PPaperPicks

Bin-Bin Gao

12 papers at tracked venues · 9 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×4CVPR ×2ECCV ×2ACM MM ×1BMVC ×1ICLR ×1NeurIPS ×1

Frequent coauthors

Chengjie Wang
×7
Jun Liu
×5
Yong Liu
×4
Jinxiang Lai
×2
Wenlong Wu
×2
Jiawei Zhan
×2
Jian Li
×2
Jialin Li
×2
Feng Zheng
×2
Wenbing Zhu
×2
Jiangning Zhang
×2
Zhenye Gan
×2

Papers

  1. AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
    AAAI 2026 · Bin-Bin Gao,
    Yue Zhou
    ,
    Jiangtao Yan
    ,
    Yuezhi Cai
    ,
    Weixi Zhang
    ,
    Meng Wang
    ,
    Jun Liu
    ,
    Yong Liu
    ,
    Lei Wang
    ,
    Chengjie Wang
  2. BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
    ACM MM 2025 ·
    Jinxiang Lai
    ,
    Wenlong Wu
    ,
    Jiawei Zhan
    ,
    Jian Li
    , Bin-Bin Gao,
    Jun Liu
    ,
    Jie Zhang
    ,
    Song Guo
  3. MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
    ICLR 2025 ·
    Xi Jiang
    ,
    Jian Li
    ,
    Hanqiu Deng
    ,
    Yong Liu
    , Bin-Bin Gao,
    Yifeng Zhou
    ,
    Jialin Li
    ,
    Chengjie Wang
    ,
    Feng Zheng
  4. Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
    CVPR 2025 ·
    Wenbing Zhu
    ,
    Lidong Wang
    ,
    Ziqing Zhou
    ,
    Chengjie Wang
    ,
    Yurui Pan
    ,
    Ruoyi Zhang
    ,
    Zhuhao Chen
    ,
    Linjie Cheng
    , Bin-Bin Gao,
    Jiangning Zhang
    ,
    Zhenye Gan
    ,
    Yuxie Wang
    ,
    Yulong Chen
    ,
    Shuguang Qian
    ,
    Mingmin Chi
    ,
    Bo Peng
    ,
    Lizhuang Ma
  5. Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
    BMVC 2024 ·
    Donghao Zhou
    ,
    Jialin Li
    ,
    Jinpeng Li
    ,
    Jiancheng Huang
    ,
    Qiang Nie
    ,
    Yong Liu
    , Bin-Bin Gao,
    Qiong Wang
    ,
    Pheng-Ann Heng
    ,
    Guangyong Chen
  6. Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
    ECCV 2024 ·
    Guan Gui
    , Bin-Bin Gao,
    Jun Liu
    ,
    Chengjie Wang
    ,
    Yunsheng Wu
  7. Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
    AAAI 2024 ·
    Hongquan Zhang
    , Bin-Bin Gao,
    Yi Zeng
    ,
    Xudong Tian
    ,
    Xin Tan
    ,
    Zhizhong Zhang
    ,
    Yanyun Qu
    ,
    Jun Liu
    ,
    Yuan Xie
  8. Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
    ECCV 2024 · Bin-Bin Gao
  9. MatchDet: A Collaborative Framework for Image Matching and Object Detection
    AAAI 2024 ·
    Jinxiang Lai
    ,
    Wenlong Wu
    , Bin-Bin Gao,
    Jun Liu
    ,
    Jiawei Zhan
    ,
    Congchong Nie
    ,
    Yi Zeng
    ,
    Chengjie Wang
  10. MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
    NeurIPS 2024 · Bin-Bin Gao
  11. Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
    CVPR 2024 ·
    Chengjie Wang
    ,
    Wenbing Zhu
    , Bin-Bin Gao,
    Zhenye Gan
    ,
    Jiangning Zhang
    ,
    Zhihao Gu
    ,
    Shuguang Qian
    ,
    Mingang Chen
    ,
    Lizhuang Ma
  12. Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
    AAAI 2024 ·
    Jiaqi Liu
    ,
    Kai Wu
    ,
    Qiang Nie
    ,
    Ying Chen
    , Bin-Bin Gao,
    Yong Liu
    ,
    Jinbao Wang
    ,
    Chengjie Wang
    ,
    Feng Zheng