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Yongqin Xian
Yongqin Xian
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Title
Cited by
Cited by
Year
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
11262018
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
7392018
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
6882016
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
6162017
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
3352019
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
962019
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
952020
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
522021
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
382021
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
282021
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
162022
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
132020
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
112021
A few guidelines for incremental few-shot segmentation
F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo
92020
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
32022
3D Compositional Zero-Shot Learning with DeCompositional Consensus
MF Naeem, EP Örnek, Y Xian, L Van Gool, F Tombari
European Conference on Computer Vision, 713-730, 2022
32022
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
32021
Prototype-based incremental few-shot segmentation
F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo
British Machine Vision Conference (BMVC 2021) 1, 2021
32021
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
32020
Prototype-based Incremental Few-Shot Semantic Segmentation
F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo
arXiv preprint arXiv:2012.01415, 2020
22020
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