Bert De Brabandere

26 papers A* 1A 4B 1Misc 2Journal 13Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting.
ECCV (15)
Wouter Van Gansbeke, Bert De Brabandere
2024 J jnl
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting.
CoRR
Wouter Van Gansbeke, Bert De Brabandere
2021 — conf
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty.
ICCVW
Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé
2021 J jnl
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty.
CoRR
Robby Neven, Davy Neven, Bert De Brabandere, Marc Proesmans, Toon Goedemé
2020 A conf
Branched Multi-Task Networks: Deciding what layers to share.
BMVC
Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere
2019 J jnl
A Three-Player GAN: Generating Hard Samples To Improve Classification Networks.
CoRR
Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool
2019 Misc conf
A Three-Player GAN: Generating Hard Samples to Improve Classification Networks.
MVA
Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool
2019 J jnl
Branched Multi-Task Networks: Deciding What Layers To Share.
CoRR
Simon Vandenhende, Bert De Brabandere, Luc Van Gool
2019 — conf
End-to-end Lane Detection through Differentiable Least-Squares Fitting.
ICCV Workshops
Wouter Van Gansbeke, Bert De Brabandere, Davy Neven, Marc Proesmans, Luc Van Gool
2019 J jnl
End-to-end Lane Detection through Differentiable Least-Squares Fitting.
CoRR
Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool
2019 A* conf
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth.
CVPR
Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool
2019 J jnl
Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth.
CoRR
Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool
2019 Misc conf
Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty.
MVA
Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool
2019 J jnl
Sparse and noisy LiDAR completion with RGB guidance and uncertainty.
CoRR
Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool
2018 A conf
From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks.
WACV
Jonas Heylen, Seppe Iven, Bert De Brabandere, José Oramas M., Luc Van Gool, Tinne Tuytelaars
2018 B conf
Towards End-to-End Lane Detection: an Instance Segmentation Approach.
Intelligent Vehicles Symposium
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
2018 J jnl
Towards End-to-End Lane Detection: an Instance Segmentation Approach.
CoRR
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
2017 A conf
Dynamic Steerable Blocks in Deep Residual Networks.
BMVC
Jörn-Henrik Jacobsen, Bert De Brabandere, Arnold W. M. Smeulders
2017 J jnl
Dynamic Steerable Blocks in Deep Residual Networks.
CoRR
Jörn-Henrik Jacobsen, Bert De Brabandere, Arnold W. M. Smeulders
2017 J jnl
Fast Scene Understanding for Autonomous Driving.
CoRR
Davy Neven, Bert De Brabandere, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool
2017 — conf
Semantic Instance Segmentation for Autonomous Driving.
CVPR Workshops
Bert De Brabandere, Davy Neven, Luc Van Gool
2017 J jnl
Semantic Instance Segmentation with a Discriminative Loss Function.
CoRR
Bert De Brabandere, Davy Neven, Luc Van Gool
2016 — conf
Dynamic Filter Networks.
NIPS
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, Luc Van Gool
2016 J jnl
Dynamic Filter Networks.
CoRR
Bert De Brabandere, Xu Jia, Tinne Tuytelaars, Luc Van Gool
2016 J jnl
Energy-Efficient ConvNets Through Approximate Computing.
CoRR
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst
2016 A conf
Energy-efficient ConvNets through approximate computing.
WACV
Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst