Professur für Maschinelles Lernen in der Signalverarbeitung

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation (2025) Liu Y, Chen Y, Wang H, Belagiannis V, Reid I, Carneiro G Conference contribution Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation (2025) Hornauer J, El-Ghoussani A, Belagiannis V Journal article Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis (2024) Conrad J, Kauffman J, Wilhelmstatter S, Asthana R, Belagiannis V, Ortmanns M Conference contribution Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation (2024) El-Ghoussani A, Hornauer J, Carneiro G, Belagiannis V Conference contribution, Conference Contribution Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches (2024) Conrad J, Wilhelmstatter S, Asthana R, Belagiannis V, Ortmanns M Conference contribution Multi-conditioned Graph Diffusion for Neural Architecture Search (2024) Asthana R, Conrad J, Dawoud Y, Ortmanns M, Belagiannis V Journal article, Online publication Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation (2024) Liu Y, Ding C, Tian Y, Pang G, Belagiannis V, Reid I, Carneiro G Conference contribution Infrastructure-based Perception with Cameras and Radars for Cooperative Driving Scenarios (2024) Tsaregorodtsev A, Buchholz M, Belagiannis V Conference contribution Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy (2024) Conrad J, Wilhelmstatter S, Asthana R, Belagiannis V, Ortmanns M Journal article Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction (2023) Wiederer J, Schmidt J, Kressel U, Dietmayer K, Belagiannis V Conference contribution