Vasileios Belagiannis

162 papers A* 10A 10B 4C 7Misc 1Journal 90Unranked 37

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability. CoRR Rohan Asthana, Vasileios Belagiannis
2026	J	`jnl`	GroupEnsemble: Efficient Uncertainty Estimation for DETR-based Object Detection. CoRR Yutong Yang, Katarina Popovic, Julian Wiederer, Markus Braun, Vasileios Belagiannis, Bin Yang
2026	J	`jnl`	LSA: Localized Semantic Alignment for Enhancing Temporal Consistency in Traffic Video Generation. CoRR Mirlan Karimov, Teodora Spasojevic, Markus Braun, Julian Wiederer, Vasileios Belagiannis, Marc Pollefeys
2026	J	`jnl`	ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation. CoRR Yuan Lin, Murong Xu, Marc Hölle, Chinmay Prabhakar, Andreas Maier, Vasileios Belagiannis, Bjoern Menze, Suprosanna Shit
2026	J	`jnl`	The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning. CoRR Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar, Hans Rosenberger, Vasileios Belagiannis, Ralf R. Müller
2026	J	`jnl`	The Confusion is Real: GRAPHIC - A Network Science Approach to Confusion Matrices in Deep Learning. Trans. Mach. Learn. Res. Johanna S. Fröhlich, Bastian Heinlein, Jan U. Claar, Hans Rosenberger, Vasileios Belagiannis, Ralf R. Müller
2026	—	`conf`	Visual Autoregressive Modelling for Monocular Depth Estimation. VISAPP (3) Amir El-Ghoussani, André Kaup, Nassir Navab, Gustavo Carneiro, Vasileios Belagiannis
2025	A	`conf`	AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework. IROS Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten
2025	J	`jnl`	AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework. CoRR Yu Yao, Salil Bhatnagar, Markus Mazzola, Vasileios Belagiannis, Igor Gilitschenski, Luigi Palmieri, Simon Razniewski, Marcel Hallgarten
2025	J	`jnl`	Depth Edge Alignment Loss: DEALing with Depth in Weakly Supervised Semantic Segmentation. CoRR Patrick Schmidt, Vasileios Belagiannis, Lazaros Nalpantidis
2025	J	`jnl`	Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature. CoRR Rohan Asthana, Joschua Conrad, Maurits Ortmanns, Vasileios Belagiannis
2025	J	`jnl`	Dextr: Zero-Shot Neural Architecture Search with Singular Value Decomposition and Extrinsic Curvature. Trans. Mach. Learn. Res. Rohan Asthana, Joschua Conrad, Maurits Ortmanns, Vasileios Belagiannis
2025	J	`jnl`	Differentiable Cost Model for Neural-Network Accelerator Regarding Memory Hierarchy. IEEE Trans. Circuits Syst. I Regul. Pap. Joschua Conrad, Simon Wilhelmstätter, Rohan Asthana, Vasileios Belagiannis, Maurits Ortmanns
2025	A	`conf`	Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation. WACV Michele De Vita, Vasileios Belagiannis
2025	J	`jnl`	Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. Trans. Mach. Learn. Res. Hoang Anh Dung, Cuong C. Nguyen, Vasileios Belagiannis, Thanh-Toan Do, Gustavo Carneiro
2025	C	`conf`	PSumSim: A Simulator for Partial-Sum Quantization in Analog Matrix-Vector Multipliers. ISCAS Joschua Conrad, Simon Wilhelmstätter, Holger Mandry, Paul Kässer, Ahmed Abdelaal, Rohan Asthana, Vasileios Belagiannis, Maurits Ortmanns
2025	J	`jnl`	Revisiting Gradient-Based Uncertainty for Monocular Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Julia Hornauer, Amir El-Ghoussani, Vasileios Belagiannis
2025	J	`jnl`	Revisiting Gradient-based Uncertainty for Monocular Depth Estimation. CoRR Julia Hornauer, Amir El-Ghoussani, Vasileios Belagiannis
2025	J	`jnl`	Translation Consistent Semi-Supervised Segmentation for 3D Medical Images. IEEE Trans. Medical Imaging Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2025	—	`conf`	Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection. ICCVW Marc Hölle, Walter Kellermann, Vasileios Belagiannis
2025	J	`jnl`	Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection. CoRR Marc Hölle, Walter Kellermann, Vasileios Belagiannis
2025	J	`jnl`	Visual Autoregressive Modelling for Monocular Depth Estimation. CoRR Amir El-Ghoussani, André Kaup, Nassir Navab, Gustavo Carneiro, Vasileios Belagiannis
2024	—	`conf`	Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis. NewCAS Joschua Conrad, John G. Kauffman, Simon Wilhelmstätter, Rohan Asthana, Vasileios Belagiannis, Maurits Ortmanns
2024	—	`conf`	Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. CoLLAs Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2024	J	`jnl`	Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation. CoRR Amir El-Ghoussani, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2024	J	`jnl`	Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation. CoRR Michele De Vita, Vasileios Belagiannis
2024	C	`conf`	Infrastructure-based Perception with Cameras and Radars for Cooperative Driving Scenarios. IV Alexander Tsaregorodtsev, Michael Buchholz, Vasileios Belagiannis
2024	—	`conf`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. ECCV (1) Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2024	J	`jnl`	ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2024	J	`jnl`	Multi-conditioned Graph Diffusion for Neural Architecture Search. CoRR Rohan Asthana, Joschua Conrad, Youssef Dawoud, Maurits Ortmanns, Vasileios Belagiannis
2024	J	`jnl`	Multi-conditioned Graph Diffusion for Neural Architecture Search. Trans. Mach. Learn. Res. Rohan Asthana, Joschua Conrad, Youssef Dawoud, Maurits Ortmanns, Vasileios Belagiannis
2024	—	`conf`	Too-Hot-to-Handle: Insights into Temperature and Noise Hyperparameters for Differentiable Neural-Architecture-Searches. AICAS Joschua Conrad, Simon Wilhelmstätter, Rohan Asthana, Vasileios Belagiannis, Maurits Ortmanns
2023	J	`jnl`	Automated Automotive Radar Calibration With Intelligent Vehicles. CoRR Alexander Tsaregorodtsev, Michael Buchholz, Vasileios Belagiannis
2023	—	`conf`	Automated Automotive Radar Calibration with Intelligent Vehicles. EUSIPCO Alexander Tsaregorodtsev, Michael Buchholz, Vasileios Belagiannis
2023	C	`conf`	Automated Static Camera Calibration with Intelligent Vehicles. IV Alexander Tsaregorodtsev, Adrian Holzbock, Jan Strohbeck, Michael Buchholz, Vasileios Belagiannis
2023	J	`jnl`	Automated Static Camera Calibration with Intelligent Vehicles. CoRR Alexander Tsaregorodtsev, Adrian Holzbock, Jan Strohbeck, Michael Buchholz, Vasileios Belagiannis
2023	—	`conf`	Data-Free Backbone Fine-Tuning for Pruned Neural Networks. EUSIPCO Adrian Holzbock, Achyut Hegde, Klaus Dietmayer, Vasileios Belagiannis
2023	J	`jnl`	Data-Free Backbone Fine-Tuning for Pruned Neural Networks. CoRR Adrian Holzbock, Achyut Hegde, Klaus Dietmayer, Vasileios Belagiannis
2023	J	`jnl`	Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles. CoRR Adrian Holzbock, Nicolai Kern, Christian Waldschmidt, Klaus Dietmayer, Vasileios Belagiannis
2023	A	`conf`	Heatmap-based Out-of-Distribution Detection. WACV Julia Hornauer, Vasileios Belagiannis
2023	A	`conf`	Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. IROS Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2023	J	`jnl`	Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction. CoRR Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2023	A	`conf`	Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. WACV Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2023	—	`conf`	Localizing Spatial Information in Neural Spatiospectral Filters. EUSIPCO Annika Briegleb, Thomas Haubner, Vasileios Belagiannis, Walter Kellermann
2023	J	`jnl`	Localizing Spatial Information in Neural Spatiospectral Filters. CoRR Annika Briegleb, Thomas Haubner, Vasileios Belagiannis, Walter Kellermann
2023	J	`jnl`	LongReMix: Robust learning with high confidence samples in a noisy label environment. Pattern Recognit. Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2023	A*	`conf`	Out-of-Distribution Detection for Monocular Depth Estimation. ICCV Julia Hornauer, Adrian Holzbock, Vasileios Belagiannis
2023	J	`jnl`	Out-of-Distribution Detection for Monocular Depth Estimation. CoRR Julia Hornauer, Adrian Holzbock, Vasileios Belagiannis
2023	J	`jnl`	ParticleAugment: Sampling-based data augmentation. Comput. Vis. Image Underst. Alexander Tsaregorodtsev, Vasileios Belagiannis
2023	—	`conf`	Pedestrian Environment Model for Automated Driving. ITSC Adrian Holzbock, Alexander Tsaregorodtsev, Vasileios Belagiannis
2023	J	`jnl`	Pedestrian Environment Model for Automated Driving. CoRR Adrian Holzbock, Alexander Tsaregorodtsev, Vasileios Belagiannis
2023	C	`conf`	RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. IV Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
2023	J	`jnl`	RESET: Revisiting Trajectory Sets for Conditional Behavior Prediction. CoRR Julian Schmidt, Pascal Huissel, Julian Wiederer, Julian Jordan, Vasileios Belagiannis, Klaus Dietmayer
2023	A*	`conf`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2023	J	`jnl`	ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. Pattern Recognit. Ragav Sachdeva, Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2023	—	`conf`	SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. ICCV (Workshops) Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis
2023	J	`jnl`	SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation. CoRR Youssef Dawoud, Gustavo Carneiro, Vasileios Belagiannis
2022	—	`conf`	A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. ITSC Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2022	J	`jnl`	A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories. CoRR Julian Wiederer, Julian Schmidt, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2022	C	`conf`	A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping. IV Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer
2022	J	`jnl`	A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping. CoRR Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer
2022	C	`conf`	A Spatio-Temporal Multilayer Perceptron for Gesture Recognition. IV Adrian Holzbock, Alexander Tsaregorodtsev, Youssef Dawoud, Klaus Dietmayer, Vasileios Belagiannis
2022	J	`jnl`	A Spatio-Temporal Multilayer Perceptron for Gesture Recognition. CoRR Adrian Holzbock, Alexander Tsaregorodtsev, Youssef Dawoud, Klaus Dietmayer, Vasileios Belagiannis
2022	A*	`conf`	ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	J	`jnl`	Edge-Based Self-Supervision for Semi-Supervised Few-Shot Microscopy Image Cell Segmentation. CoRR Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2022	—	`conf`	Edge-Based Self-supervision for Semi-supervised Few-Shot Microscopy Image Cell Segmentation. MOVI@MICCAI Youssef Dawoud, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2022	—	`conf`	Extrinsic Camera Calibration with Semantic Segmentation. ITSC Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz, Vasileios Belagiannis
2022	J	`jnl`	Extrinsic Camera Calibration with Semantic Segmentation. CoRR Alexander Tsaregorodtsev, Johannes Müller, Jan Strohbeck, Martin Herrmann, Michael Buchholz, Vasileios Belagiannis
2022	—	`conf`	Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles. ECCV Workshops (1) Adrian Holzbock, Nicolai Kern, Christian Waldschmidt, Klaus Dietmayer, Vasileios Belagiannis
2022	—	`conf`	Gradient-Based Uncertainty for Monocular Depth Estimation. ECCV (20) Julia Hornauer, Vasileios Belagiannis
2022	J	`jnl`	Gradient-based Uncertainty for Monocular Depth Estimation. CoRR Julia Hornauer, Vasileios Belagiannis
2022	J	`jnl`	Heatmap-based Out-of-Distribution Detection. CoRR Julia Hornauer, Vasileios Belagiannis
2022	J	`jnl`	Knowing What to Label for Few Shot Microscopy Image Cell Segmentation. CoRR Youssef Dawoud, Arij Bouazizi, Katharina Ernst, Gustavo Carneiro, Vasileios Belagiannis
2022	A*	`conf`	Lightweight Monocular Depth Estimation through Guided Decoding. ICRA Michael Rudolph, Youssef Dawoud, Ronja Güldenring, Lazaros Nalpantidis, Vasileios Belagiannis
2022	J	`jnl`	Lightweight Monocular Depth Estimation through Guided Decoding. CoRR Michael Rudolph, Youssef Dawoud, Ronja Güldenring, Lazaros Nalpantidis, Vasileios Belagiannis
2022	J	`jnl`	Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning. CoRR Dung Anh Hoang, Cuong Nguyen, Vasileios Belagiannis, Gustavo Carneiro
2022	—	`conf`	MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. DART@MICCAI Azade Farshad, Anastasia Makarevich, Vasileios Belagiannis, Nassir Navab
2022	A*	`conf`	MotionMixer: MLP-based 3D Human Body Pose Forecasting. IJCAI Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2022	J	`jnl`	MotionMixer: MLP-based 3D Human Body Pose Forecasting. CoRR Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis
2022	A	`conf`	Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. BMVC Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes
2022	J	`jnl`	Multi-Task Edge Prediction in Temporally-Dynamic Video Graphs. CoRR Osman Ülger, Julian Wiederer, Mohsen Ghafoorian, Vasileios Belagiannis, Pascal Mettes
2022	—	`conf`	NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro
2022	A*	`conf`	Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2022	J	`jnl`	Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2022	J	`jnl`	Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2021	J	`jnl`	ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
2021	Misc	`conf`	Anomaly Detection in Multi-Agent Trajectories for Automated Driving. CoRL Julian Wiederer, Arij Bouazizi, Marco Troina, Ulrich Kressel, Vasileios Belagiannis
2021	J	`jnl`	Anomaly Detection in Multi-Agent Trajectories for Automated Driving. CoRR Julian Wiederer, Arij Bouazizi, Marco Troina, Ulrich Kressel, Vasileios Belagiannis
2021	—	`conf`	Attention-based Vehicle Self-Localization with HD Feature Maps. ITSC Nico Engel, Vasileios Belagiannis, Klaus Dietmayer
2021	J	`jnl`	Attention-based Vehicle Self-Localization with HD Feature Maps. CoRR Nico Engel, Vasileios Belagiannis, Klaus Dietmayer
2021	A*	`conf`	Dynamic Occupancy Grid Mapping with Recurrent Neural Networks. ICRA Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer
2021	A	`conf`	EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. WACV Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets. IEEE Trans. Pattern Anal. Mach. Intell. Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso
2021	B	`conf`	Learning Temporal 3D Human Pose Estimation with Pseudo-Labels. AVSS Arij Bouazizi, Ulrich Kressel, Vasileios Belagiannis
2021	J	`jnl`	Learning Temporal 3D Human Pose Estimation with Pseudo-Labels. CoRR Arij Bouazizi, Ulrich Kressel, Vasileios Belagiannis
2021	J	`jnl`	LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment. CoRR Filipe R. Cordeiro, Ragav Sachdeva, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. CoRR Anastasia Makarevich, Azade Farshad, Vasileios Belagiannis, Nassir Navab
2021	J	`jnl`	Noisy Label Learning for Large-scale Medical Image Classification. CoRR Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	—	`conf`	Nonlinearity Modeling for Mixed-Signal Inference Accelerators in Training Frameworks. ICECS Joschua Conrad, Biyi Jiang, Paul Kässer, Vasileios Belagiannis, Maurits Ortmanns
2021	J	`jnl`	ParticleAugment: Sampling-Based Data Augmentation. CoRR Alexander Tsaregorodtsev, Vasileios Belagiannis
2021	J	`jnl`	Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
2021	J	`jnl`	Point Transformer. IEEE Access Nico Engel, Vasileios Belagiannis, Klaus Dietmayer
2021	A	`conf`	PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. BMVC Filipe Rolim Cordeiro, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
2021	J	`jnl`	PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels. CoRR Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning. CoRR Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	B	`conf`	Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry. FG Arij Bouazizi, Julian Wiederer, Ulrich Kressel, Vasileios Belagiannis
2021	J	`jnl`	Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry. CoRR Arij Bouazizi, Julian Wiederer, Ulrich Kressel, Vasileios Belagiannis
2021	—	`conf`	Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. MLMI@MICCAI Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	J	`jnl`	Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification. CoRR Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2021	—	`conf`	Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware. ICCVW Julia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis
2021	J	`jnl`	Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware. CoRR Julia Hornauer, Lazaros Nalpantidis, Vasileios Belagiannis
2020	—	`conf`	Adversarial Signal Denoising with Encoder-Decoder Networks. EUSIPCO Leslie Casas, Attila Klimmek, Nassir Navab, Vasileios Belagiannis
2020	B	`conf`	Deep Learning versus High-order Recurrent Neural Network based Decoding for Convolutional Codes. GLOBECOM Werner G. Teich, Ruiqi Liu, Vasileios Belagiannis
2020	—	`conf`	DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration. ITSC Markus Horn, Nico Engel, Vasileios Belagiannis, Michael Buchholz, Klaus Dietmayer
2020	J	`jnl`	DeepCLR: Correspondence-Less Architecture for Deep End-to-End Point Cloud Registration. CoRR Markus Horn, Nico Engel, Vasileios Belagiannis, Michael Buchholz, Klaus Dietmayer
2020	J	`jnl`	Dynamic Occupancy Grid Mapping with Recurrent Neural Networks. CoRR Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer
2020	J	`jnl`	EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels. CoRR Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
2020	—	`conf`	Few-Shot Microscopy Image Cell Segmentation. ECML/PKDD (5) Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2020	J	`jnl`	Few-Shot Microscopy Image Cell Segmentation. CoRR Youssef Dawoud, Julia Hornauer, Gustavo Carneiro, Vasileios Belagiannis
2020	A*	`conf`	Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks. ICRA Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer
2020	A	`conf`	Multiple Trajectory Prediction with Deep Temporal and Spatial Convolutional Neural Networks. IROS Jan Strohbeck, Vasileios Belagiannis, Johannes Müller, Marcel Schreiber, Martin Herrmann, Daniel Wolf, Michael Buchholz
2020	J	`jnl`	Point Transformer. CoRR Nico Engel, Vasileios Belagiannis, Klaus Dietmayer
2020	J	`jnl`	Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu
2020	A	`conf`	Traffic Control Gesture Recognition for Autonomous Vehicles. IROS Julian Wiederer, Arij Bouazizi, Ulrich Kressel, Vasileios Belagiannis
2020	J	`jnl`	Traffic Control Gesture Recognition for Autonomous Vehicles. CoRR Julian Wiederer, Arij Bouazizi, Ulrich Kressel, Vasileios Belagiannis
2019	—	`conf`	DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. ITSC Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer
2019	J	`jnl`	DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks. CoRR Nico Engel, Stefan Hoermann, Markus Horn, Vasileios Belagiannis, Klaus Dietmayer
2019	J	`jnl`	Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2019	J	`jnl`	Few-Shot Meta-Denoising. CoRR Leslie Casas, Gustavo Carneiro, Nassir Navab, Vasileios Belagiannis
2019	J	`jnl`	Forecasting People Trajectories and Head Poses by Jointly Reasoning on Tracklets and Vislets. CoRR Irtiza Hasan, Francesco Setti, Theodore Tsesmelis, Vasileios Belagiannis, Sikandar Amin, Alessio Del Bue, Marco Cristani, Fabio Galasso
2019	—	`conf`	LACI: Low-effort Automatic Calibration of Infrastructure Sensors. ITSC Johannes Müller, Martin Herrmann, Jan Strohbeck, Vasileios Belagiannis, Michael Buchholz
2019	J	`jnl`	LACI: Low-effort Automatic Calibration of Infrastructure Sensors. CoRR Johannes Müller, Martin Herrmann, Jan Strohbeck, Vasileios Belagiannis, Michael Buchholz
2019	J	`jnl`	Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks. CoRR Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser, Klaus Dietmayer
2018	J	`jnl`	1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2018	—	`conf`	Adversarial Network Compression. ECCV Workshops (4) Vasileios Belagiannis, Azade Farshad, Fabio Galasso
2018	J	`jnl`	Adversarial Network Compression. CoRR Vasileios Belagiannis, Azade Farshad, Fabio Galasso
2018	J	`jnl`	Adversarial Signal Denoising with encoder-decoder networks. CoRR Leslie Casas, Nassir Navab, Vasileios Belagiannis
2018	J	`jnl`	Convolutional neural networks for real-time epileptic seizure detection. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Felix Achilles, Federico Tombari, Vasileios Belagiannis, Anna Mira Loesch, Soheyl Noachtar, Nassir Navab
2018	—	`ed.`	Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings DLMIA/ML-CDS@MICCAI Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2017	—	`ed.`	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017	B	`conf`	Recurrent Human Pose Estimation. FG Vasileios Belagiannis, Andrew Zisserman
2016	J	`jnl`	3D Pictorial Structures Revisited: Multiple Human Pose Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, Slobodan Ilic
2016	J	`jnl`	AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images. IEEE Trans. Medical Imaging Shadi Albarqouni, Christoph Baur, Felix Achilles, Vasileios Belagiannis, Stefanie Demirci, Nassir Navab
2016	J	`jnl`	Automatic 3D reconstruction of electrophysiology catheters from two-view monoplane C-arm image sequences. Int. J. Comput. Assist. Radiol. Surg. Christoph Baur, Fausto Milletari, Vasileios Belagiannis, Nassir Navab, Pascal Fallavollita
2016	—	`ed.`	Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings LABELS/DLMIA@MICCAI Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
2016	—	`conf`	Deeper Depth Prediction with Fully Convolutional Residual Networks. 3DV Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab
2016	J	`jnl`	Deeper Depth Prediction with Fully Convolutional Residual Networks. CoRR Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab
2016	J	`jnl`	Parsing human skeletons in an operating room. Mach. Vis. Appl. 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
2016	J	`jnl`	Real-time localization of articulated surgical instruments in retinal microsurgery. Medical Image Anal. Nicola Rieke, David Joseph Tan, Chiara Amat di San Filippo, Federico Tombari, Mohamed Alsheakhali, Vasileios Belagiannis, Abouzar Eslami, Nassir Navab
2016	J	`jnl`	Recurrent Human Pose Estimation. CoRR Vasileios Belagiannis, Andrew Zisserman
2015	—	`conf`	Anatomic-landmark detection using graphical context modelling. ISBI Lichao Wang, Vasileios Belagiannis, Carsten Marr, Fabian J. Theis, Guang-Zhong Yang, Nassir Navab
2015	—	`conf`	Random ferns for multiple target tracking in microscopic retina image sequences. ISBI Mehmet Yigitsoy, Vasileios Belagiannis, Aleksander Djurka, Amin Katouzian, Slobodan Ilic, Franjo Pernus, Abouzar Eslami, Nassir Navab
2015	C	`conf`	Revisiting Robust Visual Tracking Using Pixel-Wise Posteriors. ICVS Falk Schubert, Daniele Casaburo, Dirk Dickmanns, Vasileios Belagiannis
2015	A*	`conf`	Robust Optimization for Deep Regression. ICCV Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab
2015	J	`jnl`	Robust Optimization for Deep Regression. CoRR Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab
2015	—	`conf`	Surgical Tool Tracking and Pose Estimation in Retinal Microsurgery. MICCAI (1) Nicola Rieke, David Joseph Tan, Mohamed Alsheakhali, Federico Tombari, Chiara Amat di San Filippo, Vasileios Belagiannis, Abouzar Eslami, Nassir Navab
2014	A*	`conf`	3D Pictorial Structures for Multiple Human Pose Estimation. CVPR Vasileios Belagiannis, Sikandar Amin, Mykhaylo Andriluka, Bernt Schiele, Nassir Navab, Slobodan Ilic
2014	—	`conf`	Fully Automatic Catheter Localization in C-Arm Images Using ℓ1-Sparse Coding. MICCAI (2) Fausto Milletari, Vasileios Belagiannis, Nassir Navab, Pascal Fallavollita
2014	—	`conf`	Holistic Human Pose Estimation with Regression Forests. AMDO Vasileios Belagiannis, Christian Amann, Nassir Navab, Slobodan Ilic
2014	—	`conf`	Multiple Human Pose Estimation with Temporally Consistent 3D Pictorial Structures. ECCV Workshops (1) Vasileios Belagiannis, Xinchao Wang, Bernt Schiele, Pascal Fua, Slobodan Ilic, Nassir Navab
2012	—	`conf`	Segmentation Based Particle Filtering for Real-Time 2D Object Tracking. ECCV (4) Vasileios Belagiannis, Falk Schubert, Nassir Navab, Slobodan Ilic
2009	—	`conf`	The Vision System of the ACROBOTER Project. ICIRA Rigas Kouskouridas, Nikolaos Kyriakoulis, Dimitrios Chrysostomou, Vasileios Belagiannis, Spyridon G. Mouroutsos, Antonios Gasteratos