57 citations · 151 across the 17 of their papers we have counts for
4 papers · 1 filter
Generating Smooth Pose Sequences for Diverse Human Motion Prediction
Wei Mao, Miaomiao Liu, Mathieu Salzmann
Recent progress in stochastic motion prediction, i.e., predicting multiple possible future human motions given a single past pose sequence, has led to producing truly diverse futur…
Multi-level Motion Attention for Human Motion Prediction
Wei Mao, Miaomiao Liu, Mathieu Salzmann +1
Human motion prediction aims to forecast future human poses given a historical motion. Whether based on recurrent or feed-forward neural networks, existing learning based methods f…
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
Weian Mao, Zhi Tian, Xinlong Wang +1
We propose a fully convolutional multi-person pose estimation framework using dynamic instance-aware convolutions, termed FCPose. Different from existing methods, which often requi…
TFPose: Direct Human Pose Estimation with Transformers
Weian Mao, Yongtao Ge, Chunhua Shen +3
We propose a human pose estimation framework that solves the task in the regression-based fashion. Unlike previous regression-based methods, which often fall behind those state-of-…