Vasileios Belagiannis

Friedrich-Alexander-Universität Erlangen-Nürnberg — Germany

Computer Science · Physical Sciences

27h-index3.9kcitations148works1.62yr avg
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Research Topics

Advanced Neural Network Applications(23), Video Surveillance and Tracking Methods(22), Human Pose and Action Recognition(22), Advanced Vision and Imaging(21), Robotics and Sensor-Based Localization(17)

Publications148 total

AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
2025
Depth Edge Alignment Loss: DEALing with Depth in Weakly Supervised Semantic Segmentation
arXiv (Cornell University)·2025Open Access
Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
arXiv (Cornell University)·2025Open Access
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
arXiv (Cornell University)·2025Open Access
PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers
2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
2025· 3 cited
Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025· 2 cited
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation
arXiv (Cornell University)·2025Open Access
Machine learning-based prediction of quality characteristics in joining processes to minimize destructive testing: A case study on crimp connections
Procedia CIRP·2025Open Access
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
arXiv (Cornell University)·2024Open Access
Focused MRI Segmentation: Leveraging Diffusion Models for Brain Tumor Segmentation in Low-Resolution Areas
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition·2024
Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy
IEEE Transactions on Circuits and Systems I Regular Papers·2024· 1 citedOpen Access
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
Lecture notes in computer science·2024· 1 cited
Translation Consistent Semi-Supervised Segmentation for 3D Medical Images
IEEE Transactions on Medical Imaging·2024· 23 cited
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
arXiv (Cornell University)·2024Open Access
Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis
2024
Infrastructure-based Perception with Cameras and Radars for Cooperative Driving Scenarios
2024· 1 cited
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation
arXiv (Cornell University)·2024Open Access
Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches
2024
Multi-conditioned Graph Diffusion for Neural Architecture Search
arXiv (Cornell University)·2024· 1 citedOpen Access
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Frequent Co-authors

Gustavo Carneiro(19), Nassir Navab(17), Fengbei Liu(7), Ian Reid(7), Yuyuan Liu(6), Yu Tian(6), Slobodan Ilić(6), Klaus Dietmayer(6), Filipe R. Cordeiro(6), Yuanhong Chen(5), Federico Tombari(5), Felix Achilles(3), Andrew P. Bradley(3), João Manuel R. S. Tavares(3), Bernt Schiele(3), Ragav Sachdeva(3), Ulrich Kreßel(3), Azade Farshad(3), Youssef Dawoud(3), Marcel Schreiber(3)