Sick, B.[Bernhard]
* 2006: Online Signature Verification with New Time Series Kernels for Support Vector Machines
* 2009: On-line motif detection in time series with SwiftMotif
* 2010: Online Segmentation of Time Series Based on Polynomial Least-Squares Approximations
* 2010: Online Signature Verification With Support Vector Machines Based on LCSS Kernel Functions
* 2014: Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks
* 2020: Intelligent and Interactive Video Annotation for Instance Segmentation Using Siamese Neural Networks
* 2020: Intentions of Vulnerable Road Users: Detection and Forecasting by Means of Machine Learning
* 2020: Novelty Based Driver Identification on Rr Intervals from ECG Data
* 2020: Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks
* 2020: Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
* 2020: Towards Corner Case Detection by Modeling the Uncertainty of Instance Segmentation Networks
* 2021: About the Ambiguity of Data Augmentation for 3D Object Detection in Autonomous Driving
* 2021: Deep transformation models: Tackling complex regression problems with neural network based transformation models
* 2021: Description of Corner Cases in Automated Driving: Goals and Challenges
* 2021: Emerging Relation Network and Task Embedding for Multi-Task Regression Problems
* 2021: Image Sequence Based Cyclist Action Recognition Using Multi-Stream 3D Convolution
* 2021: Iterative Label Improvement: Robust Training by Confidence Based Filtering and Dataset Partitioning
* 2021: Multi-Annotator Probabilistic Active Learning
* 2021: Out-of-distribution Detection and Generation using Soft Brownian Offset Sampling and Autoencoders
* 2021: Separation of Aleatoric and Epistemic Uncertainty in Deterministic Deep Neural Networks
* 2022: Deep and interpretable regression models for ordinal outcomes
* 2023: What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving
Includes: Sick, B.[Bernhard] Sick, B. Sick, B.[Beate]
22 for Sick, B.
Sick, V.[Volker]
* 2015: Model-based image reconstruction of chemiluminescence using a plenoptic 2.0 camera
Sicker, R.J.[Ronald J.]
* 2010: Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station
Sickert, S.[Sven]
* 2017: Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues
Sicking, J.[Joachim]
* 2021: Patch Shortcuts: Interpretable Proxy Models Efficiently Find Black-Box Vulnerabilities