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Xingyi Zhou
Xingyi Zhou
Google Research
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Objects as Points
X Zhou, D Wang, P Krähenbühl
arXiv preprint arXiv:1904.07850, 2019
3506*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
10442021
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
10132019
Tracking objects as points
X Zhou, V Koltun, P Krähenbühl
European conference on computer vision, 474-490, 2020
8942020
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
7022017
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
2902016
Detecting Twenty-thousand Classes using Image-level Supervision
X Zhou, R Girdhar, A Joulin, P Krähenbühl, I Misra
ECCV, 2022
2652022
Model-based Deep Hand Pose Estimation
X Zhou, Q Wan, W Zhang, X Xue, Y Wei
IJCAI, 2016
2432016
Probabilistic two-stage detection
X Zhou, V Koltun, P Krähenbühl
arXiv preprint arXiv:2103.07461, 2021
1992021
Multimodal virtual point 3d detection
T Yin, X Zhou, P Krähenbühl
Advances in Neural Information Processing Systems 34, 16494-16507, 2021
1322021
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
752018
Global Tracking Transformers
X Zhou, T Yin, V Koltun, P Krähenbühl
CVPR, 2022
732022
Simple multi-dataset detection
X Zhou, V Koltun, P Krähenbühl
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
652022
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
49*2018
Objects as points (2019)
X Zhou, D Wang, P Krähenbühl
arXiv preprint arXiv:1904.07850, 1904
491904
Nms strikes back
J Ouyang-Zhang, JH Cho, X Zhou, P Krähenbühl
arXiv preprint arXiv:2212.06137, 2022
212022
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, ...
arXiv preprint arXiv:2306.01736, 2023
82023
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
22023
Joint COCO and LVIS workshop at ECCV 2020: LVIS Challenge Track Technical Report: CenterNet2
X Zhou, V Koltun, P Krähenbühl
22020
MaskConver: A Universal Panoptic and Semantic Segmentation Model with Pure Convolutions
A Rashwan, Y Li, X Zhou, J Zhang, F Yang
12022
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Articles 1–20