Bode, L.
* 2019: Real-Time Multi-Material Reflectance Reconstruction for Large-Scale Scenes Under Uncontrolled Illumination from RGB-D Image Sequences
* 2023: BoundED: Neural boundary and edge detection in 3D point clouds via local neighborhood statistics
Includes: Bode, L. Bode, L.[Lukas]
Bode, T.[Thomas]
* 2004: Story of the GeoToolKit: An Object-Oriented Geodatabase Kernel System, The
Bodempudi, S.T.[Sri Teja]
* 2019: Emergency Response Using HoloLens for Building Evacuation
* 2021: Real-Time Data Analytics of COVID Pandemic Using Virtual Reality
Boden, A.[Alyssa]
* 2022: Large Scale Real-World Multi-person Tracking
Boden, C.[Charlotte]
* 2011: Surface Reconstruction of Rotating Objects from Monocular Video
Boden, M.[Mikael]
* 2009: It's about time: Signal recognition in staged models of protein translocation
Bodenhagen, L.[Leon]
* 2010: Using multi-modal 3D contours and their relations for vision and robotics
* 2016: Stereo and Active-Sensor Data Fusion for Improved Stereo Block Matching
* 2023: Proactive Control for Online Individual User Adaptation in a Welfare Robot Guidance Scenario: Toward Supporting Elderly People
Bodenheimer, B.[Bobby]
* 2015: Fast depth from defocus from focal stacks
* 2019: Scaling Gain and Eyeheight While Locomoting in a Large VE
Bodenhofer, U.[Ulrich]
* 2009: Semi-automatic identification of print layers from a sequence of sample images: A case study from banknote print inspection
Bodenmueller, T.
* 2004: Online surface reconstruction from unorganized 3D-points for the DLR hand-guided scanner system
Bodenmuller, T.
* 2009: Self-Referenced DLR 3D-Modeler, The
* 2015: Efficient next-best-scan planning for autonomous 3D surface reconstruction of unknown objects
Includes: Bodenmuller, T. Bodenmüller, T. (Maybe also Bodenmueller, T.)Bodenmüller, T.[Tim] (Maybe also Bodenmueller, T.)
Bodenstedt, S.
* 2014: Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction
* 2023: Why is the Winner the Best?
Bodenstein, M.
* 2012: Impact of Model Shape Mismatch on Reconstruction Quality in Electrical Impedance Tomography
Bodensteiner, C.
* 2008: Local Region Descriptors for Active Contours Evolution
* 2010: Local multi-modal image matching based on self-similarity
* 2011: Monocular Camera Trajectory Optimization using LiDAR data
* 2011: Person re-identification in multi-camera networks
* 2012: Real-time 2D video/3D LiDAR registration
* 2015: Single Frame Based Video Geo-Localisation Using Structure Projection
* 2016: Moving object reconstruction in monocular video data using boundary generation
* 2017: Instance flow based online multiple object tracking
* 2018: 3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints
* 2018: Computer Vision for Medical Infant Motion Analysis: State of the Art and RGB-D Data Set
* 2019: 3D Object Trajectory Reconstruction using Stereo Matching and Instance Flow based Multiple Object Tracking
* 2021: 3D Surface Reconstruction From Multi-date Satellite Images
* 2023: Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization
Includes: Bodensteiner, C. Bodensteiner, C.[Christoph]
13 for Bodensteiner, C.
Bodenstorfer, E.[Ernst]
* 2012: High-speed line-scan camera with multi-line CMOS color sensor
Boder, M.
* 2001: Segmenting Traffic Scenes from Grey Level and Motion Information
Bodesheim, P.[Paul]
* 2011: Spectral Clustering of ROIs for Object Discovery
* 2012: Divergence-Based One-Class Classification Using Gaussian Processes
* 2012: Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
* 2012: Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels
* 2013: Approximations of Gaussian Process Uncertainties for Visual Recognition Problems
* 2013: Kernel Null Space Methods for Novelty Detection
* 2013: Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes
* 2015: Active learning and discovery of object categories in the presence of unnameable instances
* 2015: Local Novelty Detection in Multi-class Recognition Problems
* 2017: Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks
* 2019: Classification-Specific Parts for Improving Fine-Grained Visual Categorization
* 2021: Conditional dependence tests reveal the usage of ABCD rule features and bias variables in automatic skin lesion classification
* 2022: Investigating Neural Network Training on a Feature Level Using Conditional Independence
* 2022: Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout
14 for Bodesheim, P.