| Yolox: Exceeding yolo series in 2021 Z Ge arXiv preprint arXiv:2107.08430, 2021 | 5533 | 2021 |
| Receptive Field Block Net for Accurate and Fast Object Detection S Liu, D Huang, Y Wang European Conference on Computer Vision (ECCV), 2018 | 1818 | 2018 |
| Learning spatial fusion for single-shot object detection S Liu, D Huang, Y Wang arXiv preprint arXiv:1911.09516, 2019 | 844 | 2019 |
| Yolox: Exceeding yolo series in 2021. arXiv 2021 Z Ge, S Liu, F Wang, Z Li, J Sun arXiv preprint arXiv:2107.08430 8430, 2021 | 738 | 2021 |
| 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 | 526 | 2021 |
| Adaptive NMS: Refining Pedestrian Detection in a Crowd S Liu, D Huang, Y Wang Conference on Computer Vision and Pattern Recognition 2019 (CVPR 2019), 2019 | 415* | 2019 |
| Multi-scale positive sample refinement for few-shot object detection J Wu, S Liu, D Huang, Y Wang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 362 | 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 | 266 | 2020 |
| Cross-domain object detection through coarse-to-fine feature adaptation Y Zheng, D Huang, S Liu, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 252 | 2020 |
| 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 | 165 | 2020 |
| Local augmentation for graph neural networks S Liu, R Ying, H Dong, L Li, T Xu, Y Rong, P Zhao, J Huang, D Wu International conference on machine learning, 14054-14072, 2022 | 123 | 2022 |
| Yolox: exceeding yolo series in 2021 (2021) Z Ge, S Liu, F Wang, Z Li, J Sun arXiv preprint arXiv:2107.08430, 2023 | 113 | 2023 |
| Self-emd: Self-supervised object detection without imagenet S Liu, Z Li, J Sun arXiv preprint arXiv:2011.13677, 2020 | 105 | 2020 |
| Dense teacher: Dense pseudo-labels for semi-supervised object detection H Zhou, Z Ge, S Liu, W Mao, Z Li, H Yu, J Sun European Conference on Computer Vision, 35-50, 2022 | 93 | 2022 |
| Di Huang, and Yunhong Wang. Receptive field block net for accurate and fast object detection S Liu Lecture Notes in Computer Science, 404-419, 2018 | 93 | 2018 |
| Iqdet: Instance-wise quality distribution sampling for object detection Y Ma, S Liu, Z Li, J Sun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 69 | 2021 |
| Real-time object detection for streaming perception J Yang, S Liu, Z Li, X Li, J Sun Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 61 | 2022 |
| Lla: Loss-aware label assignment for dense pedestrian detection Z Ge, J Wang, X Huang, S Liu, O Yoshie Neurocomputing 462, 272-281, 2021 | 49 | 2021 |
| Pay Attention to Them: Deep Reinforcement Learning-Based Cascade Object Detection S Liu, D Huang, Y Wang IEEE transactions on neural networks and learning systems, 2019 | 35 | 2019 |
| Dynamic grained encoder for vision transformers L Song, S Zhang, S Liu, Z Li, X He, H Sun, J Sun, N Zheng Advances in Neural Information Processing Systems 34, 5770-5783, 2021 | 34 | 2021 |
Zeming LiSenior Researcher of Megvii(Face++)Verified email at megvii.com
