Liu, Xialei

27 publications

CVPR 2025 GET: Unlocking the Multi-Modal Potential of CLIP for Generalized Category Discovery Enguang Wang, Zhimao Peng, Zhengyuan Xie, Fei Yang, Xialei Liu, Ming-Ming Cheng

NeurIPS 2025 Hybrid Re-Matching for Continual Learning with Parameter-Efficient Tuning Weicheng Wang, Guoli Jia, Xialei Liu, Liang Lin, Jufeng Yang

CVPR 2025 KAC: Kolmogorov-Arnold Classifier for Continual Learning Yusong Hu, Zichen Liang, Fei Yang, Qibin Hou, Xialei Liu, Ming-Ming Cheng

NeurIPS 2025 Knowledge Graph Enhanced Generative Multi-Modal Models for Class-Incremental Learning Xusheng Cao, Haori Lu, Linlan Huang, Fei Yang, Xialei Liu, Ming-Ming Cheng

ICCV 2025 Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning Linlan Huang, Xusheng Cao, Haori Lu, Yifan Meng, Fei Yang, Xialei Liu

ECCV 2024 Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion Linlan Huang, Xusheng Cao, Haori Lu, Xialei Liu

ECCV 2024 Early Preparation Pays Off: New Classifier Pre-Tuning for Class Incremental Semantic Segmentation Zhengyuan Xie, Haiquan Lu, Jia-wen Xiao, Enguang Wang, Le Zhang, Xialei Liu

AAAI 2024 Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng

CVPR 2024 Generative Multi-Modal Models Are Good Class Incremental Learners Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng

IJCAI 2024 Let's Start over: Retraining with Selective Samples for Generalized Category Discovery Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng

CVPR 2024 Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

ICCV 2023 Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer

CVPR 2023 Endpoints Weight Fusion for Class Incremental Semantic Segmentation Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng

ICCV 2023 Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising Xin Jin, Jia-Wen Xiao, Ling-Hao Han, Chunle Guo, Ruixun Zhang, Xialei Liu, Chongyi Li

ICCV 2023 Masked Autoencoders Are Efficient Class Incremental Learners Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

CVPR 2022 Cross-Domain Few-Shot Learning with Task-Specific Adapters Wei-Hong Li, Xialei Liu, Hakan Bilen

CVPRW 2022 Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer

CVPR 2022 Learning Multiple Dense Prediction Tasks from Partially Annotated Data Wei-Hong Li, Xialei Liu, Hakan Bilen

ECCV 2022 Long-Tailed Class Incremental Learning Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng

CVPR 2022 Representation Compensation Networks for Continual Semantic Segmentation Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng

ICCV 2021 Universal Representation Learning from Multiple Domains for Few-Shot Classification Wei-Hong Li, Xialei Liu, Hakan Bilen

CVPRW 2020 Generative Feature Replay for Class-Incremental Learning Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer

CVPR 2020 Semantic Drift Compensation for Class-Incremental Learning Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer

CVPR 2019 Learning Metrics from Teachers: Compact Networks for Image Embedding Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa

CVPR 2018 Leveraging Unlabeled Data for Crowd Counting by Learning to Rank Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov

NeurIPS 2018 Memory Replay GANs: Learning to Generate New Categories Without Forgetting Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu

ICCV 2017 RankIQA: Learning from Rankings for No-Reference Image Quality Assessment Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov