Xialei Liu - RankMe

86 papers A* 20A 2B 2Misc 1Journal 54Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Inter-Task Gap of Continual Self-Supervised Learning With External Data. IEEE Trans. Circuits Syst. Video Technol. Haori Lu, Xusheng Cao, Linlan Huang, Enguang Wang, Fei Yang, Xialei Liu
2026	J	`jnl`	Modular Memory is the Key to Continual Learning Agents. CoRR Vaggelis Dorovatas, Malte Schwerin, Andrew D. Bagdanov, Lucas Caccia, Antonio Carta, Laurent Charlin, Barbara Hammer, Tyler L. Hayes, Timm Hess, Christopher Kanan, Dhireesha Kudithipudi, Xialei Liu, Vincenzo Lomonaco, Jorge Mendez-Mendez, Darshan Patil, Ameya Prabhu, Elisa Ricci, Tinne Tuytelaars, Gido M. van de Ven, Liyuan Wang, Joost van de Weijer, Jonghyun Choi, Martin Mundt, Rahaf Aljundi
2026	J	`jnl`	Predictive Regularization Against Visual Representation Degradation in Multimodal Large Language Models. CoRR Enguang Wang, Qiang Wang, Yuanchen Wu, Ke Yan, Xinbin Yuan, Shouhong Ding, Xialei Liu, Ming-Ming Cheng
2026	A*	`conf`	Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection. AAAI Xinbin Yuan, Zhaohui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou, Ming-Ming Cheng
2025	J	`jnl`	Class Incremental Learning for Image Classification With Out-of-Distribution Task Identification. IEEE Trans. Multim. Xusheng Cao, Haori Lu, Xialei Liu, Ming-Ming Cheng
2025	J	`jnl`	Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting. CoRR Yuyang Liu, Qiuhe Hong, Linlan Huang, Alexandra Gomez-Villa, Dipam Goswami, Xialei Liu, Joost van de Weijer, Yonghong Tian
2025	J	`jnl`	Enhancing Continual Semantic Segmentation via Uncertainty and Class Balance Re-Weighting. IEEE Trans. Image Process. Zichen Liang, Yusong Hu, Fei Yang, Xialei Liu
2025	A*	`conf`	GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. CVPR Enguang Wang, Zhimao Peng, Zhengyuan Xie, Fei Yang, Xialei Liu, Ming-Ming Cheng
2025	A*	`conf`	KAC: Kolmogorov-Arnold Classifier for Continual Learning. CVPR Yusong Hu, Zichen Liang, Fei Yang, Qibin Hou, Xialei Liu, Ming-Ming Cheng
2025	J	`jnl`	KAC: Kolmogorov-Arnold Classifier for Continual Learning. CoRR Yusong Hu, Zichen Liang, Fei Yang, Qibin Hou, Xialei Liu, Ming-Ming Cheng
2025	J	`jnl`	Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning. CoRR Xusheng Cao, Haori Lu, Linlan Huang, Fei Yang, Xialei Liu, Ming-Ming Cheng
2025	J	`jnl`	Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery. CoRR Enguang Wang, Zhimao Peng, Zhengyuan Xie, Haori Lu, Fei Yang, Xialei Liu
2025	J	`jnl`	Logo-VGR: Visual Grounded Reasoning for Open-world Logo Recognition. CoRR Zichen Liang, Jingjing Fei, Jie Wang, Zheming Yang, Changqing Li, Pei Wu, Minghui Qiu, Fei Yang, Xialei Liu
2025	J	`jnl`	Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning. CoRR Linlan Huang, Xusheng Cao, Haori Lu, Yifan Meng, Fei Yang, Xialei Liu
2025	J	`jnl`	Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection. CoRR Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng
2025	J	`jnl`	Predictive Sample Assignment for Semantically Coherent Out-of-Distribution Detection. IEEE Trans. Circuits Syst. Video Technol. Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng
2025	J	`jnl`	Reformulating Classification as Image-Class Matching for Class Incremental Learning. IEEE Trans. Circuits Syst. Video Technol. Yusong Hu, Zichen Liang, Xialei Liu, Qibin Hou, Ming-Ming Cheng
2025	J	`jnl`	Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution. CoRR Haori Lu, Xusheng Cao, Linlan Huang, Enguang Wang, Fei Yang, Xialei Liu
2025	J	`jnl`	Sharpness-aware Dynamic Anchor Selection for Generalized Category Discovery. CoRR Zhimao Peng, Enguang Wang, Fei Yang, Xialei Liu, Ming-Ming Cheng
2025	J	`jnl`	Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection. CoRR Xinbin Yuan, Zhaohui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou, Ming-Ming Cheng
2024	—	`conf`	A PRCV (5) Yusong Hu, Yuting Gao, Zihan Xu, Ke Li, Xialei Liu
2024	—	`conf`	Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion. ECCV (54) Linlan Huang, Xusheng Cao, Haori Lu, Xialei Liu
2024	J	`jnl`	Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion. CoRR Linlan Huang, Xusheng Cao, Haori Lu, Xialei Liu
2024	—	`conf`	Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation. ECCV (26) Zhengyuan Xie, Haiquan Lu, Jia-Wen Xiao, Enguang Wang, Le Zhang, Xialei Liu
2024	J	`jnl`	Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation. CoRR Zhengyuan Xie, Haiquan Lu, Jia-Wen Xiao, Enguang Wang, Le Zhang, Xialei Liu
2024	A*	`conf`	Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning. AAAI Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
2024	J	`jnl`	GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery. CoRR Enguang Wang, Zhimao Peng, Zhengyuan Xie, Xialei Liu, Ming-Ming Cheng
2024	A*	`conf`	Generative Multi-modal Models are Good Class-Incremental Learners. CVPR Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng
2024	J	`jnl`	Generative Multi-modal Models are Good Class-Incremental Learners. CoRR Xusheng Cao, Haori Lu, Linlan Huang, Xialei Liu, Ming-Ming Cheng
2024	A*	`conf`	Let's Start Over: Retraining with Selective Samples for Generalized Category Discovery. IJCAI Zhimao Peng, Enguang Wang, Xialei Liu, Ming-Ming Cheng
2024	J	`jnl`	Modeling Inner- and Cross-Task Contrastive Relations for Continual Image Classification. IEEE Trans. Multim. Yuxuan Luo, Runmin Cong, Xialei Liu, Horace Ho-Shing Ip, Sam Kwong
2024	A*	`conf`	Task-Adaptive Saliency Guidance for Exemplar-Free Class Incremental Learning. CVPR Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2024	J	`jnl`	Universal Representations: A Unified Look at Multiple Task and Domain Learning. Int. J. Comput. Vis. Wei-Hong Li, Xialei Liu, Hakan Bilen
2023	A*	`conf`	Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. ICCV Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer
2023	J	`jnl`	Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. CoRR Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer
2023	J	`jnl`	Class Incremental Learning with Pre-trained Vision-Language Models. CoRR Xialei Liu, Xusheng Cao, Haori Lu, Jia-Wen Xiao, Andrew D. Bagdanov, Ming-Ming Cheng
2023	J	`jnl`	Class-Incremental Learning: Survey and Performance Evaluation on Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
2023	A*	`conf`	Endpoints Weight Fusion for Class Incremental Semantic Segmentation. CVPR Jia-Wen Xiao, Chang-Bin Zhang, Jiekang Feng, Xialei Liu, Joost van de Weijer, Ming-Ming Cheng
2023	J	`jnl`	Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning. CoRR Jiang-Tian Zhai, Xialei Liu, Lu Yu, Ming-Ming Cheng
2023	A*	`conf`	Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising. ICCV Xin Jin, Jia-Wen Xiao, Linghao Han, Chunle Guo, Ruixun Zhang, Xialei Liu, Chongyi Li
2023	J	`jnl`	Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising. CoRR Xin Jin, Jia-Wen Xiao, Linghao Han, Chunle Guo, Ruixun Zhang, Xialei Liu, Chongyi Li
2023	A*	`conf`	Masked Autoencoders are Efficient Class Incremental Learners. ICCV Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2023	J	`jnl`	Masked Autoencoders are Efficient Class Incremental Learners. CoRR Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2023	J	`jnl`	Self-Training for Class-Incremental Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. Lu Yu, Xialei Liu, Joost van de Weijer
2023	J	`jnl`	Sequential interactive image segmentation. Comput. Vis. Media Zheng Lin, Zhao Zhang, Ziyue Zhu, Deng-Ping Fan, Xialei Liu
2022	A*	`conf`	Cross-domain Few-shot Learning with Task-specific Adapters. CVPR Wei-Hong Li, Xialei Liu, Hakan Bilen
2022	—	`conf`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CVPR Workshops Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2022	A*	`conf`	Learning Multiple Dense Prediction Tasks from Partially Annotated Data. CVPR Wei-Hong Li, Xialei Liu, Hakan Bilen
2022	—	`conf`	Long-Tailed Class Incremental Learning. ECCV (33) Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022	J	`jnl`	Long-Tailed Class Incremental Learning. CoRR Xialei Liu, Yusong Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022	A	`conf`	Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. BMVC Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
2022	J	`jnl`	Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. CoRR Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer
2022	A*	`conf`	Representation Compensation Networks for Continual Semantic Segmentation. CVPR Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng
2022	J	`jnl`	Representation Compensation Networks for Continual Semantic Segmentation. CoRR Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng
2022	J	`jnl`	Robust Saliency Guidance for Data-free Class Incremental Learning. CoRR Xialei Liu, Jiang-Tian Zhai, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng
2022	J	`jnl`	Universal Representations: A Unified Look at Multiple Task and Domain Learning. CoRR Wei-Hong Li, Xialei Liu, Hakan Bilen
2021	A	`conf`	HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. BMVC Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification. CoRR Kai Wang, Xialei Liu, Luis Herranz, Joost van de Weijer
2021	J	`jnl`	Improving Task Adaptation for Cross-domain Few-shot Learning. CoRR Wei-Hong Li, Xialei Liu, Hakan Bilen
2021	J	`jnl`	Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. CoRR Kai Wang, Xialei Liu, Andrew D. Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer
2021	J	`jnl`	Learning Multiple Dense Prediction Tasks from Partially Annotated Data. CoRR Wei-Hong Li, Xialei Liu, Hakan Bilen
2021	A*	`conf`	Universal Representation Learning from Multiple Domains for Few-shot Classification. ICCV Wei-Hong Li, Xialei Liu, Hakan Bilen
2021	J	`jnl`	Universal Representation Learning from Multiple Domains for Few-shot Classification. CoRR Wei-Hong Li, Xialei Liu, Hakan Bilen
2020	J	`jnl`	Class-incremental learning: survey and performance evaluation. CoRR Marc Masana, Xialei Liu, Bartlomiej Twardowski, Mikel Menta, Andrew D. Bagdanov, Joost van de Weijer
2020	J	`jnl`	Continual Universal Object Detection. CoRR Xialei Liu, Hao Yang, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
2020	—	`conf`	Generative Feature Replay For Class-Incremental Learning. CVPR Workshops Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Generative Feature Replay For Class-Incremental Learning. CoRR Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer
2020	B	`conf`	Learning to Rank for Active Learning: A Listwise Approach. ICPR Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu
2020	J	`jnl`	Learning to Rank for Active Learning: A Listwise Approach. CoRR Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu
2020	J	`jnl`	Self-Training for Class-Incremental Semantic Segmentation. CoRR Lu Yu, Xialei Liu, Joost van de Weijer
2020	A*	`conf`	Semantic Drift Compensation for Class-Incremental Learning. CVPR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2020	J	`jnl`	Semantic Drift Compensation for Class-Incremental Learning. CoRR Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer
2019	J	`jnl`	Exploiting Unlabeled Data in CNNs by Self-Supervised Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2019	J	`jnl`	Exploiting Unlabeled Data in CNNs by Self-supervised Learning to Rank. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2019	A*	`conf`	Learning Metrics From Teachers: Compact Networks for Image Embedding. CVPR Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
2019	J	`jnl`	Learning Metrics from Teachers: Compact Networks for Image Embedding. CoRR Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng, Arnau Ramisa
2019	—	`—`	Visual recognition in the wild: learning from rankings in small domains and continual learning in new domains. Xialei Liu
2018	A*	`conf`	Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CVPR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2018	J	`jnl`	Leveraging Unlabeled Data for Crowd Counting by Learning to Rank. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2018	A*	`conf`	Memory Replay GANs: Learning to Generate New Categories without Forgetting. NeurIPS Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2018	J	`jnl`	Memory Replay GANs: learning to generate images from new categories without forgetting. CoRR Chenshen Wu, Luis Herranz, Xialei Liu, Yaxing Wang, Joost van de Weijer, Bogdan Raducanu
2018	B	`conf`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2018	J	`jnl`	Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
2017	A*	`conf`	RankIQA: Learning from Rankings for No-Reference Image Quality Assessment. ICCV Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2017	J	`jnl`	RankIQA: Learning from Rankings for No-reference Image Quality Assessment. CoRR Xialei Liu, Joost van de Weijer, Andrew D. Bagdanov
2015	Misc	`conf`	Suitability of Real-Time Image under Complicated Environment Based on Contourlet in SMN. ISKE Lu Yu, Yongmei Cheng, Xialei Liu, Nan Liu