Author

Xialei Liu

Observed names: Liu X., Liu Xialei, Liu, Xialei, X.L Liu, Xia-Lei Liu

Institutions: Canadian Institute for Advanced Research, Nankai University

Observed institutions: Canadian Institute for Advanced Research, Universitat Autònoma de Barcelona, Northwestern Polytechnical University, Nankai University, Computer Vision Center, University of Edinburgh

ORCID: 0000-0001-8534-3026

Observed ORCID: 0000-0001-8534-3026

OpenAlex ID: A5026904363

Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

2022 · Marc Masana, Xialei Liu, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 843

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RankIQA: Learning from Rankings for No-Reference Image Quality Assessment

2017 · Xialei Liu, Joost Van De Weijer, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 543

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Semantic Drift Compensation for Class-Incremental Learning

2020 · Lu Yu, Bartlomiej Twardowski, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 335

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Memory Replay GANs: learning to generate images from new categories without forgetting

2018 · Wu, Chenshen, Herranz, Luis, et al. · arXiv (Cornell University) · 323

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Leveraging Unlabeled Data for Crowd Counting by Learning to Rank

2018 · Xialei Liu, Joost van de Weijer, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 311

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Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

2018 · Xialei Liu, Marc Masana, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 273

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Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank

2019 · Xialei Liu, Joost van de Weijer, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 187

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Generative Feature Replay For Class-Incremental Learning

2020 · Xialei Liu, Chenshen Wu, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 135

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Cross-domain Few-shot Learning with Task-specific Adapters

2022 · Wei-Hong Li, Xialei Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 128

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Representation Compensation Networks for Continual Semantic Segmentation

2022 · Chang-Bin Zhang, Jia-Wen Xiao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 125

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Learning Metrics From Teachers: Compact Networks for Image Embedding

2019 · Lu Yu, Vacit Oguz Yazici, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 120

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Universal Representation Learning from Multiple Domains for Few-shot Classification

2021 · Wei-Hong Li, Xialei Liu, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 102

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Self-Training for Class-Incremental Semantic Segmentation

2022 · Lu Yu, Xialei Liu, et al. · IEEE Transactions on Neural Networks and Learning Systems · 70

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Endpoints Weight Fusion for Class Incremental Semantic Segmentation

2023 · Jia–Wen Xiao, Chang–Bin Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 51

Long-Tailed Class Incremental Learning

2022 · Xialei Liu, Yu-Song Hu, et al. · Lecture notes in computer science · 45

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Multi-Task Incremental Learning for Object Detection

2020 · Liu, Xialei, Yang, Hao, et al. · arXiv (Cornell University) · 45

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Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection

2023 · Yuyang Liu, Yang Cong, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 39

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Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

2025 · Yuan, Xinbin, Zheng, Zhaohui, et al. · arXiv (Cornell University) · 36

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Learning Multiple Dense Prediction Tasks from Partially Annotated Data

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Generative Multi-modal Models are Good Class-Incremental Learners

2024 · Xusheng Cao, Haori Lu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 32

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Universal Representations: A Unified Look at Multiple Task and Domain Learning

2023 · Wei-Hong Li, Xialei Liu, et al. · International Journal of Computer Vision · 32

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Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection

2026 · Xinbin Yuan, Zhaohui Zheng, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 31

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion

2024 · Linlan Huang, Xusheng Cao, et al. · Lecture notes in computer science · 28

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Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising

2023 · Xin Jin, Jia-Wen Xiao, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 28

Masked Autoencoders are Efficient Class Incremental Learners

2023 · Jiang-Tian Zhai, Xialei Liu, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 21

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Works count: 70

Citation count: 4,114

H-index: 24

I10-index: 35