| Moving object detection by detecting contiguous outliers in the low-rank representation X Zhou, C Yang, W Yu IEEE transactions on pattern analysis and machine intelligence 35 (3), 597-610, 2012 | 686 | 2012 |
| Coarse-to-fine volumetric prediction for single-image 3D human pose G Pavlakos, X Zhou, KG Derpanis, K Daniilidis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 667 | 2017 |
| Pvnet: Pixel-wise voting network for 6dof pose estimation S Peng, Y Liu, Q Huang, X Zhou, H Bao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 495 | 2019 |
| Sparseness meets deepness: 3D human pose estimation from monocular video X Zhou, M Zhu, S Leonardos, KG Derpanis, K Daniilidis Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 439 | 2016 |
| Learning to estimate 3D human pose and shape from a single color image G Pavlakos, L Zhu, X Zhou, K Daniilidis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 424 | 2018 |
| 6-dof object pose from semantic keypoints G Pavlakos, X Zhou, A Chan, KG Derpanis, K Daniilidis 2017 IEEE International Conference on Robotics and Automation (ICRA), 2011-2018, 2017 | 349 | 2017 |
| Ordinal depth supervision for 3d human pose estimation G Pavlakos, X Zhou, K Daniilidis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 254 | 2018 |
| Monocap: Monocular human motion capture using a CNN coupled with a geometric prior X Zhou, M Zhu, G Pavlakos, S Leonardos, KG Derpanis, K Daniilidis IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 | 165 | 2018 |
| Harvesting multiple views for marker-less 3d human pose annotations G Pavlakos, X Zhou, KG Derpanis, K Daniilidis Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 159 | 2017 |
| Low-rank modeling and its applications in image analysis X Zhou, C Yang, H Zhao, W Yu ACM Computing Surveys (CSUR) 47 (2), 1-33, 2014 | 158 | 2014 |
| 3D shape estimation from 2D landmarks: A convex relaxation approach X Zhou, S Leonardos, X Hu, K Daniilidis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 151* | 2015 |
| Sparse representation for 3D shape estimation: A convex relaxation approach X Zhou, M Zhu, S Leonardos, K Daniilidis IEEE transactions on pattern analysis and machine intelligence 39 (8), 1648-1661, 2016 | 150 | 2016 |
| Deep Snake for Real-Time Instance Segmentation S Peng, W Jiang, H Pi, X Li, H Bao, X Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 142 | 2020 |
| Polar Transformer Networks C Esteves, C Allen-Blanchette, X Zhou, K Daniilidis arXiv preprint arXiv:1709.01889, 2017 | 131 | 2017 |
| Multi-image matching via fast alternating minimization X Zhou, M Zhu, K Daniilidis Proceedings of the IEEE International Conference on Computer Vision, 4032-4040, 2015 | 131 | 2015 |
| Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans S Peng, Y Zhang, Y Xu, Q Wang, Q Shuai, H Bao, X Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 108 | 2021 |
| Fast and robust multi-person 3d pose estimation from multiple views J Dong, W Jiang, Q Huang, H Bao, X Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 98 | 2019 |
| LoFTR: Detector-free local feature matching with transformers J Sun, Z Shen, Y Wang, H Bao, X Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 95 | 2021 |
| Coherent Reconstruction of Multiple Humans From a Single Image W Jiang, N Kolotouros, G Pavlakos, X Zhou, K Daniilidis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 72 | 2020 |
| Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies S Peng, J Dong, Q Wang, S Zhang, Q Shuai, X Zhou, H Bao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 57* | 2021 |
Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaEmail verificata su cis.upenn.edu
