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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Reducing Footskate in Human Motion Reconstruction with Ground Contact Constraints
Yuliang Zou, Shuicheng Yan, Duygu Ceylan, et al.
(2020), pp. 448-457
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors
Xinyu Yi, Yuxiao Zhou, Marc Habermann, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13157-13168
Open Access | Times Cited: 128
TransPose
Xinyu Yi, Yuxiao Zhou, Feng Xu
ACM Transactions on Graphics (2021) Vol. 40, Iss. 4, pp. 1-13
Closed Access | Times Cited: 115
Capturing and Inferring Dense Full-Body Human-Scene Contact
Chun-Hao P. Huang, Hongwei Yi, Markus Hoschle, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 13264-13275
Open Access | Times Cited: 70
3D Human Pose Estimation via Intuitive Physics
Shashank Tripathi, Lea Müller, Chun-Hao P. Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 4713-4725
Open Access | Times Cited: 48
Contact and Human Dynamics from Monocular Video
Davis Rempe, Leonidas Guibas, Aaron Hertzmann, et al.
Lecture notes in computer science (2020), pp. 71-87
Closed Access | Times Cited: 93
Neural monocular 3D human motion capture with physical awareness
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, et al.
ACM Transactions on Graphics (2021) Vol. 40, Iss. 4, pp. 1-15
Open Access | Times Cited: 77
A Survey on Deep Learning for Skeleton‐Based Human Animation
Lucas Mourot, Ludovic Hoyet, François Clerc, et al.
Computer Graphics Forum (2021) Vol. 41, Iss. 1, pp. 122-157
Open Access | Times Cited: 46
TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors
Xinyu Yi, Yuxiao Zhou, Feng Xu
arXiv (Cornell University) (2021)
Open Access | Times Cited: 40
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
Nadine Rüegg, Shashank Tripathi, Konrad Schindler, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 8867-8876
Closed Access | Times Cited: 15
Perpetual Humanoid Control for Real-time Simulated Avatars
Zhengyi Luo, Jinkun Cao, Alexander Winkler, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 10861-10870
Open Access | Times Cited: 14
Music-Driven Group Choreography
Nhat Le, Thang Pham, Tuong Do, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 86, pp. 8673-8682
Open Access | Times Cited: 12
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance
Soshi Shimada, Vladislav Golyanik, Zhi Li, et al.
Lecture notes in computer science (2022), pp. 516-533
Closed Access | Times Cited: 18
Learning Complex 3D Human Self-Contact
Mihai Fieraru, Mihai Zanfir, Elisabeta Oneaţă, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 2, pp. 1343-1351
Open Access | Times Cited: 22
PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time
Soshi Shimada, Vladislav Golyanik, Weipeng Xu, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 22
DECO: Dense Estimation of 3D Human-Scene Contact In The Wild
Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023) Vol. 34, pp. 7967-7979
Open Access | Times Cited: 7
Fast Human Motion reconstruction from sparse inertial measurement units considering the human shape
Xuan Xiao, Jianjian Wang, Pingfa Feng, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
Márton Véges, András Lőrincz
Lecture notes in computer science (2020), pp. 557-568
Closed Access | Times Cited: 20
UnderPressure: Deep Learning for Foot Contact Detection, Ground Reaction Force Estimation and Footskate Cleanup
Lucas Mourot, Ludovic Hoyet, François Clerc, et al.
Computer Graphics Forum (2022) Vol. 41, Iss. 8, pp. 195-206
Open Access | Times Cited: 9
Human stability assessment and fall detection based on dynamic descriptors
Jesús Gutiérrez, Sergio Martín, Víctor Rodríguez
IET Image Processing (2023) Vol. 17, Iss. 11, pp. 3177-3195
Open Access | Times Cited: 4
Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization
Li’an Zhuo, Jian Cao, Qi Wang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 650-659
Closed Access | Times Cited: 4
Foot‐constrained spatial‐temporal transformer for keyframe‐based complex motion synthesis
Hao Li, Ju Dai, Rui Zeng, et al.
Computer Animation and Virtual Worlds (2023) Vol. 35, Iss. 1
Closed Access | Times Cited: 2
From Method to Application: A Review of Deep 3D Human Motion Capture
Zehai Niu, Ke Lü, Jian Xue, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 11, pp. 11340-11359
Closed Access
3D Baseball Pitcher Pose Reconstruction Using Joint-Wise Volumetric Triangulation and Baseball Customized Filter System
Yun-Wei Chiu, Kuei-Ting Huang, Yuh‐Renn Wu, et al.
IEEE Access (2024) Vol. 12, pp. 117110-117125
Open Access
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
Hyeongjin Nam, Daniel Sungho Jung, Gyeongsik Moon, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 10218-10227
Closed Access
PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-Based Motion Capture
Zhuojun Li, Chun Yu, Liang Chen, et al.
Lecture notes in computer science (2024), pp. 55-73
Closed Access
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