Index for chap

Chapagain, S.K.[Saroj Kumar] * 2020: Google Earth Engine for the Detection of Soiling on Photovoltaic Solar Panels in Arid Environments
* 2020: Identifying Land Use and Land Cover (LULC) Change From 2000 to 2025 Driven By Tourism Growth: A Study Case In Bali
Includes: Chapagain, S.K.[Saroj Kumar] Chapagain, S.K.

Chapala, L. * 2015: Inpainting restoration for inland waters Mexico ecosystems

Chapaneri, S.[Santosh] * 2017: Structured Prediction of Music Mood with Twin Gaussian Processes

Chapaneri, S.V.[Santosh V.] * 2009: Content-Adaptive Macroblock Partitioning scheme for error concealment of H.264/AVC coded video
* 2009: Low complexity error concealment scheme for intra-frames in H.264/AVC

Chapaprieta, V. * 2001: ICAR: Identity Card Automatic Reader

Chaparro, B.S.[Barbara S.] * 2022: Development and Validation of an Augmented and Mixed Reality Usability Heuristic Checklist, The
* 2022: Typing in Mid Air: Assessing One- and Two-Handed Text Input Methods of the Microsoft HoloLens 2

Chaparro, L.F. * 1992: Iterative Composite Filtering for Image Restoration
* 1997: Adaptive Morphological Representation of Signals: Polynomial and Wavelet Methods
* 2007: Low Bit Rate Video Coding Using DCT-Based Fast Decimation/Interpolation and Embedded Zerotree Coding

Chapdelaine Couture, V. * 2004: Principal Components Analysis of Optical Snow
* 2006: Motion Parallax without Motion Compensation in 3D Cluttered Scenes
* 2007: Can Lucas-Kanade be used to estimate motion parallax in 3D cluttered scenes?
Includes: Chapdelaine Couture, V. Chapdelaine-Couture, V.

Chapdelaine, C. * 2010: computer-vision-assisted system for Video Description Scripting, A
* 2012: Infrared-Based Facial Points Tracking and Action Units Detection in Context of Car Driving Simulator
* 2016: Solving Rendering Issues in Realistic 3D Immersion for Visual Rehabilitation
Includes: Chapdelaine, C. Chapdelaine, C.[Claude]

Chapeau Blondeau, F.[Francois] * 2008: Pair Correlation Integral for Fractal Characterization of Three-Dimensional Histograms from Color Images
* 2012: Local-feature-based similarity measure for stochastic resonance in visual perception of spatially structured images
* 2014: 3D Multimodal Simulation of Image Acquisition by X-Ray and MRI for Validation of Seedling Measurements with Segmentation Algorithms
* 2014: Characterization of Maximum Likelihood Solutions to Image Reconstruction in Photon Emission Tomography
* 2016: On the value of the Kullback-Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands
* 2016: Shape descriptors to characterize the shoot of entire plant from multiple side views of a motorized depth sensor
Includes: Chapeau Blondeau, F.[Francois] Chapeau-Blondeau, F.[François]

Chapel, C.E. * 1971: Fingerprinting: A Manual of Identification

Chapel, L.[Laetitia] * 2015: Subpath Kernel for Learning Hierarchical Image Representations, A
* 2017: Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification
* 2024: Hyperbolic prototypical network for few shot remote sensing scene classification

Chapelier, M.[Morgane] * 2023: DirecTES: A Direct Method for Land and Sea Surface Temperature and Emissivity Separation for Thermal Infrared Sensors: Application to TRISHNA and ECOSTRESS

Chapelle, D.[Dominique] * 2007: Effective Estimation in Cardiac Modelling
* 2007: Simulation of 3D Ultrasound with a Realistic Electro-mechanical Model of the Heart
* 2011: Constitutive Parameter Estimation Methodology Using Tagged-MRI Data
* 2011: Trials on Tissue Contractility Estimation from Cardiac Cine MRI Using a Biomechanical Heart Model
* 2015: Patient-Specific Biomechanical Modeling of Cardiac Amyloidosis: A Case Study
* 2015: Sequential State Estimation for Electrophysiology Models with Front Level-Set Data Using Topological Gradient Derivations
* 2017: Assessment of Atrioventricular Valve Regurgitation Using Biomechanical Cardiac Modeling
* 2019: Cardiac Displacement Tracking with Data Assimilation Combining a Biomechanical Model and an Automatic Contour Detection
* 2019: Minimally-Invasive Estimation of Patient-Specific End-Systolic Elastance Using a Biomechanical Heart Model
* 2021: Model-Assisted Time-Synchronization of Cardiac MR Image and Catheter Pressure Data
Includes: Chapelle, D.[Dominique] Chapelle, D.
10 for Chapelle, D.

Chapelle, O. * 1999: Support Vector Machines for Histogram-Based Image Classification

Chapelon, J.Y. * 2004: Improving the Use of Vibro-Acoustography for Brachytherapy Metal Seed Imaging: A Feasibility Study
* 2024: Passive Elastography for Clinical HIFU Lesion Detection
Includes: Chapelon, J.Y. Chapelon, J.Y.[Jean-Yves]

Chaperon, T. * 2001: Extracting Cylinders in Full 3-D Data Using a Random Sampling Method and the Gaussian Image
* 2009: probabilistic approach to camera pose and calibration from a small set of point and line correspondences, A
* 2011: Reliable camera pose and calibration from a small set of point and line correspondences: A probabilistic approach
Includes: Chaperon, T. Chaperon, T.[Thomas]

Chapet, O.[Olivier] * 2001: Attempts to Bronchial Tumor Motion Tracking in Portal Images during Conformal Radiotherapy Treatment

Chapi, K.[Kamran] * 2018: Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
* 2018: Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides, A
* 2018: Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides, A
* 2019: Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model
* 2019: Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm

Chapin, E. * 2018: Geometric Power Fall-Off in Radar Sounding
* 2020: Opposite-Side Ambiguities in Radar Sounding Interferometry

Chapiro, A.[Alexandre] * 2009: Detection of high frequency regions in multiresolution

Chapiro, J. * 2019: Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation
* 2020: Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification

Chaplin Kramer, R.[Rebecca] * 2023: Influences of Satellite Sensor and Scale on Derivation of Ecosystem Functional Types and Diversity
Includes: Chaplin Kramer, R.[Rebecca] Chaplin-Kramer, R.[Rebecca]

Chaplin, B.A.[Bruce A.] * 2001: Automated processing of mobile mapping image sequences

Chaplot, D.S. * 2018: Global Pose Estimation with an Attention-Based Recurrent Network
* 2020: Neural Topological SLAM for Visual Navigation
* 2020: Semantic Curiosity for Active Visual Learning
* 2022: PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning
* 2023: Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second
* 2023: Habitat-Matterport 3D Semantics Dataset
* 2023: Navigating to Objects Specified by Images
Includes: Chaplot, D.S. Chaplot, D.S.[D. Singh] Chaplot, D.S.[Devendra Singh]
7 for Chaplot, D.S.

Chaplot, V.[Vincent] * 2015: Evaluation of Six High-Resolution Satellite and Ground-Based Precipitation Products over Malaysia

Chapman, A.[Adriane] * 2022: Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition

Chapman, A.E. * 1994: Analysis and Synthesis of Human Movement

Chapman, B.[Bruce] * 2015: Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska
* 2015: Mapping Regional Inundation with Spaceborne L-Band SAR
* 2020: Assessment of Forest Biomass Estimation from Dry and Wet SAR Acquisitions Collected during the 2019 UAVSAR AM-PM Campaign in Southeastern United States
* 2023: Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground Biomass Products from Airborne Lidar Data

Chapman, B.D.[Bruce D.] * 2015: Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data
* 2015: UAVSAR Polarimetric Calibration
Includes: Chapman, B.D.[Bruce D.] Chapman, B.D.

Chapman, C.R. * 2005: Learning to Detect Small Impact Craters

Chapman, D. * 1990: Vision, Instruction and Action
* 1991: Vision, Instruction and Action
* 1998: Panoramic imaging and virtual reality: Filling the gaps between the lines
* 2000: Panoramic Image Archives for As-Built Modeling of Complex Industrial Assets
* 2022: Using Moffat Profiles to Register Astronomical Images
Includes: Chapman, D. Chapman, D.[David]

Chapman, D.N. * 2018: Assessing the Condition of Buried Pipe Using Ground Penetrating Radar (GPR)

Chapman, G.E. * 2001: Radiometric Corrections for Multispectral Airborne Video Imagery
* 2001: simplified method for retrieval of ground level reflectance of targets from airborne video imagery, A

Chapman, G.H. * 1988: Monolithic Hough Transform Processor Based on Restructurable VLSI, A

Chapman, H.[Henry] * 2011: From Sites to Landscapes: How Computing Technology Is Shaping Archaeological Practice
* 2015: Phase Retrieval with Application to Optical Imaging: A contemporary overview
* 2016: Identifying well-oriented diffraction patterns in XFEL datasets
Includes: Chapman, H.[Henry] Chapman, H.

Chapman, H.N. * 2017: Orientation and analysis of XFEL serial diffraction patterns from fibrous molecular assemblies
* 2018: Analysis of Fibrous Assembly Orientations from XFEL Diffraction Data
* 2019: Ab initio phasing using diffraction data from different crystal forms
* 2024: DriftRec: Adapting Diffusion Models to Blind JPEG Restoration
Includes: Chapman, H.N. Chapman, H.N.[Henry N.]

Chapman, J.W.[John W.] * 2019: Spectral and Radiometric Calibration of the Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG)

Chapman, L.[Lee] * 2016: Quantifying the Daytime and Night-Time Urban Heat Island in Birmingham, UK: A Comparison of Satellite Derived Land Surface Temperature and High Resolution Air Temperature Observations

Chapman, M.[Mike] * 2010: Accuracy Enhancement Of Terrestrial Mobile Lidar Data Using Theory Of Assimilation
* 2010: Enhancement of positioning accuracy of terrestrial LiDAR mobile mapping systems
* 2010: Point processes for unspervised building extraction from airborne LiDAR rangedata
* 2014: Using Mobile Laser Scanning Data for Automated Extraction of Road Markings
* 2015: Automated Road Information Extraction from Mobile Laser Scanning Data
* 2015: Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data
* 2018: Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
* 2020: Semi-Automated Generation of Road Transition Lines Using Mobile Laser Scanning Data
Includes: Chapman, M.[Mike] Chapman, M.[Michael] Chapman, M.
8 for Chapman, M.

Chapman, M.A. * 1998: Automatic Reconstruction of Road Centerlines from Mobile Mapping Image Sequences
* 2001: Automated processing of mobile mapping image sequences
* 2016: Continuous Mapping Of Tunnel Walls In A Gnss-denied Environment
* 2018: Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review
* 2019: Multispectral Airborne Laser Scanning Point-clouds for Land Cover Classification Using Convolutional Neural Networks
* 2021: Capsnets Approach to Pavement Crack Detection Using Mobile Laser Scannning Point Clouds, A
* 2021: Capsule-Based Networks for Road Marking Extraction and Classification from Mobile LiDAR Point Clouds
* 2021: Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments
* 2022: BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery
* 2022: Robust Lane Extraction From MLS Point Clouds Towards HD Maps Especially in Curve Road
Includes: Chapman, M.A. Chapman, M.A.[Michael A.]
10 for Chapman, M.A.

Chapman, N. * 2001: Method of Vessel Tracking for Vessel Diameter Measurement on Retinal Images, A

Chapman, R. * 1989: New Technique to Extract Range Information from Stereo Images, A
* 1998: Multiresolution and Hybrid Bayesian Algorithms for Automatic Detection of Change Points

Chapman, S.[Scott] * 2021: Domain Adaptation for Plant Organ Detection with Style Transfer
* 2021: Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques
* 2021: UAV-Thermal imaging and agglomerative hierarchical clustering techniques to evaluate and rank physiological performance of wheat genotypes on sodic soil
* 2023: Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy

Chapman, S.C.[Scott C.] * 2019: Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding
* 2021: Comparison of Modelling Strategies to Estimate Phenotypic Values from an Unmanned Aerial Vehicle with Spectral and Temporal Vegetation Indexes

Chapman, T. * 2014: Unified Approach to Diffusion Direction Sensitive Slice Registration and 3-D DTI Reconstruction From Moving Fetal Brain Anatomy, A

Chapman, T.B.[Teresa B.] * 2021: Effects of Bark Beetle Outbreaks on Forest Landscape Pattern in the Southern Rocky Mountains, U.S.A.

Chapman, W.C. * 2000: Registration of physical space to laparoscopic image space for use in minimally invasive hepatic surgery
* 2005: Compensating for Intraoperative Soft-Tissue Deformations Using Incomplete Surface Data and Finite Elements

Chapman, W.R. * 2013: Dynamic multistatic synthetic aperture radar (DMSAR) with image reconstruction algorithms and analysis

Chapoulie, A.[Alexandre] * 2011: spherical representation for efficient visual loop closing, A

Chapoulie, E. * 2015: Finger-based manipulation in immersive spaces and the real world

Chappa, N.V.S.R.[Naga V. S. Raviteja] * 2023: SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity Recognition

Chappa, R.T.N.[Ravi Teja Nvs] * 2022: OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation

Chappalli, M.B.[Mahesh B.] * 2004: second-generation wavelet framework for super-resolution with noise filtering, A
* 2004: Superresolution with second generation wavelets
* 2005: Simultaneous Noise Filtering and Super-Resolution With Second-Generation Wavelets
Includes: Chappalli, M.B.[Mahesh B.] Chappalli, M.B.

Chappard, C.[Christine] * 2015: Graph Structuring of Skeleton Object for Its High-Level Exploitation
* 2015: High resolution volume quantification of the knee joint space based on a semi-automatic segmentation of computed tomography images
Includes: Chappard, C.[Christine] Chappard, C.

Chappe, J.[Julien] * 2023: UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress
Includes: Chappe, J.[Julien] Chappé, J.[Julien]

Chappelier, J.C. * 2003: Parsing N-best lists of handwritten sentences
* 2006: Offline Grammar-Based Recognition of Handwritten Sentences

Chappelier, V. * 2004: Image coding with iterated contourlet and wavelet transforms
* 2005: Oriented Wavelet Transform on a Quincunx Pyramid for Image Compression
* 2006: Oriented Wavelet Transform for Image Compression and Denoising

Chappell, A.[Adrian] * 2017: Improving Rainfall Erosivity Estimates Using Merged TRMM and Gauge Data

Chappell, D.T. * 2017: Operationalizing Engagement with Multimedia as User Coherence with Context

Chappell, M.A.[Michael A.] * 2014: New Similarity Metric for Groupwise Registration of Variable Flip Angle Sequences for Improved T 10 Estimation in DCE-MRI, A
* 2016: Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors
* 2018: DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth, A
* 2019: Assessing Reliability of Myocardial Blood Flow After Motion Correction With Dynamic PET Using a Bayesian Framework
* 2020: Toblerone: Surface-Based Partial Volume Estimation
Includes: Chappell, M.A.[Michael A.] Chappell, M.A.

Chappell, S.C.[Steven C.] * 2023: Sky Is Not the Limit: Use of a Spray Drone for the Precise Application of Herbicide and Control of an Invasive Plant in Managed Wetlands, The

Chappell, T.[Timothy] * 2016: Efficient Feature Selection and Nearest Neighbour Search for Hyperspectral Image Classification
* 2020: Object Based Remote Sensing Using Sentinel Data

Chappellet, K.[Kevin] * 2021: Benchmarking Cameras for Open VSLAM Indoors

Chapple, P.B. * 2001: Stochastic model-based processing for detection of small targets in non-gaussian natural imagery

Chappuis, C.[Christel] * 2022: Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering
* 2022: State-Specific and Supraordinal Components of Facial Response to Pain
Includes: Chappuis, C.[Christel] Chappuis, C.[Cyrielle]

Chappuis, S.[Sebastien] * 2021: Semantic segmentation on Swiss3DCities: A benchmark study on aerial photogrammetric 3D pointcloud dataset
Includes: Chappuis, S.[Sebastien] Chappuis, S.[Sébastien]

Chapra, S.C.[Steven C.] * 2014: Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle

Chapran, J. * 2007: EM Based Algorithm for Skew Detection, An
* 2008: Task-related population characteristics in handwriting analysis

Chapron, B. * 2011: Retrieval of Sea Surface Range Velocities From Envisat ASAR Doppler Centroid Measurements
* 2013: Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields
* 2014: Revisiting the Short-Wave Spectrum of the Sea Surface in the Light of the Weighted Curvature Approximation
* 2014: Segmentation of Mesoscale Ocean Surface Dynamics Using Satellite SST and SSH Observations
* 2014: Statistical Analysis of Real Aperture Radar Field Backscattered From Sea Surfaces Under Moderate Winds by Monte Carlo Simulations
* 2014: Updated Geophysical Model for AMSR-E and SSMIS Brightness Temperature Simulations over Oceans, An
* 2015: GO4 Model in Near-Nadir Microwave Scattering From the Sea Surface, The
* 2015: Ocean Wind Doppler Model Based on the Generalized Curvature Ocean Surface Scattering Model, An
* 2017: Combined Co- and Cross-Polarized SAR Measurements Under Extreme Wind Conditions
* 2017: Data-driven assimilation of irregularly-sampled image time series
* 2017: Ka-Band Dual Copolarized Empirical Model for the Sea Surface Radar Cross Section
* 2017: Limitation of SAR Quasi-Linear Inversion Data on Swell Climate: An Example of Global Crossing Swells
* 2017: Onto a Skewness Approach to the Generalized Curvature Ocean Surface Scattering Model
* 2018: Improving Mesoscale Altimetric Data From a Multitracer Convolutional Processing of Standard Satellite-Derived Products
* 2018: Low-Frequency Sea Surface Radar Doppler Echo
* 2018: Modulation of Ka-Band Doppler Radar Signals Backscattered From the Sea Surface
* 2018: Neural Network Based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-Derived Sea Surface Temperature
* 2018: Sea Surface Kinematics From Near-Nadir Radar Measurements
* 2018: Sea Surface Radar Scattering at L-Band Based on Numerical Solution of Maxwell's Equations in 3-D (NMM3D)
* 2018: Spatio-Temporal Interpolation of Cloudy SST Fields Using Conditional Analog Data Assimilation
* 2019: Calibration of the Normalized Radar Cross Section for Sentinel-1 Wave Mode
* 2019: Data-Driven Interpolation of Sea Level Anomalies Using Analog Data Assimilation
* 2019: On C-Band Quad-Polarized Synthetic Aperture Radar Properties of Ocean Surface Currents
* 2019: On Quad-Polarized SAR Measurements of the Ocean Surface
* 2019: Polarization Dependence of Azimuth Cutoff From Quad-Pol SAR Images
* 2019: Sea Surface Ka-Band Doppler Measurements: Analysis and Model Development
* 2020: Advanced Algorithm to Retrieve Total Atmospheric Water Vapor Content From the Advanced Microwave Scanning Radiometer Data Over Sea Ice and Sea Water Surfaces in the Arctic, An
* 2020: Intercomparison of Data-Driven and Learning-Based Interpolations of Along-Track Nadir and Wide-Swath SWOT Altimetry Observations
* 2021: Indian Ocean Crossing Swells: New Insights from Fireworks Perspective Using Envisat Advanced Synthetic Aperture Radar
* 2021: Ka-Band Radar Cross-Section of Breaking Wind Waves
* 2021: New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment
* 2022: Assessment of Ocean Swell Height Observations from Sentinel-1A/B Wave Mode against Buoy In Situ and Modeling Hindcasts
* 2022: Ka-Band Doppler Scatterometry: A Strong Wind Case Study
* 2022: Surface Wave Developments under Tropical Cyclone Goni (2020): Multi-Satellite Observations and Parametric Model Comparisons
* 2023: Knowledge Gaps and Impact of Future Satellite Missions to Facilitate Monitoring of Changes in the Arctic Ocean
* 2023: On Doppler Shifts of Breaking Waves
* 2023: On Surface Waves Generated by Extra-Tropical Cyclones: Part I: Multi-Satellite Measurements
* 2023: Spatial Probability Characteristics of Waves Generated by Polar Lows in Nordic and Barents Seas
Includes: Chapron, B. Chapron, B.[Bertrand]
38 for Chapron, B.

Chapron, M. * 1992: New Chromatic Edge Detector Used for Color Image Segmentation, A
* 1992: Precision of Camera Calibration and Stereovision Performed by Standard Cameras and Image Digitizer
* 1997: Chromatic Contour Detector based on Abrupt Change Techniques, A
* 1997: Weed Recognition by Color Image Processing
* 1999: Multiresolution Weed Recognition Method based on Multispectral Image Processing, A
* 2000: Color Contour Detector Based on Dempster-Shafer Theory, A
* 2000: Color Edge Detector Based on Dempster-shafer Theory, A
* 2000: Color Edge Detector Based on Statistical Rupture Tests, A
* 2000: Multiresolution Based Method for Recognizing Weeds in Corn Fields, A
Includes: Chapron, M. Chapron, M.[Michel]
9 for Chapron, M.

Chapsky, L.[Lars] * 2017: Cross-Calibration of Spectral Radiances and Cross-Validation of CO2 Estimates from GOSAT and OCO-2, The
* 2017: Preflight Radiometric Calibration of Orbiting Carbon Observatory 2
* 2017: Preflight Spectral Calibration of the Orbiting Carbon Observatory 2
* 2020: Stability Assessment of OCO-2 Radiometric Calibration Using Aqua MODIS as a Reference
Includes: Chapsky, L.[Lars] Chapsky, L.

Chapuis, R. * 1995: Real-Time Vehicle Trajectory Supervision on the Highway
* 2000: Dynamic Vision Algorithm to Locate a Vehicle on a Nonstructured Road, A
* 2000: Recovering the 3d Shape of a Road by On-board Monocular Vision
* 2001: Fast prototyping of parallel-vision applications using functional skeletons
* 2001: model-driven approach for real-time road recognition, A
* 2002: Accurate road following and reconstruction by computer vision
* 2004: Pedestrian localization and tracking system with Kalman filtering
* 2004: Road sides recognition in non-structured environments by vision
* 2006: Reliable and Robust Lane Detection System Based on the Parallel Use of Three Algorithms for Driving Safety Assistance, A
* 2007: Object Recognition: A Focused Vision Based Approach
* 2008: Progressive Focusing: A Top Down Attentional Vision System
* 2012: Real-time Decentralized Monocular SLAM
* 2015: Real-Time Monocular SLAM With Low Memory Requirements
* 2016: ORB-SLAM map initialization improvement using depth
* 2019: Real-Time Map Refinement Method Using a Multi-Sensor Localization Framework, A
Includes: Chapuis, R. Chapuis, R.[Roland]
15 for Chapuis, R.

Chapurlat, R.D. * 2016: Fuzzy energy based active contours model for HR-PQCT cortical bone segmentation

Chaput, H. * 2020: Building Placements In Urban Modeling Using Conditional Generative Latent Optimization

Index for "c"


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