| 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 | 227* | 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 | 208 | 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 | 183 | 2017 |
| 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 | 81 | 2019 |
| Metaanchor: Learning to detect objects with customized anchors T Yang, X Zhang, Z Li, W Zhang, J Sun arXiv preprint arXiv:1807.00980, 2018 | 79 | 2018 |
| 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 | 59* | 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 | 44 | 2019 |
| 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 | 27 | 2020 |
| R-fcn++: Towards accurate region-based fully convolutional networks for object detection Z Li, Y Chen, G Yu, Y Deng Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 18 | 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 | 14 | 2020 |
| 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 | 12 | 2020 |
| Learnable tree filter for structure-preserving feature transform L Song, Y Li, Z Li, G Yu, H Sun, J Sun, N Zheng arXiv preprint arXiv:1909.12513, 2019 | 11 | 2019 |
| 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, 2020 | 7 | 2020 |
| Mscoco keypoints challenge 2018 Z Wang, W Li, B Yin, Q Peng, T Xiao, Y Du, Z Li, X Zhang, G Yu, J Sun Joint Recognition Challenge Workshop at ECCV 2018 5, 2018 | 6 | 2018 |
| End-to-end object detection with fully convolutional network J Wang, L Song, Z Li, H Sun, J Sun, N Zheng arXiv preprint arXiv:2012.03544, 2020 | 4 | 2020 |
| Rethinking learnable tree filter for generic feature transform L Song, Y Li, Z Jiang, Z Li, X Zhang, H Sun, J Sun, N Zheng arXiv preprint arXiv:2012.03482, 2020 | 3 | 2020 |
| Fine-Grained Dynamic Head for Object Detection L Song, Y Li, Z Jiang, Z Li, H Sun, J Sun, N Zheng arXiv preprint arXiv:2012.03519, 2020 | 3 | 2020 |
| Joint COCO and Mapillary Workshop at ICCV 2019: Panoptic Segmentation Challenge Track Technical Report: Explore Context Relation for Panoptic Segmentation S Wang, T Liu, H Liu, Y Ma, Z Li, Z Wang, X Zhou, G Yu, E Zhou, X Zhang, ... ICCV workshop, 2019 | 2 | 2019 |
| Self-EMD: Self-Supervised Object Detection without ImageNet S Liu, Z Li, J Sun arXiv preprint arXiv:2011.13677, 2020 | 1 | 2020 |
| Joint COCO and Mapillary Workshop at ICCV 2019: COCO Instance Segmentation Challenge Track Z Li, Y Ma, Y Chen, X Zhang, J Sun arXiv preprint arXiv:2010.02475, 2020 | 1 | 2020 |
Jian SunChief Scientist/Managing Director of Megvii (Face++)在 megvii.com 的电子邮件经过验证
