9 citations · 9 across the 4 of their papers we have counts for
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cs.GR2026
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…
cs.GR2019★ 9 cited
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…