Stamatios Georgoulis
Stamatios Georgoulis
ETH Zurich, Department of Information Technology and Electrical Engineering
Verified email at vision.ee.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Disentangled person image generation
L Ma, Q Sun, S Georgoulis, L Van Gool, B Schiele, M Fritz
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2342018
Towards end-to-end lane detection: an instance segmentation approach
D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool
2018 IEEE intelligent vehicles symposium (IV), 286-291, 2018
1502018
Exemplar guided unsupervised image-to-image translation with semantic consistency
L Ma, X Jia, S Georgoulis, T Tuytelaars, L Van Gool
arXiv preprint arXiv:1805.11145, 2018
552018
What Is Around The Camera?
S Georgoulis, K Rematas, T Ritschel, M Fritz, T Tuytelaars, L Van Gool
Proceedings of the IEEE International Conference on Computer Vision, 5170-5178, 2017
402017
Reflectance and natural illumination from single-material specular objects using deep learning
S Georgoulis, K Rematas, T Ritschel, E Gavves, M Fritz, L Van Gool, ...
IEEE transactions on pattern analysis and machine intelligence 40 (8), 1932-1947, 2017
372017
Fast scene understanding for autonomous driving
D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool
arXiv preprint arXiv:1708.02550, 2017
362017
Delight-net: Decomposing reflectance maps into specular materials and natural illumination
S Georgoulis, K Rematas, T Ritschel, M Fritz, L Van Gool, T Tuytelaars
arXiv preprint arXiv:1603.08240, 2016
242016
Branched Multi-Task Networks: Deciding What Layers To Share
S Vandenhende, S Georgoulis, B De Brabandere, L Van Gool
arXiv preprint arXiv:1904.02920, 2019
182019
Epione: An Innovative Pain Management System Using Facial Expression Analysis, Biofeedback and Augmented Reality-Based Distraction
S Georgoulis, S Eleftheriadis, D Tzionas, K Vrenas, P Petrantonakis, ...
Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd …, 2010
102010
SCAN: Learning to classify images without labels
W Van Gansbeke, S Vandenhende, S Georgoulis, M Proesmans, ...
Proceedings of the European Conference on Computer Vision, 2020
7*2020
Material classification under natural illumination using reflectance maps
S Georgoulis, V Vanweddingen, M Proesmans, L Van Gool
2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 244-253, 2017
72017
A gaussian process latent variable model for brdf inference
S Georgoulis, V Vanweddingen, M Proesmans, L Van Gool
Proceedings of the IEEE International Conference on Computer Vision, 3559-3567, 2015
72015
Tackling shapes and brdfs head-on
S Georgoulis, M Proesmans, L Van Gool
3D Vision (3DV), 2014 2nd International Conference on 1, 267-274, 2014
72014
Error correction for dense semantic image labeling
YH Huang, X Jia, S Georgoulis, T Tuytelaars, L Van Gool
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
62018
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning
S Vandenhende, S Georgoulis, L Van Gool
arXiv preprint arXiv:2001.06902, 2020
52020
Revisiting Multi-Task Learning in the Deep Learning Era
S Vandenhende, S Georgoulis, M Proesmans, D Dai, L Van Gool
arXiv preprint arXiv:2004.13379, 2020
42020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
M Kanakis, D Bruggemann, S Saha, S Georgoulis, A Obukhov, ...
European Conference on Computer Vision, 689-707, 2020
12020
T-basis: a compact representation for neural networks
A Obukhov, M Rakhuba, S Georgoulis, M Kanakis, D Dai, L Van Gool
arXiv preprint arXiv:2007.06631, 2020
12020
Uncertainty based model selection for fast semantic segmentation
YH Huang, M Proesmans, S Georgoulis, L Van Gool
2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019
12019
Automated Search for Resource-Efficient Branched Multi-Task Networks
D Bruggemann, M Kanakis, S Georgoulis, L Van Gool
arXiv preprint arXiv:2008.10292, 2020
2020
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Articles 1–20