He WANG (王鹤)
He WANG (王鹤)
Associate Professor, Department of Computer Science, University College London, UK
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Citado por
Citado por
Data analytics in steady-state visual evoked potential-based brain–computer interface: A review
Y Zhang, SQ Xie, H Wang, Z Zhang
IEEE Sensors Journal 21 (2), 1124-1138, 2020
Spatio-temporal manifold learning for human motions via long-horizon modeling
H Wang, ESL Ho, HPH Shum, Z Zhu
IEEE transactions on visualization and computer graphics 27 (1), 216-227, 2019
Human trajectory prediction via neural social physics
J Yue, D Manocha, H Wang
Proceedings of the European Conference on Computer Vision, 376-394, 2022
MeshingNet: A new mesh generation method based on deep learning
Z Zhang, Y Wang, PK Jimack, H Wang
International conference on computational science, 186-198, 2020
Indexing 3D scenes using the interaction bisector surface
X Zhao, H Wang, T Komura
ACM Transactions on Graphics (TOG) 33 (3), 1-14, 2014
Harmonic parameterization by electrostatics
H Wang, KA Sidorov, P Sandilands, T Komura
ACM Transactions on Graphics (TOG) 32 (5), 1-12, 2013
Trending Paths: A New Semantic-level Metric for Comparing Simulated and Real Crowd Data
H Wang, J Ondřej, C O'Sullivan
IEEE Transactions on Visualization and Computer Graphics 23 (5), 1454 - 1464, 2017
Understanding the robustness of skeleton-based action recognition under adversarial attack
H Wang, F He, Z Peng, T Shao, YL Yang, K Zhou, D Hogg
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Path patterns: Analyzing and comparing real and simulated crowds
H Wang, J Ondřej, C O'Sullivan
Proceedings of the 20th acm siggraph symposium on interactive 3d graphics …, 2016
High-order differentiable autoencoder for nonlinear model reduction
S Shen, Y Yin, T Shao, H Wang, C Jiang, L Lan, K Zhou
ACM Transaction on Graphics 40 (4), 1-15, 2021
BASAR: black-box attack on skeletal action recognition
Y Diao, T Shao, YL Yang, K Zhou, H Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Real-time Controllable Motion Transition for Characters
X Tang, H Wang, B Hu, X Gong, R Yi, Q Kou, X Jin
ACM Transactions on Graphics (Siggraph 2022) 41 (4), 1–10, 2022
Globally Continuous and Non-Markovian Crowd Activity Analysis from Videos
H Wang, C O'Sullivan
European Conference on Computer Vision (ECCV) 2016 9909, 527-544, 2016
A Novel Deep Learning based Automatic Auscultatory Method to Measure Blood Pressure
F Pan, P He, F Chen, J Zhang, H Wang, D Zheng
International Journal of Medical Informatics 128, 71-78, 2019
MeshingNet3D: Efficient generation of adapted tetrahedral meshes for computational mechanics
Z Zhang, PK Jimack, H Wang
Advances in Engineering Software 157, 103021, 2021
Human-like Planning for Reaching in Cluttered Environments
M Hasan, M Warburton, WC Agboh, MR Dogar, M Leonetti, H Wang, ...
IEEE International Conference on Robotics and Automation, 2020
An energy-driven motion planning method for two distant postures
H Wang, ESL Ho, T Komura
IEEE transactions on visualization and computer graphics 21 (1), 18-30, 2014
Informative Scene Decomposition for Crowd Analysis, Comparison and Simulation Guidance
F He, Y Xiang, X Zhao, H Wang
ACM Transactions on Graphics (Siggraph 2020) 4 (39), 2020
Dynamic future net: Diversified human motion generation
W Chen, H Wang, Y Yuan, T Shao, K Zhou
Proceedings of the 28th ACM International Conference on Multimedia, 2131-2139, 2020
Posture-based and action-based graphs for boxing skill visualization
Y Shen, H Wang, ESL Ho, L Yang, HPH Shum
Computers & Graphics 69, 104-115, 2017
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