Yong Liu

According to our database, Yong Liu authored at least 37 papers between 2021 and 2026.

Collaborative distances:

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

2026

PET-DINO: Unifying Visual Cues into Grounding DINO with Prompt-Enriched Training.

Weifu Fu, Jinyang Li, Bin-Bin Gao, Jialin Li, Yuhuan Lin, Hanqiu Deng, Wenbing Tao, Yong Liu, Chengjie Wang

CoRR, April, 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

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

Towards Balanced Representation Learning with Semantic Anchor Regularization.

Chengjie Wang, Qiang Nie, Ying Chen, Jialin Li, Yong Liu, Xi Jiang, Yanqi Ge, Yunsheng Wu, Feng Zheng, Lizhuang Ma

Int. J. Comput. Vis., October, 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

SoftPatch+: Fully unsupervised anomaly classification and segmentation.

Chengjie Wang, Xi Jiang, Bin-Bin Gao, Zhenye Gan, Yong Liu, Feng Zheng, Lizhuang Ma

Pattern Recognit., 2025

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.

Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Comprehensive Library for Benchmarking Multi-Class Visual Anomaly Detection.

Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing.

Guoyang Xie, Jinbao Wang, Jiaqi Liu, Jiayi Lyu, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin

IEEE Trans. Cybern., May, 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

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.

Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng

CoRR, 2024

CAR: Controllable Autoregressive Modeling for Visual Generation.

Ziyu Yao, Jialin Li, Yifeng Zhou, Yong Liu, Xi Jiang, Chengjie Wang, Feng Zheng, Yuexian Zou, Lei Li

CoRR, 2024

Anno-incomplete Multi-dataset Detection.

Yiran Xu, Haoxiang Zhong, Kai Wu, Jialin Li, Yong Liu, Chengjie Wang, Shu-Tao Xia, Hongen Liao

CoRR, 2024

ADer: A Comprehensive Benchmark for Multi-class Visual Anomaly Detection.

Jiangning Zhang, Haoyang He, Zhenye Gan, Qingdong He, Yuxuan Cai, Zhucun Xue, Yabiao Wang, Chengjie Wang, Lei Xie, Yong Liu

CoRR, 2024

Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner.

Qiang Nie, Weifu Fu, Yuhuan Lin, Jialin Li, Yifeng Zhou, Yong Liu, Lei Zhu, 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

Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference.

Xi Jiang, Ying Chen, Qiang Nie, Jianlin Liu, Yong Liu, Chengjie Wang, Feng Zheng

CoRR, 2024

HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching.

Ying Chen, Yong Liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang

CoRR, 2024

LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description.

Yizhang Jin, Jian Li, Jiangning Zhang, Jianlong Hu, Zhenye Gan, Xin Tan, Yong Liu, Yabiao Wang, Chengjie Wang, Lizhuang Ma

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Tuning-Free Image Customization with Image and Text Guidance.

Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng

Proceedings of the Computer Vision - ECCV 2024, 2024

LORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking.

Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes.

Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen

Proceedings of the 35th British Machine Vision Conference, 2024

Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt.

Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng

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

2023

Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation.

Weifu Fu, Qiang Nie, Jialin Li, Yuhuan Lin, Kai Wu, Yong Liu, Chengjie Wang

CoRR, 2023

Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction.

Dihe Huang, Ying Chen, Yikang Ding, Yong Liu, Qiang Nie, Chengjie Wang, Zhiheng Li

IEEE Access, 2023

Real3D-AD: A Dataset of Point Cloud Anomaly Detection.

Jiaqi Liu, Guoyang Xie, Ruitao Chen, Xinpeng Li, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NeRF-Loc: Visual Localization with Conditional Neural Radiance Field.

Jianlin Liu, Qiang Nie, Yong Liu, Chengjie Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Adaptive Assignment for Geometry Aware Local Feature Matching.

Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang

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

2022

UniInst: Unique representation for end-to-end instance segmentation.

Yimin Ou, Rui Yang, Lufan Ma, Yong Liu, Jiangpeng Yan, Shang Xu, Chengjie Wang, Xiu Li

Neurocomputing, 2022

Rethinking Dimensionality Reduction in Grid-based 3D Object Detection.

Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong Liu, Chengjie Wang

CoRR, 2022

Adaptive Assignment for Geometry Aware Local Feature Matching.

Dihe Huang, Ying Chen, Shang Xu, Yong Liu, Wenlong Wu, Yikang Ding, Chengjie Wang, Fan Tang

CoRR, 2022

A Survey of Visual Sensory Anomaly Detection.

Xi Jiang, Guoyang Xie, Jinbao Wang, Yong Liu, Chengjie Wang, Feng Zheng, Yaochu Jin

CoRR, 2022

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.

Xi Jiang, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai Wu, Yong Liu, Chengjie Wang, Feng Zheng

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

Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution.

Yifeng Zhou, Chuming Lin, Donghao Luo, Yong Liu, Ying Tai, Chengjie Wang, Mingang Chen

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

Class-Aware Contrastive Semi-Supervised Learning.

Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong Liu, Feng Zheng, Wei Zhang, Chengjie Wang, Long Zeng

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

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