Ginzburg, A.[Alex]
* 2010: DCT-domain coder for digital video applications
Ginzburg, D.[Dvir]
* 2020: Cyclic Functional Mapping: Self-supervised Correspondence Between Non-isometric Deformable Shapes
* 2021: DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
* 2021: Dual Geometric Graph Network (DG2N) Iterative Network for Deformable Shape Alignment
* 2022: Deep Weighted Consensus Dense Correspondence Confidence Maps for 3d Shape Registration
Ginzburg, I.
* 1994: Averaged and decorrelated neural networks as a time-series predictor
Ginzburg, J.[Jonathan]
* 2022: What's Your Laughter Doing There? A Taxonomy of the Pragmatic Functions of Laughter
Ginzel, T.
* 2005: Simplified Scheme for Hardware-Based Pattern Recognition, A
Ginzler, C.
* 2007: Accuracy of Forest Parameters Derived from Medium Footprint Lidar under Operational Constraints
* 2011: Quantitative Comparison of Segmentation Results from ADS40 Images in Swiss NFI
* 2012: Forest variable estimation using a high-resolution digital surface model
* 2014: Accuracy assessment of airborne photogrammetrically derived high-resolution digital elevation models in a high mountain environment
* 2015: Countrywide Stereo-Image Matching for Updating Digital Surface Models in the Framework of the Swiss National Forest Inventory
* 2015: Mapping Secondary Forest Succession on Abandoned Agricultural Land with LiDAR Point Clouds and Terrestrial Photography
* 2016: Comparison Of Digital Surface Models For Snow Depth Mapping With Uav And Aerial Cameras
* 2016: Mapping Secondary Forest Succession On Abandoned Agricultural Land In The Polish Carpathians
* 2016: Wide-area Mapping Of Forest With National Airborne Laser Scanning And Field Inventory Datasets
* 2017: Wall-to-Wall Tree Type Mapping from Countrywide Airborne Remote Sensing Surveys
* 2018: Impact of the Acquisition Geometry of Very High-Resolution Pléiades Imagery on the Accuracy of Canopy Height Models over Forested Alpine Regions
* 2018: Regional Scale Mapping of Grassland Mowing Frequency with Sentinel-2 Time Series
* 2018: Single-Tree Processing Framework Using Terrestrial Laser Scanning Data for Detecting Forest Regeneration, A
* 2020: Effective Way to Map Land-Use Intensity with a High Spatial Resolution Based on Habitat Type and Environmental Data, An
* 2020: Land Cover Classification in Mangrove Ecosystems Based on VHR Satellite Data and Machine Learning: An Upscaling Approach
* 2022: Assessing Changes in Mountain Treeline Ecotones over 30 Years Using CNNs and Historical Aerial Images
* 2023: Habitat Map of Switzerland: A Remote Sensing, Composite Approach for a High Spatial and Thematic Resolution Product, The
Includes: Ginzler, C. Ginzler, C.[Christian]
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