| Multi-Task Learning for Dense Prediction Tasks: A Survey S Vandenhende, S Georgoulis, W Van Gansbeke, M Proesmans, D Dai, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 869* | 2021 |
| SCAN: Learning to Classify Images without Labels W Van Gansbeke, S Vandenhende, S Georgoulis, M Proesmans, ... European Conference on Computer Vision (ECCV), 2020 | 633 | 2020 |
| Sparse and noisy lidar completion with rgb guidance and uncertainty W Van Gansbeke, D Neven, B De Brabandere, L Van Gool International Conference on Machine Vision Applications (MVA), 2019 | 312 | 2019 |
| Unsupervised semantic segmentation by contrasting object mask proposals W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool International Conference on Computer Vision (ICCV), 2021 | 277 | 2021 |
| End-to-end lane detection through differentiable least-squares fitting W Van Gansbeke, B De Brabandere, D Neven, M Proesmans, L Van Gool International Conference on Computer Vision (ICCV) - Workshops, 2019 | 153 | 2019 |
| Don't Forget The Past: Recurrent Depth Estimation from Monocular Video V Patil, W Van Gansbeke, D Dai, L Van Gool IEEE Robotics and Automation Letters (RAL), 2020 | 147 | 2020 |
| Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool Conference on Neural Information Processing Systems (NeurIPS), 2021 | 64 | 2021 |
| Discovering object masks with transformers for unsupervised semantic segmentation W Van Gansbeke, S Vandenhende, L Van Gool arXiv preprint arXiv:2206.06363, 2022 | 60 | 2022 |
| A simple latent diffusion approach for panoptic segmentation and mask inpainting W Van Gansbeke, B De Brabandere European Conference on Computer Vision (ECCV), 2024 | 5 | 2024 |
| Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models S Motamed, W Van Gansbeke, L Van Gool Conference on Computer Vision and Pattern Recognition (CVPR) - Workshops, 2024 | 1 | 2024 |
| Computer-implemented training method, classification method and system and computer-readable recording medium W Abbeloos, G Othmezouri, W Van Gansbeke, S Vandenhende, ... US Patent 12,073,322, 2024 | | 2024 |
| Exploring Unsupervised Learning for Computer Vision Tasks with Neural Networks W Van Gansbeke | | 2023 |
| A Implementation Details W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool | | |
| Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations: Supplementary Materials W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool | | |
| Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals: Supplementary Materials W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool | | |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
