| 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 | 867 | 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 | 565 | 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 | 178* | 2022 |
| Deep learning for fine-grained image analysis: A survey XS Wei, J Wu, Q Cui arXiv preprint arXiv:1907.03069, 2019 | 124 | 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 | 55 | 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 | 42 | 2020 |
| 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 | 25* | 2022 |
| 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 | 23 | 2023 |
| 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 | 23 | 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 | 14 | 2022 |
| 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 |
| DOT: A Distillation-Oriented Trainer B Zhao, Q Cui, R Song, J Liang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| 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 |
| Methods, apparatuses, device, and medium for contrastive learning H Wu, Z Boyan, Q Cui, C Yang US Patent App. 18/472,605, 2024 | | 2024 |
| Method, apparatus, device and medium for training contrastive learning model H Wu, Z Boyan, Q Cui, C Yang US Patent App. 18/496,769, 2024 | | 2024 |
| An Effective De-noising Algorithm for Making A Large Celebrity Face Dataset with A High Purity Z Ge, Q Cui, R Xu, M Imai, O Yoshie IEICE Technical Report; IEICE Tech. Rep. 117 (238), 25-30, 2017 | | 2017 |
