| Text to image generation with semantic-spatial aware gan W Liao, K Hu, MY Yang, B Rosenhahn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 125 | 2022 |
| Image captioning through image transformer S He, W Liao, HR Tavakoli, M Yang, B Rosenhahn, N Pugeault Proceedings of the Asian conference on computer vision, 2020 | 117 | 2020 |
| Spatial-temporal transformer for dynamic scene graph generation Y Cong, W Liao, H Ackermann, B Rosenhahn, MY Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 112 | 2021 |
| Natural language guided visual relationship detection W Liao, B Rosenhahn, L Shuai, M Ying Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 71 | 2019 |
| Vehicle detection in aerial images MY Yang, W Liao, X Li, Y Cao, B Rosenhahn Photogrammetric Engineering & Remote Sensing 85 (4), 297-304, 2019 | 61 | 2019 |
| Deep learning for vehicle detection in aerial images MY Yang, W Liao, X Li, B Rosenhahn 2018 25th IEEE International Conference on Image Processing (ICIP), 3079-3083, 2018 | 61 | 2018 |
| On support relations and semantic scene graphs MY Yang, W Liao, H Ackermann, B Rosenhahn ISPRS journal of photogrammetry and remote sensing 131, 15-25, 2017 | 61 | 2017 |
| Amenet: Attentive maps encoder network for trajectory prediction H Cheng, W Liao, MY Yang, B Rosenhahn, M Sester ISPRS Journal of Photogrammetry and Remote Sensing 172, 253-266, 2021 | 49 | 2021 |
| Context-aware layout to image generation with enhanced object appearance S He, W Liao, MY Yang, Y Yang, YZ Song, B Rosenhahn, T Xiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 49 | 2021 |
| Exploring dynamic context for multi-path trajectory prediction H Cheng, W Liao, X Tang, MY Yang, M Sester, B Rosenhahn 2021 IEEE International Conference on Robotics and Automation (ICRA), 12795 …, 2021 | 37 | 2021 |
| Triplet-based deep similarity learning for person re-identification W Liao, M Ying Yang, N Zhan, B Rosenhahn Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 36 | 2017 |
| Disentangled lifespan face synthesis S He, W Liao, MY Yang, YZ Song, B Rosenhahn, T Xiang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 22 | 2021 |
| FairNN - Conjoint Learning of Fair Representations for Fair Decisions T Hu, V Iosifidis, W Liao, H Zhang, MY Yang, E Ntoutsi, B Rosenhahn Discovery Science: 23rd International Conference, DS 2020, Thessaloniki …, 2020 | 22 | 2020 |
| MCENET: Multi-context encoder network for homogeneous agent trajectory prediction in mixed traffic H Cheng, W Liao, MY Yang, M Sester, B Rosenhahn 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 21* | 2020 |
| Nodis: Neural ordinary differential scene understanding Y Cong, H Ackermann, W Liao, MY Yang, B Rosenhahn Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 19 | 2020 |
| Security event recognition for visual surveillance W Liao, C Yang, M Ying Yang, B Rosenhahn ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 17 | 2017 |
| Video event recognition and anomaly detection by combining gaussian process and hierarchical dirichlet process models MY Yang, W Liao, Y Cao, B Rosenhahn Photogrammetric Engineering & Remote Sensing 84 (4), 203-214, 2018 | 16 | 2018 |
| Lr-cnn: Local-aware region cnn for vehicle detection in aerial imagery W Liao, X Chen, J Yang, S Roth, M Goesele, MY Yang, B Rosenhahn arXiv preprint arXiv:2005.14264, 2020 | 13 | 2020 |
| Target-tailored source-transformation for scene graph generation W Liao, C Lan, MY Yang, W Zeng, B Rosenhahn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 11* | 2021 |
| Exploiting attention for visual relationship detection T Hu, W Liao, MY Yang, B Rosenhahn Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019 | 8 | 2019 |
Bodo RosenhahnL3S Research Center / Leibniz Universität Hannover在 tnt.uni-hannover.de 的电子邮件经过验证
