Xialei Liu 刘夏雷
Title
Cited by
Cited by
Year
Leveraging Unlabeled Data for Crowd Counting by Learning to Rank
X Liu, J van de Weijer, AD Bagdanov
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
2132018
Rankiqa: Learning from rankings for no-reference image quality assessment
X Liu, J van de Weijer, AD Bagdanov
International Conference on Computer Vision (ICCV), 2017, 2017
2012017
Memory Replay GANs: learning to generate images from new categories without forgetting
C Wu, L Herranz, X Liu, Y Wang, J van de Weijer, B Raducanu
Thirty-second Conference on Neural Information Processing Systems (NIPS), 2018, 2018
194*2018
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
X Liu, M Masana, L Herranz, J Van de Weijer, AM Lopez, AD Bagdanov
International Conference on Pattern Recognition (ICPR), 2018, Oral, 2018
1222018
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank
X Liu, J van de Weijer, AD Bagdanov
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
902019
Learning Metrics from Teachers: Compact Networks for Image Embedding
L Yu, VO Yazici, X Liu, J van de Weijer, Y Cheng, A Ramisa
Computer Vision and Pattern Recognition (CVPR), 2019, 2019
592019
Semantic Drift Compensation for Class-Incremental Learning
L Yu, B Twardowski, X Liu, L Herranz, K Wang, Y Cheng, S Jui, ...
Computer Vision and Pattern Recognition (CVPR), 2020, 2020
532020
Class-incremental learning: survey and performance evaluation on image classification
M Masana, X Liu, B Twardowski, M Menta, AD Bagdanov, J van de Weijer
arXiv preprint arXiv:2010.15277, 2020
472020
Generative feature replay for class-incremental learning
X Liu, C Wu, M Menta, L Herranz, B Raducanu, AD Bagdanov, S Jui, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2020
392020
Multi-Task Incremental Learning for Object Detection
X Liu, H Yang, A Ravichandran, R Bhotika, S Soatto
arXiv preprint arXiv:2002.05347, 2020
7*2020
Self-Training for Class-Incremental Semantic Segmentation
L Yu, X Liu, J van de Weijer
arXiv preprint arXiv:2012.03362, 2020
62020
Learning to Rank for Active Learning: A Listwise Approach
M Li, X Liu, J van de Weijer, B Raducanu
International Conference on Pattern Recognition (ICPR), 2020, Oral, 2020
42020
Universal Representation Learning from Multiple Domains for Few-shot Classification
WH Li, X Liu, H Bilen
International Conference on Computer Vision (ICCV), 2021, 2021
22021
Visual recognition in the wild: learning from rankings in small domains and continual learning in new domains
X Liu
Universitat AutÚnoma de Barcelona, PhD Thesis, 2019
12019
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
WH Li, X Liu, H Bilen
arXiv preprint arXiv:2111.14893, 2021
2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
K Wang, X Liu, A Bagdanov, L Herranz, S Rui, J van de Weijer
arXiv preprint arXiv:2111.04993, 2021
2021
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
K Wang, X Liu, L Herranz, J van de Weijer
BMVC, 2021, 2021
2021
Improving Task Adaptation for Cross-domain Few-shot Learning
WH Li, X Liu, H Bilen
arXiv preprint arXiv:2107.00358, 2021
2021
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Articles 1–18