Jun Liu

According to our database, Jun Liu authored at least 37 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Large-Scale Universal Defect Generation: Foundation Models and Datasets.

Yuanting Fan, Jun Liu, Bin-Bin Gao, Xiaochen Chen, Yuhuan Lin, Zhewei Dai, Jiawei Zhan, Chengjie Wang

CoRR, April, 2026

Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning Segmentation.

Jingnan Luo, Mingqi Gao, Jun Liu, Bin-Bin Gao, Feng Zheng

CoRR, March, 2026

AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison.

Xi Jiang, Yue Guo, Jian Li, Yong Liu, Bin-Bin Gao, Hanqiu Deng, Jun Liu, Heng Zhao, Chengjie Wang, Feng Zheng

CoRR, March, 2026

ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning.

Xiaofeng Tan, Jun Liu, Yuanting Fan, Bin-Bin Gao, Xi Jiang, Xiaochen Chen, Jinlong Peng, Chengjie Wang, Hongsong Wang, Feng Zheng

CoRR, February, 2026

Towards fine-grained vision-language alignment for few-shot anomaly detection.

Yuanting Fan, Jun Liu, Xiaochen Chen, Bin-Bin Gao, Jian Li, Yong Liu, Jinlong Peng, Chengjie Wang

Pattern Recognit., 2026

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection.

Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection.

Xu Lin, Jinlong Peng, Zhenye Gan, Jiawen Zhu, Jun Liu

CoRR, December, 2025

DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning.

Jiawei Zhan, Jun Liu, Jinlong Peng, Xiaochen Chen, Bin-Bin Gao, Yong Liu, Chengjie Wang

CoRR, October, 2025

BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation.

Jinxiang Lai, Wenlong Wu, Jiawei Zhan, Jian Li, Bin-Bin Gao, Jun Liu, Jie Zhang, Song Guo

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation.

Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning.

Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng

IEEE Trans. Multim., 2024

Spider: Any-to-Many Multimodal LLM.

Jinxiang Lai, Jie Zhang, Jun Liu, Jian Li, Xiaocheng Lu, Song Guo

CoRR, 2024

DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation.

Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Hao Chen, Jiafu Wu, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang, Chengjie Wang

CoRR, 2024

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning.

Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao, Jun Liu, Xiaochen Chen, Chengjie Wang

CoRR, 2024

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.

Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng

CoRR, 2024

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation.

Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection.

Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MatchDet: A Collaborative Framework for Image Matching and Object Detection.

Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Clustered-patch Element Connection for Few-shot Learning.

Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Instance and Category Supervision are Alternate Learners for Continual Learning.

Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Gradient Projection Continual Learning: Stability/Plasticity Feature Space Decoupling.

Zhen Zhao, Zhizhong Zhang, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection.

Jinxiang Lai, Wenlong Liu, Jun Liu

CoRR, 2022

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation.

Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision.

Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Hierarchical Walking Transformer for Object Re-Identification.

Xudong Tian, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Not All Pixels Are Matched: Dense Contrastive Learning for Cross-Modality Person Re-Identification.

Hanzhe Sun, Jun Liu, Zhizhong Zhang, Chengjie Wang, Yanyun Qu, Yuan Xie, Lizhuang Ma

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Continual Adaptation in Industrial Anomaly Detection.

Wujin Li, Jiawei Zhan, Jinbao Wang, Bizhong Xia, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective.

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

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HDNet: A Hierarchically Decoupled Network for Crowd Counting.

Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

tSF: Transformer-Based Semantic Filter for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

Surface Representation for Point Clouds.

Haoxi Ran, Jun Liu, Chengjie Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning.

Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Single-Shot Face Anti-Spoofing for Dual Pixel Camera.

Xiaojun Wu, Jinghui Zhou, Jun Liu, Fangyi Ni, Haoqiang Fan

IEEE Trans. Inf. Forensics Secur., 2021

LVIS Challenge Track Technical Report 1st Place Solution: Distribution Balanced and Boundary Refinement for Large Vocabulary Instance Segmentation.

Weifu Fu, Congchong Nie, Ting Sun, Jun Liu, Tianliang Zhang, Yong Liu

CoRR, 2021

Learning Inner-Group Relations on Point Clouds.

Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018

First Demonstration of Machine-Learning-Based Self-Optimizing Optical Networks (SOON) Running on Commercial Equipment.

Boyuan Yan, Yongli Zhao, Wei Wang, Longchuan Yan, Ying Wang, Jun Liu, Shulin Zhang, Dongmei Liu, Yi Lin, Haomian Zheng, Jie Zhang

Proceedings of the European Conference on Optical Communication, 2018