The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera
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Citations
Cites
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields
Cao, Z., Simon, T., Wei, S.-E., & Sheikh, Y. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.143 · Cited by 7,539
Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., & J, B. M. (2015) · ACM Transactions on Graphics · doi:10.1145/2816795.2818013 · Cited by 3,734
Self-citationHuman3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments
Ionescu, C., Papava, D., Olaru, V., & Sminchisescu, C. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.248 · Cited by 3,653 · cited 3×
“6M [8], which provide synchronized video with MoCap.”
Influential
Cited by
Transformers in Vision: A Survey
Khan, S., Naseer, M., Hayat, M., Zamir, S. W., Khan, F. S., & Shah, M. (2022) · ACM Computing Surveys · doi:10.1145/3505244 · Cited by 3,595
End-to-End Human Pose and Mesh Reconstruction with Transformers
Lin, K., Wang, L., & Liu, Z. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr46437.2021.00199 · Cited by 740
Learning Trajectory Dependencies for Human Motion Prediction
Mao, W., Liu, M., Salzmann, M., & Li, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00958 · Cited by 512
Monocular human pose estimation: A survey of deep learning-based methods
Chen, Y., Tian, Y., & He, M. (2020) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2019.102897 · Cited by 441
PARE: Part Attention Regressor for 3D Human Body Estimation
Kocabas, M., Huang, C.-H. P., Hilliges, O., & Black, M. J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01094 · Cited by 417
Self-citation
Metadata
- Authors
- von Marcard, T., Henschel, R., Black, M. J., Rosenhahn, B., & Pons-Moll, G.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 614-631
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2895748257
- Cited by
- 1,058
- References
- 3
- FWCI
- 18.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- von Marcard, T., Henschel, R., Black, M. J., Rosenhahn, B., & Pons-Moll, G. (2018). Recovering Accurate 3D Human Pose in the Wild Using IMUs and a Moving Camera. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-01249-6_37
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
