Index for kaka

Kaka, S.[SanLinn] * 2022: Gravity Survey on the Oil-Bearing Dammam Dome (Eastern Saudi Arabia) and Its Implications

Kaka, S.I. * 2018: Array Processing in Microseismic Monitoring: Detection, Enhancement, and Localization of Induced Seismicity

Kakade, S.[Sham] * 2007: Leveraging archival video for building face datasets

Kakadiaris, I.[Ioannis] * 2011: Fine-grained categorization of fish motion patterns in underwater videos
* 2011: Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors
* 2019: Adversarial Representation Learning for Text-to-Image Matching
* 2019: Illumination-Invariant Face Recognition With Deep Relit Face Images
* 2020: EDGE20: A Cross Spectral Evaluation Dataset for Multiple Surveillance Problems
Includes: Kakadiaris, I.[Ioannis] Kakadiaris, I.

Kakadiaris, I.A.[Ioannis A.] * 1994: Active Part-Decomposition, Shape and Motion Estimation of Articulated Objects: A Physics-based Approach
* 1995: 3D Human Body Model Acquisition from Multiple Views
* 1996: Elastically Adaptive Deformable Models
* 1996: Model-Based Estimation of 3D Human Motion with Occlusion Based on Active Multi-Viewpoint Selection
* 1997: Inferring 2D Object Structure from the Deformation of Apparent Contours
* 1998: Three-Dimensional Human Body Model Acquisition from Multiple Views
* 2000: Estimating Anthropometry and Pose from a Single Image
* 2000: Improvement of Anthropomery and Pose Estimation from a Single Uncalibrated Image, The
* 2000: Model-Based Estimation of 3D Human Motion
* 2001: Estimating Anthropometry and Pose from a Single Uncalibrated Image
* 2002: Elastically Adaptive Deformable Models
* 2002: g-HDAF Multiresolution Deformable Models
* 2002: g-HDAF Multiresolution Deformable Models for Shape Modeling and Reconstruction
* 2002: Towards automatic analysis of DNA microarrays
* 2003: Introduction to the special issue on human modeling, analysis, and synthesis
* 2003: On the Improvement of Anthropometry and Pose Estimation from a Single Uncalibrated Image
* 2004: Face Recognition in the Thermal Infrared Spectrum
* 2004: Towards robust structure-based enhancement and horizon picking in 3-D seismic data
* 2005: 8D-THERMO CAM: Combination of Geometry with Physiological Information for Face Recognition
* 2005: Automatic Segmentation of Abdominal Fat from CT Data
* 2005: Evaluation of 3D Face Recognition in the presence of facial expressions: an Annotated Deformable Model approach
* 2005: Multimodal Face Recognition: Combination of Geometry with Physiological Information
* 2006: 3D Face Recognition
* 2006: Automatic Reconstruction of Dendrite Morphology from Optical Section Stacks
* 2006: Image Denoising Using a Tight Frame
* 2006: Image Segmentation Based on Fuzzy Connectedness Using Dynamic Weights
* 2007: Intraclass Retrieval of Nonrigid 3D Objects: Application to Face Recognition
* 2007: Learning-Based Segmentation Framework for Tissue Images Containing Gene Expression Data
* 2007: Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach
* 2007: Towards fast 3D ear recognition for real-life biometric applications
* 2008: Denoising for 3-D Photon-Limited Imaging Data Using Nonseparable Filterbanks
* 2008: probabilistic segmentation method for the identification of luminal borders in intravascular ultrasound images, A
* 2008: Profile-based face recognition
* 2008: Unified 3D face and ear recognition using wavelets on geometry images
* 2008: Wavelet-Based Bayesian Image Estimation: From Marginal and Bivariate Prior Models to Multivariate Prior Models
* 2009: 3D Statistical Facial Feature Model and Its Application on Locating Facial Landmarks, A
* 2009: 3D-aided profile-based face recognition
* 2009: Automatic 3d Facial Region Retrieval From Multi-Pose Facial Datasets
* 2009: Challenges and Opportunities for Extracting Cardiovascular Risk Biomarkers from Imaging Data
* 2009: Fuzzy-Cuts: A knowledge-driven graph-based method for medical image segmentation
* 2009: Kernel active contour
* 2009: Local Feature Hashing for face recognition
* 2009: Partial matching of interpose 3D facial data for face recognition
* 2009: simplified error model for height estimation using a single camera, A
* 2009: Towards 3D-aided profile-based face recognition
* 2010: Bidirectional relighting for 3D-aided 2D face recognition
* 2010: Ethnicity- and Gender-based Subject Retrieval Using 3-D Face-Recognition Techniques
* 2010: Patch-cuts: A Graph-based Image Segmentation Method Using Patch Features and Spatial Relations
* 2010: Personalized 3D-Aided 2D Facial Landmark Localization
* 2010: shape-driven MRF model for the segmentation of organs in medical images, A
* 2011: 3D facial expression recognition: A perspective on promises and challenges
* 2011: 4D facial expression recognition
* 2011: Accurate Landmarking of Three-Dimensional Facial Data in the Presence of Facial Expressions and Occlusions Using a Three-Dimensional Statistical Facial Feature Model
* 2011: Comparative evaluation of wavelet-based super-resolution from video for face recognition at a distance
* 2011: Expressive Maps for 3D Facial Expression Recognition
* 2011: Facial component-landmark detection
* 2011: Landmark/image-based deformable registration of gene expression data
* 2011: Markov Random Field-based fitting of a subdivision-based geometric atlas
* 2011: Modeling Motion of Body Parts for Action Recognition
* 2011: Pose invariant facial component-landmark detection
* 2011: Predicting Social Interactions for Visual Tracking
* 2011: Sparse Representation-Based Super Resolution for Face Recognition At a Distance
* 2011: Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition
* 2011: Which parts of the face give out your identity?
* 2012: 3D/4D facial expression analysis: An advanced annotated face model approach
* 2012: Illumination Normalization Using Self-lighting Ratios for 3D2D Face Recognition
* 2012: Part-based motion descriptor image for human action recognition
* 2012: Profile-based 3D-aided face recognition
* 2012: To Track or To Detect? An Ensemble Framework for Optimal Selection
* 2013: 3D Face Discriminant Analysis Using Gauss-Markov Posterior Marginals
* 2013: 3D face recognition for partial data using Semi-Coupled Dictionary Learning
* 2013: 3D Facial Landmark Detection under Large Yaw and Expression Variations
* 2013: Benchmarking asymmetric 3D-2D face recognition systems
* 2013: Illumination alignment using lighting ratio: Application to 3D-2D face recognition
* 2013: PDM-ENLOR: Learning Ensemble of Local PDM-Based Regressions
* 2013: UHDB11 Database for 3D-2D Face Recognition
* 2014: Activity analysis in crowded environments using social cues for group discovery and human interaction modeling
* 2014: Benchmarking 3D Pose Estimation for Face Recognition
* 2014: Feature fusion for facial landmark detection
* 2014: Fully Associative Ensemble Learning for Hierarchical Multi-Label Classification
* 2014: Matching mixtures of curves for human action recognition
* 2014: Minimizing Illumination Differences for 3D to 2D Face Recognition Using Lighting Maps
* 2014: Modeling local behavior for predicting social interactions towards human tracking
* 2014: NEATER: Filtering of Over-sampled Data Using Non-cooperative Game Theory
* 2014: Robust 3D Face Shape Reconstruction from Single Images via Two-Fold Coupled Structure Learning and Off-the-Shelf Landmark Detectors
* 2014: What Do I See? Modeling Human Visual Perception for Multi-person Tracking
* 2015: Addressing the illumination challenge in two-dimensional face recognition: a survey
* 2016: 3D Human pose estimation: A review of the literature and analysis of covariates
* 2016: Active privileged learning of human activities from weakly labeled samples
* 2016: Age Classification from Facial Images: Is Frontalization Necessary?
* 2016: DeTEC: Detection of Touching Elongated Cells in SEM Images
* 2016: Predicting privileged information for height estimation
* 2016: Regression-based metric learning
* 2016: Show me your body: Gender classification from still images
* 2017: 3D-2D face recognition with pose and illumination normalization
* 2017: Adaptive SVM+: Learning with Privileged Information for Domain Adaptation
* 2017: Curriculum Learning for Multi-task Classification of Visual Attributes
* 2017: End-to-End 3D Face Reconstruction with Deep Neural Networks
* 2017: Hierarchical Multi-label Classification using Fully Associative Ensemble Learning
* 2017: Identifying Human Behaviors Using Synchronized Audio-Visual Cues
* 2017: Inferring Human Activities Using Robust Privileged Probabilistic Learning
* 2017: Joint Head Pose Estimation and Face Alignment Framework Using Global and Local CNN Features
* 2017: Joint prototype and metric learning for image set classification: Application to video face identification
* 2017: UHDB31: A Dataset for Better Understanding Face Recognition Across Pose and Illumination Variation
* 2018: Annotated face model-based alignment: a robust landmark-free pose estimation approach for 3D model registration
* 2018: Confidence-Driven Network for Point-to-Set Matching
* 2018: Curriculum learning of visual attribute clusters for multi-task classification
* 2018: Deep Imbalanced Attribute Classification Using Visual Attention Aggregation
* 2018: GoDP: Globally Optimized Dual Pathway deep network architecture for facial landmark localization in-the-wild
* 2018: Monocular 3D facial shape reconstruction from a single 2D image with coupled-dictionary learning and sparse coding
* 2018: Multi-view 3D face reconstruction with deep recurrent neural networks
* 2018: On the Fusion of RGB and Depth Information for Hand Pose Estimation
* 2018: Patch-Based Face Recognition Using a Hierarchical Multi-Label Matcher
* 2018: Robust Incremental Hidden Conditional Random Fields for Human Action Recognition
* 2019: FaRE: Open Source Face Recognition Performance Evaluation Package
* 2019: On the Importance of Feature Aggregation for Face Reconstruction
* 2019: Recaspia: Recognizing Carrying Actions in Single Images Using Privileged Information
* 2020: On Improving the Generalization of Face Recognition in the Presence of Occlusions
Includes: Kakadiaris, I.A.[Ioannis A.] Kakadiaris, I.A.
118 for Kakadiaris, I.A.

Kakakhail, A.[Ahmad] * 2023: automatic gastric polyp detection technique using deep learning, An

Kakaletsis, E.[Efstratios] * 2018: Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix
* 2018: Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints
* 2019: Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS
* 2021: Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-Based Safe Landing Pipeline Example
* 2021: Multiview vision-based human crowd localization for UAV fleet flight safety
Includes: Kakaletsis, E.[Efstratios] Kakaletsis, E.

Kakalis, N.M.P. * 2008: Haemodynamics of Endovascular Aneurysm Treatment: A Computational Modelling Approach for Estimating the Influence of Multiple Coil Deployment, The

Kakamu, Y.[Yoshiki] * 2022: Predicting Human Behavior Using 3D Loop ResNet

Kakani, N. * 2020: Automatic Radiofrequency Ablation Planning for Liver Tumors With Multiple Constraints Based on Set Covering

Kakani, V. * 2012: Discrimination of Switchgrass Cultivars and Nitrogen Treatments Using Pigment Profiles and Hyperspectral Leaf Reflectance Data

Kakani, V.G.[Vijaya G.] * 2017: Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum
* 2017: Utility of remote sensing-based surface energy balance models to track water stress in rain-fed switchgrass under dry and wet conditions
* 2022: Dormant Season Vegetation Phenology and Eddy Fluxes in Native Tallgrass Prairies of the U.S. Southern Plains

Kakantousis, T.[Theofilos] * 2022: Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks

Kakanuru, S.[Sumithra] * 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2017: Correlation-Based Tracker-Level Fusion for Robust Visual Tracking
Includes: Kakanuru, S.[Sumithra] Kakanuru, S.

Kakar, D.M.[Din M.] * 2016: Study of Subsidence and Earthquake Swarms in the Western Pakistan

Kakar, N.[Najeebullah] * 2016: Study of Subsidence and Earthquake Swarms in the Western Pakistan

Kakar, P. * 2011: Exposing Digital Image Forgeries by Detecting Discrepancies in Motion Blur

Kakarala, R. * 1992: On Achievable Accuracy in Edge Localization
* 1993: Uniqueness of Results for Multiple Correlations of Periodic Functions
* 1996: Estimation of Phase for Noisy Linear Phase Signals
* 1998: Testing for Convexity with Fourier Descriptors
* 2001: Signal analysis using a multiresolution form of the singular value decomposition
* 2002: Albedo recovery using a photometric stereo approach
* 2010: Data-Driven Approach to Understanding Skill in Photographic Composition, A
* 2010: theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations, A
* 2011: Viewpoint invariants from three-dimensional data: The role of reflection in human activity understanding
* 2012: Bispectrum as a Source of Phase-Sensitive Invariants for Fourier Descriptors: A Group-Theoretic Approach, The
* 2012: Human pose tracking by parametric annealing
* 2013: Consensus of k-NNs for Robust Neighborhood Selection on Graph-Based Manifolds
* 2013: Directional Chamfer Matching in 2.5 Dimensions
* 2013: Parametric annealing: A stochastic search method for human pose tracking
* 2013: Perceptually motivated shape context which uses shape interiors
* 2013: Rating Image Aesthetics Using a Crowd Sourcing Approach
* 2013: Robust Integrated Framework for Segmentation and Tracking, A
* 2013: Three-Dimensional Bilateral Symmetry Plane Estimation in the Phase Domain
* 2013: What parts of a shape are discriminative?
* 2014: comparative analysis of capacitive touch panel grid designs and interpolation methods, A
* 2014: method for fusing a pair of images in the JPEG domain, A
* 2014: Probabilistic State Space Decomposition for Human Motion Capture
* 2017: Notes on shape based tools for treating the objects ellipticity issues
Includes: Kakarala, R. Kakarala, R.[Ramakrishna]
23 for Kakarala, R.

Kakarla, J.[Jagadeesh] * 2021: Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network
* 2023: Three level automatic segmentation of optic disc using LAB color space contours and morphological operation

Kakarountas, A.P.[Athanasios P.] * 2008: Efficient high-performance implementation of JPEG-LS encoder

Kakas, A.[Antonis] * 2021: Rule Extraction in the Assessment of Brain MRI Lesions in Multiple Sclerosis: Preliminary Findings
* 2023: Comparative Study of Explainable Ai models in the Assessment of Multiple Sclerosis, A

Index for "k"


Last update: 2-May-24 21:08:06
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