Crema, A.[Alberto]
* 2016: Spatial Data Infrastructure Integrating Multisource Heterogeneous Geospatial Data and Time Series: A Study Case in Agriculture, A
* 2019: Estimating Crop Density From Multi-spectral UAV Imagery in Maize Crop
* 2020: Influence of Soil Properties on Maize and Wheat Nitrogen Status Assessment from Sentinel-2 Data
* 2024: Effectiveness of Management Zones Delineated from UAV and Sentinel-2 Data for Precision Viticulture Applications
Includes: Crema, A.[Alberto] Crema, A.
Crema, E.R.[Enrico R.]
* 2017: High and Medium Resolution Satellite Imagery to Evaluate Late Holocene Human-Environment Interactions in Arid Lands: A Case Study from the Central Sahara
Crema, S.C.[Stefano C.]
* 2022: Probabilistic Tracking of Annual Cropland Changes over Large, Complex Agricultural Landscapes Using Google Earth Engine
Cremaschini, F.
* 2021: Spatio Temporal Data Cube Applied to AIS Containerships Trend Analysis In the Early Years of the Belt and Road Initiative - From Global To Local Scale
Cremer, C.
* 2002: Hybrid Approach to the 3D High Precision Position Measurement and Particle Tracking in Human Cell Nuclei, A
Cremer, F.[Felix]
* 2018: Potential of Multi-Temporal ALOS-2 PALSAR-2 ScanSAR Data for Vegetation Height Estimation in Tropical Forests of Mexico
Cremer, R.[Roswitha]
* 2015: Digging the METEOSAT Treasure: 3 Decades of Solar Surface Radiation
* 2017: Satellite-Based Sunshine Duration Climate Data Record for Europe and Africa, A
Cremer, T.
* 2002: Hybrid Approach to the 3D High Precision Position Measurement and Particle Tracking in Human Cell Nuclei, A
* 2008: Nonrigid Registration of 3-D Multichannel Microscopy Images of Cell Nuclei
Cremers, A.B.[Armin B.]
* 1998: Experiences with an interactive museum tour-guide robot
* 1998: Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D
* 1999: Experiences with an interactive museum tour-guide robot
* 1999: Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application
* 2001: Tracking Multiple Moving Objects with a Mobile Robot
* 2004: Story of the GeoToolKit: An Object-Oriented Geodatabase Kernel System, The
* 2012: Adaptive Multi-Cue 3D Tracking of Arbitrary Objects
* 2013: Discriminable Points That Stick Out of Their Environment
* 2013: Moving pedestrian detection based on motion segmentation
* 2013: Multi-scale region-based saliency detection using W2 distance on N-dimensional normal distributions
* 2014: Center-Surround Contrast Features for Pedestrian Detection
* 2014: Cognitive Approach for Object Discovery, A
* 2014: Informed Haar-Like Features Improve Pedestrian Detection
* 2014: Multisize Superpixel Approach for Salient Object Detection Based on Multivariate Normal Distribution Estimation, A
* 2015: Efficient Pedestrian Detection via Rectangular Features Based on a Statistical Shape Model
* 2015: Exploring Human Vision Driven Features for Pedestrian Detection
* 2016: Realtime Hierarchical Clustering Based on Boundary and Surface Statistics
Includes: Cremers, A.B.[Armin B.] Cremers, A.B.[Armin Bernd] Cremers, A.B.
17 for Cremers, A.B.
Cremers, A.H.M.[Anita H.M.]
* 2010: Challenges in 3D Geo Information and Participatory Design and Decision
Cremers, D.
* 1900: Statistical and Geometrical Approaches to Visual Motion Analysis
* 2001: Convex Relaxation for Figure-Ground Discrimination and Perceptual Grouping
* 2001: Diffusion-Snakes: Combining Statistical Shape Knowledge and Image Information in a Variational Framework
* 2001: Nonlinear Shape Statistics via Kernel Spaces
* 2001: Relaxations for Binary Image Partitioning and Perceptual Grouping
* 2002: Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
* 2002: Motion Competition: Variational Integration of Motion Segmentation and Shape Regularization
* 2002: Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
* 2002: Statistical Shape Knowledge in Variational Image Segmentation
* 2002: Unsupervised Image Partitioning with Semidefinite Programming
* 2003: Binary partitioning, perceptual grouping, and restoration with semidefinite programming
* 2003: Dynamic texture segmentation
* 2003: Generative Model Based Approach to Motion Segmentation, A
* 2003: Multiphase Level Set Framework for Motion Segmentation, A
* 2003: Shape Statistics in Kernel Space for Variational Image Segmentation
* 2003: Statistical Shape Knowledge in Variational Motion Segmentation
* 2003: Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling
* 2003: variational framework for image segmentation combining motion estimation and shape regularization, A
* 2003: Variational space-time motion segmentation
* 2004: Kernel Density Estimation and Intrinsic Alignment for Knowledge-Driven Segmentation: Teaching Level Sets to Walk
* 2004: Shedding light on stereoscopic segmentation
* 2005: Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation
* 2005: One-Shot Integral Invariant Shape Priors for Variational Segmentation
* 2005: What Metrics Can Be Approximated by Geo-Cuts, Or Global Optimization of Length/Area and Flux
* 2006: Comparison of Shape Matching Methods for Contour Based Pose Estimation, A
* 2006: Dynamical Statistical Shape Priors for Level Set-Based Tracking
* 2006: High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
* 2006: Integral Invariants for Shape Matching
* 2006: Integral Solution to Surface Evolution PDEs Via Geo-cuts, An
* 2006: Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation
* 2006: Multiphase Dynamic Labeling Model for Variational Recognition-driven Image Segmentation, A
* 2006: Near Real-Time Motion Segmentation Using Graph Cuts
* 2006: Nonparametric Density Estimation for Human Pose Tracking
* 2006: Nonparametric Priors on the Space of Joint Intensity Distributions for Non-Rigid Multi-Modal Image Registration
* 2006: Realtime Depth Estimation and Obstacle Detection from Monocular Video
* 2006: Robust Variational Segmentation of 3D Objects from Multiple Views
* 2006: Shape Matching by Variational Computation of Geodesics on a Manifold
* 2006: Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
* 2007: Continuous Global Optimization in Multiview 3D Reconstruction
* 2007: Efficient Shape Matching Via Graph Cuts
* 2007: Fast Matching of Planar Shapes in Sub-cubic Runtime
* 2007: Globally Optimal Image Segmentation with an Elastic Shape Prior
* 2007: Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts
* 2007: Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs
* 2007: Iterated Nonlocal Means for Texture Restoration
* 2007: Nonlinear Dynamical Shape Priors for Level Set Segmentation
* 2007: Nonparametric Density Estimation with Adaptive, Anisotropic Kernels for Human Motion Tracking
* 2007: Occlusion Modeling by Tracking Multiple Objects
* 2007: On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
* 2007: Online Smoothing for Markerless Motion Capture
* 2007: Region-Based Pose Tracking
* 2007: Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape, A
* 2007: WarpCut: Fast Obstacle Segmentation in Monocular Video
* 2008: 3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination
* 2008: Continuous Energy Minimization Via Repeated Binary Fusion
* 2008: Contours, Optic Flow, and Prior Knowledge: Cues for Capturing 3D Human Motion in Videos
* 2008: Convex Formulation of Continuous Multi-label Problems, A
* 2008: Duality TV-L1 flow with fundamental matrix prior
* 2008: Efficient Dense Scene Flow from Sparse or Dense Stereo Data
* 2008: Efficient Nonlocal Means for Denoising of Textural Patterns
* 2008: Experimental Comparison of Discrete and Continuous Shape Optimization Methods, An
* 2008: Fast and exact solution of Total Variation models on the GPU
* 2008: Globally optimal shape-based tracking in real-time
* 2008: High resolution motion layer decomposition using dual-space graph cuts
* 2008: Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces
* 2008: Integration of Multiview Stereo and Silhouettes Via Convex Functionals on Convex Domains
* 2008: Markerless motion capture of man-machine interaction
* 2008: Matching non-rigidly deformable shapes across images: A globally optimal solution
* 2008: Modeling and Tracking Line-Constrained Mechanical Systems
* 2008: Shape priors in variational image segmentation: Convexity, Lipschitz continuity and globally optimal solutions
* 2008: TVSeg: Interactive Total Variation Based Image Segmentation
* 2008: Unbiased Second-Order Prior for High-Accuracy Motion Estimation, An
* 2009: algorithm for minimizing the Mumford-Shah functional, An
* 2009: Anisotropic Huber-L1 Optical Flow
* 2009: B-Spline Modeling of Road Surfaces With an Application to Free-Space Estimation
* 2009: Beyond connecting the dots: A polynomial-time algorithm for segmentation and boundary estimation with imprecise user input
* 2009: Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors, A
* 2009: Continuous Global Optimization in Multiview 3D Reconstruction
* 2009: Continuous ratio optimization via convex relaxation with applications to multiview 3D reconstruction
* 2009: convex relaxation approach for computing minimal partitions, A
* 2009: Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation
* 2009: Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
* 2009: Efficient planar graph cuts with applications in Computer Vision
* 2009: Large displacement optical flow computation without warping
* 2009: Motion field and occlusion time estimation via alternate exposure flow
* 2009: Non-parametric Single View Reconstruction of Curved Objects Using Convex Optimization
* 2009: On Local Region Models and a Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
* 2009: Structure- and motion-adaptive regularization for high accuracy optic flow
* 2009: Super-Resolution Framework for High-Accuracy Multiview Reconstruction, A
* 2009: Superresolution texture maps for multiview reconstruction
* 2009: Video Super Resolution Using Duality Based TV-L1 Optical Flow
* 2010: Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo
* 2010: approach to vectorial total variation based on geometric measure theory, An
* 2010: Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking, A
* 2010: Combined Region and Motion-Based 3D Tracking of Rigid and Articulated Objects
* 2010: Convex Relaxation for Multilabel Problems with Product Label Spaces
* 2010: Global Solutions Of Variational Models With Convex Regularization
* 2010: Image-Based 3D Modeling via Cheeger Sets
* 2010: Interactive Motion Segmentation
* 2010: Real-Time Dense Geometry from a Handheld Camera
* 2010: Silhouette-Based Variational Methods for Single View Reconstruction
* 2010: Two Algorithms for Motion Estimation from Alternate Exposure Images
* 2011: convex framework for image segmentation with moment constraints, A
* 2011: Decoupling photometry and geometry in dense variational camera calibration
* 2011: Dense Elastic 3D Shape Matching
* 2011: Elastic Ratio: Introducing Curvature Into Ratio-Based Image Segmentation, The
* 2011: Generalized ordering constraints for multilabel optimization
* 2011: Geometrically consistent elastic matching of 3D shapes: A linear programming solution
* 2011: Introducing total curvature for image processing
* 2011: Motion Field Estimation from Alternate Exposure Images
* 2011: Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains
* 2011: Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor
* 2011: Real-time visual odometry from dense RGB-D images
* 2011: Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches
* 2011: Stereo Scene Flow for 3D Motion Analysis
* 2011: Stereoscopic Scene Flow Computation for 3D Motion Understanding
* 2011: Tight convex relaxations for vector-valued labeling problems
* 2011: Total variation for cyclic structures: Convex relaxation and efficient minimization
* 2011: variational approach to vesicle membrane reconstruction from fluorescence imaging, A
* 2011: wave kernel signature: A quantum mechanical approach to shape analysis, The
* 2012: Coding-Cost Framework for Super-Resolution Motion Layer Decomposition, A
* 2012: Convex Approach to Minimal Partitions, A
* 2012: convex representation for the vectorial Mumford-Shah functional, A
* 2012: Fast and globally optimal single view reconstruction of curved objects
* 2012: Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images
* 2012: Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency
* 2012: Groupwise Shape Registration Based on Entropy Minimization
* 2012: Image segmentation with one shape prior: A template-based formulation
* 2012: Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization, A
* 2012: Natural Vectorial Total Variation Which Arises from Geometric Measure Theory, The
* 2012: Nonmetric Priors for Continuous Multilabel Optimization
* 2012: Optimal solutions for semantic image decomposition
* 2012: Wehrli 2.0: An Algorithm for Tidying up Art
* 2013: Convex Optimization for Scene Understanding
* 2013: Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction, A
* 2013: CopyMe3D: Scanning and Printing Persons in 3D
* 2013: Dense Tracking and Mapping with a Quadrocopter
* 2013: Depth-adaptive supervoxels for RGB-D video segmentation
* 2013: Efficient Shape Matching using Vector Extrapolation
* 2013: Elastic Net Constraints for Shape Matching
* 2013: Fast and Accurate Large-Scale Stereo Reconstruction Using Variational Methods
* 2013: Graph Based Bundle Adjustment for INS-Camera Calibration, A
* 2013: Large-Scale Multi-resolution Surface Reconstruction from RGB-D Sequences
* 2013: Performance Evaluation of Narrow Band Methods for Variational Stereo Reconstruction
* 2013: Proportion Priors for Image Sequence Segmentation
* 2013: Proximity Priors for Variational Semantic Segmentation and Recognition
* 2013: Relative Volume Constraints for Single View 3D Reconstruction
* 2013: Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images
* 2013: Semi-dense Visual Odometry for a Monocular Camera
* 2013: Spatially Varying Color Distributions for Interactive Multilabel Segmentation
* 2013: Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model, A
* 2013: Tight Convex Relaxations for Vector-Valued Labeling
* 2013: Total Cyclic Variation and Generalizations
* 2013: Total Variation Regularization for Functions with Values in a Manifold
* 2013: Tree Shape Priors with Connectivity Constraints Using Convex Relaxation on General Graphs
* 2014: Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes
* 2014: Anisotropic Laplace-Beltrami Operators for Shape Analysis
* 2014: Co-Sparse Textural Similarity for Interactive Segmentation
* 2014: Convex Relaxation of Vectorial Problems with Coupled Regularization
* 2014: Dense Non-rigid Shape Correspondence Using Random Forests
* 2014: DSM Accuracy Evaluation for the ISPRS Commission I Image Matching Benchmark
* 2014: Flow and Color Inpainting for Video Completion
* 2014: Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction
* 2014: High-Resolution Plant Shape Measurements from Multi-view Stereo Reconstruction
* 2014: Introduction to the special issue on visual understanding and applications with RGB-D cameras
* 2014: Learning Similarities for Rigid and Non-rigid Object Detection
* 2014: LSD-SLAM: Large-Scale Direct Monocular SLAM
* 2014: Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis
* 2014: Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional
* 2014: Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation
* 2014: Spatial and Temporal Interpolation of Multi-view Image Sequences
* 2014: Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data
* 2014: Super-Resolution Framework for High-Accuracy Multiview Reconstruction, A
* 2014: Surface Normal Integration for Convex Space-time Multi-view Reconstruction
* 2014: Towards Illumination-Invariant 3D Reconstruction Using ToF RGB-D Cameras
* 2015: Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction
* 2015: Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras
* 2015: Entropy Minimization for Convex Relaxation Approaches
* 2015: Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications
* 2015: Fast Projection Method for Connectivity Constraints in Image Segmentation, A
* 2015: FlowNet: Learning Optical Flow with Convolutional Networks
* 2015: Interactive Multi-label Segmentation of RGB-D Images
* 2015: Learning Nonlinear Spectral Filters for Color Image Reconstruction
* 2015: Low Rank Priors for Color Image Regularization
* 2015: Model-Based Tracking at 300Hz Using Raw Time-of-Flight Observations
* 2015: Novel Framework for Nonlocal Vectorial Total Variation Based on L p,q,r-norms, A
* 2015: Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation
* 2015: Primal-Dual Hybrid Gradient Method for Semiconvex Splittings, The
* 2015: Role of Diffusion in Figure Hunt Games, The
* 2015: simple and effective relevance-based point sampling for 3D shapes, A
* 2015: Spectral Representations of One-Homogeneous Functionals
* 2015: Variational Depth From Focus Reconstruction
* 2016: Collaborative Total Variation: A General Framework for Vectorial TV Models
* 2016: Convex Solution to Spatially-Regularized Correspondence Problems, A
* 2016: Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
* 2016: FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-Based CNN Architecture
* 2016: game-theoretical approach for joint matching of multiple feature throughout unordered images, A
* 2016: Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation, A
* 2016: Midrange Geometric Interactions for Semantic Segmentation
* 2016: Non-rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding
* 2016: On the Implementation of Collaborative TV Regularization: Application to Cartoon+Texture Decomposition
* 2016: q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans
* 2016: Real-Time Monocular Segmentation and Pose Tracking of Multiple Objects
* 2016: Spectral Decompositions Using One-Homogeneous Functionals
* 2016: Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies
* 2016: Sublabel-Accurate Relaxation of Nonconvex Energies
* 2017: Associative Domain Adaptation
* 2017: Beyond Multi-view Stereo: Shading-Reflectance Decomposition
* 2017: Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching, A
* 2017: Depth Super-Resolution Meets Uncalibrated Photometric Stereo
* 2017: Direct methods for 3D reconstruction and visual SLAM
* 2017: Efficient Background Term for 3D Reconstruction and Tracking with Smooth Surface Models, An
* 2017: Image-Based Localization Using LSTMs for Structured Feature Correlation
* 2017: Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting
* 2017: KillingFusion: Non-rigid 3D Reconstruction without Correspondences
* 2017: Learning by Association: A Versatile Semi-Supervised Training Method for Neural Networks
* 2017: Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
* 2017: Multiframe Motion Coupling for Video Super Resolution
* 2017: Non-convex Variational Approach to Photometric Stereo under Inaccurate Lighting, A
* 2017: Nonlinear Spectral Image Fusion
* 2017: One-Shot Video Object Segmentation
* 2017: Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space
* 2017: Real-Time Monocular Pose Estimation of 3D Objects Using Temporally Consistent Local Color Histograms
* 2017: Semi-calibrated Near-Light Photometric Stereo
* 2017: Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization
* 2017: Spatially Regularized Fusion of Multiresolution Digital Surface Models
* 2017: Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras
* 2017: Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems
* 2017: Variational Approach to Shape-from-Shading Under Natural Illumination, A
* 2018: Associative Deep Clustering: Training a Classification Network with No Labels
* 2018: Deep Depth from Focus
* 2018: Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
* 2018: DeepWrinkles: Accurate and Realistic Clothing Modeling
* 2018: Direct Sparse Odometry
* 2018: Direct Sparse Odometry with Rolling Shutter
* 2018: Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
* 2018: Double Sphere Camera Model, The
* 2018: Fight Ill-Posedness with Ill-Posedness: Single-shot Variational Depth Super-Resolution from Shading
* 2018: Fusion of Head and Full-Body Detectors for Multi-object Tracking
* 2018: Joint Representation of Primitive and Non-primitive Objects for 3D Vision
* 2018: LED-Based Photometric Stereo: Modeling, Calibration and Numerical Solution
* 2018: MRF Optimization with Separable Convex Prior on Partially Ordered Labels
* 2018: Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis
* 2018: Variational Reflectance Estimation from Multi-view Images
* 2018: What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
* 2019: Controlling Neural Networks via Energy Dissipation
* 2019: Lifting Vectorial Variational Problems: A Natural Formulation Based on Geometric Measure Theory and Discrete Exterior Calculus
* 2019: Photometric Segmentation: Simultaneous Photometric Stereo and Masking
* 2019: Region-Based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking, A
* 2019: Variational Uncalibrated Photometric Stereo Under General Lighting
* 2019: Video Object Segmentation without Temporal Information
* 2020: 3D Deep Learning for Biological Function Prediction from Physical Fields
* 2020: 4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving
* 2020: Correspondence-Free Material Reconstruction using Sparse Surface Constraints
* 2020: D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
* 2020: DH3D: Deep Hierarchical 3d Descriptors for Robust Large-scale 6DOF Relocalization
* 2020: Distributed Photometric Bundle Adjustment
* 2020: Efficient Derivative Computation for Cumulative B-Splines on Lie Groups
* 2020: Hamiltonian Dynamics for Real-world Shape Interpolation
* 2020: Homogeneous Linear Inequality Constraints for Neural Network Activations
* 2020: Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach
* 2020: Learning Monocular 3D Vehicle Detection Without 3D Bounding Box Labels
* 2020: LM-Reloc: Levenberg-Marquardt Based Direct Visual Relocalization
* 2020: Photometric Depth Super-Resolution
* 2020: Simulated Annealing for 3D Shape Correspondence
* 2020: Smooth Shells: Multi-Scale Shape Registration With Functional Maps
* 2020: Trajectory prediction for intelligent vehicles using spatial-attention mechanism
* 2020: Unsupervised Dense Shape Correspondence using Heat Kernels
* 2021: Bregman Proximal Gradient Algorithms for Deep Matrix Factorization
* 2021: i3DMM: Deep Implicit 3D Morphable Model of Human Heads
* 2021: Isometric Multi-Shape Matching
* 2021: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera
* 2021: MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking
* 2021: NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
* 2021: Post-hoc Uncertainty Calibration for Domain Drift Scenarios
* 2021: Recovering Real-World Reflectance Properties and Shading From HDR Imagery
* 2021: Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis
* 2021: SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition
* 2021: Square Root Bundle Adjustment for Large-Scale Reconstruction
* 2021: Square Root Marginalization for Sliding-Window Bundle Adjustment
* 2022: DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
* 2022: Efficient and Flexible Sublabel-Accurate Energy Minimization
* 2022: Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction
* 2022: Intrinsic Neural Fields: Learning Functions on Manifolds
* 2022: Learn to Predict Sets Using Feed-Forward Neural Networks
* 2022: Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
* 2022: Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration
* 2022: Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions, The
* 2022: Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching, A
* 2022: Unified Framework for Implicit Sinkhorn Differentiation, A
* 2022: Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation
* 2023: Behind the Scenes: Density Fields for Single View Reconstruction
* 2023: CASSPR: Cross Attention Single Scan Place Recognition
* 2023: Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces, A
* 2023: DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates
* 2023: G-MSM: Unsupervised Multi-Shape Matching with Graph-Based Affinity Priors
* 2023: High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF
* 2023: Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
* 2023: Neural Implicit Representations for Physical Parameter Inference from a Single Video
* 2023: Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks
* 2023: Semidefinite Relaxations for Robust Multiview Triangulation
* 2023: SIGMA: Scale-Invariant Global Sparse Shape Matching
* 2023: To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation
* 2024: Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining
* 2024: FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions
* 2024: Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
* 2024: SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering
Includes: Cremers, D. Cremers, D.[Daniel]
307 for Cremers, D.
Cremers, S.
* 2016: Magnetic Particle Imaging: A Resovist Based Marking Technology for Guide Wires and Catheters for Vascular Interventions
Cremersl, D.[Daniel]
* 2023: Power Bundle Adjustment for Large-Scale 3D Reconstruction
Cremilleux, B.[Bruno]
* 2012: Finding Groups of Duplicate Images In Very Large Dataset
* 2014: Histograms of Pattern Sets for Image Classification and Object Recognition
* 2014: Image re-ranking system based on closed frequent patterns
* 2017: Unsupervised deep hashing with stacked convolutional autoencoders
Includes: Cremilleux, B.[Bruno] Crémilleux, B.[Bruno] Crémilleux, B.
Cremon, E.H.[Edipo Henrique]
* 2014: Classification of Vegetation over a Residual Megafan Landform in the Amazonian Lowland Based on Optical and SAR Imagery
Includes: Cremon, E.H.[Edipo Henrique] Cremon, É.H.[Édipo Henrique]
Cremonese, E.[Edoardo]
* 2018: Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems
* 2019: Climatic Drivers of Greening Trends in the Alps
* 2019: Using Near-Infrared-Enabled Digital Repeat Photography to Track Structural and Physiological Phenology in Mediterranean Tree-Grass Ecosystems
* 2021: Using UAV Imagery to Detect and Map Woody Species Encroachment in a Subalpine Grassland: Advantages and Limits
Cremonese, G.
* 2012: Evaluation Of Area-based Image Matching Applied To DTM Generation With Hirise Images
* 2016: Estimate Of Dtm Degradation Due To Image Compression For The Stereo Camera Of The Bepicolombo Mission
* 2016: moon Mapping Project To Promote Cooperation Between Students Of Italy And China, The
* 2019: Performance Evaluation of 3DPD, The Photogrammetric Pipeline for The Cassis Stereo Images
* 2020: Geometrical Calibration for the Panrover: A Stereo Omnidirectional System for Planetary Rover
* 2020: Validation of the Stereo Observation Strategy of Simbio-sys Using A Virtual Simulator
* 2021: Rapid Single Image-Based DTM Estimation from ExoMars TGO CaSSIS Images Using Generative Adversarial U-Nets
* 2021: Single Image Super-Resolution Restoration of TGO CaSSIS Colour Images: Demonstration with Perseverance Rover Landing Site and Mars Science Targets
* 2021: Ultra-High-Resolution 1 m/pixel CaSSIS DTM Using Super-Resolution Restoration and Shape-from-Shading: Demonstration over Oxia Planum on Mars
* 2022: Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars, An
* 2022: Hyperspectral Data Compression Using Fully Convolutional Autoencoder
* 2022: Subpixel-Scale Topography Retrieval of Mars Using Single-Image DTM Estimation and Super-Resolution Restoration
Includes: Cremonese, G. Cremonese, G.[Gabriele]
12 for Cremonese, G.
Cremonesi, P.[Paolo]
* 2018: Using visual features based on MPEG-7 and deep learning for movie recommendation
* 2020: Recommender Systems Leveraging Multimedia Content
Cremonesi, S.
* 2014: multi-range approach for Cultural Heritage survey: A case study in Mantua Unesco site, A
* 2016: Survey Of Cultural Heritage After An Earthquake: The Case Of Emilia–lombardia In 2012, The
* 2017: Survey And Modelling for the Bim of Basilica of San Marco in Venice
Cremonini, R.
* 2019: Methods to Retrieve the Cloud-Top Height in the Frame of the JEM-EUSO Mission
* 2021: Validation of GPM Rainfall and Drop Size Distribution Products through Disdrometers in Italy
Includes: Cremonini, R. Cremonini, R.[Roberto]
Cremons, D.R.[Daniel R.]
* 2021: Small PN-Code Lidar for Asteroid and Comet Missions: Receiver Processing and Performance Simulations