Bbn: Bilateral-branch network with cumulative learning for long-tailed visual recognition B Zhou, Q Cui, XS Wei, ZM Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 997 | 2020 |
Decoupled knowledge distillation B Zhao, Q Cui, R Song, Y Qiu, J Liang Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2022 | 799 | 2022 |
RPC: A large-scale and fine-grained retail product checkout dataset XS Wei, Q Cui, L Yang, P Wang, L Liu, J Yang Science China. Information Sciences 65 (9), 197101, 2022 | 194* | 2022 |
Deep learning for fine-grained image analysis: A survey XS Wei, J Wu, Q Cui arXiv preprint arXiv:1907.03069, 2019 | 128 | 2019 |
SST: Spatial and semantic transformers for multi-label image recognition ZM Chen, Q Cui, B Zhao, R Song, X Zhang, O Yoshie IEEE Transactions on Image Processing 31, 2570-2583, 2022 | 67 | 2022 |
ExchNet: A unified hashing network for large-scale fine-grained image retrieval Q Cui, QY Jiang, XS Wei, WJ Li, O Yoshie Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 49 | 2020 |
A simple framework for text-supervised semantic segmentation M Yi, Q Cui, H Wu, C Yang, O Yoshie, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 38 | 2023 |
Contrastive vision-language pre-training with limited resources Q Cui, B Zhou, Y Guo, W Yin, H Wu, O Yoshie, Y Chen European Conference on Computer Vision, 236-253, 2022 | 35* | 2022 |
Disentangling, embedding and ranking label cues for multi-label image recognition ZM Chen, Q Cui, XS Wei, X Jin, Y Guo IEEE Transactions on Multimedia 23, 1827-1840, 2020 | 27 | 2020 |
Discriminability-transferability trade-off: an information-theoretic perspective Q Cui, B Zhao, ZM Chen, B Zhao, R Song, B Zhou, J Liang, O Yoshie European Conference on Computer Vision, 20-37, 2022 | 18 | 2022 |
Dot: A distillation-oriented trainer B Zhao, Q Cui, R Song, J Liang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
Vision learners meet web image-text pairs B Zhao, Q Cui, H Wu, O Yoshie, C Yang, O Mac Aodha arXiv preprint arXiv:2301.07088, 2023 | 4 | 2023 |
Delving into the representation learning of deep hashing Q Cui, ZM Chen, O Yoshie Neurocomputing 494, 67-78, 2022 | 3 | 2022 |
Towards Gradient Equalization and Feature Diversification for Long-Tailed Multi-Label Image Recognition ZM Chen, Q Cui, X Zhang, R Deng, C Xia, S Lu IEEE Transactions on Multimedia, 2025 | | 2025 |
Method, apparatus, device and storage medium for feature aggregation Q Cui, M Yi, H Wu, C Yang US Patent App. 18/609,182, 2024 | | 2024 |
Method, apparatus, device and storage medium for image segmentation Q Cui, M Yi, H Wu, C Yang US Patent App. 18/634,560, 2024 | | 2024 |
Modeling Label Correlations with Latent Context for Multi-label Recognition Z Chen, Q Cui, R Deng, J Hu, G Zhang European Conference on Computer Vision, 218-234, 2024 | | 2024 |
Image encoding learning and application Q Cui, H Wu, C Yang US Patent App. 18/398,945, 2024 | | 2024 |
Method, apparatus, device, and medium for determining update gradient for contrastive learning model H Wu, Y Guo, Q Cui, Z Boyan, C Yang US Patent App. 18/472,973, 2024 | | 2024 |
Method, apparatus, device and medium for training and applying a contrastive learning model H Wu, Q Cui, Z Boyan, C Yang US Patent App. 18/472,601, 2024 | | 2024 |