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Xialei Liu 刘夏雷
Xialei Liu 刘夏雷
Associate Professor, Nankai University
Verified email at nankai.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
2712017
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
2492018
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
238*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
1442018
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
1132019
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
1112020
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
1012020
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
732019
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
552020
Multi-Task Incremental Learning for Object Detection
X Liu, H Yang, A Ravichandran, R Bhotika, S Soatto
arXiv preprint arXiv:2002.05347, 2020
22*2020
Universal Representation Learning from Multiple Domains for Few-shot Classification
WH Li, X Liu, H Bilen
International Conference on Computer Vision (ICCV), 2021, 2021
142021
Self-training for class-incremental semantic segmentation
L Yu, X Liu, J Van de Weijer
IEEE Transactions on Neural Networks and Learning Systems, 2022
112022
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
92020
Cross-domain Few-shot Learning with Task-specific Adapters
WH Li, X Liu, H Bilen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
8*2022
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
WH Li, X Liu, H Bilen
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
12022
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
Universal Representations: A Unified Look at Multiple Task and Domain Learning
WH Li, X Liu, H Bilen
arXiv preprint arXiv:2204.02744, 2022
2022
Representation Compensation Networks for Continual Semantic Segmentation
CB Zhang, JW Xiao, X Liu, YC Chen, MM Cheng
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
2022
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition
K Wang, X Liu, AD Bagdanov, L Herranz, S Jui, J van de Weijer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
2022
HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification
K Wang, X Liu, L Herranz, J van de Weijer
BMVC, 2021, 2021
2021
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