Selected Publications

[Full Publications] [Google Scholar]

• Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
  B.-B. Gao
  European Conference on Computer Vision (ECCV 2024), Milan, Italy, Sep.-Oct. 2024, pp.xx-xx.
  [Code] [Poster] [Slides] [Video Presentation] [CCF-B]

• Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
  G. Gui*, B.-B. Gao*, J. Liu, C. Wang and Y. Wu
  European Conference on Computer Vision (ECCV 2024), Milan, Italy, Sep.-Oct. 2024, pp.xx-xx.
  [Code] [Poster] [CCF-B]

• Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
  H. Zhang*, B.-B. Gao*, Y. Zeng, X. Tian, X. Tan#, Z. Zhang, Y. Qu, J. Liu and Y. Xie
  AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb 2024, pp.7096-7104.
  [Code, Coming soon] [CCF-A]
  

• Cross-Modal Alternating Learning with Task-Aware Representations for Continual Learning
  W. Li*, B.-B. Gao*#, B. Xia, J. Wang, J. Liu, Y. Liu, C. Wang and F. Zheng
  IEEE Transactions on Multimedia (IEEE TMM), 26:5911-5924, 2023.
  [Code] [CCF-B, SCI-1, IF:7.3]

• How to Reduce Change Detection to Semantic Segmentation
  G.-H. Wang, B.-B. Gao# and C. Wang
  Pattern Recognition (PR), 2023.
  [Code] [CCF-B, SCI-1, IF:8.0]

• Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
  B.-B. Gao#, X. Chen, Z. Huang, C. Nie, J. Liu, J. Lai, G. Jiang, X. Wang and C. Wang#
  Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec 2022, pp.18640-18652.
  [Code] [Project] [Slides] [FSOD-Leaderboard] [Video Presentation] [CCF-A]

• APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation
  J. Chen*, B.-B. Gao*#, Z. Lu, J.-H. Xue, C. Wang and Q. Liao
  IEEE Transactions on Multimedia (IEEE TMM), 25:4361-4373, 2022.
  [CCF-B, SCI-1, IF:7.3]

• Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition
  B.-B. Gao# and H.-Y. Zhou
  IEEE Transactions on Image Processing (IEEE TIP), 20:5920-5932, 2021.
  [Code] [CCF-A, SCI-1, IF:10.6]

• Age Estimation Using Expectation of Label Distribution Learning
  B.-B. Gao, H.-Y. Zhou, J. Wu# and X. Geng
  Int'l Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, Jul 2018, pp.712-718.
  [Code] [Project] [CCF-A]

• Deep Label Distribution Learning with Label Ambiguity
  B.-B. Gao, C. Xing, C.-W. Xie, J. Wu# and X. Geng
  IEEE Transactions on Image Processing (IEEE TIP), 26(6):2825-2838, 2017.
  [Code] [Project] [CCF-A, SCI-1, IF:10.6] [ESI Highly Cited Paper, Top 1%]