Single-stage multi-person pose machines X Nie, J Feng, J Zhang, S Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 277 | 2019 |
Mutual learning to adapt for joint human parsing and pose estimation X Nie, J Feng, S Yan Proceedings of the European Conference on Computer Vision (ECCV), 502-517, 2018 | 158 | 2018 |
Human pose estimation with parsing induced learner X Nie, J Feng, Y Zuo, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 113 | 2018 |
Pose partition networks for multi-person pose estimation X Nie, J Feng, J Xing, S Yan Proceedings of the european conference on computer vision (eccv), 684-699, 2018 | 95 | 2018 |
Self-supervised neural aggregation networks for human parsing J Zhao, J Li, X Nie, F Zhao, Y Chen, Z Wang, J Feng, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 80 | 2017 |
Dynamic kernel distillation for efficient pose estimation in videos X Nie, Y Li, L Luo, N Zhang, J Feng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 71 | 2019 |
Adversarial self-supervised learning for semi-supervised 3d action recognition C Si, X Nie, W Wang, L Wang, T Tan, J Feng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 68 | 2020 |
Body meshes as points J Zhang, D Yu, JH Liew, X Nie, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 67 | 2021 |
Recurrent 3d-2d dual learning for large-pose facial landmark detection S Xiao, J Feng, L Liu, X Nie, W Wang, S Yan, A Kassim Proceedings of the IEEE International Conference on Computer Vision, 1633-1642, 2017 | 61 | 2017 |
Learning to rank proposals for object detection Z Tan, X Nie, Q Qian, N Li, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 59 | 2019 |
Hierarchical contextual refinement networks for human pose estimation X Nie, J Feng, J Xing, S Xiao, S Yan IEEE Transactions on Image Processing 28 (2), 924-936, 2018 | 53 | 2018 |
Dropkey for vision transformer B Li, Y Hu, X Nie, C Han, X Jiang, T Guo, L Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 50 | 2023 |
Inference stage optimization for cross-scenario 3d human pose estimation J Zhang, X Nie, J Feng Advances in neural information processing systems 33, 2408-2419, 2020 | 44 | 2020 |
Single-stage is enough: Multi-person absolute 3D pose estimation L Jin, C Xu, X Wang, Y Xiao, Y Guo, X Nie, J Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 41 | 2022 |
Distribution-aware single-stage models for multi-person 3D pose estimation Z Wang, X Nie, X Qu, Y Chen, S Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 34 | 2022 |
Layered modeling and generation of Pollock’s drip style Y Zheng, X Nie, Z Meng, W Feng, K Zhang The Visual Computer 31, 589-600, 2015 | 22 | 2015 |
Grouping by center: Predicting centripetal offsets for the bottom-up human pose estimation L Jin, X Wang, X Nie, L Liu, Y Guo, J Zhao IEEE Transactions on Multimedia 25, 3364-3374, 2022 | 18 | 2022 |
Spatial-aware texture transformer for high-fidelity garment transfer T Liu, J Zhang, X Nie, Y Wei, S Wei, Y Zhao, J Feng IEEE Transactions on Image Processing 30, 7499-7510, 2021 | 18 | 2021 |
Towards accurate human pose estimation in videos of crowded scenes S Chang, L Yuan, X Nie, Z Huang, Y Zhou, Y Chen, J Feng, S Yan Proceedings of the 28th ACM International Conference on Multimedia, 4630-4634, 2020 | 18 | 2020 |
Towards consistent video editing with text-to-image diffusion models Z Zhang, B Li, X Nie, C Han, T Guo, L Liu Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |