Stamatios Georgoulis

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 53

Top Venues

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Stamatios Georgoulis, Weining Ren, Alfredo Bochicchio, Daniel Eckert, Yuanyou Li, Abel Gawel
Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes. 3DV (2024)
Stamatios Georgoulis, Weining Ren, Alfredo Bochicchio, Daniel Eckert, Yuanyou Li, Abel Gawel
Out of the Room: Generalizing Event-Based Dynamic Motion Segmentation for Complex Scenes. CoRR (2024)
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion. CoRR (2022)
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CoRR (2022)
Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. CoRR (2022)
Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig, Stepan Tulyakov, Julius Erbach, Alfredo Bochicchio, Yuanyou Li, Davide Scaramuzza
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CVPR Workshops (2022)
Patricia Vitoria, Stamatios Georgoulis, Stepan Tulyakov, Alfredo Bochicchio, Julius Erbach, Yuanyou Li
Event-Based Image Deblurring with Dynamic Motion Awareness. ECCV Workshops (5) (2022)
Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Patricia Vitoria, Stamatios Georgoulis, Stepan Tulyakov, Alfredo Bochicchio, Julius Erbach, Yuanyou Li
Event-based Image Deblurring with Dynamic Motion Awareness. CoRR (2022)
Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza
Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion. CVPR (2022)
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. CoRR (2021)
David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
Exploring Relational Context for Multi-Task Dense Prediction. ICCV (2021)
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
Time Lens: Event-Based Video Frame Interpolation. CVPR (2021)
Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. IEEE Robotics Autom. Lett. 6 (3) (2021)
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation. CoRR (2021)
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. NeurIPS (2021)
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS (2021)
Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR (2021)
Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
TimeLens: Event-based Video Frame Interpolation. CoRR (2021)
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. CoRR (2021)
David Bruggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
Exploring Relational Context for Multi-Task Dense Prediction. CoRR (2021)
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. ICCV (2021)
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR (2021)
Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR (2020)
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Learning To Classify Images Without Labels. CoRR (2020)
Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
T-Basis: a Compact Representation for Neural Networks. CoRR (2020)
Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
T-Basis: a Compact Representation for Neural Networks. ICML (2020)
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning. ECCV (4) (2020)
Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CVPR Workshops (2020)
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning. CoRR (2020)
Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) (2020)
David Bruggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool
Automated Search for Resource-Efficient Branched Multi-Task Networks. BMVC (2020)
Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
SCAN: Learning to Classify Images Without Labels. ECCV (10) (2020)
David Bruggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool
Automated Search for Resource-Efficient Branched Multi-Task Networks. CoRR (2020)
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere
Branched Multi-Task Networks: Deciding what layers to share. BMVC (2020)
Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool
Revisiting Multi-Task Learning in the Deep Learning Era. CoRR (2020)
Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel, Luc Van Gool
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CoRR (2019)
Yu-Hui Huang, Marc Proesmans, Stamatios Georgoulis, Luc Van Gool
Uncertainty based model selection for fast semantic segmentation. MVA (2019)
Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. ICLR (Poster) (2019)
Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
Error Correction for Dense Semantic Image Labeling. CVPR Workshops (2018)
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Towards End-to-End Lane Detection: an Instance Segmentation Approach. CoRR (2018)
Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz
Disentangled Person Image Generation. CVPR (2018)
Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
Exemplar Guided Unsupervised Image-to-Image Translation. CoRR (2018)
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40 (8) (2018)
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Towards End-to-End Lane Detection: an Instance Segmentation Approach. Intelligent Vehicles Symposium (2018)
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Fast Scene Understanding for Autonomous Driving. CoRR (2017)
Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
Error Correction for Dense Semantic Image Labeling. CoRR (2017)
Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz
Disentangled Person Image Generation. CoRR (2017)
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
What is Around the Camera? ICCV (2017)
Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool
Material Classification under Natural Illumination Using Reflectance Maps. WACV (2017)
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
Natural Illumination from Multiple Materials Using Deep Learning. CoRR (2016)
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Luc Van Gool, Tinne Tuytelaars
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination. CoRR (2016)
Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool
A Gaussian Process Latent Variable Model for BRDF Inference. ICCV (2015)
Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Tackling Shapes and BRDFs Head-On. 3DV (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stamatios Georgoulis