1 code implementation • CVPR 2022 • Feixiang He, Yanlong Huang, He Wang
However, the capability of involving humans into the loop has been largely ignored in existing methods which are mostly end-to-end approaches.
1 code implementation • CVPR 2021 • He Wang, Feixiang He, Zhexi Peng, Tianjia Shao, Yong-Liang Yang, Kun Zhou, David Hogg
In this paper, we examine the robustness of state-of-the-art action recognizers against adversarial attack, which has been rarely investigated so far.
no code implementations • 29 Apr 2020 • Feixiang He, Yuanhang Xiang, Xi Zhao, He Wang
The method takes as input raw and noisy data with highly mixed multi-dimensional (space, time and dynamics) information, and automatically structure it by learning the correlations among these dimensions.
no code implementations • 16 Nov 2019 • He Wang, Feixiang He, Zhexi Peng, Yong-Liang Yang, Tianjia Shao, Kun Zhou, David Hogg
In this paper, we propose a method, SMART, to attack action recognizers which rely on 3D skeletal motions.