| Deformable detr: Deformable transformers for end-to-end object detection X Zhu, W Su, L Lu, B Li, X Wang, J Dai arXiv preprint arXiv:2010.04159, 2020 | 2248 | 2020 |
| Deformable convnets v2: More deformable, better results X Zhu, H Hu, S Lin, J Dai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1401 | 2019 |
| Vl-bert: Pre-training of generic visual-linguistic representations W Su, X Zhu, Y Cao, B Li, L Lu, F Wei, J Dai arXiv preprint arXiv:1908.08530, 2019 | 1219 | 2019 |
| Flow-guided feature aggregation for video object detection X Zhu, Y Wang, J Dai, L Yuan, Y Wei Proceedings of the IEEE international conference on computer vision, 408-417, 2017 | 622 | 2017 |
| Deep feature flow for video recognition X Zhu, Y Xiong, J Dai, L Yuan, Y Wei Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 617 | 2017 |
| An empirical study of spatial attention mechanisms in deep networks X Zhu, D Cheng, Z Zhang, S Lin, J Dai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 282 | 2019 |
| Towards high performance video object detection X Zhu, J Dai, L Yuan, Y Wei Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 264 | 2018 |
| An uncertainty-aware approach for exploratory microblog retrieval M Liu, S Liu, X Zhu, Q Liao, F Wei, S Pan IEEE transactions on visualization and computer graphics 22 (1), 250-259, 2015 | 71 | 2015 |
| Spatially adaptive inference with stochastic feature sampling and interpolation Z Xie, Z Zhang, X Zhu, G Huang, S Lin Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 66 | 2020 |
| Deformable kernels: Adapting effective receptive fields for object deformation H Gao, X Zhu, S Lin, J Dai arXiv preprint arXiv:1910.02940, 2019 | 51 | 2019 |
| Integrated object detection and tracking with tracklet-conditioned detection Z Zhang, D Cheng, X Zhu, S Lin, J Dai arXiv preprint arXiv:1811.11167, 2018 | 45 | 2018 |
| Internimage: Exploring large-scale vision foundation models with deformable convolutions W Wang, J Dai, Z Chen, Z Huang, Z Li, X Zhu, X Hu, T Lu, L Lu, H Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 41 | 2023 |
| Uni-perceiver: Pre-training unified architecture for generic perception for zero-shot and few-shot tasks X Zhu, J Zhu, H Li, X Wu, H Li, X Wang, J Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 37 | 2022 |
| Siamese image modeling for self-supervised vision representation learning C Tao, X Zhu, W Su, G Huang, B Li, J Zhou, Y Qiao, X Wang, J Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Exploring the equivalence of siamese self-supervised learning via a unified gradient framework C Tao, H Wang, X Zhu, J Dong, S Song, G Huang, J Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| Auto seg-loss: Searching metric surrogates for semantic segmentation H Li, C Tao, X Zhu, X Wang, G Huang, J Dai arXiv preprint arXiv:2010.07930, 2020 | 24 | 2020 |
| Autoloss-zero: Searching loss functions from scratch for generic tasks H Li, T Fu, J Dai, H Li, G Huang, X Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 17 | 2022 |
| Collaborative visual navigation H Wang, W Wang, X Zhu, J Dai, L Wang arXiv preprint arXiv:2107.01151, 2021 | 16 | 2021 |
| Unsupervised object detection with lidar clues H Tian, Y Chen, J Dai, Z Zhang, X Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 16 | 2021 |
| Vl-ltr: Learning class-wise visual-linguistic representation for long-tailed visual recognition C Tian, W Wang, X Zhu, J Dai, Y Qiao Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 15 | 2022 |
