Georgoulis, Stamatios

20 publications

ECCVW 2022 Event-Based Image Deblurring with Dynamic Motion Awareness Patricia Vitoria, Stamatios Georgoulis, Stepan Tulyakov, Alfredo Bochicchio, Julius Erbach, Yuanyou Li
CVPRW 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
CVPR 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
AISTATS 2021 Spectral Tensor Train Parameterization of Deep Learning Layers Anton Obukhov, Maxim Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
ICCV 2021 Exploring Relational Context for Multi-Task Dense Prediction David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool
CVPR 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
NeurIPS 2021 Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc V Gool
CVPR 2021 Time Lens: Event-Based Video Frame Interpolation Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza
ICCV 2021 Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
ICLR 2020 Branched Multi-Task Networks: Deciding What Layers to Share Simon Vandenhende, Stamatios Georgoulis, Bert De Brabandere, Luc Van Gool
CVPRW 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
ECCV 2020 MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool
ECCV 2020 Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool
ECCV 2020 SCAN: Learning to Classify Images Without Labels Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
ICML 2020 T-Basis: A Compact Representation for Neural Networks Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
ICLR 2019 Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
CVPRW 2018 Error Correction for Dense Semantic Image Labeling Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool
WACV 2017 Material Classification Under Natural Illumination Using Reflectance Maps Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool
ICCV 2017 What Is Around the Camera? Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
ICCV 2015 A Gaussian Process Latent Variable Model for BRDF Inference Stamatios Georgoulis, Vincent Vanweddingen, Marc Proesmans, Luc Van Gool