| Unflow: Unsupervised learning of optical flow with a bidirectional census loss S Meister, J Hur, S Roth Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 542 | 2018 |
| Iterative residual refinement for joint optical flow and occlusion estimation J Hur, S Roth Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 267 | 2019 |
| Multi-lane detection in urban driving environments using conditional random fields J Hur, SN Kang, SW Seo 2013 IEEE Intelligent vehicles symposium (IV), 1297-1302, 2013 | 146 | 2013 |
| Self-supervised monocular scene flow estimation J Hur, S Roth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 102 | 2020 |
| MirrorFlow: Exploiting symmetries in joint optical flow and occlusion estimation J Hur, S Roth Proceedings of the IEEE International Conference on Computer Vision, 312-321, 2017 | 95 | 2017 |
| Joint optical flow and temporally consistent semantic segmentation J Hur, S Roth European Conference on Computer Vision Workshops, 163-177, 2016 | 78 | 2016 |
| Generalized deformable spatial pyramid: Geometry-preserving dense correspondence estimation J Hur, H Lim, C Park, S Chul Ahn Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 59 | 2015 |
| Multi-lane detection based on accurate geometric lane estimation in highway scenarios SN Kang, S Lee, J Hur, SW Seo 2014 IEEE Intelligent Vehicles Symposium Proceedings, 221-226, 2014 | 55 | 2014 |
| Optical flow estimation in the deep learning age J Hur, S Roth Modelling Human Motion: From Human Perception to Robot Design, 119-140, 2020 | 47 | 2020 |
| Self-supervised multi-frame monocular scene flow J Hur, S Roth Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence J Zhang, C Herrmann, J Hur, LP Cabrera, V Jampani, D Sun, MH Yang arXiv preprint arXiv:2305.15347, 2023 | 15 | 2023 |
| RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer B Bayramli, J Hur, H Lu International Journal of Computer Vision, 1-13, 2023 | 6 | 2023 |
| 3D deformable spatial pyramid for dense 3D motion flow of deformable object J Hur, H Lim, SC Ahn Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las …, 2014 | 6 | 2014 |
| The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation S Saxena, C Herrmann, J Hur, A Kar, M Norouzi, D Sun, DJ Fleet arXiv preprint arXiv:2306.01923, 2023 | 3 | 2023 |
| Self-supervised AutoFlow HP Huang, C Herrmann, J Hur, E Lu, K Sargent, A Stone, MH Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Self-supervised surround-view depth estimation with volumetric feature fusion JH Kim, J Hur, TP Nguyen, SG Jeong Advances in Neural Information Processing Systems 35, 4032-4045, 2022 | 3 | 2022 |
| Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence J Zhang, C Herrmann, J Hur, E Chen, V Jampani, D Sun, MH Yang arXiv preprint arXiv:2311.17034, 2023 | | 2023 |
| MasKGrasp: Mask-based Grasping for Scenes with Multiple General Real-world Objects J Lee, J Hur, I Hwang, YM Kim 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | | 2022 |
| Joint Motion, Semantic Segmentation, Occlusion, and Depth Estimation J Hur Technische Universität Darmstadt, 2022 | | 2022 |
Stefan RothProfessor of Computer Science, TU DarmstadtVerified email at cs.tu-darmstadt.de
