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Stamatios Georgoulis
Stamatios Georgoulis
Huawei Zurich Research Center
Подтвержден адрес электронной почты в домене huawei.com
Название
Процитировано
Процитировано
Год
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
7122018
Multi-task learning for dense prediction tasks: A survey
S Vandenhende, S Georgoulis, W Van Gansbeke, M Proesmans, D Dai, ...
IEEE transactions on pattern analysis and machine intelligence 44 (7), 3614-3633, 2021
562*2021
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
4822018
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
4372020
Unsupervised semantic segmentation by contrasting object mask proposals
W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2052021
Mti-net: Multi-scale task interaction networks for multi-task learning
S Vandenhende, S Georgoulis, L Van Gool
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1792020
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
1392018
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
1222019
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
118*2017
Time lens: Event-based video frame interpolation
S Tulyakov, D Gehrig, S Georgoulis, J Erbach, M Gehrig, Y Li, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1062021
Fast scene understanding for autonomous driving
D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool
arXiv preprint arXiv:1708.02550, 2017
812017
Reparameterizing convolutions for incremental multi-task learning without task interference
M Kanakis, D Bruggemann, S Saha, S Georgoulis, A Obukhov, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
572020
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
572017
Time lens++: Event-based frame interpolation with parametric non-linear flow and multi-scale fusion
S Tulyakov, A Bochicchio, D Gehrig, S Georgoulis, Y Li, D Scaramuzza
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
462022
Revisiting contrastive methods for unsupervised learning of visual representations
W Van Gansbeke, S Vandenhende, S Georgoulis, LV Gool
Advances in Neural Information Processing Systems 34, 16238-16250, 2021
462021
Automated search for resource-efficient branched multi-task networks
D Bruggemann, M Kanakis, S Georgoulis, L Van Gool
arXiv preprint arXiv:2008.10292, 2020
452020
Exploring relational context for multi-task dense prediction
D Brüggemann, M Kanakis, A Obukhov, S Georgoulis, L Van Gool
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
422021
Learning to relate depth and semantics for unsupervised domain adaptation
S Saha, A Obukhov, DP Paudel, M Kanakis, Y Chen, S Georgoulis, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
392021
Domain agnostic feature learning for image and video based face anti-spoofing
S Saha, W Xu, M Kanakis, S Georgoulis, Y Chen, DP Paudel, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
372020
T-basis: a compact representation for neural networks
A Obukhov, M Rakhuba, S Georgoulis, M Kanakis, D Dai, L Van Gool
International Conference on Machine Learning, 7392-7404, 2020
252020
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