| Cross-view action modeling, learning and recognition J Wang, X Nie, Y Xia, Y Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 503 | 2014 |
| Cross-view action modeling, learning and recognition J Wang, X Nie, Y Xia, Y Wu, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 503 | 2014 |
| Joint action recognition and pose estimation from video B Xiaohan Nie, C Xiong, SC Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 238 | 2015 |
| Monocular 3d human pose estimation by predicting depth on joints BX Nie, P Wei, SC Zhu 2017 IEEE International Conference on Computer Vision (ICCV), 3467-3475, 2017 | 129 | 2017 |
| Attribute and-or grammar for joint parsing of human pose, parts and attributes S Park, BX Nie, SC Zhu IEEE transactions on pattern analysis and machine intelligence 40 (7), 1555-1569, 2017 | 77 | 2017 |
| Animated pose templates for modeling and detecting human actions BZ Yao, BX Nie, Z Liu, SC Zhu IEEE transactions on pattern analysis and machine intelligence 36 (3), 436-452, 2013 | 62 | 2013 |
| Shot contrastive self-supervised learning for scene boundary detection S Chen, X Nie, D Fan, D Zhang, V Bhat, R Hamid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 46 | 2021 |
| A benchmark for interactive image segmentation algorithms Y Zhao, X Nie, Y Duan, Y Huang, S Luo 2011 IEEE Workshop on Person-Oriented Vision, 33-38, 2011 | 25 | 2011 |
| A robust and efficient framework for sports-field registration X Nie, S Chen, R Hamid Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 22 | 2021 |
| Attribute and-or grammar for joint parsing of human attributes, part and pose S Park, BX Nie, SC Zhu arXiv preprint arXiv:1605.02112, 2016 | 21 | 2016 |
| Monocular 3D human pose estimation by predicting depth on joints B Xiaohan Nie, P Wei, SC Zhu Proceedings of the IEEE International Conference on Computer Vision, 3447-3455, 2017 | 17 | 2017 |
| Depth-guided sparse structure-from-motion for movies and tv shows S Liu, X Nie, R Hamid Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| Movies2Scenes: learning scene representations using movie similarities S Chen, X Hao, X Nie, R Hamid arXiv preprint arXiv:2202.10650 3, 2022 | 5 | 2022 |
| Mining discriminative 3D Poselet for cross-view action recognition J Wang, X Nie, Y Xia, Y Wu IEEE Winter Conference on Applications of Computer Vision, 634-639, 2014 | 5 | 2014 |
| Systems and methods of obstacle detection for automated delivery apparatus H Boyraz, B Liu, X Nie, S Chen US Patent App. 16/914,189, 2021 | 3 | 2021 |
| Systems and methods for generating comic books from video and images D Zhang, MR Hamid, X Nie, S Chen US Patent 11,532,111, 2022 | 1 | 2022 |
| CNN-based Audio Event Recognition for Automated Violence Classification and Rating for Prime Video Content}} M Sharma, T Gupta, K Qiu, X Hao, R Hamid Proc. Interspeech 2022, 2758-2762, 2022 | 1 | 2022 |
| Experts-Shift: Learning active spatial classification experts for keyframe-based video segmentation Y Zhao, Y Duan, X Nie, Y Huang, S Luo 2011 IEEE Workshop on Applications of Computer Vision (WACV), 622-627, 2011 | 1 | 2011 |
| Shot contras five self-supervised learning of a plurality of machine learning models for video analysis applications S Chen, X Nie, DJ Fan, D Zhang, V Bhat, MR Hamid US Patent 11,748,988, 2023 | | 2023 |
| Systems and methods for video-based sports field registration X Nie, MR Hamid US Patent App. 17/937,323, 2023 | | 2023 |
song-chun zhuProfessor of Statistics and Computer Science, UCLADirección de correo verificada de stat.ucla.edu
