| Towards end-to-end lane detection: an instance segmentation approach D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool 2018 IEEE intelligent vehicles symposium (IV), 286-291, 2018 | 559 | 2018 |
| 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 44 (7), 3614-3633, 2021 | 326* | 2021 |
| Learning To Classify Images Without Labels W Van Gansbeke, S Vandenhende, S Georgoulis, M Proesmans, ... European Conference on Computer Vision ECCV, 2020 | 308* | 2020 |
| Determination of optical flow and its discontinuities using non-linear diffusion M Proesmans, L Van Gool, E Pauwels, A Oosterlinck Computer Vision—ECCV'94: Third European Conference on Computer Vision …, 1994 | 274 | 1994 |
| Instance segmentation by jointly optimizing spatial embeddings and clustering bandwidth D Neven, BD Brabandere, M Proesmans, LV Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 232 | 2019 |
| Euclidean 3D reconstruction from image sequences with variable focal lengths M Pollefeys, L Van Gool, M Proesmans ECCV (1), 31-42, 1996 | 146 | 1996 |
| The cascaded Hough transform as an aid in aerial image interpretation T Tuytelaars, L Van Gool, M Proesmans, T Moons Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998 | 129 | 1998 |
| Active acquisition of 3d shape for moving objects M Proesmans, LJ Van Gool, AJ Oosterlinck Proceedings of 3rd IEEE International Conference on Image Processing 3, 647-650, 1996 | 119 | 1996 |
| Parallel algorithms for digital image processing, computer vision and neural networks M Proesmans, A Oosterlinck John Wiley & Sons Ltd., 1993 | 117 | 1993 |
| Invariant-based registration of surface patches JV Wyngaerd, L Van Gool, R Kock, M Proesmans Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999 | 113 | 1999 |
| Affine reconstruction from perspective image pairs with a relative object-camera translation in between T Moons, L Van Gool, M Proesmans, E Pauwels IEEE Transactions on Pattern Analysis and Machine Intelligence 18 (1), 77-83, 1996 | 111 | 1996 |
| 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 | 100* | 2019 |
| Reading between the lines - a method for extracting dynamic 3D with texture M Proesmans, L Van Gool, F Defoort Sixth international conference on computer vision, ICCV, 1081-1086, 1998 | 98 | 1998 |
| The cascaded Hough transform T Tuytelaars, M Proesmans, L Van Gool Proceedings of International Conference on Image Processing 2, 736-739, 1997 | 86 | 1997 |
| Coupled geometry-driven diffusion equations for low-level vision M Proesmans, E Pauwels, L Van Gool Geometry-driven diffusion in computer vision, 191-228, 1994 | 84 | 1994 |
| One-shot active 3D shape acquisition M Proesmans, L Van Gool, A Oosterlinck Proceedings of 13th International Conference on Pattern Recognition 3, 336-340, 1996 | 79 | 1996 |
| Fast scene understanding for autonomous driving D Neven, B De Brabandere, S Georgoulis, M Proesmans, L Van Gool arXiv preprint arXiv:1708.02550, 2017 | 75 | 2017 |
| Method and system for acquiring a three-dimensional shape description MRAB Proesmans, LSJ Van Gool, AJJ Oosterlinck, FP Defoort US Patent 6,510,244, 2003 | 74 | 2003 |
| Planar homologies as a basis for grouping and recognition L Van Gool, M Proesmans, A Zisserman Image and Vision Computing 16 (1), 21-26, 1998 | 43 | 1998 |
| Mirror and point symmetry under perspective skewing L Van Gool, T Moons, M Proesmans Proceedings CVPR IEEE Computer Society Conference on Computer Vision and …, 1996 | 42 | 1996 |
