| Leveraging prior-knowledge for weakly supervised object detection under a collaborative self-paced curriculum learning framework D Zhang, J Han, L Zhao, D Meng International Journal of Computer Vision 127, 363-380, 2019 | 183 | 2019 |
| Bridging saliency detection to weakly supervised object detection based on self-paced curriculum learning D Zhang, D Meng, L Zhao, J Han arXiv preprint arXiv:1703.01290, 2017 | 100 | 2017 |
| From discriminant to complete: Reinforcement searching-agent learning for weakly supervised object detection D Zhang, J Han, L Zhao, T Zhao IEEE transactions on neural networks and learning systems 31 (12), 5549-5560, 2020 | 64 | 2020 |
| Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark M Wagner, BP Müller-Stich, A Kisilenko, D Tran, P Heger, L Mündermann, ... Medical image analysis 86, 102770, 2023 | 63 | 2023 |
| Learning object detectors with semi-annotated weak labels D Zhang, J Han, G Guo, L Zhao IEEE Transactions on Circuits and Systems for Video Technology 29 (12), 3622 …, 2018 | 27 | 2018 |
| Box re-ranking: Unsupervised false positive suppression for domain adaptive pedestrian detection W Chen, Y Guo, S Yang, Z Li, Z Ma, B Chen, L Zhao, D Xie, S Pu, ... arXiv preprint arXiv:2102.00595, 2021 | 6 | 2021 |
| Target-aware auto-augmentation for unsupervised domain adaptive object detection Z Li, L Zhao, W Chen, S Yang, D Xie, S Pu ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
