A review of deep learning methods and applications for unmanned aerial vehicles
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
Industrial robot control with object recognition based on deep learning
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
CryptoKnight:generating and modelling compiled cryptographic primitives
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Robot-aided cloth classification using depth information and CNNs
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
Active garment recognition and target grasping point detection using deep learning
Active garment recognition and target grasping point detection using deep learning
Object detection in high-resolution radar data
Combining learning and structure for robotic manipulation
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
A Deep Learning Approach for Object Recognition with NAO Soccer Robots