Liu, Xialei

24 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

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