Index for borl

Borla, O.[Oscar] * 2023: Statistical Seismic Analysis by b-Value and Occurrence Time of the Latest Earthquakes in Italy

Borlaf Mena, I.[Ignacio] * 2020: Investigating the Impact of Digital Elevation Models on Sentinel-1 Backscatter and Coherence Observations
* 2021: Assessing the Utility of Sentinel-1 Coherence Time Series for Temperate and Tropical Forest Mapping
Includes: Borlaf Mena, I.[Ignacio] Borlaf-Mena, I.[Ignacio]

Borland, E. * 2004: 3D performance capture for facial animation
* 2005: Pre-commercial 3D digital TV studio

Borland, H.P.[Hayden P.] * 2022: Watching the Saltmarsh Grow: A High-Resolution Remote Sensing Approach to Quantify the Effects of Wetland Restoration

Borlin, N.[Niclas] * 2002: Comparison of resection-intersection algorithms and projection geometries in radiostereometry
* 2012: Estimation Of Tree Stem Attributes Using Terrestrial Photogrammetry
* 2016: External Verification Of The Bundle Adjustment In Photogrammetric Software Using The Damped Bundle Adjustment Toolbox
* 2018: Bias of cylinder diameter estimation from ground-based laser scanners with different beam widths: A simulation study
* 2019: Implementing Functional Modularity for Processing of General Photogrammetric Data With The Damped Bundle Adjustment Toolbox (DBAT)
* 2020: Efficient Computation of Posterior Covariance In Bundle Adjustment In Dbat for Projects with Large Number of Object Points
Includes: Borlin, N.[Niclas] Börlin, N.[Niclas] (Maybe also Boerlin, N.)Börlin, N. (Maybe also Boerlin, N.)

Borlinhas, F.[Filipa] * 2017: Multi-modal Complete Breast Segmentation

Borlino, F.C.[Francesco Cappio] * 2021: Rethinking Domain Generalization Baselines
* 2022: Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
* 2022: Semantic Novelty Detection via Relational Reasoning
* 2023: Large Class Separation is Not What You Need for Relational Reasoning-Based OOD Detection

Borlongan, N.J.B. * 2016: Rs-based Water Resources Inventory Of The Philippines: Capacity Building Efforts For Nationwide Implementation
* 2020: Near-realtime Flood Detection From Multi-temporal Sentinel Radar Images Using Artificial Intelligence

Index for "b"


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