The Vision System of the ACROBOTER Project. - Rigas Kouskouridas; Nikolaos Kyriakoulis; Dimitrios Chrysostomou; Vasileios Belagiannis; Spyridon G. Mouroutsos; Antonios Gasteratos (ICIRA, 2009)

Segmentation Based Particle Filtering for Real-Time 2D Object Tracking. - Vasileios Belagiannis; Falk Schubert; Nassir Navab; Slobodan Ilic (ECCV (4), 2012)

Holistic Human Pose Estimation with Regression Forests. - Vasileios Belagiannis; Christian Amann; Nassir Navab; Slobodan Ilic (AMDO, 2014)

3D Pictorial Structures for Multiple Human Pose Estimation. - Vasileios Belagiannis; Sikandar Amin; Mykhaylo Andriluka; Bernt Schiele; Nassir Navab; Slobodan Ilic (CVPR, 2014)

Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures. - Vasileios Belagiannis; Xinchao Wang; Bernt Schiele; Pascal Fua; Slobodan Ilic; Nassir Navab (ECCV Workshops (1), 2014)

Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding. - Fausto Milletari; Vasileios Belagiannis; Nassir Navab; Pascal Fallavollita (MICCAI (2), 2014)

Robust Optimization for Deep Regression. - Vasileios Belagiannis; Christian Rupprecht 001; Gustavo Carneiro 001; Nassir Navab (ICCV, 2015)

Revisiting Robust Visual Tracking Using Pixel-Wise Posteriors. - Falk Schubert; Daniele Casaburo; Dirk Dickmanns; Vasileios Belagiannis (ICVS, 2015)

Anatomic-landmark detection using graphical context modelling. - Lichao Wang; Vasileios Belagiannis; Carsten Marr; Fabian J. Theis; Guang-Zhong Yang; Nassir Navab (ISBI, 2015)

Random ferns for multiple target tracking in microscopic retina image sequences. - Mehmet Yigitsoy; Vasileios Belagiannis; Aleksander Djurka; Amin Katouzian; Slobodan Ilic; Franjo Pernus; Abouzar Eslami; Nassir Navab (ISBI, 2015)

Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery. - Nicola Rieke; David Joseph Tan; Mohamed Alsheakhali; Federico Tombari; Chiara Amat di San Filippo; Vasileios Belagiannis; Abouzar Eslami; Nassir Navab (MICCAI (1), 2015)

Deeper Depth Prediction with Fully Convolutional Residual Networks. - Iro Laina; Christian Rupprecht 001; Vasileios Belagiannis; Federico Tombari; Nassir Navab (3DV, 2016)

Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences. - Christoph Baur; Fausto Milletari; Vasileios Belagiannis; Nassir Navab; Pascal Fallavollita (Int. J. Comput. Assist. Radiol. Surg., 2016)

Real-time localization of articulated surgical instruments in retinal microsurgery. - Nicola Rieke; David Joseph Tan; Chiara Amat di San Filippo; Federico Tombari; Mohamed Alsheakhali; Vasileios Belagiannis; Abouzar Eslami; Nassir Navab (Medical Image Anal., 2016)

Parsing human skeletons in an operating room. - Vasileios Belagiannis; Xinchao Wang; Horesh Ben Shitrit; Kiyoshi Hashimoto; Ralf Stauder; Yoshimitsu Aoki; Michael Kranzfelder; Armin Schneider; Pascal Fua; Slobodan Ilic; Hubertus Feussner; Nassir Navab (Mach. Vis. Appl., 2016)

3D Pictorial Structures Revisited: Multiple Human Pose Estimation. - Vasileios Belagiannis; Sikandar Amin; Mykhaylo Andriluka; Bernt Schiele; Nassir Navab; Slobodan Ilic (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images. - Shadi Albarqouni; Christoph Baur; Felix Achilles; Vasileios Belagiannis; Stefanie Demirci; Nassir Navab (IEEE Trans. Medical Imaging, 2016)

Recurrent Human Pose Estimation. - Vasileios Belagiannis; Andrew Zisserman (FG, 2017)

Adversarial Network Compression. - Vasileios Belagiannis; Azade Farshad; Fabio Galasso (ECCV Workshops (4), 2018)

Convolutional neural networks for real-time epileptic seizure detection. - Felix Achilles; Federico Tombari; Vasileios Belagiannis; Anna Mira Loesch; Soheyl Noachtar; Nassir Navab (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

1st MICCAI workshop on deep learning in medical image analysis. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Adversarial Signal Denoising with encoder-decoder networks. - Leslie Casas; Nassir Navab; Vasileios Belagiannis (CoRR, 2018)

LACI: Low-effort Automatic Calibration of Infrastructure Sensors. - Johannes Müller 003; Martin Herrmann; Jan Strohbeck; Vasileios Belagiannis; Michael Buchholz (ITSC, 2019)

DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. - Nico Engel; Stefan Hoermann 002; Markus Horn; Vasileios Belagiannis; Klaus Dietmayer (ITSC, 2019)

Editorial. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Jacinto C. Nascimento; Jaime S. Cardoso 001; Zhi Lu; Vasileios Belagiannis (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)

Few-Shot Meta-Denoising. - Leslie Casas; Gustavo Carneiro 001; Nassir Navab; Vasileios Belagiannis (CoRR, 2019)

Adversarial Signal Denoising with Encoder-Decoder Networks. - Leslie Casas; Attila Klimmek; Nassir Navab; Vasileios Belagiannis (EUSIPCO, 2020)

Deep Learning versus High-order Recurrent Neural Network based Decoding for Convolutional Codes. - Werner G. Teich; Ruiqi Liu; Vasileios Belagiannis (GLOBECOM, 2020)

Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks. - Marcel Schreiber; Vasileios Belagiannis; Claudius Gläser; Klaus Dietmayer (ICRA, 2020)

Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks. - Jan Strohbeck; Vasileios Belagiannis; Johannes Müller 003; Marcel Schreiber; Martin Herrmann; Daniel Wolf; Michael Buchholz (IROS, 2020)

Traffic Control Gesture Recognition for Autonomous Vehicles. - Julian Wiederer; Arij Bouazizi; Ulrich Kressel; Vasileios Belagiannis (IROS, 2020)

DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration. - Markus Horn; Nico Engel; Vasileios Belagiannis; Michael Buchholz; Klaus Dietmayer (ITSC, 2020)

Few-Shot Microscopy Image Cell Segmentation. - Youssef Dawoud; Julia Hornauer; Gustavo Carneiro 001; Vasileios Belagiannis (ECML/PKDD (5), 2020)

Special issue: 4th MICCAI workshop on deep learning in medical image analysis. - Gustavo Carneiro 001; João Manuel R. S. Tavares; Andrew P. Bradley; João Paulo Papa; Vasileios Belagiannis; Jacinto C. Nascimento; Zhi Lu (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Learning Temporal 3D Human Pose Estimation with Pseudo-Labels. - Arij Bouazizi; Ulrich Kressel; Vasileios Belagiannis (AVSS, 2021)

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. - Filipe Rolim Cordeiro; Vasileios Belagiannis; Ian Reid 001; Gustavo Carneiro 001 (BMVC, 2021)

Anomaly Detection in Multi-Agent Trajectories for Automated Driving. - Julian Wiederer; Arij Bouazizi; Marco Troina; Ulrich Kressel; Vasileios Belagiannis (CoRL, 2021)

Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry. - Arij Bouazizi; Julian Wiederer; Ulrich Kressel; Vasileios Belagiannis (FG, 2021)

Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware. - Julia Hornauer; Lazaros Nalpantidis; Vasileios Belagiannis (ICCVW, 2021)

Nonlinearity Modeling for Mixed-Signal Inference Accelerators in Training Frameworks. - Joschua Conrad; Biyi Jiang; Paul Kässer; Vasileios Belagiannis; Maurits Ortmanns (ICECS, 2021)

Dynamic Occupancy Grid Mapping with Recurrent Neural Networks. - Marcel Schreiber; Vasileios Belagiannis; Claudius Gläser; Klaus Dietmayer (ICRA, 2021)

Attention-based Vehicle Self-Localization with HD Feature Maps. - Nico Engel; Vasileios Belagiannis; Klaus Dietmayer (ITSC, 2021)

Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. - Fengbei Liu; Yu Tian 001; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (MLMI@MICCAI, 2021)

EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. - Ragav Sachdeva; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (WACV, 2021)

Point Transformer. - Nico Engel; Vasileios Belagiannis; Klaus Dietmayer (IEEE Access, 2021)

Noisy Label Learning for Large-scale Medical Image Classification. - Fengbei Liu; Yu Tian 001; Filipe R. Cordeiro; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (CoRR, 2021)

ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. - Fengbei Liu; Yu Tian 001; Yuanhong Chen; Yuyuan Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CoRR, 2021)

Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets. - Irtiza Hasan; Francesco Setti; Theodore Tsesmelis; Vasileios Belagiannis; Sikandar Amin; Alessio Del Bue; Marco Cristani; Fabio Galasso (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. - Osman Ülger; Julian Wiederer; Mohsen Ghafoorian; Vasileios Belagiannis; Pascal Mettes (BMVC, 2022)

Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. - Yuyuan Liu; Yu Tian 001; Yuanhong Chen; Fengbei Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CVPR, 2022)

ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. - Fengbei Liu; Yu Tian 001; Yuanhong Chen; Yuyuan Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (CVPR, 2022)

Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles. - Adrian Holzbock; Nicolai Kern; Christian Waldschmidt; Klaus Dietmayer; Vasileios Belagiannis (ECCV Workshops (1), 2022)

Gradient-Based Uncertainty for Monocular Depth Estimation. - Julia Hornauer; Vasileios Belagiannis (ECCV (20), 2022)

Lightweight Monocular Depth Estimation through Guided Decoding. - Michael Rudolph 006; Youssef Dawoud; Ronja Güldenring; Lazaros Nalpantidis; Vasileios Belagiannis (ICRA, 2022)

MotionMixer: MLP-based 3D Human Body Pose Forecasting. - Arij Bouazizi; Adrian Holzbock; Ulrich Kressel; Klaus Dietmayer; Vasileios Belagiannis (IJCAI, 2022)

Extrinsic Camera Calibration with Semantic Segmentation. - Alexander Tsaregorodtsev; Johannes Müller 003; Jan Strohbeck; Martin Herrmann; Michael Buchholz; Vasileios Belagiannis (ITSC, 2022)

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. - Julian Wiederer; Julian Schmidt; Ulrich Kressel; Klaus Dietmayer; Vasileios Belagiannis (ITSC, 2022)

A Spatio-Temporal Multilayer Perceptron for Gesture Recognition. - Adrian Holzbock; Alexander Tsaregorodtsev; Youssef Dawoud; Klaus Dietmayer; Vasileios Belagiannis (IV, 2022)

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping. - Marcel Schreiber; Vasileios Belagiannis; Claudius Gläser; Klaus Dietmayer (IV, 2022)

Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. - Youssef Dawoud; Katharina Ernst; Gustavo Carneiro 001; Vasileios Belagiannis (MOVI@MICCAI, 2022)

MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. - Azade Farshad; Anastasia Makarevich; Vasileios Belagiannis; Nassir Navab (DART@MICCAI, 2022)

NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. - Fengbei Liu; Yuanhong Chen; Yu Tian 001; Yuyuan Liu; Chong Wang 012; Vasileios Belagiannis; Gustavo Carneiro 001 (MICCAI (3), 2022)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. - Dung Anh Hoang; Cuong Nguyen 006; Vasileios Belagiannis; Gustavo Carneiro 001 (CoRR, 2022)

Localizing Spatial Information in Neural Spatiospectral Filters. - Annika Briegleb; Thomas Haubner; Vasileios Belagiannis; Walter Kellermann (EUSIPCO, 2023)

Data-Free Backbone Fine-Tuning for Pruned Neural Networks. - Adrian Holzbock; Achyut Hegde; Klaus Dietmayer; Vasileios Belagiannis (EUSIPCO, 2023)

Automated Automotive Radar Calibration with Intelligent Vehicles. - Alexander Tsaregorodtsev; Michael Buchholz; Vasileios Belagiannis (EUSIPCO, 2023)

Out-of-Distribution Detection for Monocular Depth Estimation. - Julia Hornauer; Adrian Holzbock; Vasileios Belagiannis (ICCV, 2023)

Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. - Yuyuan Liu; Choubo Ding; Yu Tian 001; Guansong Pang; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (ICCV, 2023)

SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. - Youssef Dawoud; Gustavo Carneiro 001; Vasileios Belagiannis (ICCV (Workshops), 2023)

Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. - Julian Wiederer; Julian Schmidt; Ulrich Kressel; Klaus Dietmayer; Vasileios Belagiannis (IROS, 2023)

Pedestrian Environment Model for Automated Driving. - Adrian Holzbock; Alexander Tsaregorodtsev; Vasileios Belagiannis (ITSC, 2023)

RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. - Julian Schmidt; Pascal Huissel; Julian Wiederer; Julian Jordan; Vasileios Belagiannis; Klaus Dietmayer (IV, 2023)

Automated Static Camera Calibration with Intelligent Vehicles. - Alexander Tsaregorodtsev; Adrian Holzbock; Jan Strohbeck; Michael Buchholz; Vasileios Belagiannis (IV, 2023)

Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. - Youssef Dawoud; Arij Bouazizi; Katharina Ernst; Gustavo Carneiro 001; Vasileios Belagiannis (WACV, 2023)

Heatmap-based Out-of-Distribution Detection. - Julia Hornauer; Vasileios Belagiannis (WACV, 2023)

LongReMix: Robust learning with high confidence samples in a noisy label environment. - Filipe R. Cordeiro; Ragav Sachdeva; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (Pattern Recognit., 2023)

ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. - Ragav Sachdeva; Filipe Rolim Cordeiro; Vasileios Belagiannis; Ian Reid 001; Gustavo Carneiro 001 (Pattern Recognit., 2023)

ParticleAugment: Sampling-based data augmentation. - Alexander Tsaregorodtsev; Vasileios Belagiannis (Comput. Vis. Image Underst., 2023)

Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches. - Joschua Conrad; Simon Wilhelmstätter; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (AICAS, 2024)

Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. - Amir El-Ghoussani; Julia Hornauer; Gustavo Carneiro 001; Vasileios Belagiannis (CoLLAs, 2024)

ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. - Yuyuan Liu; Yuanhong Chen; Hu Wang 005; Vasileios Belagiannis; Ian D. Reid 001; Gustavo Carneiro 001 (ECCV (1), 2024)

Infrastructure-based Perception with Cameras and Radars for Cooperative Driving Scenarios. - Alexander Tsaregorodtsev; Michael Buchholz; Vasileios Belagiannis (IV, 2024)

Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis. - Joschua Conrad; John G. Kauffman; Simon Wilhelmstätter; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (NewCAS, 2024)

Multi-conditioned Graph Diffusion for Neural Architecture Search. - Rohan Asthana; Joschua Conrad; Youssef Dawoud; Maurits Ortmanns; Vasileios Belagiannis (Trans. Mach. Learn. Res., 2024)

PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers. - Joschua Conrad; Simon Wilhelmstätter; Holger Mandry; Paul Kässer; Ahmed Abdelaal; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (ISCAS, 2025)

Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation. - Michele De Vita; Vasileios Belagiannis (WACV, 2025)

Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature. - Rohan Asthana; Joschua Conrad; Maurits Ortmanns; Vasileios Belagiannis (Trans. Mach. Learn. Res., 2025)

Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. - Hoang Anh Dung; Cuong C. Nguyen; Vasileios Belagiannis; Thanh-Toan Do; Gustavo Carneiro 001 (Trans. Mach. Learn. Res., 2025)

Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy. - Joschua Conrad; Simon Wilhelmstätter; Rohan Asthana; Vasileios Belagiannis; Maurits Ortmanns (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)

Translation Consistent Semi-Supervised Segmentation for 3D Medical Images. - Yuyuan Liu; Yu Tian 001; Chong Wang 012; Yuanhong Chen; Fengbei Liu; Vasileios Belagiannis; Gustavo Carneiro 001 (IEEE Trans. Medical Imaging, 2025)

Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation. - Julia Hornauer; Amir El-Ghoussani; Vasileios Belagiannis (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework. - Yu Yao; Salil Bhatnagar; Markus Mazzola; Vasileios Belagiannis; Igor Gilitschenski; Luigi Palmieri; Simon Razniewski; Marcel Hallgarten (CoRR, 2025)

Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection. - Marc Hölle; Walter Kellermann; Vasileios Belagiannis (CoRR, 2025)