Dynamic Filter Networks. - Xu Jia 012; Bert De Brabandere; Tinne Tuytelaars; Luc Van Gool (NIPS, 2016)

Energy-efficient ConvNets through approximate computing. - Bert Moons; Bert De Brabandere; Luc Van Gool; Marian Verhelst (WACV, 2016)

Dynamic Steerable Blocks in Deep Residual Networks. - Jörn-Henrik Jacobsen; Bert De Brabandere; Arnold W. M. Smeulders (BMVC, 2017)

Semantic Instance Segmentation for Autonomous Driving. - Bert De Brabandere; Davy Neven; Luc Van Gool (CVPR Workshops, 2017)

Fast Scene Understanding for Autonomous Driving. - Davy Neven; Bert De Brabandere; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (CoRR, 2017)

Semantic Instance Segmentation with a Discriminative Loss Function. - Bert De Brabandere; Davy Neven; Luc Van Gool (CoRR, 2017)

Towards End-to-End Lane Detection: an Instance Segmentation Approach. - Davy Neven; Bert De Brabandere; Stamatios Georgoulis; Marc Proesmans; Luc Van Gool (Intelligent Vehicles Symposium, 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 (WACV, 2018)

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. - Davy Neven; Bert De Brabandere; Marc Proesmans; Luc Van Gool (CVPR, 2019)

End-to-end Lane Detection through Differentiable Least-Squares Fitting. - Wouter Van Gansbeke; Bert De Brabandere; Davy Neven; Marc Proesmans; Luc Van Gool (ICCV Workshops, 2019)

Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty. - Wouter Van Gansbeke; Davy Neven; Bert De Brabandere; Luc Van Gool (MVA, 2019)

A Three-Player GAN: Generating Hard Samples to Improve Classification Networks. - Simon Vandenhende; Bert De Brabandere; Davy Neven; Luc Van Gool (MVA, 2019)

Branched Multi-Task Networks: Deciding What Layers To Share. - Simon Vandenhende; Bert De Brabandere; Luc Van Gool (CoRR, 2019)

Branched Multi-Task Networks: Deciding what layers to share. - Simon Vandenhende; Stamatios Georgoulis; Luc Van Gool; Bert De Brabandere (BMVC, 2020)

Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty. - Robby Neven; Davy Neven; Bert De Brabandere; Marc Proesmans; Toon Goedemé (ICCVW, 2021)

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting. - Wouter Van Gansbeke; Bert De Brabandere (ECCV (15), 2024)