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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:

Deep Representation Learning for Human Motion Prediction and Classification
Judith Bütepage, Michael J. Black, Danica Kragić, et al.
(2017), pp. 1591-1599
Open Access | Times Cited: 375

Showing 1-25 of 375 citing articles:

Learning 3D Human Dynamics From Video
Angjoo Kanazawa, Jason Zhang, Panna Felsen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019), pp. 5607-5616
Open Access | Times Cited: 515
Learning Trajectory Dependencies for Human Motion Prediction
Wei Mao, Miaomiao Liu, Mathieu Salzmann, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019)
Open Access | Times Cited: 379
Convolutional Sequence to Sequence Model for Human Dynamics
Chen Li, Zhen Zhang, Wee Sun Lee, et al.
(2018), pp. 5226-5234
Open Access | Times Cited: 311
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Ruilong Li, Shan Yang, David A. Ross, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 13381-13392
Open Access | Times Cited: 306
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction
Maosen Li, Siheng Chen, Yangheng Zhao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 211-220
Open Access | Times Cited: 298
HP-GAN: Probabilistic 3D Human Motion Prediction via GAN
Emad Barsoum, John R. Kender, Zicheng Liu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2018), pp. 1499-149909
Open Access | Times Cited: 288
Adversarial Geometry-Aware Human Motion Prediction
Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, et al.
Lecture notes in computer science (2018), pp. 823-842
Closed Access | Times Cited: 269
History Repeats Itself: Human Motion Prediction via Motion Attention
Wei Mao, Miaomiao Liu, Mathieu Salzmann
Lecture notes in computer science (2020), pp. 474-489
Closed Access | Times Cited: 231
Deep-learning cardiac motion analysis for human survival prediction
Ghalib Bello, Timothy J. W. Dawes, Jinming Duan, et al.
Nature Machine Intelligence (2019) Vol. 1, Iss. 2, pp. 95-104
Open Access | Times Cited: 214
Learning Human Motion Models for Long-Term Predictions
Partha Ghosh, Jie Song, Emre Aksan, et al.
2021 International Conference on 3D Vision (3DV) (2017), pp. 458-466
Open Access | Times Cited: 212
Neural Kinematic Networks for Unsupervised Motion Retargetting
Ruben Villegas, Jimei Yang, Duygu Ceylan, et al.
(2018), pp. 8639-8648
Open Access | Times Cited: 199
Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction
Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) Vol. 44, Iss. 6, pp. 3300-3315
Open Access | Times Cited: 194
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
Ye Yuan, Kris Kitani
Lecture notes in computer science (2020), pp. 346-364
Closed Access | Times Cited: 187
Structured Prediction Helps 3D Human Motion Modelling
Emre Aksan, Manuel Kaufmann, Otmar Hilliges
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2019), pp. 7143-7152
Open Access | Times Cited: 180
A Spatio-temporal Transformer for 3D Human Motion Prediction
Emre Aksan, Manuel Kaufmann, Peng Cao, et al.
2021 International Conference on 3D Vision (3DV) (2021), pp. 565-574
Open Access | Times Cited: 178
Modeling Human Motion with Quaternion-Based Neural Networks
Dario Pavllo, Christoph Feichtenhofer, Michael Auli, et al.
International Journal of Computer Vision (2019) Vol. 128, Iss. 4, pp. 855-872
Closed Access | Times Cited: 169
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
Yalin Liao, Aleksandar Vakanski, Min Xian
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 2, pp. 468-477
Open Access | Times Cited: 165
MoGlow
Gustav Eje Henter, Simon Alexanderson, Jonas Beskow
ACM Transactions on Graphics (2020) Vol. 39, Iss. 6, pp. 1-14
Open Access | Times Cited: 154
Action-Agnostic Human Pose Forecasting
Hsu-kuang Chiu, Ehsan Adeli, Borui Wang, et al.
(2019)
Open Access | Times Cited: 146
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104697-104697
Open Access | Times Cited: 140
Learning Dynamic Relationships for 3D Human Motion Prediction
Qiongjie Cui, Huaijiang Sun, Fei Yang
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020), pp. 6518-6526
Closed Access | Times Cited: 139
Space-Time-Separable Graph Convolutional Network for Pose Forecasting
Theodoros Sofianos, Alessio Sampieri, Luca Franco, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021), pp. 11189-11198
Open Access | Times Cited: 118
3D Human Motion Estimation via Motion Compression and Refinement
Zhengyi Luo, S. Alireza Golestaneh, Kris Kitani
Lecture notes in computer science (2021), pp. 324-340
Closed Access | Times Cited: 112
Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction
Tiezheng Ma, Yongwei Nie, Chengjiang Long, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 6427-6436
Open Access | Times Cited: 94
Generating Human Motion from Textual Descriptions with Discrete Representations
Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Closed Access | Times Cited: 89
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