| Objects as Points X Zhou, D Wang, P Krähenbühl arXiv preprint arXiv:1904.07850, 2019 | 4159 | 2019 |
| Center-based 3d object detection and tracking T Yin, X Zhou, P Krahenbuhl Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1436 | 2021 |
| Bottom-up object detection by grouping extreme and center points X Zhou, J Zhuo, P Krahenbuhl Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1122 | 2019 |
| Tracking objects as points X Zhou, V Koltun, P Krähenbühl European conference on computer vision, 474-490, 2020 | 1117 | 2020 |
| Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approach X Zhou, Q Huang, X Sun, X Xue, Y Wei IEEE International Conference on Computer Vision, 2017, 2017 | 754 | 2017 |
| Detecting Twenty-thousand Classes using Image-level Supervision X Zhou, R Girdhar, A Joulin, P Krähenbühl, I Misra ECCV, 2022 | 450 | 2022 |
| Deep kinematic pose regression X Zhou, X Sun, W Zhang, S Liang, Y Wei Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 299 | 2016 |
| Probabilistic two-stage detection X Zhou, V Koltun, P Krähenbühl arXiv preprint arXiv:2103.07461, 2021 | 265 | 2021 |
| Model-based Deep Hand Pose Estimation X Zhou, Q Wan, W Zhang, X Xue, Y Wei IJCAI, 2016 | 248 | 2016 |
| Multimodal virtual point 3d detection T Yin, X Zhou, P Krähenbühl Advances in Neural Information Processing Systems 34, 16494-16507, 2021 | 192 | 2021 |
| Global Tracking Transformers X Zhou, T Yin, V Koltun, P Krähenbühl CVPR, 2022 | 123 | 2022 |
| Simple multi-dataset detection X Zhou, V Koltun, P Krähenbühl Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 90 | 2022 |
| Starmap for category-agnostic keypoint and viewpoint estimation X Zhou, A Karpur, L Luo, Q Huang Proceedings of the European Conference on Computer Vision (ECCV), 318-334, 2018 | 89 | 2018 |
| Unsupervised domain adaptation for 3d keypoint estimation via view consistency X Zhou, A Karpur, C Gan, L Luo, Q Huang Proceedings of the European conference on computer vision (ECCV), 137-153, 2018 | 53* | 2018 |
| Nms strikes back J Ouyang-Zhang, JH Cho, X Zhou, P Krähenbühl arXiv preprint arXiv:2212.06137, 2022 | 36 | 2022 |
| Dataseg: Taming a universal multi-dataset multi-task segmentation model X Gu, Y Cui, J Huang, A Rashwan, X Yang, X Zhou, G Ghiasi, W Kuo, ... Advances in Neural Information Processing Systems 36, 2024 | 14 | 2024 |
| How can objects help action recognition? X Zhou, A Arnab, C Sun, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 8 | 2023 |
| Pixel-Aligned Language Model J Xu, X Zhou, S Yan, X Gu, A Arnab, C Sun, X Wang, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 7 | 2024 |
| Distilling vision-language models on millions of videos Y Zhao, L Zhao, X Zhou, J Wu, CT Chu, H Miao, F Schroff, H Adam, T Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Streaming dense video captioning X Zhou, A Arnab, S Buch, S Yan, A Myers, X Xiong, A Nagrani, C Schmid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
Philipp KrähenbühlUT Austin在 cs.utexas.edu 的电子邮件经过验证
