| Deep label distribution learning with label ambiguity BB Gao, C Xing, CW Xie, J Wu, X Geng IEEE Transactions on Image Processing (TIP) 26 (6), 2825-2838, 2017 | 538 | 2017 |
| Exploit bounding box annotations for multi-label object recognition H Yang, J Tianyi Zhou, Y Zhang, BB Gao, J Wu, J Cai IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), 280-288, 2016 | 216 | 2016 |
| Age Estimation Using Expectation of Label Distribution Learning BB Gao, HY Zhou, J Wu, X Gen International Joint Conference on Artificial Intelligence (IJCAI 2018), 712-718, 2018 | 186 | 2018 |
| Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition BB Gao, HY Zhou IEEE Transactions on Image Processing (TIP) 30, 5920 - 5932, 2021 | 156 | 2021 |
| Deep label distribution learning for apparent age estimation X Yang, BB Gao, C Xing, ZW Huo, XS Wei, Y Zhou, J Wu, X Geng IEEE International Conference on Computer Vision Workshops (ICCVW 2015), 102-108, 2015 | 128 | 2015 |
| Deep Spatial Pyramid: The Devil is Once Again in the Details BB Gao, XS Wei, J Wu, W Lin arXiv preprint arXiv:1504.05277, 2015 | 59 | 2015 |
| APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation J Chen*, BB Gao*, Z Lu, JH Xue, C Wang, Q Liao IEEE Transactions on Multimedia (TMM) 25, 4361-4373, 2022 | 47* | 2022 |
| Coordinate descent fuzzy twin support vector machine for classification BB Gao, JJ Wang, Y Wang, CY Yang IEEE International Conference on Machine Learning and Applications (ICMLA …, 2015 | 40 | 2015 |
| Adaptive feeding: Achieving fast and accurate detections by adaptively combining object detectors HY Zhou, BB Gao, J Wu IEEE International Conference on Computer Vision (ICCV 2017), 3505-3513, 2017 | 37 | 2017 |
| Deep spatial pyramid ensemble for cultural event recognition XS Wei, BB Gao, J Wu IEEE International Conference on Computer Vision Workshops (ICCVW 2015), 38-44, 2015 | 37 | 2015 |
| Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation BB Gao, X Chen, Z Huang, C Nie, J Liu, J Lai, G Jiang, X Wang, C Wang Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 31 | 2022 |
| Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection C Wang, W Zhu, BB Gao, Z Gan, J Zhang, Z Gu, S Qian, M Chen, L Ma IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2024), 2024 | 26 | 2024 |
| Learning expectation of label distribution for facial age and attractiveness estimation BB Gao, XX Liu, HY Zhou, J Wu, X Geng arXiv preprint arXiv:2007.01771, 2020 | 25 | 2020 |
| How to Reduce Change Detection to Semantic Segmentation GH Wang, BB Gao, C Wang Pattern Recognition 138, 2023 | 24 | 2023 |
| tsf: Transformer-based semantic filter for few-shot learning J Lai, S Yang, W Liu, Y Zeng, Z Huang, W Wu, J Liu, BB Gao, C Wang European Conference on Computer Vision (ECCV 2022), 1-19, 2022 | 23 | 2022 |
| Towards continual adaptation in industrial anomaly detection W Li, J Zhan, J Wang, B Xia, BB Gao, J Liu, C Wang, F Zheng 30th ACM International Conference on Multimedia (ACM-MM 2022), 2871-2880, 2022 | 18 | 2022 |
| Sunrise or sunset: Selective comparison learning for subtle attribute recognition HY Zhou, BB Gao, J Wu British Machine Vision Conference (BMVC 2017), 1-12, 2017 | 16 | 2017 |
| Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt J Liu, K Wu, Q Nie, Y Chen, BB Gao, Y Liu, J Wang, C Wang, F Zheng Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024 | 14 | 2024 |
| Representing Sets of Instances for Visual Recognition J Wu, BB Gao, G Liu Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016), 2237-2243, 2016 | 12* | 2016 |
| Clustered-patch Element Connection for Few-shot Learning J Lai, S Yang, J Zhou, W Wu, X Chen, J Liu, BB Gao, C Wang International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023 | 11 | 2023 |
Jianxin Wu (吴建鑫)Nanjing UniversityEmail verificata su nju.edu.cn