Prof. Dr. Vasileios Belagiannis

Professur für Maschinelles Lernen in der Signalverarbeitung

Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware (2021) Hornauer J, Nalpantidis L, Belagiannis V Conference contribution Dynamic Occupancy Grid Mapping with Recurrent Neural Networks (2021) Schreiber M, Glaeser C, Dietmayer K, Belagiannis V Conference contribution Nonlinearity Modeling for Mixed-Signal Inference Accelerators in Training Frameworks (2021) Conrad J, Jiang B, Kaesser P, Ortmanns M, Belagiannis V Conference contribution Learning Temporal 3D Human Pose Estimation with Pseudo-Labels (2021) Bouazizi A, Kressel U, Belagiannis V Conference contribution Deep Learning versus High-order Recurrent Neural Network based Decoding for Convolutional Codes (2020) Teich WG, Liu R, Belagiannis V Conference contribution Multiple trajectory prediction with deep temporal and spatial convolutional neural networks (2020) Strohbeck J, Mueller J, Schreiber M, Herrmann M, Wolf D, Buchholz M, Belagiannis V Conference contribution Traffic control gesture recognition for autonomous vehicles (2020) Wiederer J, Bouazizi A, Kressel U, Belagiannis V Conference contribution DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration (2020) Horn M, Engel N, Belagiannis V, Buchholz M, Dietmayer K Conference contribution Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks (2020) Schreiber M, Belagiannis V, Glaser C, Dietmayer K Conference contribution LACI: Low-effort Automatic Calibration of Infrastructure Sensors (2019) Muller J, Herrmann M, Strohbeck J, Belagiannis V, Buchholz M Conference contribution