most citedTurbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.AI2019

Learning Action Models from Disordered and Noisy Plan Traces

Hankz Hankui Zhuo, Jing Peng, Subbarao Kambhampati

There is increasing awareness in the planning community that the burden of specifying complete domain models is too high, which impedes the applicability of planning technology in…

cs.CV2019★ 3 cited

Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation

Wei Feng, Wentao Liu, Tong Li +3

Human-object interactions (HOI) recognition and pose estimation are two closely related tasks. Human pose is an essential cue for recognizing actions and localizing the interacted…