Bin-Bin Gao - RankMe

81 papers A* 19A 3B 1C 1Journal 51Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison. CoRR Xi Jiang, Yue Guo, Jian Li, Yong Liu, Bin-Bin Gao, Hanqiu Deng, Jun Liu, Heng Zhao, Chengjie Wang, Feng Zheng
2026	A*	`conf`	AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. AAAI Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang
2026	J	`jnl`	ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning. CoRR Xiaofeng Tan, Jun Liu, Yuanting Fan, Bin-Bin Gao, Xi Jiang, Xiaochen Chen, Jinlong Peng, Chengjie Wang, Hongsong Wang, Feng Zheng
2026	J	`jnl`	Learning Trajectory-Aware Multimodal Large Language Models for Video Reasoning Segmentation. CoRR Jingnan Luo, Mingqi Gao, Jun Liu, Bin-Bin Gao, Feng Zheng
2026	J	`jnl`	One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection. CoRR Bin-Bin Gao, Chengjie Wang
2026	J	`jnl`	Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era. Pattern Recognit. Wenbing Zhu, Chengjie Wang, Bin-Bin Gao, Jiangning Zhang, Guannan Jiang, Jie Hu, Zhenye Gan, Lidong Wang, Ziqing Zhou, Jianghui Zhang, Linjie Cheng, Yurui Pan, Bo Peng, Mingmin Chi, Lizhuang Ma
2026	J	`jnl`	Towards fine-grained vision-language alignment for few-shot anomaly detection. Pattern Recognit. Yuanting Fan, Jun Liu, Xiaochen Chen, Bin-Bin Gao, Jian Li, Yong Liu, Jinlong Peng, Chengjie Wang
2025	J	`jnl`	AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. CoRR Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang
2025	A*	`conf`	BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation. ACM Multimedia Jinxiang Lai, Wenlong Wu, Jiawei Zhan, Jian Li, Bin-Bin Gao, Jun Liu, Jie Zhang, Song Guo
2025	J	`jnl`	BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation. CoRR Jinxiang Lai, Wenlong Wu, Jiawei Zhan, Jian Li, Bin-Bin Gao, Jun Liu, Jie Zhang, Song Guo
2025	J	`jnl`	DRL: Discriminative Representation Learning with Parallel Adapters for Class Incremental Learning. CoRR Jiawei Zhan, Jun Liu, Jinlong Peng, Xiaochen Chen, Bin-Bin Gao, Yong Liu, Chengjie Wang
2025	J	`jnl`	Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation. CoRR Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang
2025	J	`jnl`	Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. CoRR Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu
2025	J	`jnl`	Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt. CoRR Bin-Bin Gao
2025	A*	`conf`	MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. ICLR Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
2025	J	`jnl`	MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning. CoRR Bin-Bin Gao
2025	A*	`conf`	Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection. CVPR 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	J	`jnl`	Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection. CoRR 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	J	`jnl`	Real-IAD Variety: Pushing Industrial Anomaly Detection Dataset to a Modern Era. CoRR Wenbing Zhu, Chengjie Wang, Bin-Bin Gao, Jiangning Zhang, Guannan Jiang, Jie Hu, Zhenye Gan, Lidong Wang, Ziqing Zhou, Linjie Cheng, Yurui Pan, Bo Peng, Mingmin Chi, Lizhuang Ma
2025	J	`jnl`	SoftPatch+: Fully unsupervised anomaly classification and segmentation. Pattern Recognit. Chengjie Wang, Xi Jiang, Bin-Bin Gao, Zhenye Gan, Yong Liu, Feng Zheng, Lizhuang Ma
2025	J	`jnl`	Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection. CoRR Yuanting Fan, Jun Liu, Xiaochen Chen, Bin-Bin Gao, Jian Li, Yong Liu, Jinlong Peng, Chengjie Wang
2024	J	`jnl`	CSTrans: Correlation-guided Self-Activation Transformer for Counting Everything. Pattern Recognit. Bin-Bin Gao, Zhongyi Huang
2024	J	`jnl`	Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning. IEEE Trans. Multim. Wujin Li, Bin-Bin Gao, Bizhong Xia, Jinbao Wang, Jun Liu, Yong Liu, Chengjie Wang, Feng Zheng
2024	A	`conf`	Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. BMVC Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
2024	J	`jnl`	Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning. CoRR Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao, Jun Liu, Xiaochen Chen, Chengjie Wang
2024	—	`conf`	Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation. ECCV (83) Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu
2024	A*	`conf`	Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. AAAI Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie
2024	—	`conf`	Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt. ECCV (67) Bin-Bin Gao
2024	J	`jnl`	MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection. CoRR Xi Jiang, Jian Li, Hanqiu Deng, Yong Liu, Bin-Bin Gao, Yifeng Zhou, Jialin Li, Chengjie Wang, Feng Zheng
2024	A*	`conf`	MatchDet: A Collaborative Framework for Image Matching and Object Detection. AAAI Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang
2024	A*	`conf`	MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning. NeurIPS Bin-Bin Gao
2024	A*	`conf`	Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CVPR Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jiangning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma
2024	J	`jnl`	Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CoRR Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jianning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma
2024	J	`jnl`	SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation. CoRR Chengjie Wang, Xi Jiang, Bin-Bin Gao, Zhenye Gan, Yong Liu, Feng Zheng, Lizhuang Ma
2024	J	`jnl`	SoftPatch: Unsupervised Anomaly Detection with Noisy Data. CoRR Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng
2024	A*	`conf`	Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. AAAI Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng
2024	J	`jnl`	Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt. CoRR Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng
2023	J	`jnl`	APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. IEEE Trans. Multim. Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
2023	A*	`conf`	Clustered-patch Element Connection for Few-shot Learning. IJCAI Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang
2023	J	`jnl`	Clustered-patch Element Connection for Few-shot Learning. CoRR Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang
2023	J	`jnl`	Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
2023	J	`jnl`	How to Reduce Change Detection to Semantic Segmentation. Pattern Recognit. Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang
2023	J	`jnl`	Jointly learning distribution and expectation in a unified framework for facial age and attractiveness estimation. Neural Comput. Appl. Bin-Bin Gao
2023	J	`jnl`	MatchDet: A Collaborative Framework for Image Matching and Object Detection. CoRR Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang
2023	A*	`conf`	SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. AAAI Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2023	J	`jnl`	SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. CoRR Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2022	A*	`conf`	Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation. NeurIPS Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang
2022	A*	`conf`	Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. ACM Multimedia Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
2022	J	`jnl`	Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. CoRR Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
2022	A	`conf`	HDNet: A Hierarchically Decoupled Network for Crowd Counting. ICME Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang
2022	J	`jnl`	HDNet: A Hierarchically Decoupled Network for Crowd Counting. CoRR Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang
2022	J	`jnl`	How to Reduce Change Detection to Semantic Segmentation. CoRR Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang
2022	A*	`conf`	Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. ACM Multimedia Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2022	J	`jnl`	Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. CoRR Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang
2022	A*	`conf`	Towards Continual Adaptation in Industrial Anomaly Detection. ACM Multimedia Wujin Li, Jiawei Zhan, Jinbao Wang, Bizhong Xia, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng
2022	—	`conf`	tSF: Transformer-Based Semantic Filter for Few-Shot Learning. ECCV (20) Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
2022	J	`jnl`	tSF: Transformer-based Semantic Filter for Few-Shot Learning. CoRR Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
2021	B	`conf`	A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. IJCNN Feng Luo, Xiu Li, Bin-Bin Gao, Jiangpeng Yan
2021	J	`jnl`	A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. CoRR Feng Luo, Bin-Bin Gao, Jiangpeng Yan, Xiu Li
2021	J	`jnl`	APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. CoRR Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
2021	J	`jnl`	Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition. IEEE Trans. Image Process. Bin-Bin Gao, Hong-Yu Zhou
2021	J	`jnl`	SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. CoRR Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
2020	J	`jnl`	Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2020	J	`jnl`	Multi-Label Image Recognition with Multi-Class Attentional Regions. CoRR Bin-Bin Gao, Hong-Yu Zhou
2018	A*	`conf`	Age Estimation Using Expectation of Label Distribution Learning. IJCAI Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
2017	J	`jnl`	A Fast and Robust TSVM for Pattern Classification. CoRR Bin-Bin Gao, Jian-Jun Wang
2017	A*	`conf`	Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. ICCV Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017	J	`jnl`	Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. CoRR Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017	J	`jnl`	Deep Label Distribution Learning With Label Ambiguity. IEEE Trans. Image Process. Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
2017	A	`conf`	Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. BMVC Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2017	J	`jnl`	Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. CoRR Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
2016	J	`jnl`	Deep Label Distribution Learning with Label Ambiguity. CoRR Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
2016	A*	`conf`	Exploit Bounding Box Annotations for Multi-Label Object Recognition. CVPR Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai
2016	A*	`conf`	Representing Sets of Instances for Visual Recognition. AAAI Jianxin Wu, Bin-Bin Gao, Guoqing Liu
2015	J	`jnl`	Can Partial Strong Labels Boost Multi-label Object Recognition? CoRR Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai
2015	C	`conf`	Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. ICMLA Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang
2015	—	`conf`	Deep Label Distribution Learning for Apparent Age Estimation. ICCV Workshops Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng
2015	—	`conf`	Deep Spatial Pyramid Ensemble for Cultural Event Recognition. ICCV Workshops Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu
2015	J	`jnl`	Deep Spatial Pyramid: The Devil is Once Again in the Details. CoRR Bin-Bin Gao, Xiu-Shen Wei, Jianxin Wu, Weiyao Lin
2015	J	`jnl`	Visual Recognition Using Directional Distribution Distance. CoRR Jianxin Wu, Bin-Bin Gao, Guoqing Liu
2012	—	`conf`	L2-loss twin support vector machine for classification. BMEI Bin-Bin Gao, Jian-Jun Wang, Hua Huang