Research Publications - Video Analysis / Selected Publications
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We tackle the challenges of high-dimensional and high-volume data in video analysis through the extraction of representative geometric features and the fusion of multi-modality features.
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Impact Factor 7.0+
Hierarchical Graph Convolutional Networks for Action Quality Assessment Impact Factor: 8.3† Top 10% Journal in Engineering, Electrical & Electronic† Citation: 39#
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
Kanglei Zhou, Yue Ma, Hubert P. H. Shum and Xiaohui Liang
Topics: Motion Analysis, Video Analysis
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IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023
Kanglei Zhou, Yue Ma, Hubert P. H. Shum and Xiaohui Liang
Topics: Motion Analysis, Video Analysis
Webpage Cite This Plain Text
Kanglei Zhou, Yue Ma, Hubert P. H. Shum and Xiaohui Liang, "Hierarchical Graph Convolutional Networks for Action Quality Assessment," IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 12, pp. 7749-7763, IEEE, 2023.
Bibtex @article{zhou23hierarchical,
author={Zhou, Kanglei and Ma, Yue and Shum, Hubert P. H. and Liang, Xiaohui},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={Hierarchical Graph Convolutional Networks for Action Quality Assessment},
year={2023},
volume={33},
number={12},
pages={7749-7763},
numpages={15},
doi={10.1109/TCSVT.2023.3281413},
issn={1051-8215},
publisher={IEEE},
}
RIS author={Zhou, Kanglei and Ma, Yue and Shum, Hubert P. H. and Liang, Xiaohui},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={Hierarchical Graph Convolutional Networks for Action Quality Assessment},
year={2023},
volume={33},
number={12},
pages={7749-7763},
numpages={15},
doi={10.1109/TCSVT.2023.3281413},
issn={1051-8215},
publisher={IEEE},
}
TY - JOUR
AU - Zhou, Kanglei
AU - Ma, Yue
AU - Shum, Hubert P. H.
AU - Liang, Xiaohui
T2 - IEEE Transactions on Circuits and Systems for Video Technology
TI - Hierarchical Graph Convolutional Networks for Action Quality Assessment
PY - 2023
VL - 33
IS - 12
SP - 7749-7763
EP - 7749-7763
DO - 10.1109/TCSVT.2023.3281413
SN - 1051-8215
PB - IEEE
ER -
Paper GitHubAU - Zhou, Kanglei
AU - Ma, Yue
AU - Shum, Hubert P. H.
AU - Liang, Xiaohui
T2 - IEEE Transactions on Circuits and Systems for Video Technology
TI - Hierarchical Graph Convolutional Networks for Action Quality Assessment
PY - 2023
VL - 33
IS - 12
SP - 7749-7763
EP - 7749-7763
DO - 10.1109/TCSVT.2023.3281413
SN - 1051-8215
PB - IEEE
ER -
Impact Factor 3.0+
A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants Impact Factor: 4.8† Citation: 38#
IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2022
Kevin D. McCay, Pengpeng Hu, Hubert P. H. Shum, Wai Lok Woo, Claire Marcroft, Nicholas D. Embleton, Adrian Munteanu and Edmond S. L. Ho
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Healthcare Diagnosis
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IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2022
Kevin D. McCay, Pengpeng Hu, Hubert P. H. Shum, Wai Lok Woo, Claire Marcroft, Nicholas D. Embleton, Adrian Munteanu and Edmond S. L. Ho
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Healthcare Diagnosis
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Kevin D. McCay, Pengpeng Hu, Hubert P. H. Shum, Wai Lok Woo, Claire Marcroft, Nicholas D. Embleton, Adrian Munteanu and Edmond S. L. Ho, "A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 8-19, IEEE, 2022.
Bibtex @article{mccay22posebased,
author={McCay, Kevin D. and Hu, Pengpeng and Shum, Hubert P. H. and Woo, Wai Lok and Marcroft, Claire and Embleton, Nicholas D. and Munteanu, Adrian and Ho, Edmond S. L.},
journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
title={A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants},
year={2022},
volume={30},
pages={8--19},
numpages={12},
doi={10.1109/TNSRE.2021.3138185},
issn={1534-4320 },
publisher={IEEE},
}
RIS author={McCay, Kevin D. and Hu, Pengpeng and Shum, Hubert P. H. and Woo, Wai Lok and Marcroft, Claire and Embleton, Nicholas D. and Munteanu, Adrian and Ho, Edmond S. L.},
journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
title={A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants},
year={2022},
volume={30},
pages={8--19},
numpages={12},
doi={10.1109/TNSRE.2021.3138185},
issn={1534-4320 },
publisher={IEEE},
}
TY - JOUR
AU - McCay, Kevin D.
AU - Hu, Pengpeng
AU - Shum, Hubert P. H.
AU - Woo, Wai Lok
AU - Marcroft, Claire
AU - Embleton, Nicholas D.
AU - Munteanu, Adrian
AU - Ho, Edmond S. L.
T2 - IEEE Transactions on Neural Systems and Rehabilitation Engineering
TI - A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants
PY - 2022
VL - 30
SP - 8
EP - 19
DO - 10.1109/TNSRE.2021.3138185
SN - 1534-4320
PB - IEEE
ER -
Paper GitHubAU - McCay, Kevin D.
AU - Hu, Pengpeng
AU - Shum, Hubert P. H.
AU - Woo, Wai Lok
AU - Marcroft, Claire
AU - Embleton, Nicholas D.
AU - Munteanu, Adrian
AU - Ho, Edmond S. L.
T2 - IEEE Transactions on Neural Systems and Rehabilitation Engineering
TI - A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants
PY - 2022
VL - 30
SP - 8
EP - 19
DO - 10.1109/TNSRE.2021.3138185
SN - 1534-4320
PB - IEEE
ER -
A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis Impact Factor: 4.7† Top 25% Journal in Computer Science, Software Engineering† Citation: 17#
IEEE Transactions on Visualization and Computer Graphics (TVCG) - Proceedings of the 2023 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2023
Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert P. H. Shum, Frederick W. B. Li, Song Jin and Xiaohui Liang
Topics: Virtual Reality, Motion Analysis, Biomedical Engineering, Video Analysis, Healthcare Diagnosis, Responsible AI
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IEEE Transactions on Visualization and Computer Graphics (TVCG) - Proceedings of the 2023 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2023
Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert P. H. Shum, Frederick W. B. Li, Song Jin and Xiaohui Liang
Topics: Virtual Reality, Motion Analysis, Biomedical Engineering, Video Analysis, Healthcare Diagnosis, Responsible AI
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Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert P. H. Shum, Frederick W. B. Li, Song Jin and Xiaohui Liang, "A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis," IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 5, pp. 2456-2466, Shanghai, China, IEEE, 2023.
Bibtex @article{zhou23video,
author={Zhou, Kanglei and Cai, Ruizhi and Ma, Yue and Tan, Qingqing and Wang, Xinning and Li, Jianguo and Shum, Hubert P. H. and Li, Frederick W. B. and Jin, Song and Liang, Xiaohui},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis},
year={2023},
volume={29},
number={5},
pages={2456--2466},
numpages={11},
doi={10.1109/TVCG.2023.3247092},
issn={1941-0506},
publisher={IEEE},
location={Shanghai, China},
}
RIS author={Zhou, Kanglei and Cai, Ruizhi and Ma, Yue and Tan, Qingqing and Wang, Xinning and Li, Jianguo and Shum, Hubert P. H. and Li, Frederick W. B. and Jin, Song and Liang, Xiaohui},
journal={IEEE Transactions on Visualization and Computer Graphics},
title={A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis},
year={2023},
volume={29},
number={5},
pages={2456--2466},
numpages={11},
doi={10.1109/TVCG.2023.3247092},
issn={1941-0506},
publisher={IEEE},
location={Shanghai, China},
}
TY - JOUR
AU - Zhou, Kanglei
AU - Cai, Ruizhi
AU - Ma, Yue
AU - Tan, Qingqing
AU - Wang, Xinning
AU - Li, Jianguo
AU - Shum, Hubert P. H.
AU - Li, Frederick W. B.
AU - Jin, Song
AU - Liang, Xiaohui
T2 - IEEE Transactions on Visualization and Computer Graphics
TI - A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis
PY - 2023
VL - 29
IS - 5
SP - 2456
EP - 2466
DO - 10.1109/TVCG.2023.3247092
SN - 1941-0506
PB - IEEE
ER -
Paper YouTubeAU - Zhou, Kanglei
AU - Cai, Ruizhi
AU - Ma, Yue
AU - Tan, Qingqing
AU - Wang, Xinning
AU - Li, Jianguo
AU - Shum, Hubert P. H.
AU - Li, Frederick W. B.
AU - Jin, Song
AU - Liang, Xiaohui
T2 - IEEE Transactions on Visualization and Computer Graphics
TI - A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis
PY - 2023
VL - 29
IS - 5
SP - 2456
EP - 2466
DO - 10.1109/TVCG.2023.3247092
SN - 1941-0506
PB - IEEE
ER -
Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation Impact Factor: 3.4†
IEEE Transactions on Medical Robotics and Bionics (TMRB), 2025
Francis Xiatian Zhang, Jingjing Deng, Robert Lieck and Hubert P. H. Shum
Topics: Biomedical Engineering, Interaction Modelling, Video Analysis, Motion Analysis
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IEEE Transactions on Medical Robotics and Bionics (TMRB), 2025
Francis Xiatian Zhang, Jingjing Deng, Robert Lieck and Hubert P. H. Shum
Topics: Biomedical Engineering, Interaction Modelling, Video Analysis, Motion Analysis
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Francis Xiatian Zhang, Jingjing Deng, Robert Lieck and Hubert P. H. Shum, "Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation," IEEE Transactions on Medical Robotics and Bionics, vol. 7, no. 1, pp. 266-280, IEEE, 2025.
Bibtex @article{zhang25adaptive,
author={Zhang, Francis Xiatian and Deng, Jingjing and Lieck, Robert and Shum, Hubert P. H.},
journal={IEEE Transactions on Medical Robotics and Bionics},
title={Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation},
year={2025},
volume={7},
number={1},
pages={266--280},
doi={10.1109/TMRB.2024.3517137},
issn={2576-3202},
publisher={IEEE},
}
RIS author={Zhang, Francis Xiatian and Deng, Jingjing and Lieck, Robert and Shum, Hubert P. H.},
journal={IEEE Transactions on Medical Robotics and Bionics},
title={Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation},
year={2025},
volume={7},
number={1},
pages={266--280},
doi={10.1109/TMRB.2024.3517137},
issn={2576-3202},
publisher={IEEE},
}
TY - JOUR
AU - Zhang, Francis Xiatian
AU - Deng, Jingjing
AU - Lieck, Robert
AU - Shum, Hubert P. H.
T2 - IEEE Transactions on Medical Robotics and Bionics
TI - Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation
PY - 2025
VL - 7
IS - 1
SP - 266
EP - 280
DO - 10.1109/TMRB.2024.3517137
SN - 2576-3202
PB - IEEE
ER -
Paper GitHub YouTubeAU - Zhang, Francis Xiatian
AU - Deng, Jingjing
AU - Lieck, Robert
AU - Shum, Hubert P. H.
T2 - IEEE Transactions on Medical Robotics and Bionics
TI - Adaptive Graph Learning from Spatial Information for Surgical Workflow Anticipation
PY - 2025
VL - 7
IS - 1
SP - 266
EP - 280
DO - 10.1109/TMRB.2024.3517137
SN - 2576-3202
PB - IEEE
ER -
Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features REF 2021 Submitted Output Impact Factor: 3.4† Citation: 80#
IEEE Access, 2020
Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Datasets, Healthcare Diagnosis, Responsible AI
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IEEE Access, 2020
Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Datasets, Healthcare Diagnosis, Responsible AI
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Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton, "Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features," IEEE Access, vol. 8, no. 1, pp. 51582-51592, IEEE, 2020.
Bibtex @article{mccay20abnormal,
author={McCay, Kevin D. and Ho, Edmond S. L. and Shum, Hubert P. H. and Fehringer, Gerhard and Marcroft, Claire and Embleton, Nicholas},
journal={IEEE Access},
title={Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features},
year={2020},
volume={8},
number={1},
pages={51582--51592},
numpages={11},
doi={10.1109/ACCESS.2020.2980269},
issn={2169-3536},
publisher={IEEE},
}
RIS author={McCay, Kevin D. and Ho, Edmond S. L. and Shum, Hubert P. H. and Fehringer, Gerhard and Marcroft, Claire and Embleton, Nicholas},
journal={IEEE Access},
title={Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features},
year={2020},
volume={8},
number={1},
pages={51582--51592},
numpages={11},
doi={10.1109/ACCESS.2020.2980269},
issn={2169-3536},
publisher={IEEE},
}
TY - JOUR
AU - McCay, Kevin D.
AU - Ho, Edmond S. L.
AU - Shum, Hubert P. H.
AU - Fehringer, Gerhard
AU - Marcroft, Claire
AU - Embleton, Nicholas
T2 - IEEE Access
TI - Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features
PY - 2020
VL - 8
IS - 1
SP - 51582
EP - 51592
DO - 10.1109/ACCESS.2020.2980269
SN - 2169-3536
PB - IEEE
ER -
Paper GitHubAU - McCay, Kevin D.
AU - Ho, Edmond S. L.
AU - Shum, Hubert P. H.
AU - Fehringer, Gerhard
AU - Marcroft, Claire
AU - Embleton, Nicholas
T2 - IEEE Access
TI - Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features
PY - 2020
VL - 8
IS - 1
SP - 51582
EP - 51592
DO - 10.1109/ACCESS.2020.2980269
SN - 2169-3536
PB - IEEE
ER -
Impact Factor 1.0+
Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video Impact Factor: 2.3†
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Healthcare Diagnosis, Responsible AI
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International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Healthcare Diagnosis, Responsible AI
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Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum, "Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video," International Journal of Computer Assisted Radiology and Surgery, vol. 19, pp. 831-840, Springer, 2024.
Bibtex @article{zhang24pose,
author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Din, Silvia Del and Shum, Hubert P. H.},
journal={International Journal of Computer Assisted Radiology and Surgery},
title={Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video},
year={2024},
volume={19},
pages={831--840},
numpages={10},
doi={10.1007/s11548-023-03052-4},
issn={1861-6429},
publisher={Springer},
}
RIS author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Din, Silvia Del and Shum, Hubert P. H.},
journal={International Journal of Computer Assisted Radiology and Surgery},
title={Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video},
year={2024},
volume={19},
pages={831--840},
numpages={10},
doi={10.1007/s11548-023-03052-4},
issn={1861-6429},
publisher={Springer},
}
TY - JOUR
AU - Zhang, Haozheng
AU - Ho, Edmond S. L.
AU - Zhang, Francis Xiatian
AU - Din, Silvia Del
AU - Shum, Hubert P. H.
T2 - International Journal of Computer Assisted Radiology and Surgery
TI - Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
PY - 2024
VL - 19
SP - 831
EP - 840
DO - 10.1007/s11548-023-03052-4
SN - 1861-6429
PB - Springer
ER -
PaperAU - Zhang, Haozheng
AU - Ho, Edmond S. L.
AU - Zhang, Francis Xiatian
AU - Din, Silvia Del
AU - Shum, Hubert P. H.
T2 - International Journal of Computer Assisted Radiology and Surgery
TI - Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
PY - 2024
VL - 19
SP - 831
EP - 840
DO - 10.1007/s11548-023-03052-4
SN - 1861-6429
PB - Springer
ER -
Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars Impact Factor: 2.3†
IET Intelligent Transport Systems (ITS), 2020
Yuan Hu, Hubert P. H. Shum and Edmond S. L. Ho
Topics: Robotics, Video Analysis
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IET Intelligent Transport Systems (ITS), 2020
Yuan Hu, Hubert P. H. Shum and Edmond S. L. Ho
Topics: Robotics, Video Analysis
Webpage Cite This Plain Text
Yuan Hu, Hubert P. H. Shum and Edmond S. L. Ho, "Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars," IET Intelligent Transport Systems, vol. 14, no. 13, pp. 1845-1854, Institution of Engineering and Technology, 2020.
Bibtex @article{hu21multitask,
author={Hu, Yuan and Shum, Hubert P. H. and Ho, Edmond S. L.},
journal={IET Intelligent Transport Systems},
title={Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars},
year={2020},
volume={14},
number={13},
pages={1845--1854},
numpages={10},
doi={10.1049/iet-its.2020.0439},
issn={1751-956X},
publisher={Institution of Engineering and Technology},
}
RIS author={Hu, Yuan and Shum, Hubert P. H. and Ho, Edmond S. L.},
journal={IET Intelligent Transport Systems},
title={Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars},
year={2020},
volume={14},
number={13},
pages={1845--1854},
numpages={10},
doi={10.1049/iet-its.2020.0439},
issn={1751-956X},
publisher={Institution of Engineering and Technology},
}
TY - JOUR
AU - Hu, Yuan
AU - Shum, Hubert P. H.
AU - Ho, Edmond S. L.
T2 - IET Intelligent Transport Systems
TI - Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars
PY - 2020
VL - 14
IS - 13
SP - 1845
EP - 1854
DO - 10.1049/iet-its.2020.0439
SN - 1751-956X
PB - Institution of Engineering and Technology
ER -
PaperAU - Hu, Yuan
AU - Shum, Hubert P. H.
AU - Ho, Edmond S. L.
T2 - IET Intelligent Transport Systems
TI - Multi-Task Deep Learning with Optical Flow Features for Self-Driving Cars
PY - 2020
VL - 14
IS - 13
SP - 1845
EP - 1854
DO - 10.1049/iet-its.2020.0439
SN - 1751-956X
PB - Institution of Engineering and Technology
ER -
Impact Factor 0.0+
FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment H5-Index: 115#
Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025
Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang and Hubert P. H. Shum
Topics: Motion Analysis, Video Analysis
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Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025
Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang and Hubert P. H. Shum
Topics: Motion Analysis, Video Analysis
Webpage Cite This Plain Text
Ruisheng Han, Kanglei Zhou, Amir Atapour-Abarghouei, Xiaohui Liang and Hubert P. H. Shum, "FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment," in CVPRW '25: Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, Nashville, USA, IEEE/CVF, 2025.
Bibtex @inproceedings{han25finecasual,
author={Han, Ruisheng and Zhou, Kanglei and Atapour-Abarghouei, Amir and Liang, Xiaohui and Shum, Hubert P. H.},
booktitle={Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
series={CVPRW '25},
title={FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment},
year={2025},
publisher={IEEE/CVF},
location={Nashville, USA},
}
RIS author={Han, Ruisheng and Zhou, Kanglei and Atapour-Abarghouei, Amir and Liang, Xiaohui and Shum, Hubert P. H.},
booktitle={Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
series={CVPRW '25},
title={FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment},
year={2025},
publisher={IEEE/CVF},
location={Nashville, USA},
}
TY - CONF
AU - Han, Ruisheng
AU - Zhou, Kanglei
AU - Atapour-Abarghouei, Amir
AU - Liang, Xiaohui
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
TI - FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment
PY - 2025
PB - IEEE/CVF
ER -
Paper GitHubAU - Han, Ruisheng
AU - Zhou, Kanglei
AU - Atapour-Abarghouei, Amir
AU - Liang, Xiaohui
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
TI - FineCausal: A Causal-Based Framework for Interpretable Fine-Grained Action Quality Assessment
PY - 2025
PB - IEEE/CVF
ER -
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment Oral Paper (Top 2.3% of 8585 Submissions) H5-Index: 206# Core A* Conference‡
Proceedings of the 2024 European Conference on Computer Vision (ECCV), 2024
Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li and Xiaohui Liang
Topics: Motion Analysis, Video Analysis
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Proceedings of the 2024 European Conference on Computer Vision (ECCV), 2024
Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li and Xiaohui Liang
Topics: Motion Analysis, Video Analysis
Webpage Cite This Plain Text
Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li and Xiaohui Liang, "MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment," in ECCV '24: Proceedings of the 2024 European Conference on Computer Vision, vol. 15069, pp. 375-392, Milan, Italy, Springer, 2024.
Bibtex @inproceedings{zhou24magr,
author={Zhou, Kanglei and Wang, Liyuan and Zhang, Xingxing and Shum, Hubert P. H. and Li, Frederick W. B. and Li, Jianguo and Liang, Xiaohui},
booktitle={Proceedings of the 2024 European Conference on Computer Vision},
series={ECCV '24},
title={MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment},
year={2024},
volume={15069},
pages={375--392},
numpages={18},
doi={10.1007/978-3-031-73247-8_22},
publisher={Springer},
location={Milan, Italy},
}
RIS author={Zhou, Kanglei and Wang, Liyuan and Zhang, Xingxing and Shum, Hubert P. H. and Li, Frederick W. B. and Li, Jianguo and Liang, Xiaohui},
booktitle={Proceedings of the 2024 European Conference on Computer Vision},
series={ECCV '24},
title={MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment},
year={2024},
volume={15069},
pages={375--392},
numpages={18},
doi={10.1007/978-3-031-73247-8_22},
publisher={Springer},
location={Milan, Italy},
}
TY - CONF
AU - Zhou, Kanglei
AU - Wang, Liyuan
AU - Zhang, Xingxing
AU - Shum, Hubert P. H.
AU - Li, Frederick W. B.
AU - Li, Jianguo
AU - Liang, Xiaohui
T2 - Proceedings of the 2024 European Conference on Computer Vision
TI - MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
PY - 2024
VL - 15069
SP - 375
EP - 392
DO - 10.1007/978-3-031-73247-8_22
PB - Springer
ER -
Paper Supplementary Material YouTubeAU - Zhou, Kanglei
AU - Wang, Liyuan
AU - Zhang, Xingxing
AU - Shum, Hubert P. H.
AU - Li, Frederick W. B.
AU - Li, Jianguo
AU - Liang, Xiaohui
T2 - Proceedings of the 2024 European Conference on Computer Vision
TI - MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
PY - 2024
VL - 15069
SP - 375
EP - 392
DO - 10.1007/978-3-031-73247-8_22
PB - Springer
ER -
Depth-Aware Endoscopic Video Inpainting H5-Index: 96# Core A Conference‡
Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
Francis Xiatian Zhang, Shuang Chen, Xianghua Xie and Hubert P. H. Shum
Topics: Biomedical Engineering, Video Analysis, Medical Imaging
Webpage Cite This Plain Text
Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
Francis Xiatian Zhang, Shuang Chen, Xianghua Xie and Hubert P. H. Shum
Topics: Biomedical Engineering, Video Analysis, Medical Imaging
Webpage Cite This Plain Text
Francis Xiatian Zhang, Shuang Chen, Xianghua Xie and Hubert P. H. Shum, "Depth-Aware Endoscopic Video Inpainting," in MICCAI '24: Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 143-153, Marrakesh, Morocco, Springer, 2024.
Bibtex @inproceedings{zhang24endoscopic,
author={Zhang, Francis Xiatian and Chen, Shuang and Xie, Xianghua and Shum, Hubert P. H.},
booktitle={Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention},
series={MICCAI '24},
title={Depth-Aware Endoscopic Video Inpainting},
year={2024},
pages={143--153},
doi={10.1007/978-3-031-72089-5_14},
isbn={978-3-031-72089-5},
publisher={Springer},
location={Marrakesh, Morocco},
}
RIS author={Zhang, Francis Xiatian and Chen, Shuang and Xie, Xianghua and Shum, Hubert P. H.},
booktitle={Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention},
series={MICCAI '24},
title={Depth-Aware Endoscopic Video Inpainting},
year={2024},
pages={143--153},
doi={10.1007/978-3-031-72089-5_14},
isbn={978-3-031-72089-5},
publisher={Springer},
location={Marrakesh, Morocco},
}
TY - CONF
AU - Zhang, Francis Xiatian
AU - Chen, Shuang
AU - Xie, Xianghua
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention
TI - Depth-Aware Endoscopic Video Inpainting
PY - 2024
SP - 143
EP - 153
DO - 10.1007/978-3-031-72089-5_14
SN - 978-3-031-72089-5
PB - Springer
ER -
Paper Supplementary Material GitHubAU - Zhang, Francis Xiatian
AU - Chen, Shuang
AU - Xie, Xianghua
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2024 International Conference on Medical Image Computing and Computer Assisted Intervention
TI - Depth-Aware Endoscopic Video Inpainting
PY - 2024
SP - 143
EP - 153
DO - 10.1007/978-3-031-72089-5_14
SN - 978-3-031-72089-5
PB - Springer
ER -
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
Topics: Interaction Modelling, Action Recognition, Video Analysis
Webpage Cite This Plain Text
Proceedings of the 2024 International Conference on Pattern Recognition (ICPR), 2024
Tanqiu Qiao, Ruochen Li, Frederick W. B. Li and Hubert P. H. Shum
Topics: Interaction Modelling, Action Recognition, Video Analysis
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 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},
}
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 MaterialAU - 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 -
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark
arXiv Preprint, 2024
Kanglei Zhou, Ruizhi Cai, Liyuan Wang, Hubert P. H. Shum and Xiaohui Liang
Topics: Motion Analysis, Video Analysis, Literature Review
Webpage Cite This Plain Text
arXiv Preprint, 2024
Kanglei Zhou, Ruizhi Cai, Liyuan Wang, Hubert P. H. Shum and Xiaohui Liang
Topics: Motion Analysis, Video Analysis, Literature Review
Webpage Cite This Plain Text
Kanglei Zhou, Ruizhi Cai, Liyuan Wang, Hubert P. H. Shum and Xiaohui Liang, "A Comprehensive Survey of Action Quality Assessment: Method and Benchmark," arXiv preprint arXiv:2412.11149, 2024.
Bibtex @article{zhou24comprehensive,
author={Zhou, Kanglei and Cai, Ruizhi and Wang, Liyuan and Shum, Hubert P. H. and Liang, Xiaohui},
journal={arXiv},
title={A Comprehensive Survey of Action Quality Assessment: Method and Benchmark},
year={2024},
numpages={20},
eprint={arXiv:2412.11149},
archivePrefix={arXiv},
primaryClass={cs.CV},
doi={10.48550/arXiv.2412.11149},
url={https://arxiv.org/abs/2412.11149},
}
RIS author={Zhou, Kanglei and Cai, Ruizhi and Wang, Liyuan and Shum, Hubert P. H. and Liang, Xiaohui},
journal={arXiv},
title={A Comprehensive Survey of Action Quality Assessment: Method and Benchmark},
year={2024},
numpages={20},
eprint={arXiv:2412.11149},
archivePrefix={arXiv},
primaryClass={cs.CV},
doi={10.48550/arXiv.2412.11149},
url={https://arxiv.org/abs/2412.11149},
}
TY - Preprint
AU - Zhou, Kanglei
AU - Cai, Ruizhi
AU - Wang, Liyuan
AU - Shum, Hubert P. H.
AU - Liang, Xiaohui
JO - arXiv preprints
SP - arXiv:2412.11149
KW - cs.CV
TI - A Comprehensive Survey of Action Quality Assessment: Method and Benchmark
PY - 2024
DO - 10.48550/arXiv.2412.11149
ER -
AU - Zhou, Kanglei
AU - Cai, Ruizhi
AU - Wang, Liyuan
AU - Shum, Hubert P. H.
AU - Liang, Xiaohui
JO - arXiv preprints
SP - arXiv:2412.11149
KW - cs.CV
TI - A Comprehensive Survey of Action Quality Assessment: Method and Benchmark
PY - 2024
DO - 10.48550/arXiv.2412.11149
ER -
Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation Core A* Conference‡
Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: Virtual Reality, Environment Sensing, Video Analysis
Webpage Cite This Plain Text
Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2023
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: Virtual Reality, Environment Sensing, Video Analysis
Webpage Cite This Plain Text
Qi Feng, Hubert P. H. Shum and Shigeo Morishima, "Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation," in ISMAR '23: Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality, pp. 405-414, Sydney, Australia, IEEE, Oct 2023.
Bibtex @inproceedings{feng23enhancing,
author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
booktitle={Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality},
series={ISMAR '23},
title={Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation},
year={2023},
month={10},
pages={405-414},
numpages={10},
doi={10.1109/ISMAR59233.2023.00055},
publisher={IEEE},
location={Sydney, Australia},
}
RIS author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
booktitle={Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality},
series={ISMAR '23},
title={Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation},
year={2023},
month={10},
pages={405-414},
numpages={10},
doi={10.1109/ISMAR59233.2023.00055},
publisher={IEEE},
location={Sydney, Australia},
}
TY - CONF
AU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality
TI - Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation
PY - 2023
Y1 - 10 2023
SP - 405-414
EP - 405-414
DO - 10.1109/ISMAR59233.2023.00055
PB - IEEE
ER -
Paper YouTubeAU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Proceedings of the 2023 IEEE International Symposium on Mixed and Augmented Reality
TI - Enhancing Perception and Immersion in Pre-Captured Environments through Learning-Based Eye Height Adaptation
PY - 2023
Y1 - 10 2023
SP - 405-414
EP - 405-414
DO - 10.1109/ISMAR59233.2023.00055
PB - IEEE
ER -
Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery H5-Index: 115#
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon
Topics: Crowd Modelling, Surveillance, Video Analysis, Environment Sensing
Webpage Cite This Plain Text
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon
Topics: Crowd Modelling, Surveillance, Video Analysis, Environment Sensing
Webpage Cite This Plain Text
Yona Falinie A. Gaus, Neelanjan Bhowmik, Brian K. S. Isaac-Medina, Hubert P. H. Shum, Amir Atapour-Abarghouei and Toby P. Breckon, "Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery," in CVPRW '23: Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 2995-3005, Vancouver, Canada, IEEE/CVF, Jun 2023.
Bibtex @inproceedings{gaus23region,
author={Gaus, Yona Falinie A. and Bhowmik, Neelanjan and Isaac-Medina, Brian K. S. and Shum, Hubert P. H. and Atapour-Abarghouei, Amir and Breckon, Toby P.},
booktitle={Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
series={CVPRW '23},
title={Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery},
year={2023},
month={6},
pages={2995--3005},
numpages={11},
doi={10.1109/CVPRW59228.2023.00301},
publisher={IEEE/CVF},
location={Vancouver, Canada},
}
RIS author={Gaus, Yona Falinie A. and Bhowmik, Neelanjan and Isaac-Medina, Brian K. S. and Shum, Hubert P. H. and Atapour-Abarghouei, Amir and Breckon, Toby P.},
booktitle={Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
series={CVPRW '23},
title={Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery},
year={2023},
month={6},
pages={2995--3005},
numpages={11},
doi={10.1109/CVPRW59228.2023.00301},
publisher={IEEE/CVF},
location={Vancouver, Canada},
}
TY - CONF
AU - Gaus, Yona Falinie A.
AU - Bhowmik, Neelanjan
AU - Isaac-Medina, Brian K. S.
AU - Shum, Hubert P. H.
AU - Atapour-Abarghouei, Amir
AU - Breckon, Toby P.
T2 - Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
TI - Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
PY - 2023
Y1 - 6 2023
SP - 2995
EP - 3005
DO - 10.1109/CVPRW59228.2023.00301
PB - IEEE/CVF
ER -
PaperAU - Gaus, Yona Falinie A.
AU - Bhowmik, Neelanjan
AU - Isaac-Medina, Brian K. S.
AU - Shum, Hubert P. H.
AU - Atapour-Abarghouei, Amir
AU - Breckon, Toby P.
T2 - Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops
TI - Region-Based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery
PY - 2023
Y1 - 6 2023
SP - 2995
EP - 3005
DO - 10.1109/CVPRW59228.2023.00301
PB - IEEE/CVF
ER -
Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos H5-Index: 206# Core A* Conference‡ Citation: 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
Topics: Interaction Modelling, Action Recognition, Video Analysis, Datasets
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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
Topics: Interaction Modelling, Action Recognition, Video Analysis, Datasets
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 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},
}
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 GitHubAU - 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 -
Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video H5-Index: 96# Core A Conference‡ Citation: 18#
Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Healthcare Diagnosis, Responsible AI
Webpage Cite This Plain Text
Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum
Topics: Biomedical Engineering, Motion Analysis, Video Analysis, Healthcare Diagnosis, Responsible AI
Webpage Cite This Plain Text
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum, "Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video," in MICCAI '22: Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention, pp. 489-499, Singapore, Singapore, Springer, Sep 2022.
Bibtex @inproceedings{zhang22posebased,
author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Shum, Hubert P. H.},
booktitle={Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention},
series={MICCAI '22},
title={Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video},
year={2022},
month={9},
pages={489--499},
numpages={11},
doi={10.1007/978-3-031-16440-8_47},
isbn={978-3-031-16439-2},
publisher={Springer},
location={Singapore, Singapore},
}
RIS author={Zhang, Haozheng and Ho, Edmond S. L. and Zhang, Francis Xiatian and Shum, Hubert P. H.},
booktitle={Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention},
series={MICCAI '22},
title={Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video},
year={2022},
month={9},
pages={489--499},
numpages={11},
doi={10.1007/978-3-031-16440-8_47},
isbn={978-3-031-16439-2},
publisher={Springer},
location={Singapore, Singapore},
}
TY - CONF
AU - Zhang, Haozheng
AU - Ho, Edmond S. L.
AU - Zhang, Francis Xiatian
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention
TI - Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
PY - 2022
Y1 - 9 2022
SP - 489
EP - 499
DO - 10.1007/978-3-031-16440-8_47
SN - 978-3-031-16439-2
PB - Springer
ER -
Paper Supplementary MaterialAU - Zhang, Haozheng
AU - Ho, Edmond S. L.
AU - Zhang, Francis Xiatian
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention
TI - Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
PY - 2022
Y1 - 9 2022
SP - 489
EP - 499
DO - 10.1007/978-3-031-16440-8_47
SN - 978-3-031-16439-2
PB - Springer
ER -
360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network Core A* Conference‡ Citation: 25#
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2022
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: 3D Reconstruction, Environment Sensing, Video Analysis, Datasets
Webpage Cite This Plain Text
Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2022
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: 3D Reconstruction, Environment Sensing, Video Analysis, Datasets
Webpage Cite This Plain Text
Qi Feng, Hubert P. H. Shum and Shigeo Morishima, "360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network," in VR '22: Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces, pp. 664-673, IEEE, Mar 2022.
Bibtex @inproceedings{feng22depth,
author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
booktitle={Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces},
series={VR '22},
title={360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network},
year={2022},
month={3},
pages={664--673},
numpages={10},
doi={10.1109/VR51125.2022.00087},
publisher={IEEE},
}
RIS author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
booktitle={Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces},
series={VR '22},
title={360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network},
year={2022},
month={3},
pages={664--673},
numpages={10},
doi={10.1109/VR51125.2022.00087},
publisher={IEEE},
}
TY - CONF
AU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces
TI - 360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network
PY - 2022
Y1 - 3 2022
SP - 664
EP - 673
DO - 10.1109/VR51125.2022.00087
PB - IEEE
ER -
Paper YouTube Part 1 YouTube Part 2AU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Proceedings of the 2022 IEEE Conference on Virtual Reality and 3D User Interfaces
TI - 360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network
PY - 2022
Y1 - 3 2022
SP - 664
EP - 673
DO - 10.1109/VR51125.2022.00087
PB - IEEE
ER -
Towards Graph Representation Learning Based Surgical Workflow Anticipation Oral Paper
Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022
Francis Xiatian Zhang, Noura Al Moubayed and Hubert P. H. Shum
Topics: Biomedical Engineering, Interaction Modelling, Video Analysis, Motion Analysis
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Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2022
Francis Xiatian Zhang, Noura Al Moubayed and Hubert P. H. Shum
Topics: Biomedical Engineering, Interaction Modelling, Video Analysis, Motion Analysis
Webpage Cite This Plain Text
Francis Xiatian Zhang, Noura Al Moubayed and Hubert P. H. Shum, "Towards Graph Representation Learning Based Surgical Workflow Anticipation," in BHI '22: Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics, pp. 1-4, Ioannina, Greece, IEEE, Sep 2022.
Bibtex @inproceedings{zhang22towards,
author={Zhang, Francis Xiatian and Moubayed, Noura Al and Shum, Hubert P. H.},
booktitle={Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics},
series={BHI '22},
title={Towards Graph Representation Learning Based Surgical Workflow Anticipation},
year={2022},
month={9},
pages={1--4},
numpages={4},
doi={10.1109/BHI56158.2022.9926801},
publisher={IEEE},
location={Ioannina, Greece},
}
RIS author={Zhang, Francis Xiatian and Moubayed, Noura Al and Shum, Hubert P. H.},
booktitle={Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics},
series={BHI '22},
title={Towards Graph Representation Learning Based Surgical Workflow Anticipation},
year={2022},
month={9},
pages={1--4},
numpages={4},
doi={10.1109/BHI56158.2022.9926801},
publisher={IEEE},
location={Ioannina, Greece},
}
TY - CONF
AU - Zhang, Francis Xiatian
AU - Moubayed, Noura Al
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics
TI - Towards Graph Representation Learning Based Surgical Workflow Anticipation
PY - 2022
Y1 - 9 2022
SP - 1
EP - 4
DO - 10.1109/BHI56158.2022.9926801
PB - IEEE
ER -
Paper GitHub YouTubeAU - Zhang, Francis Xiatian
AU - Moubayed, Noura Al
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics
TI - Towards Graph Representation Learning Based Surgical Workflow Anticipation
PY - 2022
Y1 - 9 2022
SP - 1
EP - 4
DO - 10.1109/BHI56158.2022.9926801
PB - IEEE
ER -
Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark H5-Index: 80# Citation: 94#
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
Topics: Surveillance, Video Analysis, Datasets, Air and Space
Webpage Cite This Plain Text
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum
Topics: Surveillance, Video Analysis, Datasets, Air and Space
Webpage Cite This Plain Text
Brian K. S. Isaac-Medina, Matthew Poyser, Daniel Organisciak, Chris G. Willcocks, Toby P. Breckon and Hubert P. H. Shum, "Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark," in ICCVW '21: Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops, pp. 1223-1232, IEEE/CVF, Oct 2021.
Bibtex @inproceedings{issacmedina21unmanned,
author={Isaac-Medina, Brian K. S. and Poyser, Matthew and Organisciak, Daniel and Willcocks, Chris G. and Breckon, Toby P. and Shum, Hubert P. H.},
booktitle={Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops},
series={ICCVW '21},
title={Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark},
year={2021},
month={10},
pages={1223--1232},
numpages={10},
doi={10.1109/ICCVW54120.2021.00142},
publisher={IEEE/CVF},
}
RIS author={Isaac-Medina, Brian K. S. and Poyser, Matthew and Organisciak, Daniel and Willcocks, Chris G. and Breckon, Toby P. and Shum, Hubert P. H.},
booktitle={Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops},
series={ICCVW '21},
title={Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark},
year={2021},
month={10},
pages={1223--1232},
numpages={10},
doi={10.1109/ICCVW54120.2021.00142},
publisher={IEEE/CVF},
}
TY - CONF
AU - Isaac-Medina, Brian K. S.
AU - Poyser, Matthew
AU - Organisciak, Daniel
AU - Willcocks, Chris G.
AU - Breckon, Toby P.
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops
TI - Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
PY - 2021
Y1 - 10 2021
SP - 1223
EP - 1232
DO - 10.1109/ICCVW54120.2021.00142
PB - IEEE/CVF
ER -
Paper GitHubAU - Isaac-Medina, Brian K. S.
AU - Poyser, Matthew
AU - Organisciak, Daniel
AU - Willcocks, Chris G.
AU - Breckon, Toby P.
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision Workshops
TI - Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark
PY - 2021
Y1 - 10 2021
SP - 1223
EP - 1232
DO - 10.1109/ICCVW54120.2021.00142
PB - IEEE/CVF
ER -
Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction
Proceedings of the 2021 Visual Computing (VC), 2021
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: 3D Reconstruction, Environment Sensing, Video Analysis
Webpage Cite This Plain Text
Proceedings of the 2021 Visual Computing (VC), 2021
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: 3D Reconstruction, Environment Sensing, Video Analysis
Webpage Cite This Plain Text
Qi Feng, Hubert P. H. Shum and Shigeo Morishima, "Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction," in VC '21: Proceedings of the 2021 Visual Computing, Sep 2021.
Bibtex @inproceedings{feng21biprojection,
author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
booktitle={Proceedings of the 2021 Visual Computing},
series={VC '21},
title={Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction},
year={2021},
month={9},
numpages={6},
}
RIS author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
booktitle={Proceedings of the 2021 Visual Computing},
series={VC '21},
title={Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction},
year={2021},
month={9},
numpages={6},
}
TY - CONF
AU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Proceedings of the 2021 Visual Computing
TI - Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction
PY - 2021
Y1 - 9 2021
ER -
PaperAU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Proceedings of the 2021 Visual Computing
TI - Bi-Projection Based Foreground-Aware Omnidirectional Depth Prediction
PY - 2021
Y1 - 9 2021
ER -
Foreground-Aware Dense Depth Estimation for 360 Images
Journal of WSCG - Proceedings of the 2020 International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2020
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: 3D Reconstruction, Environment Sensing, Video Analysis
Webpage Cite This Plain Text
Journal of WSCG - Proceedings of the 2020 International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), 2020
Qi Feng, Hubert P. H. Shum and Shigeo Morishima
Topics: 3D Reconstruction, Environment Sensing, Video Analysis
Webpage Cite This Plain Text
Qi Feng, Hubert P. H. Shum and Shigeo Morishima, "Foreground-Aware Dense Depth Estimation for 360 Images," Journal of WSCG, vol. 28, no. 1--2, pp. 79-88, Plzen, Czech Republic, May 2020.
Bibtex @article{feng20foreground,
author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
journal={Journal of WSCG},
title={Foreground-Aware Dense Depth Estimation for 360 Images},
year={2020},
month={5},
volume={28},
number={1--2},
pages={79--88},
numpages={10},
doi={10.24132/JWSCG.2020.28.10},
issn={1213-6972},
location={Plzen, Czech Republic},
}
RIS author={Feng, Qi and Shum, Hubert P. H. and Morishima, Shigeo},
journal={Journal of WSCG},
title={Foreground-Aware Dense Depth Estimation for 360 Images},
year={2020},
month={5},
volume={28},
number={1--2},
pages={79--88},
numpages={10},
doi={10.24132/JWSCG.2020.28.10},
issn={1213-6972},
location={Plzen, Czech Republic},
}
TY - JOUR
AU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Journal of WSCG
TI - Foreground-Aware Dense Depth Estimation for 360 Images
PY - 2020
Y1 - 5 2020
VL - 28
IS - 1--2
SP - 79
EP - 88
DO - 10.24132/JWSCG.2020.28.10
SN - 1213-6972
ER -
Paper Supplementary Material YouTubeAU - Feng, Qi
AU - Shum, Hubert P. H.
AU - Morishima, Shigeo
T2 - Journal of WSCG
TI - Foreground-Aware Dense Depth Estimation for 360 Images
PY - 2020
Y1 - 5 2020
VL - 28
IS - 1--2
SP - 79
EP - 88
DO - 10.24132/JWSCG.2020.28.10
SN - 1213-6972
ER -
Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video
Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017
Shoujiang Xu, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
Topics: Crowd Modelling, Surveillance, Video Analysis
Webpage Cite This Plain Text
Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017
Shoujiang Xu, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum
Topics: Crowd Modelling, Surveillance, Video Analysis
Webpage Cite This Plain Text
Shoujiang Xu, Edmond S. L. Ho, Nauman Aslam and Hubert P. H. Shum, "Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video," 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{xu17unsupervised,
author={Xu, Shoujiang and Ho, Edmond S. L. 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={Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video},
year={2017},
month={12},
pages={1--6},
numpages={6},
doi={10.1109/SKIMA.2017.8294092},
issn={2573-3214},
publisher={IEEE},
location={Colombo, Sri Lanka},
}
RIS author={Xu, Shoujiang and Ho, Edmond S. L. 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={Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video},
year={2017},
month={12},
pages={1--6},
numpages={6},
doi={10.1109/SKIMA.2017.8294092},
issn={2573-3214},
publisher={IEEE},
location={Colombo, Sri Lanka},
}
TY - CONF
AU - Xu, Shoujiang
AU - Ho, Edmond S. L.
AU - Aslam, Nauman
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications
TI - Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video
PY - 2017
Y1 - 12 2017
SP - 1
EP - 6
DO - 10.1109/SKIMA.2017.8294092
SN - 2573-3214
PB - IEEE
ER -
PaperAU - Xu, Shoujiang
AU - Ho, Edmond S. L.
AU - Aslam, Nauman
AU - Shum, Hubert P. H.
T2 - Proceedings of the 2017 International Conference on Software, Knowledge, Information Management and Applications
TI - Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video
PY - 2017
Y1 - 12 2017
SP - 1
EP - 6
DO - 10.1109/SKIMA.2017.8294092
SN - 2573-3214
PB - IEEE
ER -
Tracking the Translational and Rotational Movement of the Ball Using High-Speed Camera Movies H5-Index: 66# Citation: 58#
Proceedings of the 2005 IEEE International Conference on Image Processing (ICIP), 2005
Hubert P. H. Shum and Taku Komura
Topics: Video Analysis
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Proceedings of the 2005 IEEE International Conference on Image Processing (ICIP), 2005
Hubert P. H. Shum and Taku Komura
Topics: Video Analysis
Webpage Cite This Plain Text
Hubert P. H. Shum and Taku Komura, "Tracking the Translational and Rotational Movement of the Ball Using High-Speed Camera Movies," in ICIP '05: Proceedings of the 2005 IEEE International Conference on Image Processing, vol. 3, pp. 1084-1087, Genova, Italy, IEEE, Sep 2005.
Bibtex @inproceedings{shum05tracking,
author={Shum, Hubert P. H. and Komura, Taku},
booktitle={Proceedings of the 2005 IEEE International Conference on Image Processing},
series={ICIP '05},
title={Tracking the Translational and Rotational Movement of the Ball Using High-Speed Camera Movies},
year={2005},
month={9},
volume={3},
pages={1084--1087},
numpages={4},
doi={10.1109/ICIP.2005.1530584},
isbn={0-7803-9134-9},
publisher={IEEE},
location={Genova, Italy},
}
RIS author={Shum, Hubert P. H. and Komura, Taku},
booktitle={Proceedings of the 2005 IEEE International Conference on Image Processing},
series={ICIP '05},
title={Tracking the Translational and Rotational Movement of the Ball Using High-Speed Camera Movies},
year={2005},
month={9},
volume={3},
pages={1084--1087},
numpages={4},
doi={10.1109/ICIP.2005.1530584},
isbn={0-7803-9134-9},
publisher={IEEE},
location={Genova, Italy},
}
TY - CONF
AU - Shum, Hubert P. H.
AU - Komura, Taku
T2 - Proceedings of the 2005 IEEE International Conference on Image Processing
TI - Tracking the Translational and Rotational Movement of the Ball Using High-Speed Camera Movies
PY - 2005
Y1 - 9 2005
VL - 3
SP - 1084
EP - 1087
DO - 10.1109/ICIP.2005.1530584
SN - 0-7803-9134-9
PB - IEEE
ER -
PaperAU - Shum, Hubert P. H.
AU - Komura, Taku
T2 - Proceedings of the 2005 IEEE International Conference on Image Processing
TI - Tracking the Translational and Rotational Movement of the Ball Using High-Speed Camera Movies
PY - 2005
Y1 - 9 2005
VL - 3
SP - 1084
EP - 1087
DO - 10.1109/ICIP.2005.1530584
SN - 0-7803-9134-9
PB - IEEE
ER -
A Spatiotemporal Approach to Extract the 3D Trajectory of the Baseball from a Single View Video Sequence Core A Conference‡ Citation: 37#
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo (ICME), 2004
Hubert P. H. Shum and Taku Komura
Topics: Video Analysis
Webpage Cite This Plain Text
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo (ICME), 2004
Hubert P. H. Shum and Taku Komura
Topics: Video Analysis
Webpage Cite This Plain Text
Hubert P. H. Shum and Taku Komura, "A Spatiotemporal Approach to Extract the 3D Trajectory of the Baseball from a Single View Video Sequence," in ICME '04: Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, vol. 3, pp. 1583-1586, Taipei, Taiwan, IEEE, Jun 2004.
Bibtex @inproceedings{shum04spatiotemporal,
author={Shum, Hubert P. H. and Komura, Taku},
booktitle={Proceedings of the 2004 IEEE International Conference on Multimedia and Expo},
series={ICME '04},
title={A Spatiotemporal Approach to Extract the 3D Trajectory of the Baseball from a Single View Video Sequence},
year={2004},
month={6},
volume={3},
pages={1583--1586},
numpages={4},
doi={10.1109/ICME.2004.1394551},
publisher={IEEE},
location={Taipei, Taiwan},
}
RIS author={Shum, Hubert P. H. and Komura, Taku},
booktitle={Proceedings of the 2004 IEEE International Conference on Multimedia and Expo},
series={ICME '04},
title={A Spatiotemporal Approach to Extract the 3D Trajectory of the Baseball from a Single View Video Sequence},
year={2004},
month={6},
volume={3},
pages={1583--1586},
numpages={4},
doi={10.1109/ICME.2004.1394551},
publisher={IEEE},
location={Taipei, Taiwan},
}
TY - CONF
AU - Shum, Hubert P. H.
AU - Komura, Taku
T2 - Proceedings of the 2004 IEEE International Conference on Multimedia and Expo
TI - A Spatiotemporal Approach to Extract the 3D Trajectory of the Baseball from a Single View Video Sequence
PY - 2004
Y1 - 6 2004
VL - 3
SP - 1583
EP - 1586
DO - 10.1109/ICME.2004.1394551
PB - IEEE
ER -
Paper SoftwareAU - Shum, Hubert P. H.
AU - Komura, Taku
T2 - Proceedings of the 2004 IEEE International Conference on Multimedia and Expo
TI - A Spatiotemporal Approach to Extract the 3D Trajectory of the Baseball from a Single View Video Sequence
PY - 2004
Y1 - 6 2004
VL - 3
SP - 1583
EP - 1586
DO - 10.1109/ICME.2004.1394551
PB - IEEE
ER -