| 2024 | ECCV | A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting. | Wouter Van Gansbeke, Bert De Brabandere |
| 2020 | BMVC | Branched Multi-Task Networks: Deciding what layers to share. | Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool, Bert De Brabandere |
| 2019 | CVPR | Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth. | Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool |
| 2019 | MVA | Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty. | Wouter Van Gansbeke, Davy Neven, Bert De Brabandere, Luc Van Gool |
| 2019 | MVA | A Three-Player GAN: Generating Hard Samples to Improve Classification Networks. | Simon Vandenhende, Bert De Brabandere, Davy Neven, Luc Van Gool |
| 2018 | WACV | From Pixels to Actions: Learning to Drive a Car with Deep Neural Networks. | Jonas Heylen, Seppe Iven, Bert De Brabandere, Jos Oramas M., Luc Van Gool, Tinne Tuytelaars |
| 2017 | BMVC | Dynamic Steerable Blocks in Deep Residual Networks. | Jrn-Henrik Jacobsen, Bert De Brabandere, Arnold W. M. Smeulders |
| 2017 | CVPR | Semantic Instance Segmentation for Autonomous Driving. | Bert De Brabandere, Davy Neven, Luc Van Gool |
| 2016 | WACV | Energy-efficient ConvNets through approximate computing. | Bert Moons, Bert De Brabandere, Luc Van Gool, Marian Verhelst |