Fric, V.[Vojtech]
* 2016: Effectiveness of Camouflage Make-Up Patterns Against Face Detection Algorithms
Frick, A.
* 2009: Generation of 3D-TV LDV-content with Time-Of-Flight Camera
* 2010: 3D-TV LDV content generation with a hybrid ToF-multicamera RIG
* 2010: Object-Based Change Detection Analysis for the Monitoring of Habitats in the Framework of the Natura 2000 Directive with Multi-Temporal Satellite Data
* 2011: Improving depth discontinuities for depth-based 3DTV production
* 2011: Monitoring of the Vegetation Composition in Rewetted Peatland with Iterative Decision Tree Classification of Satellite Imagery
* 2011: Time-Consistent Foreground Segmentation of Dynamic Content from Color and Depth Video
* 2011: Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter
* 2011: Utilization of spectral measurements and phenological observations to detect grassland-habitats with a RapidEye intra-annual time-series
* 2012: Towards Detecting Swath Events in TerraSAR-X Time Series to Establish NATURA 2000 Grassland Habitat Swath Management as Monitoring Parameter
* 2020: Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
Includes: Frick, A. Frick, A.[Annett] Frick, A.[Anatol]
10 for Frick, A.
Frick, G.[Glendon]
* 2018: Airborne Remote Sensing of the Upper Ocean Turbulence during CASPER-East
Frick, K.[Klaus]
* 2007: Convex Inverse Scale Spaces
* 2011: Statistical Multiresolution Strategy for Image Reconstruction, A
* 2013: Statistical Multiresolution Estimation for Variational Imaging: With an Application in Poisson-Biophotonics
Frick, T.[Thomas]
* 2022: Active Learning for Imbalanced Civil Infrastructure Data
Fricke Neuderth, K.[Klaus]
* 2015: Croatian Fish Dataset: Fine-grained classification of fish species in their natural habitat
Includes: Fricke Neuderth, K.[Klaus] Fricke-Neuderth, K.[Klaus]
Fricke, A.
* 2016: Excess Propagation Loss Modeling of Semiclosed Obstacles for Intelligent Transportation System
Fricke, H.
* 2018: ADS-BI: Compressed Indexing of ADS-B Data
Fricke, J.
* 2020: Bumblebee Re-Identification Dataset
Fricke, K.[Katharina]
* 2021: Observing Water Surface Temperature from Two Different Airborne Platforms over Temporarily Flooded Wadden Areas at the Elbe Estuary: Methods for Corrections and Analysis
* 2022: Very High-Resolution Imagery and Machine Learning for Detailed Mapping of Riparian Vegetation and Substrate Types
Fricke, N.
* 2013: Identification and analysis of motives for eco-friendly driving within the eco-move project
* 2014: Information modalities and timing of ecological driving support advices
Fricke, T.
* 2016: Refinement Of Stereo Image Analysis Using Photometric Shape Recovery As An Alternative To Bundle Adjustment
* 2017: Fusion of Ultrasonic and Spectral Sensor Data for Improving the Estimation of Biomass in Grasslands with Heterogeneous Sward Structure
Includes: Fricke, T. Fricke, T.[Thomas]
Fricke, U.[Ute]
* 2021: Climate Effects on Vertical Forest Phenology of Fagus sylvatica L., Sensed by Sentinel-2, Time Lapse Camera, and Visual Ground Observations
Frickenstein, A.
* 2019: Resource-Aware Optimization of DNNs for Embedded Applications
* 2021: Adversarial Robust Model Compression using In-Train Pruning
* 2024: Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge
Includes: Frickenstein, A. Frickenstein, A.[Alexander]
Frickenstein, L.[Lukas]
* 2021: Adversarial Robust Model Compression using In-Train Pruning
* 2024: Wino Vidi Vici: Conquering Numerical Instability of 8-bit Winograd Convolution for Accurate Inference Acceleration on Edge
Fricker, A.[Andrew]
* 2020: Transferable and Effective Method for Monitoring Continuous Cover Forestry at the Individual Tree Level Using UAVs, A
Fricker, G.
* 2012: Application of Semi-Automated Filter to Improve Waveform Lidar Sub-Canopy Elevation Model
* 2012: Plant Species Richness is Associated with Canopy Height and Topography in a Neotropical Forest
Fricker, G.A.[Geoffrey A.]
* 2019: Convolutional Neural Network Classifier Identifies Tree Species in Mixed-Conifer Forest from Hyperspectral Imagery, A
Fricker, H.A.
* 2017: ICESAT/GLAS Altimetry Measurements: Received Signal Dynamic Range and Saturation Correction
* 2019: Terrestrial Validation of ICESat Elevation Measurements and Implications for Global Reanalyses, A
Fricker, M.
* 2012: Contrast-Independent Curvilinear Structure Detection in Biomedical Images
Fricl, M.[Matej]
* 2020: Diffuse reflectance spectroscopy in dental caries detection and classification
Fricout, G.[Gabriel]
* 2013: fast learning algorithm for image segmentation with max-pooling convolutional networks, A