Stamatios Georgoulis

According to our database, Stamatios Georgoulis authored at least 38 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes.

Stamatios Georgoulis, Weining Ren, Alfredo Bochicchio, Daniel Eckert, Yuanyou Li, Abel Gawel

CoRR, 2024

2022

Multi-Task Learning for Dense Prediction Tasks: A Survey.

Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion.

Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza

CoRR, 2022

Event-Based Image Deblurring with Dynamic Motion Awareness.

Patricia Vitoria, Stamatios Georgoulis, Stepan Tulyakov, Alfredo Bochicchio, Julius Erbach, Yuanyou Li

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion.

Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-Bracket High Dynamic Range Imaging with Event Cameras.

Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty.

Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool

IEEE Robotics Autom. Lett., 2021

TimeLens: Event-based Video Frame Interpolation.

Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza

CoRR, 2021

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations.

Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals.

Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Exploring Relational Context for Multi-Task Dense Prediction.

David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Time Lens: Event-Based Video Frame Interpolation.

Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation.

Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spectral Tensor Train Parameterization of Deep Learning Layers.

Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning To Classify Images Without Labels.

Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

CoRR, 2020

Revisiting Multi-Task Learning in the Deep Learning Era.

Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool

CoRR, 2020

T-Basis: a Compact Representation for Neural Networks.

Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool

Proceedings of the 37th International Conference on Machine Learning, 2020

MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning.

Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020

Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference.

Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020

SCAN: Learning to Classify Images Without Labels.

Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2020, 2020

Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing.

Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Branched Multi-Task Networks: Deciding what layers to share.

Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Automated Search for Resource-Efficient Branched Multi-Task Networks.

David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Uncertainty based model selection for fast semantic segmentation.

Yu-Hui Huang, Marc Proesmans, Stamatios Georgoulis, Luc Van Gool

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency.

Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning.

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Exemplar Guided Unsupervised Image-to-Image Translation.

Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool

CoRR, 2018

Towards End-to-End Lane Detection: an Instance Segmentation Approach.

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Disentangled Person Image Generation.

Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Error Correction for Dense Semantic Image Labeling.

Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

Extraction of Surface Characteristics and Lighting in 3D Reconstruction from Uncalibrated Images (Extractie van oppervlaktekarakteristieken en belichting bij 3D reconstructie vanuit ongecalibreerde afbeeldingen).

Stamatios Georgoulis

PhD thesis, 2017

Fast Scene Understanding for Autonomous Driving.

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

CoRR, 2017

Material Classification under Natural Illumination Using Reflectance Maps.

Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

What is Around the Camera?

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Natural Illumination from Multiple Materials Using Deep Learning.

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool

CoRR, 2016

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination.

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Luc Van Gool, Tinne Tuytelaars

CoRR, 2016

2015

A Gaussian Process Latent Variable Model for BRDF Inference.

Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Tackling Shapes and BRDFs Head-On.

Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

Proceedings of the 2nd International Conference on 3D Vision, 2014