Bin-Bin Gao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 44

Top Topics

Semantic Segmentation

Top Venues

IEEE Trans. Image Process.

Publications

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 (2024)
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. IEEE Trans. Multim. 25 (2023)
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)
Bin-Bin Gao
Jointly learning distribution and expectation in a unified framework for facial age and attractiveness estimation. Neural Comput. Appl. 35 (21) (2023)
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)
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. CoRR (2023)
Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang
How to Reduce Change Detection to Semantic Segmentation. Pattern Recognit. 138 (2023)
Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR (2023)
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 (2023)
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 (2023)
Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
tSF: Transformer-based Semantic Filter for Few-Shot Learning. CoRR (2022)
Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang
HDNet: A Hierarchically Decoupled Network for Crowd Counting. ICME (2022)
Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang
tSF: Transformer-Based Semantic Filter for Few-Shot Learning. ECCV (20) (2022)
Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. CoRR (2022)
Guo-Hua Wang, Bin-Bin Gao, Chengjie Wang
How to Reduce Change Detection to Semantic Segmentation. CoRR (2022)
Jiawei Zhan, Jun Liu, Wei Tang, Guannan Jiang, Xi Wang, Bin-Bin Gao, Tianliang Zhang, Wenlong Wu, Wei Zhang, Chengjie Wang, Yuan Xie
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision. ACM Multimedia (2022)
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)
Chenliang Gu, Changan Wang, Bin-Bin Gao, Jun Liu, Tianliang Zhang
HDNet: A Hierarchically Decoupled Network for Crowd Counting. CoRR (2022)
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
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. CoRR (2022)
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
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective. ACM Multimedia (2022)
Wujin Li, Jiawei Zhan, Jinbao Wang, Bizhong Xia, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng
Towards Continual Adaptation in Industrial Anomaly Detection. ACM Multimedia (2022)
Feng Luo, Xiu Li, Bin-Bin Gao, Jiangpeng Yan
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. IJCNN (2021)
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 (2021)
Bin-Bin Gao, Hong-Yu Zhou
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition. IEEE Trans. Image Process. 30 (2021)
Feng Luo, Bin-Bin Gao, Jiangpeng Yan, Xiu Li
A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation. CoRR (2021)
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 (2021)
Bin-Bin Gao, Hong-Yu Zhou
Multi-Label Image Recognition with Multi-Class Attentional Regions. CoRR (2020)
Bin-Bin Gao, Xinxin Liu, Hong-Yu Zhou, Jianxin Wu, Xin Geng
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation. CoRR (2020)
Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
Age Estimation Using Expectation of Label Distribution Learning. IJCAI (2018)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. CoRR (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. CoRR (2017)
Bin-Bin Gao, Jian-Jun Wang
A Fast and Robust TSVM for Pattern Classification. CoRR (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors. ICCV (2017)
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition. BMVC (2017)
Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
Deep Label Distribution Learning With Label Ambiguity. IEEE Trans. Image Process. 26 (6) (2017)
Jianxin Wu, Bin-Bin Gao, Guoqing Liu
Representing Sets of Instances for Visual Recognition. AAAI (2016)
Bin-Bin Gao, Chao Xing, Chen-Wei Xie, Jianxin Wu, Xin Geng
Deep Label Distribution Learning with Label Ambiguity. CoRR (2016)
Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai
Exploit Bounding Box Annotations for Multi-Label Object Recognition. CVPR (2016)
Xu Yang, Bin-Bin Gao, Chao Xing, Zeng-Wei Huo, Xiu-Shen Wei, Ying Zhou, Jianxin Wu, Xin Geng
Deep Label Distribution Learning for Apparent Age Estimation. ICCV Workshops (2015)
Jianxin Wu, Bin-Bin Gao, Guoqing Liu
Visual Recognition Using Directional Distribution Distance. CoRR (2015)
Bin-Bin Gao, Jian-Jun Wang, Yao Wang, Chan-Yun Yang
Coordinate Descent Fuzzy Twin Support Vector Machine for Classification. ICMLA (2015)
Bin-Bin Gao, Xiu-Shen Wei, Jianxin Wu, Weiyao Lin
Deep Spatial Pyramid: The Devil is Once Again in the Details. CoRR (2015)
Hao Yang, Joey Tianyi Zhou, Yu Zhang, Bin-Bin Gao, Jianxin Wu, Jianfei Cai
Can Partial Strong Labels Boost Multi-label Object Recognition? CoRR (2015)
Xiu-Shen Wei, Bin-Bin Gao, Jianxin Wu
Deep Spatial Pyramid Ensemble for Cultural Event Recognition. ICCV Workshops (2015)
Bin-Bin Gao, Jian-Jun Wang, Hua Huang
L2-loss twin support vector machine for classification. BMEI (2012)