| A closer look at self-supervised lightweight vision transformers S Wang, J Gao, Z Li, X Zhang, W Hu International Conference on Machine Learning, 35624-35641, 2023 | 17 | 2023 |
| Narrowing the gap: Improved detector training with noisy location annotations S Wang, J Gao, B Li, W Hu IEEE Transactions on Image Processing 31, 6369-6380, 2022 | 9 | 2022 |
| PDNet: Toward better one-stage object detection with prediction decoupling L Yang, Y Xu, S Wang, C Yuan, Z Zhang, B Li, W Hu IEEE Transactions on Image Processing 31, 5121-5133, 2022 | 19 | 2022 |
| DSPNet: Towards Slimmable Pretrained Networks based on Discriminative Self-supervised Learning S Wang, Z Li, J Gao, L Li, W Hu arXiv preprint arXiv:2207.06075, 2022 | | 2022 |
| Open-vocabulary one-stage detection with hierarchical visual-language knowledge distillation Z Ma, G Luo, J Gao, L Li, Y Chen, S Wang, C Zhang, W Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 57 | 2022 |
| A simple and strong baseline for universal targeted attacks on Siamese visual tracking Z Li, Y Shi, J Gao, S Wang, B Li, P Liang, W Hu IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3880-3894, 2021 | 18 | 2021 |
| Rdsnet: A new deep architecture forreciprocal object detection and instance segmentation S Wang, Y Gong, J Xing, L Huang, C Huang, W Hu Proceedings of the AAAI conference on artificial intelligence 34 (07), 12208 …, 2020 | 69 | 2020 |
