| Detnet: Design backbone for object detection Z Li, C Peng, G Yu, X Zhang, Y Deng, J Sun Proceedings of the European conference on computer vision (ECCV), 334-350, 2018 | 368* | 2018 |
| Megdet: A large mini-batch object detector C Peng, T Xiao, Z Li, Y Jiang, X Zhang, K Jia, G Yu, J Sun Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 295 | 2018 |
| Light-head r-cnn: In defense of two-stage object detector Z Li, C Peng, G Yu, X Zhang, Y Deng, J Sun arXiv preprint arXiv:1711.07264, 2017 | 289 | 2017 |
| Yolox: Exceeding yolo series in 2021 Z Ge, S Liu, F Wang, Z Li, J Sun arXiv preprint arXiv:2107.08430, 2021 | 226 | 2021 |
| ThunderNet: Towards real-time generic object detection on mobile devices Z Qin, Z Li, Z Zhang, Y Bao, G Yu, Y Peng, J Sun Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 178 | 2019 |
| Objects365: A large-scale, high-quality dataset for object detection S Shao, Z Li, T Zhang, C Peng, G Yu, X Zhang, J Li, J Sun Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 148 | 2019 |
| Class-balanced grouping and sampling for point cloud 3d object detection B Zhu, Z Jiang, X Zhou, Z Li, G Yu arXiv preprint arXiv:1908.09492, 2019 | 134 | 2019 |
| Metaanchor: Learning to detect objects with customized anchors T Yang, X Zhang, Z Li, W Zhang, J Sun Advances in neural information processing systems 31, 2018 | 121 | 2018 |
| Borderdet: Border feature for dense object detection H Qiu, Y Ma, Z Li, S Liu, J Sun European Conference on Computer Vision, 549-564, 2020 | 78 | 2020 |
| Learning dynamic routing for semantic segmentation Y Li, L Song, Y Chen, Z Li, X Zhang, X Wang, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 77 | 2020 |
| End-to-end object detection with fully convolutional network J Wang, L Song, Z Li, H Sun, J Sun, N Zheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 70 | 2021 |
| Autoassign: Differentiable label assignment for dense object detection B Zhu, J Wang, Z Jiang, F Zong, S Liu, Z Li, J Sun arXiv preprint arXiv:2007.03496, 2020 | 62 | 2020 |
| Ota: Optimal transport assignment for object detection Z Ge, S Liu, Z Li, O Yoshie, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 49 | 2021 |
| Distribution alignment: A unified framework for long-tail visual recognition S Zhang, Z Li, S Yan, X He, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 48 | 2021 |
| Fully convolutional networks for panoptic segmentation Y Li, H Zhao, X Qi, L Wang, Z Li, J Sun, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 46 | 2021 |
| Generalized few-shot object detection without forgetting Z Fan, Y Ma, Z Li, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 35 | 2021 |
| Stitcher: Feedback-driven data provider for object detection Y Chen, P Zhang, Z Li, Y Li, X Zhang, G Meng, S Xiang, J Sun, J Jia arXiv preprint arXiv:2004.12432 2 (7), 12, 2020 | 32 | 2020 |
| Self-emd: Self-supervised object detection without imagenet S Liu, Z Li, J Sun arXiv preprint arXiv:2011.13677, 2020 | 26 | 2020 |
| R-fcn++: Towards accurate region-based fully convolutional networks for object detection Z Li, Y Chen, G Yu, Y Deng Thirty-second AAAI conference on artificial intelligence, 2018 | 22 | 2018 |
| Learnable tree filter for structure-preserving feature transform L Song, Y Li, Z Li, G Yu, H Sun, J Sun, N Zheng Advances in neural information processing systems 32, 2019 | 21 | 2019 |
Jian SunChief Scientist of Megvii, Managing Director of Megvii ResearchVerified email at megvii.com
