Gao, Bin-Bin

19 publications

ICLR 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

CVPR 2025 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

ECCV 2024 Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu

AAAI 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

ECCV 2024 Learning to Detect Multi-Class Anomalies with Just One Normal Image Prompt Bin-Bin Gao

AAAI 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

NeurIPS 2024 MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao

CVPR 2024 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

AAAI 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

IJCAI 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

AAAI 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

NeurIPS 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

ECCV 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

IJCAI 2018 Age Estimation Using Expectation of Label Distribution Learning Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng

ICCV 2017 Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu

CVPR 2016 Exploit Bounding Box Annotations for Multi-Label Object Recognition Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai

AAAI 2016 Representing Sets of Instances for Visual Recognition Jianxin Wu, Bin-Bin Gao, Guoqing Liu

ICCVW 2015 Deep Label Distribution Learning for Apparent Age Estimation Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng

ICCVW 2015 Deep Spatial Pyramid Ensemble for Cultural Event Recognition Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu