| 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 | 5362 | 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 | 2326 | 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 | 1843 | 2019 |
| 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 | 837 | 2017 |
| 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 | 803 | 2017 |
| 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 | 619 | 2023 |
| 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 | 550 | 2019 |
| Planning-oriented autonomous driving Y Hu, J Yang, L Chen, K Li, C Sima, X Zhu, S Chai, S Du, T Lin, W Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 431 | 2023 |
| Visionllm: Large language model is also an open-ended decoder for vision-centric tasks W Wang, Z Chen, X Chen, J Wu, X Zhu, G Zeng, P Luo, T Lu, J Zhou, ... Advances in Neural Information Processing Systems 36, 2024 | 342 | 2024 |
| 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 | 324 | 2018 |
| Bevformer v2: Adapting modern image backbones to bird's-eye-view recognition via perspective supervision C Yang, Y Chen, H Tian, C Tao, X Zhu, Z Zhang, G Huang, H Li, Y Qiao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 213 | 2023 |
| How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites Z Chen, W Wang, H Tian, S Ye, Z Gao, E Cui, W Tong, K Hu, J Luo, Z Ma, ... arXiv preprint arXiv:2404.16821, 2024 | 135 | 2024 |
| 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 | 123 | 2022 |
| 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 | 113 | 2020 |
| Delving into the devils of bird's-eye-view perception: A review, evaluation and recipe H Li, C Sima, J Dai, W Wang, L Lu, H Wang, J Zeng, Z Li, J Yang, H Deng, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 112 | 2023 |
| Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks Z Chen, J Wu, W Wang, W Su, G Chen, S Xing, M Zhong, Q Zhang, X Zhu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 88 | 2024 |
| 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 | 81 | 2015 |
| 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 | 80 | 2023 |
| Interngpt: Solving vision-centric tasks by interacting with chatgpt beyond language Z Liu, Y He, W Wang, W Wang, Y Wang, S Chen, Q Zhang, Z Lai, Y Yang, ... arXiv preprint arXiv:2305.05662, 2023 | 74 | 2023 |
| Deformable kernels: Adapting effective receptive fields for object deformation H Gao, X Zhu, S Lin, J Dai arXiv preprint arXiv:1910.02940, 2019 | 73 | 2019 |
