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Bert De Brabandere
Bert De Brabandere
Verified email at esat.kuleuven.be
Title
Cited by
Cited by
Year
Dynamic Filter Networks
B De Brabandere, X Jia, T Tuytelaars, LV Gool
Advances In Neural Information Processing Systems, 667-675, 2016
1090*2016
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
7812018
Semantic instance segmentation with a discriminative loss function
B De Brabandere, D Neven, L Van Gool
arXiv preprint arXiv:1708.02551, 2017
595*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
2882019
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
2792019
Energy-efficient convnets through approximate computing
B Moons, B De Brabandere, L Van Gool, M Verhelst
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-8, 2016
1352016
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
1332019
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
1312019
Fast scene understanding for autonomous driving
D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool
arXiv preprint arXiv:1708.02550, 2017
832017
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
282019
Dynamic steerable blocks in deep residual networks
JH Jacobsen, B De Brabandere, AWM Smeulders
arXiv preprint arXiv:1706.00598, 2017
282017
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks
J Heylen, S Iven, B De Brabandere, J Oramas, L Van Gool, T Tuytelaars
IEEE Winter Conference on Applications in Computer Vision, 2018
122018
End-to-end lane detection through differentiable least-squares fitting
BD Brabandere, WV Gansbeke, D Neven, M Proesmans, LV Gool
Computer Science, 2019
112019
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
32021
Dynamic filter networks for predicting unobserved views
X Jia, B De Brabandere, T Tuytelaars, L Van Gool
Proceedings ECCV 2016 workshops, 1-2, 2016
32016
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
12022
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
12020
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
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting
W Van Gansbeke, B De Brabandere
arXiv preprint arXiv:2401.10227, 2024
2024
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
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