| 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 | 258 | 2018 |
| 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 | 181 | 2018 |
| 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 | 66* | 2017 |
| 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 | 60 | 2018 |
| Fast scene understanding for autonomous driving D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool arXiv preprint arXiv:1708.02550, 2017 | 45 | 2017 |
| 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 | 40* | 2017 |
| 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 | 25 | 2019 |
| 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 | 20* | 2020 |
| Mti-net: Multi-scale task interaction networks for multi-task learning S Vandenhende, S Georgoulis, L Van Gool European Conference on Computer Vision, 527-543, 2020 | 11 | 2020 |
| 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 | 10 | 2010 |
| 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 | 9 | 2014 |
| 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, 2021 | 8* | 2021 |
| 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 | 7 | 2018 |
| 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 | 7 | 2017 |
| 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 | 7 | 2015 |
| Automated Search for Resource-Efficient Branched Multi-Task Networks D Bruggemann, M Kanakis, S Georgoulis, L Van Gool arXiv preprint arXiv:2008.10292, 2020 | 2 | 2020 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 1 | 2020 |
| 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 | 1 | 2020 |
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
