2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.GR2020★ 1 cited
Structure-Aware Human-Action Generation
Ping Yu, Yang Zhao, Chunyuan Li +2
Generating long-range skeleton-based human actions has been a challenging problem since small deviations of one frame can cause a malformed action sequence. Most existing methods b…
cs.CV2019★ 2 cited
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions
Zhenyi Wang, Ping Yu, Yang Zhao +4
Human-motion generation is a long-standing challenging task due to the requirement of accurately modeling complex and diverse dynamic patterns. Most existing methods adopt sequence…
cs.LG2019
Generating Adversarial Examples With Conditional Generative Adversarial Net
Ping Yu, Kaitao Song, Jianfeng Lu
Recently, deep neural networks have significant progress and successful application in various fields, but they are found vulnerable to attack instances, e.g., adversarial examples…