Jun Liu - RankMe

50 papers A* 18A 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison. CoRR Xi Jiang, Yue Guo, Jian Li, Yong Liu, Bin-Bin Gao, Hanqiu Deng, Jun Liu, Heng Zhao, Chengjie Wang, Feng Zheng
2026	A*	`conf`	AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. AAAI Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang
2026	J	`jnl`	ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning. CoRR Xiaofeng Tan, Jun Liu, Yuanting Fan, Bin-Bin Gao, Xi Jiang, Xiaochen Chen, Jinlong Peng, Chengjie Wang, Hongsong Wang, Feng Zheng
2026	J	`jnl`	Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning Segmentation. CoRR Jingnan Luo, Mingqi Gao, Jun Liu, Bin-Bin Gao, Feng Zheng
2026	J	`jnl`	Towards fine-grained vision-language alignment for few-shot anomaly detection. Pattern Recognit. Yuanting Fan, Jun Liu, Xiaochen Chen, Bin-Bin Gao, Jian Li, Yong Liu, Jinlong Peng, Chengjie Wang
2025	J	`jnl`	AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. CoRR Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang
2025	A*	`conf`	BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation. ACM Multimedia Jinxiang Lai, Wenlong Wu, Jiawei Zhan, Jian Li, Bin-Bin Gao, Jun Liu, Jie Zhang, Song Guo
2025	J	`jnl`	BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation. CoRR Jinxiang Lai, Wenlong Wu, Jiawei Zhan, Jian Li, Bin-Bin Gao, Jun Liu, Jie Zhang, Song Guo
2025	J	`jnl`	DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning. CoRR Jiawei Zhan, Jun Liu, Jinlong Peng, Xiaochen Chen, Bin-Bin Gao, Yong Liu, Chengjie Wang
2025	J	`jnl`	Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation. CoRR Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang
2025	A*	`conf`	Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. CVPR Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang
2025	J	`jnl`	Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. CoRR Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu
2025	J	`jnl`	Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection. CoRR Yuanting Fan, Jun Liu, Xiaochen Chen, Bin-Bin Gao, Jian Li, Yong Liu, Jinlong Peng, Chengjie Wang
2025	J	`jnl`	YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection. CoRR Xu Lin, Jinlong Peng, Zhenye Gan, Jiawen Zhu, Jun Liu
2024	J	`jnl`	Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning. IEEE Trans. Multim. Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng
2024	J	`jnl`	DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. CoRR Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Hao Chen, Jiafu Wu, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang, Chengjie Wang
2024	J	`jnl`	Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning. CoRR Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao, Jun Liu, Xiaochen Chen, Chengjie Wang
2024	—	`conf`	Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. ECCV (83) Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu
2024	A*	`conf`	Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. AAAI Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie
2024	A*	`conf`	MatchDet: A Collaborative Framework for Image Matching and Object Detection. AAAI Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang
2024	J	`jnl`	SoftPatch: Unsupervised Anomaly Detection with Noisy Data. CoRR Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng
2024	J	`jnl`	Spider: Any-to-Many Multimodal LLM. CoRR Jinxiang Lai, Jie Zhang, Jun Liu, Jian Li, Xiaocheng Lu, Song Guo
2023	A*	`conf`	Clustered-patch Element Connection for Few-shot Learning. IJCAI Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang
2023	J	`jnl`	Clustered-patch Element Connection for Few-shot Learning. CoRR Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang
2023	A*	`conf`	Instance and Category Supervision are Alternate Learners for Continual Learning. ICCV Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie
2023	J	`jnl`	MatchDet: A Collaborative Framework for Image Matching and Object Detection. CoRR Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang
2023	A*	`conf`	Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling. CVPR Zhen Zhao, Zhizhong Zhang, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie, Lizhuang Ma
2023	A*	`conf`	SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. AAAI Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2023	J	`jnl`	SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. CoRR Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2022	A*	`conf`	Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation. NeurIPS Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang
2022	A*	`conf`	En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning. CVPR Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu
2022	A*	`conf`	Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. ACM Multimedia Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
2022	J	`jnl`	Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. CoRR Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
2022	A	`conf`	HDNet: A Hierarchically Decoupled Network for Crowd Counting. ICME Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang
2022	J	`jnl`	HDNet: A Hierarchically Decoupled Network for Crowd Counting. CoRR Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang
2022	A*	`conf`	Hierarchical Walking Transformer for Object Re-Identification. ACM Multimedia Xudong Tian, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie, Lizhuang Ma
2022	A*	`conf`	Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification. ACM Multimedia Hanzhe Sun, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie, Lizhuang Ma
2022	A*	`conf`	Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. ACM Multimedia Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2022	J	`jnl`	Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. CoRR Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2022	A*	`conf`	Surface Representation for Point Clouds. CVPR Haoxi Ran, Jun Liu, Chengjie Wang
2022	J	`jnl`	Surface Representation for Point Clouds. CoRR Haoxi Ran, Jun Liu, Chengjie Wang
2022	A*	`conf`	Towards Continual Adaptation in Industrial Anomaly Detection. ACM Multimedia Wujin Li, Jiawei Zhan, Jinbao Wang, Bizhong Xia, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng
2022	J	`jnl`	nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection. CoRR Jinxiang Lai, Wenlong Liu, Jun Liu
2022	—	`conf`	tSF: Transformer-Based Semantic Filter for Few-Shot Learning. ECCV (20) Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
2022	J	`jnl`	tSF: Transformer-based Semantic Filter for Few-Shot Learning. CoRR Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
2021	J	`jnl`	LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation. CoRR Weifu Fu, Congchong Nie, Ting Sun, Jun Liu, Tianliang Zhang, Yong Liu
2021	A*	`conf`	Learning Inner-Group Relations on Point Clouds. ICCV Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu
2021	J	`jnl`	Learning Inner-Group Relations on Point Clouds. CoRR Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu
2021	J	`jnl`	Single-Shot Face Anti-Spoofing for Dual Pixel Camera. IEEE Trans. Inf. Forensics Secur. Xiaojun Wu, Jinghui Zhou, Jun Liu, Fangyi Ni, Haoqiang Fan
2018	—	`conf`	First Demonstration of Machine-Learning-Based Self-Optimizing Optical Networks (SOON) Running on Commercial Equipment. ECOC Boyuan Yan, Yongli Zhao, Wei Wang, Longchuan Yan, Ying Wang, Jun Liu, Shulin Zhang, Dongmei Liu, Yi Lin, Haomian Zheng, Jie Zhang