Verna, D.[Didier]
* 2022: Estimation of the noise level function for color images using mathematical morphology and non-parametric statistics
* 2023: Structural Analysis of the Additive Noise Impact on the alpha-Tree
Vernadat, F.
* 1984: Efficient regular grammatical inference for pattern recognition
Vernay, A.[Aurelia]
* 2021: How to define a rejection class based on model learning?
* 2023: Interpretable Framework to Characterize Compound Treatments on Filamentous Fungi using Cell Painting and Deep Metric Learning, An
Includes: Vernay, A.[Aurelia] Vernay, A.[Aurélia]
Vernaza, P.
* 2017: Deep Network Flow for Multi-object Tracking
* 2017: DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
* 2017: Learning Random-Walk Label Propagation for Weakly-Supervised Semantic Segmentation
* 2018: Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences
* 2018: r2p2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting
Includes: Vernaza, P. Vernaza, P.[Paul]
Vernazza, G.
* 1991: Shape Classification by Using Associative Memories
* 1991: System for the Interpretation of 3-D Moving Scenes from 2-D Image Sequences, A
* 1993: Image classification by extended certainty factors
* 1993: Proc. International Conference Image Processing: Theory and Applications
* 1994: Grouping of Rectilinear Segments by the Labeled Hough Transform
* 1994: robust non-iterative method for image labelling using context, A
* 1994: Supervised learning of descriptions for image recognition purposes
* 1995: Image Recognition by Integration of Connectionist and Symbolic Approaches
* 1995: Multilevel Fusion Approach to Object Identification in Outdoor Road Scenes, A
* 1996: Hybrid System For 2-Dimensional Image Recognition, A
* 1997: COMPARES Project: Connectionist methods for preprocessing and analysis of remote sensing data, The
* 1997: Discontinuity adaptive MRF model for synthetic aperture radar image analysis
* 1998: Advanced Video-Based Surveillance Systems
* 2000: Automatic Generation of the Statistical Model of a Non-rigid Object in a Multiple-camera Environment
* 2001: Artificial Neural Networks for Image Analysis and Computer Vision
* 2001: Image Stabilization Algorithms for Video-surveillance Applications
* 2001: method for error rejection in multiple classifier systems, A
* 2001: neural network-based image processing system for detection of vandal acts in unmanned railway environments, A
* 2001: Performance Evaluation Criterion for Characterizing Video-Surveillance Systems
* 2002: Analysis of error-reject trade-off in linearly combined classifiers
* 2002: Low-complexity motion estimation for VLBR video coders
* 2003: Automatic road extraction from aerial images by probabilistic contour tracking
* 2004: connectivity solution for extraction of thin objects, A
* 2004: Detection of land-cover transitions by combining multidate classifiers
* 2004: multicamera fusion framework for multiple occluding objects tracking in intelligent monitoring and sport viewing applications, A
Includes: Vernazza, G. Vernazza, G.[Gianni]
25 for Vernazza, G.
Vernazza, G.L.
* 1988: Analysis and Classification of SAR Images by a Knowledge-Based Approach
* 1988: Extension of IBIS for 3D Organ Recognition in NMR Multislices
* 1992: Model Generation and Model Matching of Real Images by a Fuzzy Approach
* 1996: Nonlinear Image Labeling for Multivalued Segmentation
Vernazza, T.
* 1985: Systolic Convolver for Parallel, Multiresolution Edge Detection, A
Verner, U.
* 2017: Real-Time Category-Based and General Obstacle Detection for Autonomous Driving
Vernetto, S.
* 2023: CAESAR Project for the ASI Space Weather Infrastructure, The
Verney, B.
* 2013: Infrared system for 3D scanning of metallic surfaces
Verney, R.[Romaric]
* 2016: Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume
* 2016: Potential of UAVs for Monitoring Mudflat Morphodynamics (Application to the Seine Estuary, France)
* 2020: Glider-Based Active Acoustic Monitoring of Currents and Turbidity in the Coastal Zone
* 2022: Ocean Color Remote Sensing of Suspended Sediments along a Continuum from Rivers to River Plumes: Concentration, Transport, Fluxes and Dynamics
Vernhettes, S.[Samantha]
* 2008: Morphological source separation for particle tracking in complex biological environments
Vernica, I.[Ionut]
* 2021: Reliability of Power Electronic Systems for EV/HEV Applications
Vernickel, P.
* 2009: Determination of Electric Conductivity and Local SAR Via B1 Mapping
Vernier, F.[Flavien]
* 2010: Monitoring temperate glacier with high resolution automated digital cameras: Application to the Argentière glacier
* 2011: Fast correlation technique for glacier flow monitoring by digital camera and space-borne SAR images
* 2012: Glacier flow monitoring by digital camera and space-borne SAR images
* 2015: 3D displacement retrieval on glacial areas by airborne multi-view photogrammetry
* 2015: swap randomization approach for mining motion field time series over the Argentiere glacier, A
* 2019: Time-lapse optical flow regularization for geophysical complex phenomena monitoring
Includes: Vernier, F.[Flavien] Vernier, F.
Vernier, M.[Marco]
* 2015: Selection of Temporal Features for Event Detection in Smart Security
Vernier, P.
* 2013: Survey Methods for Earthquake Damages in the Camera Degli Sposi of Mantegna (Mantova)
* 2015: TOOTEKO: A Case Study of Augmented Reality for an Accessible Cultural Heritage. Digitization, 3D Printing and Sensors for an Audio-Tactile Experience
* 2015: Underwater Photogrammetry and 3D Reconstruction of Marble Cargos Shipwreck
* 2016: Digital Survey Techniques For The Documentation Of Wooden Shipwrecks
* 2017: Survey Methods for Seismic Vulnerability Assessment of Historical Masonry Buildings
Vernieuwe, H.
* 2011: Possibilistic Soil Roughness Identification for Uncertainty Reduction on SAR-Retrieved Soil Moisture
* 2015: Copula-Based Downscaling of Coarse-Scale Soil Moisture Observations With Implicit Bias Correction
Vernimmen, R.[Ronald]
* 2019: Creating a Lowland and Peatland Landscape Digital Terrain Model (DTM) from Interpolated Partial Coverage LiDAR Data for Central Kalimantan and East Sumatra, Indonesia
* 2020: New ICESat-2 Satellite LiDAR Data Allow First Global Lowland DTM Suitable for Accurate Coastal Flood Risk Assessment
Vernimmen, R.R.E.[Ronald R. E.]
* 2016: Tropical Peatland Burn Depth and Combustion Heterogeneity Assessed Using UAV Photogrammetry and Airborne LiDAR
Vernizzi, C.
* 2009: Methodologies capture three-dimensional high-definition of sixteenth wooden frames. The case of works by Correggio
* 2016: Integrated Survey For Architectural Restoration: A Methodological Comparison Of Two Case Studies
Vernon, C.A.[Cory A.]
* 2020: Automated 3D Reconstruction Using Optimized View-Planning Algorithms for Iterative Development of Structure-from-Motion Models
* 2020: Survey of 8 UAV Set-Covering Algorithms for Terrain Photogrammetry
Vernon, D.[David]
* 1987: Two-Dimensional Object Recognition Using Partial Contours
* 1990: Using Camera Motion to Estimate Range for Robotic Parts Manipulation
* 1991: Machine Vision: Automated Visual Inspection and Robot Vision
* 1992: 3-D object recognition using passively sensed range data
* 1992: Parallel Computer Vision: The VIS a VIS System
* 1995: 3-D Object Recognition Through Implicit Model Matching
* 1996: Segmentation in Dynamic Image Sequences by Isolation of Coherent Wave Profiles
* 1997: VIRSBS project: Visual intelligent recognition for secure banking services, The
* 1998: Decoupling Fourier Components of Dynamic Image Sequences: A Theory of Signal Separation, Image Segmentation, and Optical Flow Estimation
* 1999: Computation of instantaneous optical flow using the phase of Fourier components
* 2001: Fourier Vision: Segmentation and Velocity Measurement Using the Fourier Transform
* 2003: Space of Cognitive Vision, The
* 2007: Pose estimation for objects with planar surfaces using eigenimage and range data analysis
* 2008: Cognitive vision: The case for embodied perception
* 2008: Image and vision computing special issue on cognitive vision
Includes: Vernon, D.[David] Vernon, D.
15 for Vernon, D.
Vernon, F.[Frank]
* 2022: FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
Vernon, J.[Jordan]
* 2023: Spatial Application of Southern U.S. Pine Water Yield for Prioritizing Forest Management Activities
Vernon, M.[Michael]
* 2023: Self-Supervised Leaf Segmentation under Complex Lighting Conditions
Vernooij, M.W.[Meike W.]
* 2012: Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach
* 2015: Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols
* 2019: Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning
* 2020: Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions
Includes: Vernooij, M.W.[Meike W.] Vernooij, M.W.