| 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 | 911 | 2018 |
| Semantic instance segmentation with a discriminative loss function B De Brabandere, D Neven, L Van Gool arXiv preprint arXiv:1708.02551, 2017 | 658* | 2017 |
| Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth D Neven, BD Brabandere, M Proesmans, LV Gool Proceedings of the IEEE/cvf conference on computer vision and pattern …, 2019 | 305 | 2019 |
| Sparse and noisy lidar completion with rgb guidance and uncertainty W Van Gansbeke, D Neven, B De Brabandere, L Van Gool 2019 16th international conference on machine vision applications (MVA), 1-6, 2019 | 304 | 2019 |
| End-to-end lane detection through differentiable least-squares fitting W Van Gansbeke, B De Brabandere, D Neven, M Proesmans, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 136 | 2019 |
| Fast scene understanding for autonomous driving D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool arXiv preprint arXiv:1708.02550, 2017 | 91 | 2017 |
| Classification-driven dynamic image enhancement V Sharma, A Diba, D Neven, MS Brown, L Van Gool, R Stiefelhagen Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 79 | 2018 |
| A three-player gan: generating hard samples to improve classification networks S Vandenhende, B De Brabandere, D Neven, L Van Gool 2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019 | 30 | 2019 |
| End-to-end lane detection through differentiable least-squares fitting B De Brabandere, W Van Gansbeke, D Neven, M Proesmans, L Van Gool arXiv preprint arXiv:1902.00293, 2019 | 12 | 2019 |
| Weakly-supervised semantic segmentation by learning label uncertainty R Neven, D Neven, B De Brabandere, M Proesmans, T Goedemé Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 6 | 2021 |
| IEEE intelligent vehicles symposium (IV), 2018 D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool Search PubMed, 286-291, 2018 | 3 | 2018 |
| Method and system for processing a plurality of images so as to detect lanes on a road K Tamura, H Shimizu, M Proesmans, F Verbiest, J Heylen, B Dawagne, ... US Patent 11,900,696, 2024 | 2 | 2024 |
| System and method for generating a mask for object instances in an image W Abbeloos, D Neven, B De Brabandere, M Proesmans, L Van Gool US Patent App. 17/423,287, 2022 | 1 | 2022 |
| Object-Centric Street Scene Synthesis with Generative Adversarial Networks M Van den Abeele, D Neven, B De Brabandere, M Proesmans, ... 2020 IEEE 20th Mediterranean Electrotechnical Conference (MELECON), 665-671, 2020 | 1 | 2020 |
| Method and system for processing an image and performing instance segmentation using affinity graphs H Shimizu, B De Brabandere, D Neven, M Proesmans, L Van Gool US Patent 11,881,016, 2024 | | 2024 |
| Proposal-Free Instance Segmentation Algorithms and Applications for Autonomous Vehicles D Neven KULeuven, 2021 | | 2021 |
| METHOD AND SYSTEM FOR LEARNING A NEURAL NETWORK TO BE USED FOR SEMANTIC INSTANCE SEGMENTATION H Shimizu, D NEVEN, B DE BRABANDERE, L Van Gool, M PROESMANS, ... | | 2019 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEПотвърден имейл адрес: insait.ai
