| Wasserstein divergence for gans J Wu, Z Huang, J Thoma, D Acharya, L Van Gool Proceedings of the European conference on computer vision (ECCV), 653-668, 2018 | 179 | 2018 |
| Sliced wasserstein generative models J Wu, Z Huang, D Acharya, W Li, J Thoma, DP Paudel, LV Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 102 | 2019 |
| 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 | 26 | 2019 |
| Soft contrastive learning for visual localization J Thoma, DP Paudel, LV Gool Advances in Neural Information Processing Systems 33, 11119-11130, 2020 | 8 | 2020 |
| Geometrically Mappable Image Features J Thoma, DP Paudel, A Chhatkuli, L Van Gool IEEE Robotics and Automation Letters, 2020 | 7 | 2020 |
| [POSTER] augmented reality for user-friendly intra-oral scanning J Thoma, M Havlena, S Stalder, L Van Gool 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR …, 2017 | 7 | 2017 |
| Weakly Paired Multi-Domain Image Translation MY Zhang, Z Huang, DP Paudel, J Thoma, L Van Gool The British Machine Vision Conference (BMVC), 2020 | 5 | 2020 |
| Energy-relaxed Wasserstein gans (energywgan): towards more stable and high resolution image generation J Wu, Z Huang, J Thoma, L Van Gool arXiv preprint arXiv:1712.01026, 2017 | 5 | 2017 |
| Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images J Thoma, DP Paudel, A Chhatkuli, L Van Gool arXiv preprint arXiv:2008.12165, 2020 | 2 | 2020 |
| Automatic segmentation of abdominal MRI using selective sampling and random walker J Thoma, F Ozdemir, O Goksel Medical Computer Vision and Bayesian and Graphical Models for Biomedical …, 2017 | 2 | 2017 |
| Image-Based Localization JD Thoma ETH Zurich, 2021 | 1 | 2021 |
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐVerified email at ethz.ch
