| Deep learning on lie groups for skeleton-based action recognition Z Huang, C Wan, T Probst, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 340 | 2017 |
| Dense 3d regression for hand pose estimation C Wan, T Probst, L Van Gool, A Yao Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 210 | 2018 |
| Crossing nets: Combining gans and vaes with a shared latent space for hand pose estimation C Wan, T Probst, L Van Gool, A Yao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 182 | 2017 |
| Self-supervised 3d hand pose estimation through training by fitting C Wan, T Probst, LV Gool, A Yao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 124 | 2019 |
| Boosting crowd counting with transformers G Sun, Y Liu, T Probst, DP Paudel, N Popovic, L Van Gool arXiv preprint arXiv:2105.10926 3, 3, 2021 | 76 | 2021 |
| Coarse-to-fine feature mining for video semantic segmentation G Sun, Y Liu, H Ding, T Probst, L Van Gool proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 67 | 2022 |
| Crossing nets: Dual generative models with a shared latent space for hand pose estimation C Wan, T Probst, L Van Gool, A Yao Conference on Computer Vision and Pattern Recognition 7, 2017 | 60 | 2017 |
| Task switching network for multi-task learning G Sun, T Probst, DP Paudel, N Popović, M Kanakis, J Patel, D Dai, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 59 | 2021 |
| Automatic tool landmark detection for stereo vision in robot-assisted retinal surgery T Probst, KK Maninis, A Chhatkuli, M Ourak, E Vander Poorten, ... IEEE Robotics and Automation Letters 3 (1), 612-619, 2017 | 55 | 2017 |
| Mapping, localization and path planning for image-based navigation using visual features and map J Thoma, DP Paudel, A Chhatkuli, T Probst, LV Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 42 | 2019 |
| Dual grid net: Hand mesh vertex regression from single depth maps C Wan, T Probst, L Van Gool, A Yao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 30 | 2020 |
| Unsupervised learning of consensus maximization for 3D vision problems T Probst, DP Paudel, A Chhatkuli, LV Gool Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 28 | 2019 |
| Convex relaxations for consensus and non-minimal problems in 3D vision T Probst, DP Paudel, A Chhatkuli, LV Gool Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 15 | 2019 |
| Rethinking global context in crowd counting G Sun, Y Liu, T Probst, DP Paudel, N Popovic, L Van Gool Machine Intelligence Research, 1-12, 2024 | 10 | 2024 |
| Efficient model-free anthropometry from depth data T Probst, A Fossati, M Salzmann, L Van Gool 2017 International Conference on 3D Vision (3DV), 486-495, 2017 | 10 | 2017 |
| Combining human body shape and pose estimation for robust upper body tracking using a depth sensor T Probst, A Fossati, L Van Gool Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 9 | 2016 |
| Compositetasking: Understanding images by spatial composition of tasks N Popovic, DP Paudel, T Probst, G Sun, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 7 | 2021 |
| Incremental non-rigid structure-from-motion with unknown focal length T Probst, DP Paudel, A Chhatkuli, L Van Gool Proceedings of the European Conference on Computer Vision (ECCV), 756-771, 2018 | 6 | 2018 |
| Open-ended automatic programming through combinatorial evolution S Fix, T Probst, O Ruggli, T Hanne, P Christen International Conference on Intelligent Systems Design and Applications, 1-12, 2021 | 4 | 2021 |
| Unsupervised monocular depth reconstruction of non-rigid scenes A Takmaz, DP Paudel, T Probst, A Chhatkuli, MR Oswald, L Van Gool 2021 International Conference on 3D Vision (3DV), 825-836, 2021 | 3 | 2021 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACE在 insait.ai 的电子邮件经过验证