Class-Aware Contrastive Semi-Supervised Learning. - Fan Yang; Kai Wu; Shuyi Zhang; Guannan Jiang; Yong Liu 032; Feng Zheng; Wei Zhang 217; Chengjie Wang; Long Zeng 001 (CVPR, 2022)

Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution. - Yifeng Zhou; Chuming Lin; Donghao Luo 001; Yong Liu 032; Ying Tai; Chengjie Wang; Mingang Chen (ACM Multimedia, 2022)

SoftPatch: Unsupervised Anomaly Detection with Noisy Data. - Xi Jiang 009; Jianlin Liu; Jinbao Wang; Qiang Nie; Kai Wu; Yong Liu 032; Chengjie Wang; Feng Zheng (NeurIPS, 2022)

A Survey of Visual Sensory Anomaly Detection. - Xi Jiang 009; Guoyang Xie; Jinbao Wang; Yong Liu 032; Chengjie Wang; Feng Zheng; Yaochu Jin (CoRR, 2022)

Adaptive Assignment for Geometry Aware Local Feature Matching. - Dihe Huang; Ying Chen; Shang Xu; Yong Liu 032; Wenlong Wu; Yikang Ding; Chengjie Wang; Fan Tang (CoRR, 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 032; Chengjie Wang (CoRR, 2022)

UniInst: Unique representation for end-to-end instance segmentation. - Yimin Ou; Rui Yang 010; Lufan Ma; Yong Liu 032; Jiangpeng Yan; Shang Xu; Chengjie Wang; Xiu Li 001 (Neurocomputing, 2022)

Adaptive Assignment for Geometry Aware Local Feature Matching. - Dihe Huang; Ying Chen; Yong Liu 032; Jianlin Liu; Shang Xu; Wenlong Wu; Yikang Ding; Fan Tang; Chengjie Wang (CVPR, 2023)

NeRF-Loc: Visual Localization with Conditional Neural Radiance Field. - Jianlin Liu; Qiang Nie; Yong Liu 032; Chengjie Wang (ICRA, 2023)

Real3D-AD: A Dataset of Point Cloud Anomaly Detection. - Jiaqi Liu 004; Guoyang Xie; Ruitao Chen; Xinpeng Li 004; Jinbao Wang; Yong Liu 032; Chengjie Wang; Feng Zheng (NeurIPS, 2023)

Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction. - Dihe Huang; Ying Chen; Yikang Ding; Yong Liu 032; Qiang Nie; Chengjie Wang; Zhiheng Li 001 (IEEE Access, 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 032; Chengjie Wang (CoRR, 2023)

Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. - Jiaqi Liu 004; Kai Wu; Qiang Nie; Ying Chen; Bin-Bin Gao; Yong Liu 032; Jinbao Wang; Chengjie Wang; Feng Zheng (AAAI, 2024)

Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. - Donghao Zhou; Jialin Li; Jinpeng Li 004; Jiancheng Huang; Qiang Nie; Yong Liu 032; Bin-Bin Gao; Qiong Wang 001; Pheng-Ann Heng; Guangyong Chen (BMVC, 2024)

LORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking. - Jialin Li; Qiang Nie; Weifu Fu; Yuhuan Lin; Guangpin Tao; Yong Liu 032; Chengjie Wang (CVPR, 2024)

Tuning-Free Image Customization with Image and Text Guidance. - Pengzhi Li; Qiang Nie; Ying Chen; Xi Jiang 009; Kai Wu; Yuhuan Lin; Yong Liu 032; Jinlong Peng; Chengjie Wang; Feng Zheng (ECCV (76), 2024)

LLaVA-VSD: Large Language-and-Vision Assistant for Visual Spatial Description. - Yizhang Jin; Jian Li 062; Jiangning Zhang; Jianlong Hu; Zhenye Gan; Xin Tan 002; Yong Liu 032; Yabiao Wang; Chengjie Wang; Lizhuang Ma (ACM Multimedia, 2024)

HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching. - Ying Chen; Yong Liu 032; Kai Wu; Qiang Nie; Shang Xu; Huifang Ma; Bing Wang 013; Chengjie Wang (CoRR, 2024)

Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference. - Xi Jiang 009; Ying Chen; Qiang Nie; Jianlin Liu; Yong Liu 032; Chengjie Wang; Feng Zheng (CoRR, 2024)

SoftPatch: Unsupervised Anomaly Detection with Noisy Data. - Xi Jiang 009; Ying Chen; Qiang Nie; Yong Liu 032; Jianlin Liu; Bin-Bin Gao; Jun Liu 071; Chengjie Wang; Feng Zheng (CoRR, 2024)

Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner. - Qiang Nie; Weifu Fu; Yuhuan Lin; Jialin Li; Yifeng Zhou; Yong Liu 032; Lei Zhu; Chengjie Wang (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 007; Yong Liu 032 (CoRR, 2024)

Anno-incomplete Multi-dataset Detection. - Yiran Xu; Haoxiang Zhong; Kai Wu; Jialin Li; Yong Liu 032; Chengjie Wang; Shu-Tao Xia; Hongen Liao (CoRR, 2024)

CAR: Controllable Autoregressive Modeling for Visual Generation. - Ziyu Yao 001; Jialin Li; Yifeng Zhou; Yong Liu 032; Xi Jiang 009; Chengjie Wang; Feng Zheng; Yuexian Zou; Lei Li (CoRR, 2024)

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. - Xi Jiang 009; Jian Li 062; Hanqiu Deng; Yong Liu 032; Bin-Bin Gao; Yifeng Zhou; Jialin Li; Chengjie Wang; Feng Zheng (CoRR, 2024)

Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning. - Wujin Li; Bin-Bin Gao; Bizhong Xia; Jinbao Wang; Jun Liu 071; Yong Liu 032; Chengjie Wang; Feng Zheng (IEEE Trans. Multim., 2024)

IM-IAD: Industrial Image Anomaly Detection Benchmark in Manufacturing. - Guoyang Xie; Jinbao Wang; Jiaqi Liu 004; Jiayi Lyu; Yong Liu 032; Chengjie Wang; Feng Zheng; Yaochu Jin (IEEE Trans. Cybern., 2024)

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. - Xi Jiang 009; Jian Li 062; Hanqiu Deng; Yong Liu 032; Bin-Bin Gao; Yifeng Zhou; Jialin Li; Chengjie Wang; Feng Zheng (ICLR, 2025)

SoftPatch+: Fully unsupervised anomaly classification and segmentation. - Chengjie Wang; Xi Jiang 009; Bin-Bin Gao; Zhenye Gan; Yong Liu 032; Feng Zheng; Lizhuang Ma (Pattern Recognit., 2025)

AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. - Bin-Bin Gao; Yue Zhou; Jiangtao Yan; Yuezhi Cai; Weixi Zhang; Meng Wang; Jun Liu 071; Yong Liu 032; Lei Wang; Chengjie Wang (CoRR, 2025)