| 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 | 742* | 2021 |
| SCAN: Learning to Classify Images without Labels W Van Gansbeke, S Vandenhende, S Georgoulis, M Proesmans, ... Proceedings of the European Conference on Computer Vision (ECCV), 268-285, 2020 | 557 | 2020 |
| Sparse and noisy lidar completion with rgb guidance and uncertainty W Van Gansbeke, D Neven, B De Brabandere, L Van Gool 2019 16th international conference on machine vision applications (MVA), 1-6, 2019 | 294 | 2019 |
| Unsupervised semantic segmentation by contrasting object mask proposals W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool Proceedings of the International Conference on Computer Vision (ICCV), 10052 …, 2021 | 245 | 2021 |
| End-to-end lane detection through differentiable least-squares fitting W Van Gansbeke, B De Brabandere, D Neven, M Proesmans, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 144 | 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 5 (4), 6813-6820, 2020 | 126 | 2020 |
| Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations W Van Gansbeke, S Vandenhende, S Georgoulis, L Van Gool Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2021 | 54 | 2021 |
| Discovering object masks with transformers for unsupervised semantic segmentation W Van Gansbeke, S Vandenhende, L Van Gool arXiv preprint arXiv:2206.06363, 2022 | 44 | 2022 |
| A simple latent diffusion approach for panoptic segmentation and mask inpainting W Van Gansbeke, B De Brabandere arXiv preprint arXiv:2401.10227, 2024 | 3 | 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Exploring Unsupervised Learning for Computer Vision Tasks with Neural Networks W Van Gansbeke, L Van Gool | | 2023 |
| Computer-implemented training method, classification method and system and computer-readable recording medium W Abbeloos, G Othmezouri, W Van Gansbeke, S Vandenhende, ... US Patent App. 17/327,030, 2021 | | 2021 |
| 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 ETHZ, KULeuven, INSAIT Sofia University,Toyota Lab TRACE在 insait.ai 的电子邮件经过验证
