Bin-Bin Gao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | 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 |
| 2025 | CVPR | Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection. | 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 |
| 2025 | ICLR | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | AAAI | 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 |
| 2024 | BMVC | 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 |
| 2024 | CVPR | Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. | Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jiangning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma |
| 2024 | ECCV | Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt. | Bin-Bin Gao |
| 2024 | ECCV | Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. | Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu |
| 2023 | AAAI | 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 |
| 2023 | IJCAI | 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 |
| 2022 | ECCV | 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 |
| 2021 | IJCNN | A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. | Feng Luo, Xiu Li, Bin-Bin Gao, Jiangpeng Yan |
| 2018 | IJCAI | Age Estimation Using Expectation of Label Distribution Learning. | Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng |
| 2017 | BMVC | Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. | Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu |
| 2017 | ICCV | Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. | Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu |
| 2016 | AAAI | Representing Sets of Instances for Visual Recognition. | Jianxin Wu, Bin-Bin Gao, Guoqing Liu |
| 2016 | CVPR | Exploit Bounding Box Annotations for Multi-Label Object Recognition. | Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai |
| 2015 | ICMLA | Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. | Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang |