Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Crash Rate Estimation by Aerial Image Analysis
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Visualisierung der internen Prozesse Künstlicher Neuronaler Netze in Virtual Reality
Speeding Up Optimization-based Motion Planning through Deep Learning
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Deep recurrent neural networks for abstractive text summarization
Incremental Skill Learning of Stable Dynamical Systems
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
Innovation Paths for Machine Learning in Robotics
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Combining Semantic Self-Supervision and Self-Training for Domain Adaptation in Semantic Segmentation
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Kinematic transfer learning of sampling distributions for manipulator motion planning
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Learning haptic exploration schemes for adaptive task execution
Collaborative Programming of Conditional Robot Tasks
Generalization of human grasping for multi-fingered robot hands
Using ultrasound images of the forearm to predict finger positions
Aerodynamics Analysis Tools for Flying Robots: Automated Tuft Recognition using Deep Learning
Main Entrance Tagging based on Intrinsic and Extrinsic Feature Extracted from OSM
The Causality for Climate Challenge
Event-Log Analyse mittels Clustering und Mustererkennung
Tutorial: Natural language processing with Python
Using Predictive Uncertainty for Cleaning Noisy Annotations
A camera self-health-maintenance system based on sensor artificial intelligence
AI-based Wave Prediction in Complex Plasmas
Progressive Bayesian Neural Networks
Refining action segmentation with hierarchical video representations
DOT: Dynamic Object Tracking for Visual SLAM
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Visualizing Convolutional Neural Networks with Virtual Reality
Generalization of optimal motion trajectories for a biped walking machine based on machine learning
Open Fusion Platform for Automated Driving Cars Based on Nvidia DPX2
Explaining the Effects of Clouds on Remote Sensing Scene Classification