Comai, S.[Sara]
* 2015: Bridge: Mutual Reassurance for Autonomous and Independent Living
* 2020: Deep Learning for Land Use and Land Cover Classification based on Hyperspectral and Multispectral Earth Observation Data: A Review
* 2020: Indoor Mobile Mapping System and Crowd Simulation to Support School Reopening Because of Covid-19: A Case Study
Includes: Comai, S.[Sara] Comai, S.
Coman, A.[Adriana]
* 2023: Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations
Coman, E.[Emil]
* 2023: Mediating Effect of Emotions on Trust in the Context of Automated System Usage, The
Comanducci, D.[Dario]
* 2004: Accurate Automatic Localization of Surfaces of Revolution for Self-Calibration and Metric Reconstruction
* 2005: 3D Database Population from Single Views of Surfaces of Revolution
* 2006: Camera Calibration with Two Arbitrary Coaxial Circles
* 2006: Desktop 3D Scanner Exploiting Rotation and Visual Rectification of Laser Profiles, A
* 2007: Behavior monitoring through automatic analysis of video sequences
* 2007: Compact representation and probabilistic classification of human actions in videos
* 2007: Robust Iris Localization and Tracking based on Constrained Visual Fitting
* 2010: 2D-to-3D Photo Rendering for 3D Displays
* 2011: Automatic Bus Line Number Localization and Recognition on Mobile Phones: A Computer Vision Aid for the Visually Impaired
* 2011: Shape reconstruction and texture sampling by active rectification and virtual view synthesis
Includes: Comanducci, D.[Dario] Comanducci, D.
10 for Comanducci, D.
Comanducci, L.[Luca]
* 2021: Reconstructing Speech From CNN Embeddings
Comandur, B.[Bharath]
* 2016: variance-based Bayesian framework for improving Land-Cover classification through wide-area learning from large geographic regions, A
* 2017: Multi-view face recognition from single RGBD models of the faces
Comanescu, D.[Dan]
* 2014: Averaging on Manifolds by Embedding Algorithm
Comaniciu, D.[Dorin]
* 1997: Robust Analysis of Feature Spaces: Color Image Segmentation
* 1998: Bimodal System for Interactive Indexing and Retrieval of Pathology Images
* 1998: Shape-Based Image Indexing and Retrieval for Diagnostic Pathology
* 1999: Distribution Free Decomposition of Multivariate Data
* 1999: Image-guided decision support system for pathology
* 1999: Mean Shift Analysis and Applications
* 1999: Retrieval Performance Improvement Through Low Rank Corrections
* 2000: Mean Shift and Optimal Prediction for Efficient Object Tracking
* 2000: Performance Analysis in Content-based Retrieval with Textures
* 2000: Real-Time Tracking of Non-Rigid Objects using Mean Shift
* 2000: Robust Detection and Tracking of Human Faces with an Active Camera
* 2000: Statistical Modeling and Performance Characterization of a Real-Time Dual Camera Surveillance System
* 2001: Design, analysis, and engineering of video monitoring systems: An approach and a case study
* 2001: Parametric Representations for Nonlinear Modeling of Visual Data
* 2001: Variable Bandwidth Mean Shift and Data-Driven Scale Selection, The
* 2001: Vessel Detection by Mean Shift-Based Ray Propagation
* 2002: Adaptive Resolution System for Distributed Surveillance
* 2002: Bayesian Kernel Tracking
* 2002: Density estimation-based information fusion for multiple motion computation
* 2002: Image coding using transform vector quantization with training set synthesis
* 2002: Image segmentation using clustering with saddle point detection
* 2002: Mean Shift: A Robust Approach Toward Feature Space Analysis
* 2002: Multimodal Data Representations with Parameterized Local Structures
* 2002: Multivariate Saddle Point Detection for Statistical Clustering
* 2002: Smart cameras with real-time video object generation
* 2003: algorithm for data-driven bandwidth selection, An
* 2003: Common Viewpoint on Broad Kernel Filtering and Nonlinear Diffusion, A
* 2003: Component Fusion for Face Detection in the Presence of Heteroscedastic Noise
* 2003: Conditional feature sensitivity: a unifying view on active recognition and feature selection
* 2003: Dissimilarity computation through low rank corrections
* 2003: Kernel-based object tracking
* 2003: Nonparametric information fusion for motion estimation
* 2003: Real-Time Tracking of Non-Rigid Objects using Mean Shift
* 2004: common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift, A
* 2004: Coupled-Contour Tracking through Non-orthogonal Projections and Fusion for Echocardiography
* 2004: Incremental density approximation and kernel-based Bayesian filtering for object tracking
* 2004: Multi-Model Component-Based Tracking Using Robust Information Fusion
* 2004: probabilistic framework for object recognition in video, A
* 2004: Robust Algorithm for Characterizing Anisotropic Local Structures, A
* 2004: Robust Real-Time Myocardial Border Tracking for Echocardiography: An Information Fusion Approach
* 2004: Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization
* 2004: Special issue on statistical methods in video processing
* 2004: unified framework for uncertainty propagation in automatic shape tracking, A
* 2005: Database-Guided Segmentation of Anatomical Structures with Complex Appearance
* 2005: Illumination Normalization for Face Recognition and Uneven Background Correction Using Total Variation Based Image Models
* 2005: Image Based Regression Using Boosting Method
* 2005: Information Fusion Framework for Robust Shape Tracking, An
* 2005: Kernel-Based Bayesian Filtering for Object Tracking
* 2005: Multi-scale Vessel Boundary Detection
* 2005: Real-Time Vision at Siemens Corporate Research
* 2005: Robust Anisotropic Gaussian Fitting for Volumetric Characterization of Pulmonary Nodules in Multislice CT
* 2006: BoostMotion: Boosting a Discriminative Similarity Function for Motion Estimation
* 2006: Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
* 2006: Example Based Non-rigid Shape Detection
* 2006: Image-Based Multiclass Boosting and Echocardiographic View Classification
* 2006: Learning Based Approach for 3D Segmentation and Colon Detagging, A
* 2006: Method and system for multi-modal component-based tracking of an object using robust information fusion
* 2006: Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment
* 2006: Reliable Detection of Overtaking Vehicles Using Robust Information Fusion
* 2006: Simultaneous Registration and Modeling of Deformable Shapes
* 2006: Total Variation Models for Variable Lighting Face Recognition
* 2007: Automatic Cardiac View Classification of Echocardiogram
* 2007: boosting regression approach to medical anatomy detection, A
* 2007: Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
* 2007: Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
* 2007: Joint Real-time Object Detection and Pose Estimation Using Probabilistic Boosting Network
* 2007: probabilistic, hierarchical, and discriminant framework for rapid and accurate detection of deformable anatomic structure, A
* 2007: Real-time video object generation for smart cameras
* 2008: 3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers
* 2008: Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model
* 2008: Conditional density learning via regression with application to deformable shape segmentation
* 2008: Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree
* 2008: Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
* 2008: Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features
* 2008: Hierarchical, learning-based automatic liver segmentation
* 2008: Semantic-based indexing of fetal anatomies from 3-D ultrasound data using global/semi-local context and sequential sampling
* 2008: Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking
* 2008: Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography
* 2009: Automatic fetal face detection from ultrasound volumes via learning 3D and 2D information
* 2009: Automatic ovarian follicle quantification from 3D ultrasound data using global/local context with database guided segmentation
* 2009: Constrained marginal space learning for efficient 3D anatomical structure detection in medical images
* 2009: Robust guidewire tracking in fluoroscopy
* 2009: Robust Motion Estimation Using Trajectory Spectrum Learning: Application to Aortic and Mitral Valve Modeling from 4D TEE
* 2009: Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images
* 2009: Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework
* 2010: Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning
* 2010: Lymph node detection in 3-D chest CT using a spatial prior probability
* 2010: Multiple object detection by sequential monte carlo and Hierarchical Detection Network
* 2010: Patient-Specific Modeling and Quantification of the Aortic and Mitral Valves From 4-D Cardiac CT and TEE
* 2010: Search strategies for multiple landmark detection by submodular maximization
* 2011: Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
* 2011: Automatic Delineation of Left and Right Ventricles in Cardiac MRI Sequences Using a Joint Ventricular Model
* 2011: Learning-based hypothesis fusion for robust catheter tracking in 2D X-ray fluoroscopy
* 2011: Patient-Specific Model of Left Heart Anatomy, Dynamics and Hemodynamics from 4D TEE: A First Validation Study
* 2011: Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking
* 2011: Probabilistic Model for Automatic Segmentation of the Esophagus in 3-D CT Scans, A
* 2011: Robust discriminative wire structure modeling with application to stent enhancement in fluoroscopy
* 2011: Segmentation Based Features for Lymph Node Detection from 3-D Chest CT
* 2012: Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation
* 2012: Automatic Detection and Segmentation of Lymph Nodes From CT Data
* 2012: Automatic Localization of Balloon Markers and Guidewire in Rotational Fluoroscopy with Application to 3D Stent Reconstruction
* 2013: Image-based Co-Registration of Angiography and Intravascular Ultrasound Images
* 2014: Automatic Detection and Measurement of Structures in Fetal Head Ultrasound Volumes Using Sequential Estimation and Integrated Detection Network (IDN)
* 2014: Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation
* 2015: Data-Driven Model Reduction for Fast, High Fidelity Atrial Electrophysiology Computations
* 2015: Efficient Lattice Boltzmann Solver for Patient-Specific Radiofrequency Ablation of Hepatic Tumors
* 2015: Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case Study
* 2015: Robust object tracking using semi-supervised appearance dictionary learning
* 2016: Deep Decision Network for Multi-class Image Classification
* 2016: Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing
* 2018: Generating Synthetic X-Ray Images of a Person from the Surface Geometry
* 2019: Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans
* 2021: Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans
* 2021: No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks
* 2023: Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy
Includes: Comaniciu, D.[Dorin] Comaniciu, D.
115 for Comaniciu, D.
Comar, P.M.[Prakash Mandayam]
* 2012: Recursive NMF: Efficient label tree learning for large multi-class problems
Comas, A.[Armand]
* 2021: Turnip: Time-Series U-Net With Recurrence for NIR Imaging PPG
Comas, D.[David]
* 2003: Unbalanced Multiple-Description Video Coding with Rate-Distortion Optimization
Comas, J.
* 2020: End-to-end Facial and Physiological Model for Affective Computing and Applications
* 2022: Efficient Remote Photoplethysmography with Temporal Derivative Modules and Time-Shift Invariant Loss
Includes: Comas, J. Comas, J.[Joaquim]
Comaschi, F.[Francesco]
* 2014: tool for fast ground truth generation for object detection and tracking from video, A
* 2015: Online multi-face detection and tracking using detector confidence and structured SVMs