Qianhui Men

City University of Hong Kong
PhD (Visiting) (Co-supervised with )
, 2019 - 2020

City University of Hong Kong
, Hong Kong
  • Research interests: Deep Learning, Human Motion Synthesis

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Grants Involved


Publications with the Team

Focalized Contrastive View-Invariant Learning for Self-Supervised Skeleton-Based Action Recognition
Focalized Contrastive View-Invariant Learning for Self-Supervised Skeleton-Based Action Recognition Impact Factor: 5.5Top 25% Journal in Computer Science, Artificial IntelligenceCitation: 20#
Neurocomputing, 2023
Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum and Howard Leung
Webpage Cite This Plain Text
Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum and Howard Leung, "Focalized Contrastive View-Invariant Learning for Self-Supervised Skeleton-Based Action Recognition," Neurocomputing, vol. 537, pp. 198-209, Elsevier, 2023.
Bibtex
@article{men23focalized,
 author={Men, Qianhui and Ho, Edmond S. L. and Shum, Hubert P. H. and Leung, Howard},
 journal={Neurocomputing},
 series={Neurocomputing '24},
 title={Focalized Contrastive View-Invariant Learning for Self-Supervised Skeleton-Based Action Recognition},
 year={2023},
 volume={537},
 pages={198--209},
 numpages={12},
 doi={10.1016/j.neucom.2023.03.070},
 issn={0925-2312},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Men, Qianhui
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
AU  - Leung, Howard
T2  - Neurocomputing
TI  - Focalized Contrastive View-Invariant Learning for Self-Supervised Skeleton-Based Action Recognition
PY  - 2023
VL  - 537
SP  - 198
EP  - 209
DO  - 10.1016/j.neucom.2023.03.070
SN  - 0925-2312
PB  - Elsevier
ER  - 
Paper Source Code
A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction Impact Factor: 3.5Top 25% Journal in Health Care Sciences & Services
Journal of Medical Systems (JMS), 2022
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum, "A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction," Journal of Medical Systems, vol. 46, no. 11, pp. 76, Springer, 2022.
Bibtex
@article{zhu22twostream,
 author={Zhu, Manli and Men, Qianhui and Ho, Edmond S. L. and Leung, Howard and Shum, Hubert P. H.},
 journal={Journal of Medical Systems},
 series={JMS '24},
 title={A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction},
 year={2022},
 volume={46},
 number={11},
 pages={76},
 numpages={12},
 doi={10.1007/s10916-022-01857-5},
 issn={1573-689X},
 publisher={Springer},
}
RIS
TY  - JOUR
AU  - Zhu, Manli
AU  - Men, Qianhui
AU  - Ho, Edmond S. L.
AU  - Leung, Howard
AU  - Shum, Hubert P. H.
T2  - Journal of Medical Systems
TI  - A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
PY  - 2022
VL  - 46
IS  - 11
SP  - 76
EP  - 76
DO  - 10.1007/s10916-022-01857-5
SN  - 1573-689X
PB  - Springer
ER  - 
Paper
GAN-Based Reactive Motion Synthesis with Class-Aware Discriminators for Human-Human Interaction
GAN-Based Reactive Motion Synthesis with Class-Aware Discriminators for Human-Human Interaction Impact Factor: 2.5Citation: 31#
Computers and Graphics (C&G), 2022
Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho and Howard Leung
Webpage Cite This Plain Text
Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho and Howard Leung, "GAN-Based Reactive Motion Synthesis with Class-Aware Discriminators for Human-Human Interaction," Computers and Graphics, vol. 102, pp. 634-645, Elsevier, 2022.
Bibtex
@article{men22gan,
 author={Men, Qianhui and Shum, Hubert P. H. and Ho, Edmond S. L. and Leung, Howard},
 journal={Computers and Graphics},
 series={C&G '24},
 title={GAN-Based Reactive Motion Synthesis with Class-Aware Discriminators for Human-Human Interaction},
 year={2022},
 volume={102},
 pages={634--645},
 numpages={12},
 doi={10.1016/j.cag.2021.09.014},
 issn={0097-8493},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Men, Qianhui
AU  - Shum, Hubert P. H.
AU  - Ho, Edmond S. L.
AU  - Leung, Howard
T2  - Computers and Graphics
TI  - GAN-Based Reactive Motion Synthesis with Class-Aware Discriminators for Human-Human Interaction
PY  - 2022
VL  - 102
SP  - 634
EP  - 645
DO  - 10.1016/j.cag.2021.09.014
SN  - 0097-8493
PB  - Elsevier
ER  - 
Paper YouTube
Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos
Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos H5-Index: 206#Core A* ConferenceCitation: 18#
Proceedings of the 2022 European Conference on Computer Vision (ECCV), 2022
Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima and Hubert P. H. Shum
Webpage Cite This Plain Text
Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima and Hubert P. H. Shum, "Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos," in ECCV '22: Proceedings of the 2022 European Conference on Computer Vision, pp. 474-491, Tel Aviv, Israel, Springer, Oct 2022.
Bibtex
@inproceedings{qiao22geometric,
 author={Qiao, Tanqiu and Men, Qianhui and Li, Frederick W. B. and Kubotani, Yoshiki and Morishima, Shigeo and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 European Conference on Computer Vision},
 series={ECCV '22},
 title={Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos},
 year={2022},
 month={10},
 pages={474--491},
 numpages={18},
 doi={10.1007/978-3-031-19772-7_28},
 isbn={978-3-031-19772-7},
 publisher={Springer},
 location={Tel Aviv, Israel},
}
RIS
TY  - CONF
AU  - Qiao, Tanqiu
AU  - Men, Qianhui
AU  - Li, Frederick W. B.
AU  - Kubotani, Yoshiki
AU  - Morishima, Shigeo
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 European Conference on Computer Vision
TI  - Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos
PY  - 2022
Y1  - 10 2022
SP  - 474
EP  - 491
DO  - 10.1007/978-3-031-19772-7_28
SN  - 978-3-031-19772-7
PB  - Springer
ER  - 
Paper Supplementary Material Dataset GitHub
A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction
A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction Impact Factor: 8.3Top 10% Journal in Engineering, Electrical & ElectronicCitation: 29#
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum and Howard Leung
Webpage Cite This Plain Text
Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum and Howard Leung, "A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction," IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 9, pp. 3417-3432, IEEE, 2021.
Bibtex
@article{men21quadruple,
 author={Men, Qianhui and Ho, Edmond S. L. and Shum, Hubert P. H. and Leung, Howard},
 journal={IEEE Transactions on Circuits and Systems for Video Technology},
 series={TCSVT '24},
 title={A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction},
 year={2021},
 volume={31},
 number={9},
 pages={3417--3432},
 numpages={16},
 doi={10.1109/TCSVT.2020.3038145},
 issn={1051-8215},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Men, Qianhui
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
AU  - Leung, Howard
T2  - IEEE Transactions on Circuits and Systems for Video Technology
TI  - A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction
PY  - 2021
VL  - 31
IS  - 9
SP  - 3417
EP  - 3432
DO  - 10.1109/TCSVT.2020.3038145
SN  - 1051-8215
PB  - IEEE
ER  - 
Paper GitHub YouTube
PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction
PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction Impact Factor: 1.3
Software Impacts (SIMPAC), 2021
Qianhui Men and Hubert P. H. Shum
Webpage Cite This Plain Text
Qianhui Men and Hubert P. H. Shum, "PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction," Software Impacts, vol. 11, pp. 100201, Elsevier, 2021.
Bibtex
@article{men21pytorch,
 author={Men, Qianhui and Shum, Hubert P. H.},
 journal={Software Impacts},
 series={SIMPAC '24},
 title={PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction},
 year={2021},
 volume={11},
 pages={100201},
 numpages={3},
 doi={10.1016/j.simpa.2021.100201},
 issn={2665-9638},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Men, Qianhui
AU  - Shum, Hubert P. H.
T2  - Software Impacts
TI  - PyTorch-Based Implementation of Label-Aware Graph Representation for Multi-Class Trajectory Prediction
PY  - 2021
VL  - 11
SP  - 100201
EP  - 100201
DO  - 10.1016/j.simpa.2021.100201
SN  - 2665-9638
PB  - Elsevier
ER  - 
Paper
Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction
Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction Citation: 20#
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021
Ben Rainbow, Qianhui Men and Hubert P. H. Shum
Webpage Cite This Plain Text
Ben Rainbow, Qianhui Men and Hubert P. H. Shum, "Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction," in SMC '21: Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, pp. 2959-2966, Melbourne, Australia, IEEE, Oct 2021.
Bibtex
@inproceedings{rainbow21semantics,
 author={Rainbow, Ben and Men, Qianhui and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics},
 series={SMC '21},
 title={Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction},
 year={2021},
 month={10},
 pages={2959--2966},
 numpages={8},
 doi={10.1109/SMC52423.2021.9658781},
 issn={2959-2966},
 publisher={IEEE},
 location={Melbourne, Australia},
}
RIS
TY  - CONF
AU  - Rainbow, Ben
AU  - Men, Qianhui
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics
TI  - Semantics-STGCNN: A Semantics-Guided Spatial-Temporal Graph Convolutional Network for Multi-Class Trajectory Prediction
PY  - 2021
Y1  - 10 2021
SP  - 2959
EP  - 2966
DO  - 10.1109/SMC52423.2021.9658781
SN  - 2959-2966
PB  - IEEE
ER  - 
Paper YouTube
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention Citation: 19#
Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2021
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum, "Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention," in BHI '21: Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 1-4, IEEE, Jul 2021.
Bibtex
@inproceedings{zhu21interpreting,
 author={Zhu, Manli and Men, Qianhui and Ho, Edmond S. L. and Leung, Howard and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics},
 series={BHI '21},
 title={Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention},
 year={2021},
 month={7},
 pages={1--4},
 numpages={4},
 doi={10.1109/BHI50953.2021.9508619},
 issn={2641-3604},
 publisher={IEEE},
}
RIS
TY  - CONF
AU  - Zhu, Manli
AU  - Men, Qianhui
AU  - Ho, Edmond S. L.
AU  - Leung, Howard
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics
TI  - Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
PY  - 2021
Y1  - 7 2021
SP  - 1
EP  - 4
DO  - 10.1109/BHI50953.2021.9508619
SN  - 2641-3604
PB  - IEEE
ER  - 
Paper YouTube
A Two-Stream Recurrent Network for Skeleton-Based Human Interaction Recognition
A Two-Stream Recurrent Network for Skeleton-Based Human Interaction Recognition H5-Index: 56#Citation: 12#
Proceedings of the 2020 International Conference on Pattern Recognition (ICPR), 2020
Qianhui Men, Howard Leung, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Cite This Plain Text
Qianhui Men, Howard Leung, Edmond S. L. Ho and Hubert P. H. Shum, "A Two-Stream Recurrent Network for Skeleton-Based Human Interaction Recognition," in ICPR '20: Proceedings of the 2020 International Conference on Pattern Recognition, pp. 2771-2778, Milan, Italy, Jan 2020.
Bibtex
@inproceedings{men20interaction,
 author={Men, Qianhui and Leung, Howard and Ho, Edmond S. L. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2020 International Conference on Pattern Recognition},
 series={ICPR '20},
 title={A Two-Stream Recurrent Network for Skeleton-Based Human Interaction Recognition},
 year={2020},
 month={1},
 pages={2771--2778},
 numpages={8},
 doi={10.1109/ICPR48806.2021.9412538},
 location={Milan, Italy},
}
RIS
TY  - CONF
AU  - Men, Qianhui
AU  - Leung, Howard
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2020 International Conference on Pattern Recognition
TI  - A Two-Stream Recurrent Network for Skeleton-Based Human Interaction Recognition
PY  - 2020
Y1  - 1 2020
SP  - 2771
EP  - 2778
DO  - 10.1109/ICPR48806.2021.9412538
ER  - 
Paper YouTube

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