Wiesbeck, W.
* 2007: Detection of Antipersonnel Mines by Using the Factorization Method on Multistatic Ground-Penetrating Radar Measurements
* 2007: Foreword to the Special Issue on Synthetic Aperture Radar (SAR) Technologies and Techniques
* 2015: Spaceborne MIMO Synthetic Aperture Radar for Multimodal Operation
* 2019: Lane Detection With a High-Resolution Automotive Radar by Introducing a New Type of Road Marking
* 2021: Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Wieschollek, P.
* 2016: Efficient Large-Scale Approximate Nearest Neighbor Search on the GPU
* 2016: End-to-End Learning for Image Burst Deblurring
* 2017: Learning Blind Motion Deblurring
* 2018: Flex-Convolution
* 2018: Separating Reflection and Transmission Images in the Wild
* 2018: Will People Like Your Image? Learning the Aesthetic Space
Includes: Wieschollek, P. Wieschollek, P.[Patrick]
Wiese, A.[Ashley]
* 2023: Data-Driven Spatio-Temporal Speed Prediction Framework for Energy Management of Connected Vehicles, A
Wiese, D.N.[David N.]
* 2022: Filling Temporal Gaps within and between GRACE and GRACE-FO Terrestrial Water Storage Records: An Innovative Approach
* 2022: Using a Multiobjective Genetic Algorithm to Design Satellite Constellations for Recovering Earth System Mass Change
Wiesel, A.
* 2012: Synthetic Aperture Radar Autofocus Based on a Bilinear Model
* 2013: Synthetic Aperture Radar Autofocus via Semidefinite Relaxation
* 2016: Fitting Generalized Multivariate Huber Loss Functions
* 2019: Unmixing K-Gaussians With Application to Hyperspectral Imaging
* 2021: Convex Nonparanormal Regression
* 2023: Probabilistic Simplex Component Analysis by Importance Sampling
Includes: Wiesel, A. Wiesel, A.[Ami]
Wiesel, F.[Fabian]
* 2009: Multi-Exposure Document Fusion Based on Edge-Intensities
Wiesel, T.
* 1962: Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
* 1968: Receptive fields and functional architecture of monkey striate cortex
* 1978: Functional architecture of macaque monkey visual cortex
Wiesemann, T.[Thomas]
* 2016: Fog Augmentation of Road Images for Performance Analysis of Traffic Sign Detection Algorithms
Wiesent, K.
* 1998: Interventional 3D-Angiography: Calibration, Reconstruction and Visualization System
* 2000: Enhanced 3-D-reconstruction algorithm for C-arm systems suitable for interventional procedures
* 2003: Cone-beam reprojection using projection-matrices
Wieser, A.
* 2019: Data Capture Framework for Improving The Quality of Subsurface Utility Information, A
* 2019: Instrumental Basis for Multispectral Lidar With Spectrally-resolved Distance Measurements, An
* 2019: Perfect Match: 3D Point Cloud Matching With Smoothed Densities, The
* 2019: Point Cloud Dataset and FEM for a Complex Geometry: The San Luzi Bell Tower Case Study
* 2019: Towards an Underground Utilities 3D Data Model for Land Administration
* 2021: Addressing the Elephant In the Underground: An Argument for The Integration of Heterogeneous Data Sources for Reconciliation Of Subsurface Utility Data
* 2021: MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and Limitations
* 2021: Modeling Approach for Predicting the Resolution Capability in Terrestrial Laser Scanning, A
* 2021: PREDATOR: Registration of 3D Point Clouds with Low Overlap
* 2021: Weakly Supervised Learning of Rigid 3D Scene Flow
* 2022: Dynamic 3D Scene Analysis by Point Cloud Accumulation
* 2023: DeFlow: Self-supervised 3D Motion Estimation of Debris Flow
* 2023: Phase ambiguity resolution and mixed pixel detection in EDM with multiple modulation wavelengths
Includes: Wieser, A. Wieser, A.[Andreas]
13 for Wieser, A.
Wieser, E.[Ewald]
* 2014: Graph-Based Shape Similarity of Petroglyphs
Wieser, M.[Martin]
* 2015: Topo-Bathymetric LiDAR for Monitoring River Morphodynamics and Instream Habitats: A Case Study at the Pielach River
* 2016: Automated Archiving of Archaeological Aerial Images
* 2016: Evaluation Of A Novel UAV-borne Topo-bathymetric Laser Profiler
* 2016: User experience in immersive TV: A research agenda
* 2017: Case Study of UAS Borne Laser Scanning for Measurement of Tree Stem Diameter, A
* 2019: Deep Archetypal Analysis
* 2019: Greedy Structure Learning of Hierarchical Compositional Models
* 2019: Relative Radiometric Calibration of Airborne LiDAR Data for Archaeological Applications
* 2019: Terrestrial Structure from Motion Photogrammetry for Deriving Forest Inventory Data
* 2021: Learning Extremal Representations with Deep Archetypal Analysis
Includes: Wieser, M.[Martin] Wieser, M. Wieser, M.[Mario]
10 for Wieser, M.
Wieser, V.
* 2012: Image processing for three-dimensional scans generated by time-of-flight range cameras
Wieser, W.
* 2020: Simultaneous Morphological and Flow Imaging Enabled by Megahertz Intravascular Doppler Optical Coherence Tomography
Wiesinger, F.
* 2015: Tissue Electrical Property Mapping From Zero Echo-Time Magnetic Resonance Imaging
* 2019: Atmospheric Transmittance Model Validation for CSP Tower Plants
Includes: Wiesinger, F. Wiesinger, F.[Florian]
Wieslander, H.
* 2017: Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy
Wiesmann, A.
* 2003: JERS SAR interferometry for land subsidence monitoring
* 2004: Advanced System for the Automatic Classification of Multitemporal SAR Images, An
* 2017: Circum-Arctic Changes in the Flow of Glaciers and Ice Caps from Satellite SAR Data between the 1990s and 2017
* 2018: Retrieval of Effective Correlation Length and Snow Water Equivalent from Radar and Passive Microwave Measurements
Includes: Wiesmann, A. Wiesmann, A.[Andreas]
Wiesmann, F.
* 1999: Contrast enhancement and artifact reduction in magnetization-prepared MR angiography
Wiesmann, G.[Georg]
* 2011: Event-driven feature analysis in a 4D spatiotemporal representation for ambient assisted living
* 2012: Event-driven embodied system for feature extraction and object recognition in robotic applications
Wiesmann, L.[Louis]
* 2023: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
Wiesmeier, M.[Martin]
* 2021: Estimation of Soil Organic Carbon Contents in Croplands of Bavaria from SCMaP Soil Reflectance Composites
* 2022: Scale-Specific Prediction of Topsoil Organic Carbon Contents Using Terrain Attributes and SCMaP Soil Reflectance Composites
* 2022: Soil Reflectance Composites: Improved Thresholding and Performance Evaluation
* 2023: Optimized bare soil compositing for soil organic carbon prediction of topsoil croplands in Bavaria using Landsat
Wiesmeyr, C.[Christoph]
* 2016: Train Detection and Tracking in Optical Time Domain Reflectometry (OTDR) Signals
* 2020: Automatic Annotation of Hyperspectral Images and Spectral Signal Classification of People and Vehicles in Areas of Dense Vegetation with Deep Learning
Wiesner Hanks, T.[Tyr]
* 2019: Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning
Includes: Wiesner Hanks, T.[Tyr] Wiesner-Hanks, T.[Tyr]
Wiesner, D.[David]
* 2019: On Generative Modeling of Cell Shape Using 3D GANs
* 2019: Toward Robust Fully 3D Filopodium Segmentation and Tracking in Time-Lapse Fluorescence Microscopy
* 2023: Segmentation and Tracking of Mammary Epithelial Organoids in Brightfield Microscopy
Includes: Wiesner, D.[David] Wiesner, D.
Wiesner, H.M.
* 2020: Tunable Ultrahigh Dielectric Constant (tuHDC) Ceramic Technique to Largely Improve RF Coil Efficiency and MR Imaging Performance
Wiesner, J.
* 2020: Optimized Convolutional Neural Networks for Video Intra Prediction
Wiesner, P.
* 2019: Colorful Trees: Visualizing Random Forests for Analysis and Interpretation
Wiest, J.
* 2009: Current work in the ENPEDA project
* 2013: Synchronized Submanifold Embedding for Robust and Real-Time Capable Head Pose Detection Based on Range Images
Wiest, L.[Lorenz]
* 2001: SENSOR: A Tool for the Simulation of Hyperspectral Remote Sensing Systems
Wiest, R.
* 2015: Multimodal Brain Tumor Image Segmentation Benchmark (BRATS), The
* 2019: Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Wiestler, B.
* 2019: Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference
* 2020: Reinforced Redetection of Landmark in Pre- and Post-operative Brain Scan Using Anatomical Guidance for Image Alignment
* 2022: Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models
* 2022: ROAM: Random layer mixup for semi-supervised learning in medical images
* 2023: Why is the Winner the Best?
Includes: Wiestler, B. Wiestler, B.[Benedikt]
Wiestler, T.[Tobias]
* 2021: Domain Adaptation-Based Deep Learning for Automated Tumor Cell (TC) Scoring and Survival Analysis on PD-L1 Stained Tissue Images