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Yongqin Xian
Yongqin Xian
PostDoc, ETH Zurich
Verified email at vision.ee.ethz.ch - Homepage
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
10072018
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
6702018
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
6492016
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
5732017
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
2902019
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
842019
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
702020
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
362021
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
262021
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
152021
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
122020
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
82021
A few guidelines for incremental few-shot segmentation
F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo
82020
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
62022
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
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
12022
Prototype-based Incremental Few-Shot Semantic Segmentation
F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo
arXiv preprint arXiv:2012.01415, 2020
12020
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
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