Publications

Conference & Journal Papers

2024

• Equiangular Basis Vectors: A Novel Paradigm for Classification Tasks.
  Y. Shen, X. Sun, X.-S. Wei†, A. Xu, and L. Gao.
  International Journal of Computer Vision (IJCV), in press

• Customized Generation Reimagined: Fidelity and Editability Harmonized
  J. Jin, Y. Shen, Z. Fu†, and J. Yang†.
  European Conference on Computer Vision (ECCV’24), in press
  

• Few-shot open-set recognition via pairwise discriminant aggregation
  J. Jin, Y. Shen, Z. Fu†, and J. Yang†.
  Neurocomputing, 128214
  

2023

• Equiangular Basis Vectors.
  (This work was the winner solution of the 2022 DIGIX global AI challenge.)
  Y. Shen, X. Sun, and X.-S. Wei†.
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR’23), Vancouver, Canada, 2023, pp. 11755-11765. (Acceptance Rates: 2360/9155=25.8%)

• Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval.
  X.-S. Wei, Y. Shen, X. Sun, P. Wang, Y. Peng†.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023. DOI: 10.1109/TPAMI.2023.3299563.

• Attribute-aware knowledge based self-abductive for semi-supervised representation learning, in Chinese.
  Y. Shen, X. Sun, H. Yang, X.-S. Wei†.
  Science China Information Sciences （中国科学：信息科学）, 2023. DOI: 10.1360/SSI-2023-0252.

• Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning.
  J. He, Y. Shen, X.-S. Wei†, Y. Wu.
  ACM MM 2023 (Open Source Competition). 2023, pp. 9656–9659.

2022

• SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval.
  Y. Shen, X. Sun, X.-S. Wei†, Q.-Y. Jiang, and J. Yang.
  European Conference on Computer Vision (ECCV’22), Tel Aviv, Israel, 2022, pp. 531-548. (Acceptance Rates: 1650/5803=28%)

• Delving Deep into Simplicity Bias for Long-Tailed Image Recognition.
  X.-S. Wei†*, X. Sun*, Y. Shen, A. Xu, P. Wang, F. Zhang.
  arXiv preprint arXiv:2302.03264

• Open-Set Object Detection Based on Annular Prototype Space Optimization, in Chinese.
  X. Sun, Y. Shen, X.-S. Wei†, P. An.
  Journal of Image and Graphics (中国图象图形学报), 2023. DOI: 10.11834/jig.220992.

• When large kernel meets vision transformer: A solution for snakeclef & fungiclef
  Y. Shen†, X. Sun, Z. Zhu.
  Working Notes of CVPR 2022-FGVC 9-CLEF 2022.

• A Channel Mix Method for Fine-Grained Cross-Modal Retrieval.
  Y. Shen, X. Sun, X.-S. Wei†, H. Hu, and Z. Chen.
  IEEE Conference on on Multimedia and Expo (ICME’22), Taipei, Taiwan, 2022, DOI: 10.1109/ICME52920.2022.9859609.

• Webly-Supervised Fine-Grained Recognition with Partial Label Learning.
  Y.-Y. Xu*, Y. Shen*, X.-S. Wei†, and J. Yang.
  International Joint Conference on Artificial Intelligence (IJCAI’22), Vienna, Australia, 2022, pp. 1502-1508. (Acceptance Rates: 681/4535=15.02%)

• Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars.
  H. Chen, X.-S. Wei†, F. Zhang, Y. Shen, H. Xu, and L. Xiao.
  European Conference on Computer Vision (ECCV’22), Tel Aviv, Israel, 2022, pp. 277-293. (Acceptance Rates: 1650/5803=28%)

2021

• A^2-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval.
  X.-S. Wei*, Y. Shen*, X. Sun, H.-J. Ye, and J. Yang†.
  Neural Information Processing Systems (NeurIPS’21), Virtual, 2021, pp. 5720-5730. (Spotlight Presentation Acceptance Rates: 282/2334=10%)

Other Papers

• Leaders Matter: Knowledge Sharing in a Medical Discussion Forum in China
  Y. Fu, Y. Shen

• 基于深度哈希的大规模细粒度图像检索.
  魏秀参，沈阳.
  中国计算机学会计算机视觉专委会简报, 2021, 1, 14-15.

Note：† denotes corresponding author，* denotes equal contribution.