Bert De Brabandere

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Scene Understanding

Semantic Segmentation

Convex Loss Functions

Top Venues

Publications

Wouter Van Gansbeke, Bert De Brabandere
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting. CoRR (2024)
Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty. CoRR (2021)
Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty. ICCVW (2021)
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere
Branched Multi-Task Networks: Deciding what layers to share. BMVC (2020)
Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool
Sparse and noisy LiDAR completion with RGB guidance and uncertainty. CoRR (2019)
Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool
End-to-end Lane Detection through Differentiable Least-Squares Fitting. CoRR (2019)
Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. CVPR (2019)
Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool
A Three-Player GAN: Generating Hard Samples to Improve Classification Networks. MVA (2019)
Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. CoRR (2019)
Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool
Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty. MVA (2019)
Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks. CoRR (2019)
Simon Vandenhende, Bert De Brabandere, Luc Van Gool
Branched Multi-Task Networks: Deciding What Layers To Share. CoRR (2019)
Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool
End-to-end Lane Detection through Differentiable Least-Squares Fitting. ICCV Workshops (2019)
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Towards End-to-End Lane Detection: an Instance Segmentation Approach. CoRR (2018)
Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks. WACV (2018)
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Towards End-to-End Lane Detection: an Instance Segmentation Approach. Intelligent Vehicles Symposium (2018)
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
Fast Scene Understanding for Autonomous Driving. CoRR (2017)
Bert De Brabandere, Davy Neven, Luc Van Gool
Semantic Instance Segmentation with a Discriminative Loss Function. CoRR (2017)
Bert De Brabandere, Davy Neven, Luc Van Gool
Semantic Instance Segmentation for Autonomous Driving. CVPR Workshops (2017)
Jörn-Henrik Jacobsen, Bert De Brabandere, Arnold W. M. Smeulders
Dynamic Steerable Blocks in Deep Residual Networks. BMVC (2017)
Jörn-Henrik Jacobsen, Bert De Brabandere, Arnold W. M. Smeulders
Dynamic Steerable Blocks in Deep Residual Networks. CoRR (2017)
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, Luc Van Gool
Dynamic Filter Networks. NIPS (2016)
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
Energy-efficient ConvNets through approximate computing. WACV (2016)
Bert De Brabandere, Xu Jia, Tinne Tuytelaars, Luc Van Gool
Dynamic Filter Networks. CoRR (2016)
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
Energy-Efficient ConvNets Through Approximate Computing. CoRR (2016)