Vasileios Belagiannis
14 papers · 2014–2025 · 6 venues · across top CS/AI venues
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Machine Learning
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out-of-distribution detection
(3)
semantic segmentation
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uncertainty estimation
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semi-supervised learning
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anomaly detection
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human pose estimation
(2)
data augmentation
(1)
self-supervised learning
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domain generalization
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noisy label learning
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guided sampling
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weakly supervised learning
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few-shot learning
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multi-label classification
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monocular depth estimation
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curriculum learning
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image synthesis
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motion forecasting
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medical image classification
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feature extraction
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Papers
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
WACV 2025
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
ECCV 2024
Heatmap-Based Out-of-Distribution Detection
WACV 2023
Knowing What To Label for Few Shot Microscopy Image Cell Segmentation
WACV 2023
Out-of-Distribution Detection for Monocular Depth Estimation
ICCV 2023
Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation
ICCV 2023
ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification
CVPR 2022
Gradient-Based Uncertainty for Monocular Depth Estimation
ECCV 2022
MotionMixer: MLP-based 3D Human Body Pose Forecasting
IJCAI 2022
Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation
CVPR 2022
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
CoRL 2021
EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels
WACV 2021
Robust Optimization for Deep Regression
ICCV 2015
3D Pictorial Structures for Multiple Human Pose Estimation
CVPR 2014