Bies, B.[Brian]
* 2010: Using cloud shadows to infer scene structure and camera calibration
Biesbroek, J.M.
* 2019: Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Biescas, E.[Erlinda]
* 2008: Generation of Advanced ERS and Envisat Interferometric SAR Products Using the Stable Point Network Technique
Biesemans, J.
* 2011: Effect of DEM Uncertainty on the Positional Accuracy of Airborne Imagery
* 2013: Geospectral Camera: A Compact and Geometrically Precise Hyperspectral and High Spatial Resolution Imager, The
Bieshaar, M.[Maarten]
* 2020: Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks
* 2020: Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks
* 2021: Description of Corner Cases in Automated Driving: Goals and Challenges
* 2021: Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
* 2023: What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving
Biesiadecki, J.[Jeffrey]
* 2006: Autonomous Detection of Dust Devils and Clouds on Mars
* 2008: Automatic detection of dust devils and clouds on Mars
Biesner, D.[David]
* 2021: Tackling Contradiction Detection in German Using Machine Translation and End-to-End Recurrent Neural Networks
Biessels, G.J.
* 2015: Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation
* 2019: Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Biessmann, F.
* 2013: Integration of Multivariate Data Streams With Bandpower Signals
Bieszmann, F.
* 2015: Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces
* 2015: Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data