Funk, C.[Chris]
* 2015: Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique
* 2016: Kriging and Local Polynomial Methods for Blending Satellite-Derived and Gauge Precipitation Estimates to Support Hydrologic Early Warning Systems
* 2016: Symmetry reCAPTCHA
* 2017: 2017 ICCV Challenge: Detecting Symmetry in the Wild
* 2017: 4D Model-Based Spatiotemporal Alignment of Scripted Taiji Quan Sequences
* 2017: Beyond Planar Symmetry: Modeling Human Perception of Reflection and Rotation Symmetries in the Wild
* 2020: From Image to Stability: Learning Dynamics from Human Pose
* 2020: Identifying Precipitation and Reference Evapotranspiration Trends in West Africa to Support Drought Insurance
* 2022: Cascade Transformers for End-to-End Person Search
* 2023: MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification
* 2023: Open Set Action Recognition via Multi-Label Evidential Learning
* 2023: Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition
* 2023: Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning
* 2024: SSEBop Evapotranspiration Estimates Using Synthetically Derived Landsat Data from the Continuous Change Detection and Classification Algorithm
Includes: Funk, C.[Chris] Funk, C. Funk, C.[Christopher]
14 for Funk, C.
Funk, C.C.
* 2001: Clustering to improve matched filter detection of weak gas plumes in hyperspectral thermal imagery
Funk, E.
* 2012: IPS: A System for Real-time Navigation and 3d Modeling
* 2013: Implicit Surface Modeling from Imprecise Point Clouds
* 2018: Regularized Volumetric Fusion Framework for Large-Scale 3D Reconstruction, A
Includes: Funk, E. Funk, E.[Eugen]
Funk, M.[Michelle]
* 2018: new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies, A
* 2020: Conterminous United States land cover change patterns 2001-2016 from the 2016 National Land Cover Database
Funk, N.[Nathan]
* 2007: Using a Raster Display for Photometric Stereo
* 2019: Adaptive-Resolution Octree-Based Volumetric SLAM
Includes: Funk, N.[Nathan] Funk, N.
Funk, W.[Wolfgang]
* 2008: 3d Face Recognition Algorithm Using Histogram-Based Features, A
Funka Lea, G.[Gareth]
* 1995: Combining Color and Geometry for the Active, Visual Recognition of Shadows
* 1996: Use of Hybrid Models to Recover Cardiac Wall Motion in Tagged MR Images, The
* 1998: 3-D Cardiac Volume Analysis Using Magnetic Resonance Imaging
* 2000: Multi-modality model-based registration in the cardiac domain
* 2001: Segmentation of the Left Ventricle in Cardiac MR Images
* 2006: Comprehensive Cardiovascular Image Analysis Using MR and CT at Siemens Corporate Research
* 2006: Graph Cuts and Efficient N-D Image Segmentation
* 2007: Time-Varying Linear Autoregressive Models for Segmentation
* 2011: Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices
* 2012: Automatic Heart Isolation in 3D CT Images
* 2012: Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries
* 2012: Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries
* 2016: Adaptive particle filtering for coronary artery segmentation from 3D CT angiograms
* 2018: Face Completion with Semantic Knowledge and Collaborative Adversarial Learning
Includes: Funka Lea, G.[Gareth] Funka-Lea, G.[Gareth] Funka-Lea, G.
14 for Funka Lea, G.
Funke Chambour, M.[Manuela]
* 2023: Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports, An
Includes: Funke Chambour, M.[Manuela] Funke-Chambour, M.[Manuela]
Funke, G.[Gregory]
* 2019: Robot Authority in Human-Machine Teams: Effects of Human-Like Appearance on Compliance
Funke, I.[Isabel]
* 2022: Gesture Recognition in Robotic Surgery With Multimodal Attention
Funke, J.[Jan]
* 2009: Framework For Evaluating Visual SLAM, A
* 2012: Efficient automatic 3D-reconstruction of branching neurons from EM data
* 2016: Accurate and Linear Time Pose Estimation from Points and Lines
* 2018: Benchmark for Epithelial Cell Tracking, A
* 2019: Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction
* 2021: How Shift Equivariance Impacts Metric Learning for Instance Segmentation
* 2022: Discriminative Attribution from Paired Images
* 2023: Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images
8 for Funke, J.
Funkhauser, T.
* 2002: Matching 3D Models with Shape Distribution
Funkhouser, T.
* 2002: Reflective Symmetry Descriptor, A
* 2003: Sea of Images: A Dense Sampling Approach for Rendering Large Indoor Environments
* 2009: Min-cut based segmentation of point clouds
* 2009: Shape-based recognition of 3D point clouds in urban environments
* 2012: Where Do People Draw Lines?
* 2013: Learning part-based templates from large collections of 3D shapes
* 2015: Semantic alignment of LiDAR data at city scale
* 2017: 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions
* 2017: Dilated Residual Networks
* 2017: Fine-to-Coarse Global Registration of RGB-D Scans
* 2017: Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks
* 2017: ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
* 2017: Semantic Scene Completion from a Single Depth Image
* 2018: ActiveStereoNet: End-to-End Self-supervised Learning for Active Stereo Systems
* 2018: Deep Depth Completion of a Single RGB-D Image
* 2018: Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View
* 2018: PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction
* 2018: Structure-Aware Shape Synthesis
* 2018: Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
* 2019: FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image
* 2019: Learning Shape Templates With Structured Implicit Functions
* 2019: Neural Illumination: Lighting Prediction for Indoor Environments
* 2019: Rescan: Inductive Instance Segmentation for Indoor RGBD Scans
* 2019: TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes
* 2020: Adversarial Texture Optimization From RGB-D Scans
* 2020: DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes
* 2020: Learning to Infer Semantic Parameters for 3D Shape Editing
* 2020: Local Deep Implicit Functions for 3D Shape
* 2020: Local Implicit Grid Representations for 3D Scenes
* 2020: LSTM Approach to Temporal 3d Object Detection in Lidar Point Clouds, An
* 2020: Pillar-based Object Detection for Autonomous Driving
* 2020: Virtual Multi-view Fusion for 3d Semantic Segmentation
* 2021: Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds
* 2021: Contrastive Multimodal Fusion with TupleInfoNCE
* 2021: IBRNet: Learning Multi-View Image-Based Rendering
* 2021: Learning 3D Semantic Segmentation with only 2D Image Supervision
* 2021: Multiresolution Deep Implicit Functions for 3D Shape Representation
* 2021: Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments
* 2022: Forecasting Characteristic 3D Poses of Human Actions
* 2022: Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
* 2022: Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations
* 2022: Urban Radiance Fields
* 2023: Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting
* 2023: MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
* 2023: Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision
* 2023: OpenScene: 3D Scene Understanding with Open Vocabularies
Includes: Funkhouser, T. Funkhouser, T.[Thomas] Funkhouser, T.[Tom]
46 for Funkhouser, T.