フォロー
Yongqin Xian
Yongqin Xian
確認したメール アドレス: google.com - ホームページ
タイトル
引用先
引用先
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
11872018
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
7722018
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
7022016
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
6402017
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
3502019
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
1062020
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
1062019
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
582021
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
442021
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
342021
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
172022
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
152021
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
122020
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
102020
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
82022
Prototype-based incremental few-shot semantic segmentation
F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo
arXiv preprint arXiv:2012.01415, 2020
82020
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
52022
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
42022
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
42021
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
32022
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