2 citations · 4 across the 5 of their papers we have counts for
6 papers
Discovering Diverse Athletic Jumping Strategies
Zhiqi Yin, Zeshi Yang, Michiel van de Panne +1
We present a framework that enables the discovery of diverse and natural-looking motion strategies for athletic skills such as the high jump. The strategies are realized as control…
Efficient Hyperparameter Optimization for Physics-based Character Animation
Zeshi Yang, Zhiqi Yin
Physics-based character animation has seen significant advances in recent years with the adoption of Deep Reinforcement Learning (DRL). However, DRL-based learning methods are usua…
Learning and Exploring Motor Skills with Spacetime Bounds
Li-Ke Ma, Zeshi Yang, Xin Tong +2
Equipping characters with diverse motor skills is the current bottleneck of physics-based character animation. We propose a Deep Reinforcement Learning (DRL) framework that enables…
Neural fidelity warping for efficient robot morphology design
Sha Hu, Zeshi Yang, Greg Mori
We consider the problem of optimizing a robot morphology to achieve the best performance for a target task, under computational resource limitations. The evaluation process for eac…
Improving Skeleton-based Action Recognitionwith Robust Spatial and Temporal Features
Zeshi Yang, Kangkang Yin
Recently skeleton-based action recognition has made signif-icant progresses in the computer vision community. Most state-of-the-art algorithms are based on Graph Convolutional Netw…
Towards Robust Direction Invariance in Character Animation
Li-Ke Ma, Zeshi Yang, Baining Guo +1
In character animation, direction invariance is a desirable property. That is, a pose facing north and the same pose facing south are considered the same; a character that can walk…