Vasileios Belagiannis

Orcid: 0000-0003-0960-8453

According to our database1, Vasileios Belagiannis authored at least 85 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-conditioned Graph Diffusion for Neural Architecture Search.
Trans. Mach. Learn. Res., 2024

Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation.
CoRR, 2024

Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis.
Proceedings of the 22nd IEEE Interregional NEWCAS Conference, 2024

Infrastructure-based Perception with Cameras and Radars for Cooperative Driving Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches.
Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023
ParticleAugment: Sampling-based data augmentation.
Comput. Vis. Image Underst., February, 2023

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning.
Pattern Recognit., 2023

LongReMix: Robust learning with high confidence samples in a noisy label environment.
Pattern Recognit., 2023

Heatmap-based Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Knowing What to Label for Few Shot Microscopy Image Cell Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Automated Static Camera Calibration with Intelligent Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Pedestrian Environment Model for Automated Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction.
IROS, 2023

SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Out-of-Distribution Detection for Monocular Depth Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Automated Automotive Radar Calibration with Intelligent Vehicles.
Proceedings of the 31st European Signal Processing Conference, 2023

Data-Free Backbone Fine-Tuning for Pruned Neural Networks.
Proceedings of the 31st European Signal Processing Conference, 2023

Localizing Spatial Information in Neural Spatiospectral Filters.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning.
CoRR, 2022

Translation Consistent Semi-supervised Segmentation for 3D Medical Images.
CoRR, 2022

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

A Spatio-Temporal Multilayer Perceptron for Gesture Recognition.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Extrinsic Camera Calibration with Semantic Segmentation.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

MotionMixer: MLP-based 3D Human Body Pose Forecasting.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Lightweight Monocular Depth Estimation through Guided Decoding.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Gradient-Based Uncertainty for Monocular Depth Estimation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification.
CoRR, 2021

Noisy Label Learning for Large-scale Medical Image Classification.
CoRR, 2021

Point Transformer.
IEEE Access, 2021

EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Attention-based Vehicle Self-Localization with HD Feature Maps.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Dynamic Occupancy Grid Mapping with Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Nonlinearity Modeling for Mixed-Signal Inference Accelerators in Training Frameworks.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

Anomaly Detection in Multi-Agent Trajectories for Automated Driving.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Learning Temporal 3D Human Pose Estimation with Pseudo-Labels.
Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

2020
Special issue: 4th MICCAI workshop on deep learning in medical image analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Few-Shot Microscopy Image Cell Segmentation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Traffic Control Gesture Recognition for Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Deep Learning versus High-order Recurrent Neural Network based Decoding for Convolutional Codes.
Proceedings of the IEEE Global Communications Conference, 2020

Adversarial Signal Denoising with Encoder-Decoder Networks.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Few-Shot Meta-Denoising.
CoRR, 2019

Editorial.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

LACI: Low-effort Automatic Calibration of Infrastructure Sensors.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Adversarial Signal Denoising with encoder-decoder networks.
CoRR, 2018

1st MICCAI workshop on deep learning in medical image analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Convolutional neural networks for real-time epileptic seizure detection.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018

Adversarial Network Compression.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Recurrent Human Pose Estimation.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016
AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images.
IEEE Trans. Medical Imaging, 2016

3D Pictorial Structures Revisited: Multiple Human Pose Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Parsing human skeletons in an operating room.
Mach. Vis. Appl., 2016

Real-time localization of articulated surgical instruments in retinal microsurgery.
Medical Image Anal., 2016

Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences.
Int. J. Comput. Assist. Radiol. Surg., 2016

Deeper Depth Prediction with Fully Convolutional Residual Networks.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Random ferns for multiple target tracking in microscopic retina image sequences.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Anatomic-landmark detection using graphical context modelling.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Revisiting Robust Visual Tracking Using Pixel-Wise Posteriors.
Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Robust Optimization for Deep Regression.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

3D Pictorial Structures for Multiple Human Pose Estimation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Holistic Human Pose Estimation with Regression Forests.
Proceedings of the Articulated Motion and Deformable Objects, 2014

2012
Segmentation Based Particle Filtering for Real-Time 2D Object Tracking.
Proceedings of the Computer Vision - ECCV 2012, 2012

2009
The Vision System of the ACROBOTER Project.
Proceedings of the Intelligent Robotics and Applications, Second International Conference, 2009


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