimation Problems
* 2014: Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints
* 2015: Coarse-to-fine region selection and matching
* 2015: Self-Occlusions and Disocclusions in Causal Video Object Segmentation
* 2015: Shape Tracking with Occlusions via Coarse-to-Fine Region-Based Sobolev Descent
* 2015: Shape-tailored local descriptors and their application to segmentation and tracking
* 2016: SurfCut: Free-Boundary Surface Extraction
* 2017: Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces
* 2017: Minimum Delay Moving Object Detection
* 2018: Extending Layered Models to 3D Motion
* 2018: Learned Shape-Tailored Descriptors for Segmentation
* 2019: Minimum Delay Object Detection From Video
* 2019: PDE Acceleration for Active Contours
* 2019: SurfCut: Surfaces of Minimal Paths from Topological Structures
* 2020: Accelerated Optimization in the PDE Framework Formulations for the Active Contour Case
* 2020: Accelerated Variational PDEs for Efficient Solution of Regularized Inversion Problems
* 2020: Phase Consistent Ecological Domain Adaptation
* 2021: Class-Agnostic Segmentation Loss and Its Application to Salient Object Detection and Segmentation
* 2021: Flow-Guided Video Inpainting with Scene Templates
* 2022: Accelerated Optimization in the PDE Framework: Formulations for the Manifold of Diffeomorphisms
Includes: Sundaramoorthi, G.[Ganesh] Sundaramoorthi, G.
35 for Sundaramoorthi, G.

Sundaramoorthy, S.[Selvaperumal] * 2018: Efficient approach for the automatic detection of haemorrhages in colour retinal images

Sundarapandian, M.[Manivannan] * 2015: Respiratory motion prediction from CBCT image observations using UKF

Sundararajan, A. * 2004: Deringing and deblocking DCT compression artifacts with efficient shifted transforms

Sundararajan, D. * 1998: Fast Computation of the Discrete Walsh and Hadamard Transforms

Sundararajan, E.[Elankovan] * 2009: Event Based Simulator for Parallel Computing over the Wide Area Network for Real Time Visualization
* 2015: Comparative Analysis of Different Versions of Association Rule Mining Algorithm on AWS-EC2

Sundararajan, K.[Kalaivani] * 2015: Head pose estimation in the wild using approximate view manifolds
* 2018: Deep Learning for Biometrics: A Survey

Sundararajan, M. * 2009: Improved Kernel Common Vector Method for Face Recognition
* 2010: Improved Kernel Common Vector Method for Face Recognition Varying in Background Conditions
* 2020: Attribution in Scale and Space
Includes: Sundararajan, M. Sundararajan, M.[Mukund]

Sundararajan, N. * 2000: Minimal radial basis function neural networks for nonlinear channel equalisation
* 2006: Complex-valued growing and pruning RBF neural networks for communication channel equalisation
* 2006: Image Quality Measurement Using Sparse Extreme Learning Machine Classifier
* 2010: Classification of abnormalities in digitized mammograms using Extreme Learning Machine
* 2019: CDAS: A Cognitive Decision-Making Architecture for Dynamic Airspace Sectorization for Efficient Operations
* 2021: Convolutional Filter Approximation Using Fractional Calculus
* 2021: Learning-Based Approach to Parametric Rotoscoping of Multi-Shape Systems, A
* 2024: Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier
Includes: Sundararajan, N. Sundararajan, N.[Narayan] Sundararajan, N.[Narasimhan]
8 for Sundararajan, N.

Sundararajan, R.[Raji] * 2012: Enhanced accuracy of breast cancer detection in digital mammograms using wavelet analysis
* 2012: Texture and statistical analysis of mammograms: A novel method to detect tumor in Breast Cells

Sundararajan, V. * 1997: Wavelet-Domain Algorithm for Denoising in the Presence of Noise Outliers, A
* 2001: Vector processing of wavelet coefficients for robust image denoising
* 2009: Identification of Defensins Employing Recurrence Quantification Analysis and Random Forest Classifiers

Sundararaman, M.N.[Mukuntha Narayanan] * 2021: Locate, Size, and Count: Accurately Resolving People in Dense Crowds via Detection

Sundararaman, R.[Ramana] * 2021: Tracking Pedestrian Heads in Dense Crowd
* 2022: Implicit Field Supervision for Robust Non-rigid Shape Matching

Sundaresan, A. * 2003: hidden markov model based framework for recognition of humans from gait sequences, A
* 2004: Identification of Humans Using Gait
* 2004: Multiple view tracking of humans modelled by kinematic chains
* 2006: Acquisition of Articulated Human Body Models Using Multiple Cameras
* 2006: Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues
* 2006: Segmentation and Probabilistic Registration of Articulated Body Models
* 2007: Robustness of Change Detection Algorithms in the Presence of Registration Errors
* 2008: Model Driven Segmentation of Articulating Humans in Laplacian Eigenspace
* 2009: Multicamera Tracking of Articulated Human Motion Using Shape and Motion Cues
Includes: Sundaresan, A. Sundaresan, A.[Aravind] Sundaresan, A.[Ashok]
9 for Sundaresan, A.

Sundaresan, M. * 2020: Tablet identification using support vector machine based text recognition and error correction by enhanced n-grams algorithm

Sundaresan, N.[Neel] * 2000: Web-Based Searching and Browsing of Multimedia Data
* 2013: Large-Scale Video Summarization Using Web-Image Priors
* 2013: Style Finder: Fine-Grained Clothing Style Detection and Retrieval
* 2014: Im2depth: Scalable exemplar based depth transfer
* 2015: Fast Approximate Matching of Videos from Hand-Held Cameras for Robust Background Subtraction

Sundaresan, S.[Sairam] * 2023: FLOAT: Fast Learnable Once-for-All Adversarial Training for Tunable Trade-off between Accuracy and Robustness
* 2023: InstaTune: Instantaneous Neural Architecture Search During Fine-Tuning

Sundaresan, S.R. * 2013: HotSpotter: Patterned species instance recognition

Sundaresan, V.[Vinusha] * 2021: Monozygotic twin face recognition: An in-depth analysis and plausible improvements
* 2021: Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M &Ms Challenge
Includes: Sundaresan, V.[Vinusha] Sundaresan, V.[Vaanathi]

Sundaresan, V.K. * 1992: VLSI hardware accelerator for dynamic time warping, A

Sundaresha, V.[Vignesh] * 2021: Localize to Binauralize: Audio Spatialization from Visual Sound Source Localization

Sundareshan, M. * 2000: Modeling and Extrapolation of Prior Scene Information for Set Theoretic Restoration and Super-resolution of Diffraction-limited Images

Sundareshan, M.K. * 1997: Neural-Network Fusion Capabilities for Efficient Implementation of Tracking Algorithms
* 2005: Accurate representation of local frequency using a computationally efficient Gabor filter fusion approach with application to image registration
* 2007: Multi-modal image registration using local frequency representation and computer-aided design (CAD) models
Includes: Sundareshan, M.K. Sundareshan, M.K.[Malur K.]

Sundareswara, R.[Rashmi] * 2005: Bayesian modelling of camera calibration and reconstruction
* 2011: Bayesian discounting of camera parameter uncertainty for optimal 3D reconstruction from images

Sundareswaran, K. * 2008: New Method for Registration-Based Medical Image Interpolation, A

Sundareswaran, S. * 2004: DARPA grand challenge: Development of an Autonomous Vehicle, The

Sundareswaran, V. * 1991: Egomotion from Global Flow Field Data
* 1992: Fast Method to Estimate Sensor Translation, A
* 1992: Global Methods for Image Motion Analysis
* 1993: Motion Parameter Estimation from Global Flow Field Data
* 1994: Active Camera Self-Orientation Using Dynamic Image Parameters
* 1996: Exploiting Image Motion for Active Vision in a Visual Servoing Framework

Sundari, M.J.[M. Jeya] * 2023: Factorization-based active contour segmentation and pelican optimization-based modified bidirectional long short-term memory for ovarian tumor detection

Sundarsingh, S.[Shirly] * 2020: Diagnosis of disc bulge and disc desiccation in lumbar MRI using concatenated shape and texture features with random forest classifier

Sunday, D.M. * 1990: Very Fast Substring Search Algorithm, A

Sundberg, J. * 2011: Interdependencies among Voice Source Parameters in Emotional Speech
* 2016: Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing, The

Sundberg, P. * 2003: Pose Estimation Using 3D View-Based Eigenspaces
* 2011: Occlusion boundary detection and figure/ground assignment from optical flow
Includes: Sundberg, P. Sundberg, P.[Patrik]

Sundblad, Y.[Yngve] * 2022: In Memoriam: Jan-Olof Eklundh

Sunde, M.G.[Michael G.] * 2018: Climate and Spring Phenology Effects on Autumn Phenology in the Greater Khingan Mountains, Northeastern China

Sunder, K. * 2015: Natural Sound Rendering for Headphones: Integration of signal processing techniques

Sunder, M.S.[Manisha Sam] * 2010: Block based texture analysis for iris classification and matching
* 2010: Iris Image Retrieval Based on Macro-features

Sunder, N.R.[Nayak Ramesh] * 2020: novel nonintrusive decision support approach for heart rate measurement, A

Sunder, S. * 1993: Systolic implementation of multidimensional nonrecursive digital filters
* 2020: Machine learning techniques for regional scale estimation of high-resolution cloud-free daily sea surface temperatures from MODIS data
* 2023: Detection and Monitoring of Small-Scale Diamond and Gold Mining Dredges Using Synthetic Aperture Radar on the Kadei (Sangha) River, Central African Republic
Includes: Sunder, S. Sunder, S.[Swathy] Sunder, S.[Sindhuja]

Sunderhauf, N.[Niko] * 2015: Evaluation of Features for Leaf Classification in Challenging Conditions
* 2015: Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition
* 2017: Episode-Based Active Learning with Bayesian Neural Networks
* 2018: QuadricSLAM: Dual Quadrics as SLAM Landmarks
* 2018: Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
* 2020: Probabilistic Object Detection: Definition and Evaluation
* 2020: Special Issue on Deep Learning for Robotic Vision
* 2021: Class Anchor Clustering: A Loss for Distance-based Open Set Recognition
* 2021: Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment
* 2021: VarifocalNet: An IoU-aware Dense Object Detector
* 2023: Hyperdimensional Feature Fusion for Out-of-Distribution Detection
* 2023: SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection
* 2024: ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields
Includes: Sunderhauf, N.[Niko] Sünderhauf, N.[Niko] (Maybe also Suenderhauf, N.)Sünderhauf, N. (Maybe also Suenderhauf, N.)
13 for Sunderhauf, N.

Sundermann, C.V.[Camila Vaccari] * 2014: Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems

Sundermeyer, M.[Martin] * 2018: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
* 2020: Augmented Autoencoders: Implicit 3D Orientation Learning for 6D Object Detection
* 2020: Multi-Path Learning for Object Pose Estimation Across Domains
* 2022: Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects
* 2023: BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects

Sunderrajan, S.[Santhoshkumar] * 2010: Distributed particle filter tracking with online multiple instance learning in a camera sensor network
* 2010: Particle Filter Tracking with Online Multiple Instance Learning
* 2013: Camera Alignment Using Trajectory Intersections in Unsynchronized Videos
* 2013: Graph-Based Topic-Focused Retrieval in Distributed Camera Network
* 2014: Marine Biodiversity Classification Using Dropout Regularization
* 2015: People Tracking in Camera Networks: Three Open Questions
* 2016: Context-Aware Hypergraph Modeling for Re-identification and Summarization
* 2017: Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval
Includes: Sunderrajan, S.[Santhoshkumar] Sunderrajan, S.
8 for Sunderrajan, S.

Sunderraman, R.[Rajshekhar] * 2017: survey of tag-based information retrieval, A

Sundet, N.O.[Nils Ole] * 2021: Archaeological Prospection in Wetlands: Experiences and Observations from Ground-Penetrating Radar Surveys in Norwegian Bogs

Sundgren, D.[David] * 2003: Bottom Reflectance Influence on a Color Correction Algorithm for Underwater Images
* 2005: Dissolved Organic Matters Impact on Colour Reconstruction in Underwater Images
Includes: Sundgren, D.[David] Sundgren, D.

Sundgren, P.C.[Pia C.] * 2015: BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease
* 2017: BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI

Sundic, T. * 2002: Machine olfaction: pattern recognition for the identification of aromas

Sundin, M. * 2012: Alternating Least-Squares for Low-Rank Matrix Reconstruction

Sundman, D. * 2012: Development of a Cooperative Heavy-Duty Vehicle for the GCDC 2011: Team Scoop, The

Sundqvist, P.[Per] * 2006: Accelerating the Computation of 3D Gradient Vector Flow Fields

Sundsbo, I. * 1998: Synthesis Filterbank with Low Hardware Complexity for Subband Image-Coding

Sundstedt, V.[Veronica] * 2004: Top-Down Visual Attention for Efficient Rendering of Task Related Scenes
* 2010: Real-Time Realistic Skin Translucency

Sundt, H.[Hakon] * 2021: Regionalized Linear Models for River Depth Retrieval Using 3-Band Multispectral Imagery and Green LIDAR Data
Includes: Sundt, H.[Hakon] Sundt, H.[Håkon]

Index for "s"