Nan Xia

Importance relation guided spatio-temporal adaptive modeling framework for irregular 2D human pose estimation

Human pose estimation is an important task in computer vision and has been widely applied in many fields. Existing algorithms have achieved promising performance in regular motion scenarios, but estimating poses under irregular motions caused by body flipping, folding, fast motion, and occlusion remains challenging. To...