Vasileios Belagiannis
Scholar

Vasileios Belagiannis

Google Scholar ID: 4IlWd90AAAAJ
Professor, Friedrich-Alexander-Universität Erlangen-Nürnberg
Machine LearningComputer VisionRobotics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
6,736
 
H-index
31
 
i10-index
52
 
Publications
20
 
Co-authors
66
list available
Contact
Emailvasileios.belagiannis@fau.deTwitterOpen ↗GitHubOpen ↗
Publications
14 items
GroupEnsemble: Efficient Uncertainty Estimation for DETR-based Object Detection
2026
Cited
0
The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning
2026
Cited
0
LSA: Localized Semantic Alignment for Enhancing Temporal Consistency in Traffic Video Generation
2026
Cited
0
Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability
2026
Cited
0
ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation
2026
Cited
0
Visual Autoregressive Modelling for Monocular Depth Estimation
2025
Cited
0
Depth Edge Alignment Loss: DEALing with Depth in Weakly Supervised Semantic Segmentation
2025
Cited
0
Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature
2025
Cited
0
Resume (English only)
Academic Achievements
  • Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature, Transactions on Machine Learning Research, 2025
  • Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection, ICCVW 2025
  • Revisiting Gradient-based Uncertainty for Monocular Depth Estimation, IEEE TPAMI 2025
  • Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation, IEEE WACV 2025
  • Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation, CoLLAs 2024
  • Multi-conditioned Graph Diffusion for Neural Architecture Search, Transactions on Machine Learning Research, March 2024
Co-authors
66 total
Nassir Navab
Nassir Navab
Professor of Computer Science, Technische Universität München
Gustavo Carneiro
Gustavo Carneiro
Professor of AI and Machine Learning, University of Surrey
Klaus Dietmayer
Klaus Dietmayer
Professor für Mess- und Regelungstechnik
Federico Tombari
Federico Tombari
Google, TU Munich
Yu Tian
Yu Tian
Assistant Professor of Computer Science, University of Central Florida
Slobodan Ilic
Slobodan Ilic
Senior Key Expert Research Scientist, Siemens AG and Adjunct Professor at TUM
Fengbei Liu
Fengbei Liu
Cornell University
yuyuan liu
yuyuan liu
University of Oxford