Bert De Brabandere

According to our database, Bert De Brabandere authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting.

Wouter Van Gansbeke, Bert De Brabandere

Proceedings of the Computer Vision - ECCV 2024, 2024

2021

Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty.

Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Branched Multi-Task Networks: Deciding what layers to share.

Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Branched Multi-Task Networks: Deciding What Layers To Share.

Simon Vandenhende, Bert De Brabandere, Luc Van Gool

CoRR, 2019

A Three-Player GAN: Generating Hard Samples to Improve Classification Networks.

Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty.

Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool

Proceedings of the 16th International Conference on Machine Vision Applications, 2019

End-to-end Lane Detection through Differentiable Least-Squares Fitting.

Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth.

Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks.

Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Towards End-to-End Lane Detection: an Instance Segmentation Approach.

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

2017

Semantic Instance Segmentation with a Discriminative Loss Function.

Bert De Brabandere, Davy Neven, Luc Van Gool

CoRR, 2017

Fast Scene Understanding for Autonomous Driving.

Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool

CoRR, 2017

Semantic Instance Segmentation for Autonomous Driving.

Bert De Brabandere, Davy Neven, Luc Van Gool

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Dynamic Steerable Blocks in Deep Residual Networks.

Jörn-Henrik Jacobsen, Bert De Brabandere, Arnold W. M. Smeulders

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Energy-efficient ConvNets through approximate computing.

Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Dynamic Filter Networks.

Xu Jia, Bert De Brabandere, Tinne Tuytelaars, Luc Van Gool

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016