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 | 1187 | 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 | 772 | 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 | 702 | 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 | 640 | 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 | 350 | 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 | 106 | 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 | 106 | 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 | 58 | 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 | 44 | 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 | 34 | 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 | 17 | 2022 |
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 | 15 | 2021 |
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 | 12 | 2020 |
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 | 10 | 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 | 8 | 2022 |
Prototype-based incremental few-shot semantic segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo arXiv preprint arXiv:2012.01415, 2020 | 8 | 2020 |
3D Compositional Zero-shot Learning with DeCompositional Consensus MF Naeem, EP Örnek, Y Xian, L Van Gool, F Tombari Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 5 | 2022 |
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 | 4 | 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 44 (12), 8949 …, 2021 | 4 | 2021 |
Net for Generalized Zero-Label Semantic Segmentation A Das, Y Xian, Y He, B Schiele, Z Akata Pattern Recognition: 43rd DAGM German Conference, DAGM GCPR 2021, Bonn …, 2022 | 3 | 2022 |