| YOLOX: Exceeding YOLO series in 2021 G Zheng, L Songtao, W Feng, L Zeming, S Jian arXiv preprint arXiv:2107.08430, 2021 | 5115* | 2021 |
| 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 | 683 | 2019 |
| 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 | 593* | 2018 |
| Bevdepth: Acquisition of reliable depth for multi-view 3d object detection Y Li, Z Ge, G Yu, J Yang, Z Wang, Y Shi, J Sun, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1477-1485, 2023 | 501 | 2023 |
| 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 | 496 | 2021 |
| 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 | 468 | 2017 |
| 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 | 393 | 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 | 389 | 2019 |
| 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 | 350 | 2019 |
| 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 | 303 | 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 | 257 | 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 | 237 | 2021 |
| Unifying voxel-based representation with transformer for 3d object detection Y Li, Y Chen, X Qi, Z Li, J Sun, J Jia Advances in Neural Information Processing Systems 35, 18442-18455, 2022 | 227 | 2022 |
| 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 | 196 | 2020 |
| 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 | 193 | 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 | 181 | 2021 |
| 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 | 181 | 2018 |
| Bevstereo: Enhancing depth estimation in multi-view 3d object detection with temporal stereo Y Li, H Bao, Z Ge, J Yang, J Sun, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1486-1494, 2023 | 177 | 2023 |
| Borderdet: Border feature for dense object detection H Qiu, Y Ma, Z Li, S Liu, J Sun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 163 | 2020 |
| Gang Yu. Class-balanced grouping and sampling for point cloud 3d object detection B Zhu, Z Jiang, X Zhou, Z Li arXiv preprint arXiv:1908.09492 6 (8), 9, 2019 | 150 | 2019 |
Jian SunChief Scientist of Megvii, Managing Director of Megvii ResearchVerified email at megvii.com
