Deep Localization of Static Scans in Mobile Mapping Point Clouds

Development of a Deep Learning Surrogate Model to Simulate MetOp ASCAT Observations with Land Surface Parameters

Backdoor Attacks in Neural Networks

Scale Learning in Scale-Equivariant Convolutional networks

MR reconstruction of FLAIR weighted images with simulated lesions: A comparison between Compressed Sensing and a Recurrent Inference Machine

HiPSS-LSTM: A Hierarchical Probabilistic LSTM model for motion forecasting

Application of Deep Learning for Spacecraft Fault Detection and Isolation

A trainable activation scheme for applying Neural Radiance Fields in novel view synthesis tasks

Meta-learning for few-shot on-chip sequence classification

Generating Robotic Manipulation Trajectories with Neural Networks

The Landing of a Quadcopter on Inclined Surfaces using Reinforcement Learning

Deep vs Shallow Reinforcement Learning for low dimensional continuous control tasks

Exploration of Deep Learning-based Computer Vision for the detection of floating plastic debris in waterways

Deep Learning for Pixelwise Classification of Hyperspectral Images: A generalizing model for a fixed scene subject to temporally changing weather, lighting and seasonal conditions

Hardware-based implementations in Side-Channel Analysis: A comparison study of DL SCA attacks against HW and SW AES and a novel methodology

Deep End-to-end Network for 3D Object Detection in the Context of Autonomous Driving

Vision-based Terrain Segmentation and Roughness Estimation: Application on the CENTAURO Robot

LightLetter: Contactless Letter Recognition using Ambient Light

Fuzzy Face Clustering For Forensic Investigations

Rotation invariant filters in CNNs: applied to segmentation of aerial images for land-use classification