Research Publications - Action Recognition

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We recognise human action and higher-level human activities with novel geometric features such as human skeletons, object bounding boxes and interaction measures, allowing robust recognition in cluttered environments.

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Citations 50+

Improving Posture Classification Accuracy for Depth Sensor-Based Human Activity Monitoring in Smart Environments
Improving Posture Classification Accuracy for Depth Sensor-Based Human Activity Monitoring in Smart Environments Impact Factor: 4.3Citation: 97#
Computer Vision and Image Understanding (CVIU), 2016
Edmond S. L. Ho, Jacky C. P. Chan, Donald C. K. Chan, Hubert P. H. Shum, Yiu-ming Cheung and P. C. Yuen
Webpage Cite This Plain Text
Edmond S. L. Ho, Jacky C. P. Chan, Donald C. K. Chan, Hubert P. H. Shum, Yiu-ming Cheung and P. C. Yuen, "Improving Posture Classification Accuracy for Depth Sensor-Based Human Activity Monitoring in Smart Environments," Computer Vision and Image Understanding, vol. 148, pp. 97-110, Elsevier, Jul 2016.
Bibtex
@article{ho16improving,
 author={Ho, Edmond S. L. and Chan, Jacky C. P. and Chan, Donald C. K. and Shum, Hubert P. H. and Cheung, Yiu-ming and Yuen, P. C.},
 journal={Computer Vision and Image Understanding},
 series={CVIU '24},
 title={Improving Posture Classification Accuracy for Depth Sensor-Based Human Activity Monitoring in Smart Environments},
 year={2016},
 month={7},
 volume={148},
 pages={97--110},
 numpages={14},
 doi={10.1016/j.cviu.2015.12.011},
 issn={1077-3142},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Ho, Edmond S. L.
AU  - Chan, Jacky C. P.
AU  - Chan, Donald C. K.
AU  - Shum, Hubert P. H.
AU  - Cheung, Yiu-ming
AU  - Yuen, P. C.
T2  - Computer Vision and Image Understanding
TI  - Improving Posture Classification Accuracy for Depth Sensor-Based Human Activity Monitoring in Smart Environments
PY  - 2016
Y1  - 7 2016
VL  - 148
SP  - 97
EP  - 110
DO  - 10.1016/j.cviu.2015.12.011
SN  - 1077-3142
PB  - Elsevier
ER  - 
Paper
Emulating Human Perception of Motion Similarity
Emulating Human Perception of Motion Similarity  Best Paper AwardCitation: 80#
Computer Animation and Virtual Worlds (CAVW) - Proceedings of the 2008 International Conference on Computer Animation and Social Agents (CASA), 2008
Jeff K. T. Tang, Howard Leung, Taku Komura and Hubert P. H. Shum
Webpage Cite This Plain Text
Jeff K. T. Tang, Howard Leung, Taku Komura and Hubert P. H. Shum, "Emulating Human Perception of Motion Similarity," Computer Animation and Virtual Worlds, vol. 19, no. 3--4, pp. 211-221, John Wiley and Sons Ltd., 2008.
Bibtex
@article{tang08emulating,
 author={Tang, Jeff K. T. and Leung, Howard and Komura, Taku and Shum, Hubert P. H.},
 journal={Computer Animation and Virtual Worlds},
 series={CASA '24},
 title={Emulating Human Perception of Motion Similarity},
 year={2008},
 volume={19},
 number={3--4},
 pages={211--221},
 numpages={11},
 doi={10.1002/cav.v19:3/4},
 issn={1546-4261},
 publisher={John Wiley and Sons Ltd.},
 Address={Chichester, UK},
}
RIS
TY  - JOUR
AU  - Tang, Jeff K. T.
AU  - Leung, Howard
AU  - Komura, Taku
AU  - Shum, Hubert P. H.
T2  - Computer Animation and Virtual Worlds
TI  - Emulating Human Perception of Motion Similarity
PY  - 2008
VL  - 19
IS  - 3--4
SP  - 211
EP  - 221
DO  - 10.1002/cav.v19:3/4
SN  - 1546-4261
PB  - John Wiley and Sons Ltd.
ER  - 
Paper YouTube
Action Recognition from Arbitrary Views Using Transferable Dictionary Learning
Action Recognition from Arbitrary Views Using Transferable Dictionary Learning REF 2021 Submitted OutputImpact Factor: 10.8Top 10% Journal in Computer Science, Artificial IntelligenceCitation: 67#
IEEE Transactions on Image Processing (TIP), 2018
Jingtian Zhang, Hubert P. H. Shum, Jungong Han and Ling Shao
Webpage Cite This Plain Text
Jingtian Zhang, Hubert P. H. Shum, Jungong Han and Ling Shao, "Action Recognition from Arbitrary Views Using Transferable Dictionary Learning," IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 4709-4723, IEEE, 2018.
Bibtex
@article{zhang18arbitrary,
 author={Zhang, Jingtian and Shum, Hubert P. H. and Han, Jungong and Shao, Ling},
 journal={IEEE Transactions on Image Processing},
 series={TIP '24},
 title={Action Recognition from Arbitrary Views Using Transferable Dictionary Learning},
 year={2018},
 volume={27},
 number={10},
 pages={4709--4723},
 numpages={15},
 doi={10.1109/TIP.2018.2836323},
 issn={1057-7149},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Zhang, Jingtian
AU  - Shum, Hubert P. H.
AU  - Han, Jungong
AU  - Shao, Ling
T2  - IEEE Transactions on Image Processing
TI  - Action Recognition from Arbitrary Views Using Transferable Dictionary Learning
PY  - 2018
VL  - 27
IS  - 10
SP  - 4709
EP  - 4723
DO  - 10.1109/TIP.2018.2836323
SN  - 1057-7149
PB  - IEEE
ER  - 
Paper Dataset

Citations 30+

Human Action Recognition via Skeletal and Depth Based Feature Fusion
Human Action Recognition via Skeletal and Depth Based Feature Fusion Citation: 36#
Proceedings of the 2016 ACM International Conference on Motion in Games (MIG), 2016
Meng Li, Howard Leung and Hubert P. H. Shum
Webpage Cite This Plain Text
Meng Li, Howard Leung and Hubert P. H. Shum, "Human Action Recognition via Skeletal and Depth Based Feature Fusion," in MIG '16: Proceedings of the 2016 ACM International Conference on Motion in Games, pp. 123-132, San Francisco, USA, ACM, Oct 2016.
Bibtex
@inproceedings{meng16human,
 author={Li, Meng and Leung, Howard and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2016 ACM International Conference on Motion in Games},
 series={MIG '16},
 title={Human Action Recognition via Skeletal and Depth Based Feature Fusion},
 year={2016},
 month={10},
 pages={123--132},
 numpages={10},
 doi={10.1145/2994258.2994268},
 isbn={978-1-4503-4592-7},
 publisher={ACM},
 Address={New York, NY, USA},
 location={San Francisco, USA},
}
RIS
TY  - CONF
AU  - Li, Meng
AU  - Leung, Howard
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2016 ACM International Conference on Motion in Games
TI  - Human Action Recognition via Skeletal and Depth Based Feature Fusion
PY  - 2016
Y1  - 10 2016
SP  - 123
EP  - 132
DO  - 10.1145/2994258.2994268
SN  - 978-1-4503-4592-7
PB  - ACM
ER  - 
Paper

Citations 20+

Interaction-Based Human Activity Comparison
Interaction-Based Human Activity Comparison REF 2021 Submitted OutputImpact Factor: 4.7Top 25% Journal in Computer Science, Software EngineeringCitation: 29#
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Yijun Shen, Longzhi Yang, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Cite This Plain Text
Yijun Shen, Longzhi Yang, Edmond S. L. Ho and Hubert P. H. Shum, "Interaction-Based Human Activity Comparison," IEEE Transactions on Visualization and Computer Graphics, vol. 26, no. 8, pp. 115673-115684, IEEE, 2020.
Bibtex
@article{shen20interaction,
 author={Shen, Yijun and Yang, Longzhi and Ho, Edmond S. L. and Shum, Hubert P. H.},
 journal={IEEE Transactions on Visualization and Computer Graphics},
 series={TVCG '24},
 title={Interaction-Based Human Activity Comparison},
 year={2020},
 volume={26},
 number={8},
 pages={115673--115684},
 numpages={14},
 doi={10.1109/TVCG.2019.2893247},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Shen, Yijun
AU  - Yang, Longzhi
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
T2  - IEEE Transactions on Visualization and Computer Graphics
TI  - Interaction-Based Human Activity Comparison
PY  - 2020
VL  - 26
IS  - 8
SP  - 115673
EP  - 115684
DO  - 10.1109/TVCG.2019.2893247
PB  - IEEE
ER  - 
Paper Dataset GitHub YouTube
Finding Repetitive Patterns in 3D Human Motion Captured Data
Finding Repetitive Patterns in 3D Human Motion Captured Data Citation: 24#
Proceedings of the 2008 International Conference on Ubiquitous Information Management and Communication (ICUIMC), 2008
Jeff K. T. Tang, Howard Leung, Taku Komura and Hubert P. H. Shum
Webpage Cite This Plain Text
Jeff K. T. Tang, Howard Leung, Taku Komura and Hubert P. H. Shum, "Finding Repetitive Patterns in 3D Human Motion Captured Data," in ICUIMC '08: Proceedings of the 2008 International Conference on Ubiquitous Information Management and Communication, pp. 396-403, Suwon, Korea, ACM, Jan 2008.
Bibtex
@inproceedings{tang08finding,
 author={Tang, Jeff K. T. and Leung, Howard and Komura, Taku and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2008 International Conference on Ubiquitous Information Management and Communication},
 series={ICUIMC '08},
 title={Finding Repetitive Patterns in 3D Human Motion Captured Data},
 year={2008},
 month={1},
 pages={396--403},
 numpages={8},
 doi={10.1145/1352793.1352876},
 isbn={978-1-59593-993-7},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Suwon, Korea},
}
RIS
TY  - CONF
AU  - Tang, Jeff K. T.
AU  - Leung, Howard
AU  - Komura, Taku
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2008 International Conference on Ubiquitous Information Management and Communication
TI  - Finding Repetitive Patterns in 3D Human Motion Captured Data
PY  - 2008
Y1  - 1 2008
SP  - 396
EP  - 403
DO  - 10.1145/1352793.1352876
SN  - 978-1-59593-993-7
PB  - ACM
ER  - 
Paper
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

Citations 10+

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
Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data
Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data H5-Index: 122#Core A* ConferenceCitation: 16#
Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016
Jingtian Zhang, Lining Zhang, Hubert P. H. Shum and Ling Shao
Webpage Cite This Plain Text
Jingtian Zhang, Lining Zhang, Hubert P. H. Shum and Ling Shao, "Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data," in ICRA '16: Proceedings of the 2016 IEEE International Conference on Robotics and Automation, pp. 1678-1684, Stockholm, Sweden, IEEE, May 2016.
Bibtex
@inproceedings{zhang16arbitrary,
 author={Zhang, Jingtian and Zhang, Lining and Shum, Hubert P. H. and Shao, Ling},
 booktitle={Proceedings of the 2016 IEEE International Conference on Robotics and Automation},
 series={ICRA '16},
 title={Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data},
 year={2016},
 month={5},
 pages={1678--1684},
 numpages={8},
 doi={10.1109/ICRA.2016.7487309},
 publisher={IEEE},
 location={Stockholm, Sweden},
}
RIS
TY  - CONF
AU  - Zhang, Jingtian
AU  - Zhang, Lining
AU  - Shum, Hubert P. H.
AU  - Shao, Ling
T2  - Proceedings of the 2016 IEEE International Conference on Robotics and Automation
TI  - Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data
PY  - 2016
Y1  - 5 2016
SP  - 1678
EP  - 1684
DO  - 10.1109/ICRA.2016.7487309
PB  - IEEE
ER  - 
Paper Dataset GitHub
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient H5-Index: 291#Core A* ConferenceCitation: 15#
Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang and Hubert P. H. Shum
Webpage Cite This Plain Text
Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang and Hubert P. H. Shum, "Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient," in ICCV '23: Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision, pp. 4574-4583, Paris, France, IEEE/CVF, Oct 2023.
Bibtex
@inproceedings{lu23hard,
 author={Lu, Zhengzhi and Wang, He and Chang, Ziyi and Yang, Guoan and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision},
 series={ICCV '23},
 title={Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient},
 year={2023},
 month={10},
 pages={4574--4583},
 numpages={10},
 doi={10.1109/ICCV51070.2023.00424},
 publisher={IEEE/CVF},
 location={Paris, France},
}
RIS
TY  - CONF
AU  - Lu, Zhengzhi
AU  - Wang, He
AU  - Chang, Ziyi
AU  - Yang, Guoan
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision
TI  - Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
PY  - 2023
Y1  - 10 2023
SP  - 4574
EP  - 4583
DO  - 10.1109/ICCV51070.2023.00424
PB  - IEEE/CVF
ER  - 
Paper Supplementary Material GitHub YouTube
High-Speed Multi-Person Pose Estimation with Deep Feature Transfer
High-Speed Multi-Person Pose Estimation with Deep Feature Transfer Impact Factor: 4.3Citation: 13#
Computer Vision and Image Understanding (CVIU), 2020
Ying Huang, Hubert P. H. Shum, Edmond S. L. Ho and Nauman Aslam
Webpage Cite This Plain Text
Ying Huang, Hubert P. H. Shum, Edmond S. L. Ho and Nauman Aslam, "High-Speed Multi-Person Pose Estimation with Deep Feature Transfer," Computer Vision and Image Understanding, vol. 197-198, pp. 103010, Elsevier, 2020.
Bibtex
@article{huang20highspeed,
 author={Huang, Ying and Shum, Hubert P. H. and Ho, Edmond S. L. and Aslam, Nauman},
 journal={Computer Vision and Image Understanding},
 series={CVIU '24},
 title={High-Speed Multi-Person Pose Estimation with Deep Feature Transfer},
 year={2020},
 volume={197-198},
 pages={103010},
 numpages={14},
 doi={10.1016/j.cviu.2020.103010},
 issn={1077-3142},
 publisher={Elsevier},
}
RIS
TY  - JOUR
AU  - Huang, Ying
AU  - Shum, Hubert P. H.
AU  - Ho, Edmond S. L.
AU  - Aslam, Nauman
T2  - Computer Vision and Image Understanding
TI  - High-Speed Multi-Person Pose Estimation with Deep Feature Transfer
PY  - 2020
VL  - 197-198
SP  - 103010
EP  - 103010
DO  - 10.1016/j.cviu.2020.103010
SN  - 1077-3142
PB  - Elsevier
ER  - 
Paper
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

Citations 0+

CCESK: A Chinese Character Educational System Based on Kinect
CCESK: A Chinese Character Educational System Based on Kinect Impact Factor: 2.9Top 25% Journal in Education & Educational Research
IEEE Transactions on Learning Technologies (TLT), 2018
Yang Yang, Howard Leung, Hubert P. H. Shum, Jiao Li, Lanling Zeng, Nauman Aslam and Zhigeng Pan
Webpage Cite This Plain Text
Yang Yang, Howard Leung, Hubert P. H. Shum, Jiao Li, Lanling Zeng, Nauman Aslam and Zhigeng Pan, "CCESK: A Chinese Character Educational System Based on Kinect," IEEE Transactions on Learning Technologies, vol. 11, no. 3, pp. 342-347, IEEE, 2018.
Bibtex
@article{yang18ccesk,
 author={Yang, Yang and Leung, Howard and Shum, Hubert P. H. and Li, Jiao and Zeng, Lanling and Aslam, Nauman and Pan, Zhigeng},
 journal={IEEE Transactions on Learning Technologies},
 series={TLT '24},
 title={CCESK: A Chinese Character Educational System Based on Kinect},
 year={2018},
 volume={11},
 number={3},
 pages={342--347},
 numpages={6},
 doi={10.1109/TLT.2017.2723888},
 issn={1939-1382},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Yang, Yang
AU  - Leung, Howard
AU  - Shum, Hubert P. H.
AU  - Li, Jiao
AU  - Zeng, Lanling
AU  - Aslam, Nauman
AU  - Pan, Zhigeng
T2  - IEEE Transactions on Learning Technologies
TI  - CCESK: A Chinese Character Educational System Based on Kinect
PY  - 2018
VL  - 11
IS  - 3
SP  - 342
EP  - 347
DO  - 10.1109/TLT.2017.2723888
SN  - 1939-1382
PB  - IEEE
ER  - 
Paper Supplementary Material
A Motion Classification Approach to Fall Detection
A Motion Classification Approach to Fall Detection
Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017
Shanfeng Hu, Worasak Rueangsirarak, Maxime Bouchee, Nauman Aslam and Hubert P. H. Shum
Webpage Cite This Plain Text
Shanfeng Hu, Worasak Rueangsirarak, Maxime Bouchee, Nauman Aslam and Hubert P. H. Shum, "A Motion Classification Approach to Fall Detection," in SKIMA '17: Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications, pp. 1-6, Colombo, Sri Lanka, IEEE, Dec 2017.
Bibtex
@inproceedings{hu17motion,
 author={Hu, Shanfeng and Rueangsirarak, Worasak and Bouchee, Maxime and Aslam, Nauman and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications},
 series={SKIMA '17},
 title={A Motion Classification Approach to Fall Detection},
 year={2017},
 month={12},
 pages={1--6},
 numpages={6},
 doi={10.1109/SKIMA.2017.8294096},
 issn={2573-3214},
 publisher={IEEE},
 location={Colombo, Sri Lanka},
}
RIS
TY  - CONF
AU  - Hu, Shanfeng
AU  - Rueangsirarak, Worasak
AU  - Bouchee, Maxime
AU  - Aslam, Nauman
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications
TI  - A Motion Classification Approach to Fall Detection
PY  - 2017
Y1  - 12 2017
SP  - 1
EP  - 6
DO  - 10.1109/SKIMA.2017.8294096
SN  - 2573-3214
PB  - IEEE
ER  - 
Paper
A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022
Manli Zhu, Edmond S. L. Ho and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Edmond S. L. Ho and Hubert P. H. Shum, "A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection," in SMC '22: Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics, pp. 275-281, Prague, Czech Republic, IEEE, Oct 2022.
Bibtex
@inproceedings{zhu22skeleton,
 author={Zhu, Manli and Ho, Edmond S. L. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics},
 series={SMC '22},
 title={A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection},
 year={2022},
 month={10},
 pages={275--281},
 numpages={7},
 doi={10.1109/SMC53654.2022.9945149},
 publisher={IEEE},
 location={Prague, Czech Republic},
}
RIS
TY  - CONF
AU  - Zhu, Manli
AU  - Ho, Edmond S. L.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2022 IEEE International Conference on Systems, Man, and Cybernetics
TI  - A Skeleton-Aware Graph Convolutional Network for Human-Object Interaction Detection
PY  - 2022
Y1  - 10 2022
SP  - 275
EP  - 281
DO  - 10.1109/SMC53654.2022.9945149
PB  - IEEE
ER  - 
Paper
Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition
Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition
Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition (IAHFAR), 2018
Zheming Zuo, Daniel Organisciak, Hubert P. H. Shum and Longzhi Yang
Webpage Cite This Plain Text
Zheming Zuo, Daniel Organisciak, Hubert P. H. Shum and Longzhi Yang, "Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition," in IAHFAR '18: Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition, Newcastle upon Tyne, UK, Sep 2018.
Bibtex
@inproceedings{zuo18saliency,
 author={Zuo, Zheming and Organisciak, Daniel and Shum, Hubert P. H. and Yang, Longzhi},
 booktitle={Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition},
 series={IAHFAR '18},
 title={Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition},
 year={2018},
 month={9},
 numpages={11},
 location={Newcastle upon Tyne, UK},
}
RIS
TY  - CONF
AU  - Zuo, Zheming
AU  - Organisciak, Daniel
AU  - Shum, Hubert P. H.
AU  - Yang, Longzhi
T2  - Proceedings of the 2018 British Machine Vision Conference Workshop on Image Analysis for Human Facial and Activity Recognition
TI  - Saliency-Informed Spatio-Temporal Vector of Locally Aggregated Descriptors and Fisher Vectors for Visual Action Recognition
PY  - 2018
Y1  - 9 2018
ER  - 
Paper
Temporal Clustering of Motion Capture Data with Optimal Partitioning
Temporal Clustering of Motion Capture Data with Optimal Partitioning
Proceedings of the 2016 International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI), 2016
Yang Yang, Huiwen Bian, Hubert P. H. Shum, Nauman Aslam and Lanling Zeng
Webpage Cite This Plain Text
Yang Yang, Huiwen Bian, Hubert P. H. Shum, Nauman Aslam and Lanling Zeng, "Temporal Clustering of Motion Capture Data with Optimal Partitioning," in VRCAI '16: Proceedings of the 2016 International Conference on Virtual-Reality Continuum and its Applications in Industry, pp. 479-482, Zhuhai, China, ACM, Dec 2016.
Bibtex
@inproceedings{yang16temporal,
 author={Yang, Yang and Bian, Huiwen and Shum, Hubert P. H. and Aslam, Nauman and Zeng, Lanling},
 booktitle={Proceedings of the 2016 International Conference on Virtual-Reality Continuum and its Applications in Industry},
 series={VRCAI '16},
 title={Temporal Clustering of Motion Capture Data with Optimal Partitioning},
 year={2016},
 month={12},
 pages={479--482},
 numpages={4},
 doi={10.1145/3013971.3014019},
 isbn={978-1-4503-4692-4},
 publisher={ACM},
 Address={New York, NY, USA},
 location={Zhuhai, China},
}
RIS
TY  - CONF
AU  - Yang, Yang
AU  - Bian, Huiwen
AU  - Shum, Hubert P. H.
AU  - Aslam, Nauman
AU  - Zeng, Lanling
T2  - Proceedings of the 2016 International Conference on Virtual-Reality Continuum and its Applications in Industry
TI  - Temporal Clustering of Motion Capture Data with Optimal Partitioning
PY  - 2016
Y1  - 12 2016
SP  - 479
EP  - 482
DO  - 10.1145/3013971.3014019
SN  - 978-1-4503-4692-4
PB  - ACM
ER  - 
Paper
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos H5-Index: 56#
Proceedings of the 2024 International Conference on Pattern Recognition (ICPR), 2024
Tanqiu Qiao, Ruochen Li, Frederick W. B. Li and Hubert P. H. Shum
Webpage Cite This Plain Text
Tanqiu Qiao, Ruochen Li, Frederick W. B. Li and Hubert P. H. Shum, "From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos," in ICPR '24: Proceedings of the 2024 International Conference on Pattern Recognition, Kolkata, India, 2024.
Bibtex
@inproceedings{qiao24from,
 author={Qiao, Tanqiu and Li, Ruochen and Li, Frederick W. B. and Shum, Hubert P. H.},
 booktitle={Proceedings of the 2024 International Conference on Pattern Recognition},
 series={ICPR '24},
 title={From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos},
 year={2024},
 location={Kolkata, India},
}
RIS
TY  - CONF
AU  - Qiao, Tanqiu
AU  - Li, Ruochen
AU  - Li, Frederick W. B.
AU  - Shum, Hubert P. H.
T2  - Proceedings of the 2024 International Conference on Pattern Recognition
TI  - From Category to Scenery: An End-to-End Framework for Multi-Person Human-Object Interaction Recognition in Videos
PY  - 2024
ER  - 
Paper Supplementary Material
Geometric Features Enhanced Human-Object Interaction Detection
Geometric Features Enhanced Human-Object Interaction Detection Impact Factor: 5.6Top 25% Journal in Engineering, Electrical & Electronic
IEEE Transactions on Instrumentation and Measurement (TIM), 2024
Manli Zhu, Edmond S. L. Ho, Shuang Chen, Longzhi Yang and Hubert P. H. Shum
Webpage Cite This Plain Text
Manli Zhu, Edmond S. L. Ho, Shuang Chen, Longzhi Yang and Hubert P. H. Shum, "Geometric Features Enhanced Human-Object Interaction Detection," IEEE Transactions on Instrumentation and Measurement, vol. 73, IEEE, 2024.
Bibtex
@article{zhu24geometric,
 author={Zhu, Manli and Ho, Edmond S. L. and Chen, Shuang and Yang, Longzhi and Shum, Hubert P. H.},
 journal={IEEE Transactions on Instrumentation and Measurement},
 title={Geometric Features Enhanced Human-Object Interaction Detection},
 year={2024},
 volume={73},
 numpages={14},
 doi={10.1109/TIM.2024.3427800},
 issn={0018-9456},
 publisher={IEEE},
}
RIS
TY  - JOUR
AU  - Zhu, Manli
AU  - Ho, Edmond S. L.
AU  - Chen, Shuang
AU  - Yang, Longzhi
AU  - Shum, Hubert P. H.
T2  - IEEE Transactions on Instrumentation and Measurement
TI  - Geometric Features Enhanced Human-Object Interaction Detection
PY  - 2024
VL  - 73
DO  - 10.1109/TIM.2024.3427800
SN  - 0018-9456
PB  - IEEE
ER  - 
Paper Supplementary Material GitHub


† According to Journal Citation Reports 2023
‡ According to Core Ranking 2023
# According to Google Scholar 2025


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