Tanqiu Qiao
PhD
, 2021 - 2024
Durham University
, UK
- Research topic: Human activity recognition from interaction features
- Examiners: Dr Michael Wray, Dr Ioannis Ivrissimtzis
Publications with the Team
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction Impact Factor: 8.3† Top 10% Journal in Engineering, Electrical & Electronic†
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis, Zhanxing Zhu and Hubert P. H. Shum
Topics: Crowd Modelling
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IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025
Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis, Zhanxing Zhu and Hubert P. H. Shum
Topics: Crowd Modelling
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Ruochen Li, Tanqiu Qiao, Stamos Katsigiannis, Zhanxing Zhu and Hubert P. H. Shum, "Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction," IEEE Transactions on Circuits and Systems for Video Technology, IEEE, 2025.
Bibtex @article{li25unified,
author={Li, Ruochen and Qiao, Tanqiu and Katsigiannis, Stamos and Zhu, Zhanxing and Shum, Hubert P. H.},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction},
year={2025},
doi={10.1109/TCSVT.2025.3539522},
publisher={IEEE},
}
RIS author={Li, Ruochen and Qiao, Tanqiu and Katsigiannis, Stamos and Zhu, Zhanxing and Shum, Hubert P. H.},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction},
year={2025},
doi={10.1109/TCSVT.2025.3539522},
publisher={IEEE},
}
TY - JOUR
AU - Li, Ruochen
AU - Qiao, Tanqiu
AU - Katsigiannis, Stamos
AU - Zhu, Zhanxing
AU - Shum, Hubert P. H.
T2 - IEEE Transactions on Circuits and Systems for Video Technology
TI - Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
PY - 2025
DO - 10.1109/TCSVT.2025.3539522
PB - IEEE
ER -
Paper GitHubAU - Li, Ruochen
AU - Qiao, Tanqiu
AU - Katsigiannis, Stamos
AU - Zhu, Zhanxing
AU - Shum, Hubert P. H.
T2 - IEEE Transactions on Circuits and Systems for Video Technology
TI - Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction
PY - 2025
DO - 10.1109/TCSVT.2025.3539522
PB - IEEE
ER -
Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos Impact Factor: 7.5† Top 25% Journal in Computer Science, Artificial Intelligence†
Expert Systems with Applications (ESWA), 2025
Tanqiu Qiao, Ruochen Li, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima and Hubert P. H. Shum
Topics: Interaction Modelling, Action Recognition, Video Analysis
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Expert Systems with Applications (ESWA), 2025
Tanqiu Qiao, Ruochen Li, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima 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, Yoshiki Kubotani, Shigeo Morishima and Hubert P. H. Shum, "Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos," Expert Systems with Applications, pp. 128344, Elsevier, 2025.
Bibtex @article{qiao25geometric,
author={Qiao, Tanqiu and Li, Ruochen and Li, Frederick W. B. and Kubotani, Yoshiki and Morishima, Shigeo and Shum, Hubert P. H.},
journal={Expert Systems with Applications},
title={Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos},
year={2025},
pages={128344},
doi={10.1016/j.eswa.2025.128344},
issn={0957-4174},
publisher={Elsevier},
}
RIS author={Qiao, Tanqiu and Li, Ruochen and Li, Frederick W. B. and Kubotani, Yoshiki and Morishima, Shigeo and Shum, Hubert P. H.},
journal={Expert Systems with Applications},
title={Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos},
year={2025},
pages={128344},
doi={10.1016/j.eswa.2025.128344},
issn={0957-4174},
publisher={Elsevier},
}
TY - JOUR
AU - Qiao, Tanqiu
AU - Li, Ruochen
AU - Li, Frederick W. B.
AU - Kubotani, Yoshiki
AU - Morishima, Shigeo
AU - Shum, Hubert P. H.
T2 - Expert Systems with Applications
TI - Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos
PY - 2025
SP - 128344
EP - 128344
DO - 10.1016/j.eswa.2025.128344
SN - 0957-4174
PB - Elsevier
ER -
PaperAU - Qiao, Tanqiu
AU - Li, Ruochen
AU - Li, Frederick W. B.
AU - Kubotani, Yoshiki
AU - Morishima, Shigeo
AU - Shum, Hubert P. H.
T2 - Expert Systems with Applications
TI - Geometric Visual Fusion Graph Neural Networks for Multi-Person Human-Object Interaction Recognition in Videos
PY - 2025
SP - 128344
EP - 128344
DO - 10.1016/j.eswa.2025.128344
SN - 0957-4174
PB - Elsevier
ER -
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training H5-Index: 65#
Proceedings of the 2024 British Machine Vision Conference (BMVC), 2024
Li Li, Tanqiu Qiao, Hubert P. H. Shum and Toby P. Breckon
Topics: Environment Sensing
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Proceedings of the 2024 British Machine Vision Conference (BMVC), 2024
Li Li, Tanqiu Qiao, Hubert P. H. Shum and Toby P. Breckon
Topics: Environment Sensing
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Li Li, Tanqiu Qiao, Hubert P. H. Shum and Toby P. Breckon, "TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training," in BMVC '24: Proceedings of the 2024 British Machine Vision Conference, Glasgow, UK, 2024.
Bibtex @inproceedings{li24traildet,
author={Li, Li and Qiao, Tanqiu and Shum, Hubert P. H. and Breckon, Toby P.},
booktitle={Proceedings of the 2024 British Machine Vision Conference},
series={BMVC '24},
title={TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training},
year={2024},
location={Glasgow, UK},
}
RIS author={Li, Li and Qiao, Tanqiu and Shum, Hubert P. H. and Breckon, Toby P.},
booktitle={Proceedings of the 2024 British Machine Vision Conference},
series={BMVC '24},
title={TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training},
year={2024},
location={Glasgow, UK},
}
TY - CONF
AU - Li, Li
AU - Qiao, Tanqiu
AU - Shum, Hubert P. H.
AU - Breckon, Toby P.
T2 - Proceedings of the 2024 British Machine Vision Conference
TI - TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training
PY - 2024
ER -
Paper Supplementary MaterialAU - Li, Li
AU - Qiao, Tanqiu
AU - Shum, Hubert P. H.
AU - Breckon, Toby P.
T2 - Proceedings of the 2024 British Machine Vision Conference
TI - TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training
PY - 2024
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
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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 -
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 -
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