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Stamatios Georgoulis
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2020 – today
- 2024
- [c27]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: 442-452 - [i25]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 abs/2403.04562 (2024) - 2022
- [j3]Simon Vandenhende
, Stamatios Georgoulis
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3614-3633 (2022) - [c26]Nico Messikommer
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CVPR Workshops 2022: 546-556 - [c25]Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig
Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion. CVPR 2022: 17734-17743 - [c24]Patricia Vitoria
Event-Based Image Deblurring with Dynamic Motion Awareness. ECCV Workshops (5) 2022: 95-112 - [i24]Nico Messikommer, Stamatios Georgoulis, Daniel Gehrig
Multi-Bracket High Dynamic Range Imaging with Event Cameras. CoRR abs/2203.06622 (2022) - [i23]Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig
Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion. CoRR abs/2203.17191 (2022) - [i22]Liqian Ma, Stamatios Georgoulis, Xu Jia, Luc Van Gool:
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. CoRR abs/2204.01267 (2022) - [i21]Patricia Vitoria, Stamatios Georgoulis, Stepan Tulyakov, Alfredo Bochicchio, Julius Erbach, Yuanyou Li:
Event-based Image Deblurring with Dynamic Motion Awareness. CoRR abs/2208.11398 (2022) - 2021
- [j2]Liqian Ma
FoV-Net: Field-of-View Extrapolation Using Self-Attention and Uncertainty. IEEE Robotics Autom. Lett. 6(3): 4321-4328 (2021) - [c23]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: 3547-3555 - [c22]Suman Saha, Anton Obukhov, Danda Pani Paudel
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. CVPR 2021: 8197-8207 - [c21]Stepan Tulyakov, Daniel Gehrig
Time Lens: Event-Based Video Frame Interpolation. CVPR 2021: 16155-16164 - [c20]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. ICCV 2021: 10032-10042 - [c19]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. ICCV 2021: 15849-15858 - [c18]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. NeurIPS 2021: 16238-16250 - [i20]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. CoRR abs/2102.06191 (2021) - [i19]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 abs/2103.04217 (2021) - [i18]David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool:
Exploring Relational Context for Multi-Task Dense Prediction. CoRR abs/2104.13874 (2021) - [i17]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 abs/2105.07830 (2021) - [i16]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. CoRR abs/2106.05967 (2021) - [i15]Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza:
TimeLens: Event-based Video Frame Interpolation. CoRR abs/2106.07286 (2021) - 2020
- [c17]David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. BMVC 2020 - [c16]Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere:
Branched Multi-Task Networks: Deciding what layers to share. BMVC 2020 - [c15]Suman Saha, Wenhao Xu, Menelaos Kanakis, Stamatios Georgoulis, Yuhua Chen, Danda Pani Paudel
Domain Agnostic Feature Learning for Image and Video Based Face Anti-spoofing. CVPR Workshops 2020: 3490-3499 - [c14]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
SCAN: Learning to Classify Images Without Labels. ECCV (10) 2020: 268-285 - [c13]Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
MTI-Net: Multi-scale Task Interaction Networks for Multi-task Learning. ECCV (4) 2020: 527-543 - [c12]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning Without Task Interference. ECCV (20) 2020: 689-707 - [c11]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. ICML 2020: 7392-7404 - [i14]Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool:
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning. CoRR abs/2001.06902 (2020) - [i13]Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Revisiting Multi-Task Learning in the Deep Learning Era. CoRR abs/2004.13379 (2020) - [i12]Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Learning To Classify Images Without Labels. CoRR abs/2005.12320 (2020) - [i11]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. CoRR abs/2007.06631 (2020) - [i10]Menelaos Kanakis, David Brüggemann, Suman Saha, Stamatios Georgoulis, Anton Obukhov, Luc Van Gool:
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference. CoRR abs/2007.12540 (2020) - [i9]David Brüggemann, Menelaos Kanakis, Stamatios Georgoulis, Luc Van Gool:
Automated Search for Resource-Efficient Branched Multi-Task Networks. CoRR abs/2008.10292 (2020)
2010 – 2019
- 2019
- [c10]Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency. ICLR (Poster) 2019 - [c9]Yu-Hui Huang, Marc Proesmans, Stamatios Georgoulis, Luc Van Gool:
Uncertainty based model selection for fast semantic segmentation. MVA 2019: 1-6 - [i8]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 abs/1912.07124 (2019) - 2018
- [j1]Stamatios Georgoulis
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1932-1947 (2018) - [c8]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele
Disentangled Person Image Generation. CVPR 2018: 99-108 - [c7]Yu-Hui Huang
Error Correction for Dense Semantic Image Labeling. CVPR Workshops 2018: 998-1006 - [c6]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: 286-291 - [i7]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Towards End-to-End Lane Detection: an Instance Segmentation Approach. CoRR abs/1802.05591 (2018) - [i6]Liqian Ma, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Exemplar Guided Unsupervised Image-to-Image Translation. CoRR abs/1805.11145 (2018) - 2017
- [b1]Stamatios Georgoulis:
Extraction of Surface Characteristics and Lighting in 3D Reconstruction from Uncalibrated Images (Extractie van oppervlaktekarakteristieken en belichting bij 3D reconstructie vanuit ongecalibreerde afbeeldingen). Katholieke Universiteit Leuven, Belgium, 2017 - [c5]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
What is Around the Camera? ICCV 2017: 5180-5188 - [c4]Stamatios Georgoulis, Vincent Vanweddingen
Material Classification under Natural Illumination Using Reflectance Maps. WACV 2017: 244-253 - [i5]Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Fast Scene Understanding for Autonomous Driving. CoRR abs/1708.02550 (2017) - [i4]Liqian Ma, Qianru Sun, Stamatios Georgoulis, Luc Van Gool, Bernt Schiele, Mario Fritz:
Disentangled Person Image Generation. CoRR abs/1712.02621 (2017) - [i3]Yu-Hui Huang, Xu Jia, Stamatios Georgoulis, Tinne Tuytelaars, Luc Van Gool:
Error Correction for Dense Semantic Image Labeling. CoRR abs/1712.03812 (2017) - 2016
- [i2]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 abs/1603.08240 (2016) - [i1]Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool:
Natural Illumination from Multiple Materials Using Deep Learning. CoRR abs/1611.09325 (2016) - 2015
- [c3]Stamatios Georgoulis, Vincent Vanweddingen
A Gaussian Process Latent Variable Model for BRDF Inference. ICCV 2015: 3559-3567 - 2014
- [c2]Stamatios Georgoulis, Marc Proesmans, Luc Van Gool:
Tackling Shapes and BRDFs Head-On. 3DV 2014: 267-274 - 2010
- [c1]Stamatios Georgoulis, Stefanos Eleftheriadis, Dimitris Tzionas, Konstantinos Vrenas, Panagiotis Petrantonakis, Leontios J. Hadjileontiadis
Epione: An Innovative Pain Management System Using Facial Expression Analysis, Biofeedback and Augmented Reality-Based Distraction. INCoS 2010: 259-266
Coauthor Index
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last updated on 2024-11-18 20:46 CET by the dblp team
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