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Bin-Bin Gao
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2020 – today
- 2024
- [j7]Bin-Bin Gao
, Zhongyi Huang:
CSTrans: Correlation-guided Self-Activation Transformer for Counting Everything. Pattern Recognit. 153: 110556 (2024) - [j6]Wujin Li
Cross-Modal Alternating Learning With Task-Aware Representations for Continual Learning. IEEE Trans. Multim. 26: 5911-5924 (2024) - [c22]Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang:
MatchDet: A Collaborative Framework for Image Matching and Object Detection. AAAI 2024: 2858-2865 - [c21]Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng:
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. AAAI 2024: 3639-3647 - [c20]Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie:
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. AAAI 2024: 7096-7104 - [c19]Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jiangning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma:
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CVPR 2024: 22883-22892 - [i25]Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng:
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt. CoRR abs/2401.01010 (2024) - [i24]Chengjie Wang, Wenbing Zhu, Bin-Bin Gao, Zhenye Gan, Jianning Zhang, Zhihao Gu, Shuguang Qian, Mingang Chen, Lizhuang Ma:
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection. CoRR abs/2403.12580 (2024) - [i23]Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng:
SoftPatch: Unsupervised Anomaly Detection with Noisy Data. CoRR abs/2403.14233 (2024) - [i22]Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao, Jun Liu, Xiaochen Chen, Chengjie Wang:
Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning. CoRR abs/2407.01905 (2024) - 2023
- [j5]Bin-Bin Gao
Jointly learning distribution and expectation in a unified framework for facial age and attractiveness estimation. Neural Comput. Appl. 35(21): 15583-15599 (2023) - [j4]Guo-Hua Wang, Bin-Bin Gao
How to Reduce Change Detection to Semantic Segmentation. Pattern Recognit. 138: 109384 (2023) - [j3]Jiacheng Chen
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. IEEE Trans. Multim. 25: 4361-4373 (2023) - [c18]Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang:
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. AAAI 2023: 8430-8437 - [c17]Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang:
Clustered-patch Element Connection for Few-shot Learning. IJCAI 2023: 991-998 - [i21]Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao
SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. CoRR abs/2303.09281 (2023) - [i20]Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang:
Clustered-patch Element Connection for Few-shot Learning. CoRR abs/2304.10093 (2023) - [i19]Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR abs/2308.12017 (2023) - [i18]Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang:
MatchDet: A Collaborative Framework for Image Matching and Object Detection. CoRR abs/2312.10983 (2023) - 2022
- [c16]Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao
tSF: Transformer-Based Semantic Filter for Few-Shot Learning. ECCV (20) 2022: 1-19 - [c15]Chenliang Gu, Changan Wang, Bin-Bin Gao
HDNet: A Hierarchically Decoupled Network for Crowd Counting. ICME 2022: 1-6 - [c14]Wujin Li
Towards Continual Adaptation in Industrial Anomaly Detection. ACM Multimedia 2022: 2871-2880 - [c13]Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. ACM Multimedia 2022: 4021-4030 - [c12]Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. ACM Multimedia 2022: 6318-6326 - [c11]Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang:
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation. NeurIPS 2022 - [i17]Guo-Hua Wang, Bin-Bin Gao
How to Reduce Change Detection to Semantic Segmentation. CoRR abs/2206.07557 (2022) - [i16]Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao
tSF: Transformer-based Semantic Filter for Few-Shot Learning. CoRR abs/2211.00868 (2022) - [i15]Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. CoRR abs/2211.00890 (2022) - [i14]Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. CoRR abs/2211.12716 (2022) - [i13]Chenliang Gu, Changan Wang, Bin-Bin Gao
HDNet: A Hierarchically Decoupled Network for Crowd Counting. CoRR abs/2212.05722 (2022) - 2021
- [j2]Bin-Bin Gao
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition. IEEE Trans. Image Process. 30: 5920-5932 (2021) - [c10]Feng Luo, Xiu Li, Bin-Bin Gao
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. IJCNN 2021: 1-8 - [i12]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. CoRR abs/2104.09216 (2021) - [i11]Feng Luo, Bin-Bin Gao, Jiangpeng Yan, Xiu Li:
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. CoRR abs/2106.10213 (2021) - [i10]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. CoRR abs/2111.12263 (2021) - 2020
- [i9]Bin-Bin Gao, Hong-Yu Zhou:
Multi-Label Image Recognition with Multi-Class Attentional Regions. CoRR abs/2007.01755 (2020) - [i8]Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR abs/2007.01771 (2020)
2010 – 2019
- 2018
- [c9]Bin-Bin Gao
Age Estimation Using Expectation of Label Distribution Learning. IJCAI 2018: 712-718 - 2017
- [j1]Bin-Bin Gao
Deep Label Distribution Learning With Label Ambiguity. IEEE Trans. Image Process. 26(6): 2825-2838 (2017) - [c8]Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. BMVC 2017 - [c7]Hong-Yu Zhou
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. ICCV 2017: 3525-3533 - [i7]Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. CoRR abs/1707.06335 (2017) - [i6]Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu:
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. CoRR abs/1707.06399 (2017) - [i5]Bin-Bin Gao, Jian-Jun Wang:
A Fast and Robust TSVM for Pattern Classification. CoRR abs/1711.05406 (2017) - 2016
- [c6]Jianxin Wu, Bin-Bin Gao, Guoqing Liu:
Representing Sets of Instances for Visual Recognition. AAAI 2016: 2237-2243 - [c5]Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao
Exploit Bounding Box Annotations for Multi-Label Object Recognition. CVPR 2016: 280-288 - [i4]Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng:
Deep Label Distribution Learning with Label Ambiguity. CoRR abs/1611.01731 (2016) - 2015
- [c4]Xiu-Shen Wei, Bin-Bin Gao
Deep Spatial Pyramid Ensemble for Cultural Event Recognition. ICCV Workshops 2015: 280-286 - [c3]Xu Yang, Bin-Bin Gao
Deep Label Distribution Learning for Apparent Age Estimation. ICCV Workshops 2015: 344-350 - [c2]Bin-Bin Gao
Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. ICMLA 2015: 7-12 - [i3]Jianxin Wu, Bin-Bin Gao, Guoqing Liu:
Visual Recognition Using Directional Distribution Distance. CoRR abs/1504.04792 (2015) - [i2]Bin-Bin Gao, Xiu-Shen Wei, Jianxin Wu, Weiyao Lin:
Deep Spatial Pyramid: The Devil is Once Again in the Details. CoRR abs/1504.05277 (2015) - [i1]Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai:
Can Partial Strong Labels Boost Multi-label Object Recognition? CoRR abs/1504.05843 (2015) - 2012
- [c1]Bin-Bin Gao
L2-loss twin support vector machine for classification. BMEI 2012: 1265-1269
Coauthor Index
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