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Rpan: An end-to-end recurrent pose-attention network for action recognition in videos
W Du, Y Wang, Y Qiao
Proceedings of the IEEE international conference on computer vision, 3725-3734, 2017
2122017
Recurrent spatial-temporal attention network for action recognition in videos
W Du, Y Wang, Y Qiao
IEEE Transactions on Image Processing 27 (3), 1347-1360, 2017
1992017
Gait phase recognition for lower-limb exoskeleton with only joint angular sensors
DX Liu, X Wu, W Du, C Wang, T Xu
Sensors 16 (10), 1579, 2016
852016
Object-scene convolutional neural networks for event recognition in images
L Wang, Z Wang, W Du, Y Qiao
Proceedings of the IEEE conference on computer vision and pattern …, 2015
792015
Deep spatial-temporal model for rehabilitation gait: Optimal trajectory generation for knee joint of lower-limb exoskeleton
DX Liu, X Wu, W Du, C Wang, C Chen, T Xu
Assembly Automation 37 (3), 369-378, 2017
422017
Deep rehabilitation gait learning for modeling knee joints of lower-limb exoskeleton
DX Liu, W Du, X Wu, C Wang, Y Qiao
2016 IEEE international conference on robotics and biomimetics (ROBIO), 1058 …, 2016
352016
Product image recognition with guidance learning and noisy supervision
Q Li, X Peng, L Cao, W Du, H Xing, Y Qiao, Q Peng
Computer Vision and Image Understanding 196, 102963, 2020
202020
Exploring fisher vector and deep networks for action spotting
Z Wang, L Wang, W Du, Y Qiao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
192015
Action recognition and pose estimation method and apparatus
Y Qiao, W Du, Y Wang, L Jiang, J Liu
US Patent 11,478,169, 2022
62022
Approximate Bayesian computation design for phase I clinical trials
H Jin, W Du, G Yin
Statistical methods in medical research 31 (12), 2310-2322, 2022
22022
Deep Reinforcement Learning for Bandit Arm Localization
W Du, H Jin, C Yu, G Yin
2022 IEEE International Conference on Big Data (Big Data), 5243-5252, 2022
2022
Text classification with pixel embedding
B Liu, G Yin, W Du
arXiv preprint arXiv:1911.04115, 2019
2019
Supporting information for “Approximate Bayesian Computation Design for Phase I Clinical Trials”
H Jin, W Du, G Yin
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Artiklar 1–13