| Zero-shot learning—a comprehensive evaluation of the good, the bad and the ugly Y Xian, CH Lampert, B Schiele, Z Akata IEEE transactions on pattern analysis and machine intelligence 41 (9), 2251-2265, 2018 | 969 | 2018 |
| Feature generating networks for zero-shot learning Y Xian, T Lorenz, B Schiele, Z Akata Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 654 | 2018 |
| Latent embeddings for zero-shot classification Y Xian, Z Akata, G Sharma, Q Nguyen, M Hein, B Schiele Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 641 | 2016 |
| Zero-shot learning-the good, the bad and the ugly Y Xian, B Schiele, Z Akata Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 556 | 2017 |
| f-vaegan-d2: A feature generating framework for any-shot learning Y Xian, S Sharma, B Schiele, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 276 | 2019 |
| Semantic projection network for zero-and few-label semantic segmentation Y Xian, S Choudhury, Y He, B Schiele, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 83 | 2019 |
| Attribute prototype network for zero-shot learning W Xu, Y Xian, J Wang, B Schiele, Z Akata Advances in Neural Information Processing Systems 33, 21969-21980, 2020 | 60 | 2020 |
| Learning graph embeddings for compositional zero-shot learning MF Naeem, Y Xian, F Tombari, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 30 | 2021 |
| Open world compositional zero-shot learning M Mancini, MF Naeem, Y Xian, Z Akata Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 23 | 2021 |
| Distilling audio-visual knowledge by compositional contrastive learning Y Chen, Y Xian, A Koepke, Y Shan, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 10 | 2021 |
| Generalized many-way few-shot video classification Y Xian, B Korbar, M Douze, B Schiele, Z Akata, L Torresani European Conference on Computer Vision, 111-127, 2020 | 10 | 2020 |
| A closer look at self-training for zero-label semantic segmentation G Pastore, F Cermelli, Y Xian, M Mancini, Z Akata, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8 | 2021 |
| A few guidelines for incremental few-shot segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo | 7 | 2020 |
| Learning graph embeddings for open world compositional zero-shot learning M Mancini, MF Naeem, Y Xian, Z Akata IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 6 | 2022 |
| Prototype-based incremental few-shot segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo British Machine Vision Conference (BMVC 2021) 1, 2021 | 2 | 2021 |
| Analyzing the dependency of convnets on spatial information Y Fan, Y Xian, MM Losch, B Schiele DAGM German Conference on Pattern Recognition, 101-115, 2020 | 2 | 2020 |
| VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning W Xu, Y Xian, J Wang, B Schiele, Z Akata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1 | 2022 |
| Generalized Few-Shot Video Classification with Video Retrieval and Feature Generation Y Xian, B Korbar, M Douze, L Torresani, B Schiele, Z Akata IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 1 | 2021 |
| Prototype-based Incremental Few-Shot Semantic Segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo arXiv preprint arXiv:2012.01415, 2020 | 1 | 2020 |
| Attribute Prototype Network for Any-Shot Learning W Xu, Y Xian, J Wang, B Schiele, Z Akata International Journal of Computer Vision, 1-19, 2022 | | 2022 |
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
