| 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 | 1482 | 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 | 954 | 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 | 787 | 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 | 781 | 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 | 479 | 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 | 187 | 2020 |
| 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 | 177 | 2019 |
| 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 | 108 | 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 | 79 | 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 | 61 | 2021 |
| 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 | 40 | 2021 |
| 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 | 38 | 2022 |
| 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 | 27 | 2022 |
| Prototype-based incremental few-shot semantic segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo arXiv preprint arXiv:2012.01415, 2020 | 26 | 2020 |
| Generalized many-way few-shot video classification Y Xian, B Korbar, M Douze, B Schiele, Z Akata, L Torresani Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 17 | 2020 |
| Attribute prototype network for any-shot learning W Xu, Y Xian, J Wang, B Schiele, Z Akata International Journal of Computer Vision 130 (7), 1735-1753, 2022 | 16 | 2022 |
| I2dformer: Learning image to document attention for zero-shot image classification MF Naeem, Y Xian, LV Gool, F Tombari Advances in Neural Information Processing Systems 35, 12283-12294, 2022 | 14 | 2022 |
| I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification MF Naeem, MGZA Khan, Y Xian, MZ Afzal, D Stricker, L Van Gool, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| A few guidelines for incremental few-shot segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo arXiv preprint arXiv:2012.01415 2, 2020 | 11 | 2020 |
| Ciaosr: Continuous implicit attention-in-attention network for arbitrary-scale image super-resolution J Cao, Q Wang, Y Xian, Y Li, B Ni, Z Pi, K Zhang, Y Zhang, R Timofte, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
Zeynep AkataProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
