9 citations · 9 across the 4 of their papers we have counts for
4 papers
SWIM: Compact Environment Representation for Reinforcement Learning Human Swimming
Binglun Wang, Edmond S. L. Ho, Doğa Yılmaz +2
Deep reinforcement learning (RL) has driven rapid progress in physically-based motion generation, yet synthesizing robust motion policies in dense fluid environments (e.g. swimming…
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient
Zhengzhi Lu, He Wang, Ziyi Chang +2
Recently, methods for skeleton-based human activity recognition have been shown to be vulnerable to adversarial attacks. However, these attack methods require either the full knowl…
Formation Control for UAVs Using a Flux Guided Approach
John Hartley, Hubert P. H. Shum, Edmond S. L. Ho +2
Existing studies on formation control for unmanned aerial vehicles (UAV) have not considered encircling targets where an optimum coverage of the target is required at all times. Su…
Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
He Wang, Edmond S. L. Ho, Hubert P. H. Shum +1
Data-driven modeling of human motions is ubiquitous in computer graphics and computer vision applications, such as synthesizing realistic motions or recognizing actions. Recent res…