3 papers
cs.CV2020
SDMTL: Semi-Decoupled Multi-grained Trajectory Learning for 3D human motion prediction
Xiaoli Liu, Jianqin Yin
Predicting future human motion is critical for intelligent robots to interact with humans in the real world, and human motion has the nature of multi-granularity. However, most of…
cs.CV2019
TrajectoryNet: a new spatio-temporal feature learning network for human motion prediction
Xiaoli Liu, Jianqin Yin, Jin Liu +3
Human motion prediction is an increasingly interesting topic in computer vision and robotics. In this paper, we propose a new 2D CNN based network, TrajectoryNet, to predict future…
cs.CV2019
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction
Xiaoli Liu, Jianqin Yin, Huaping Liu +1
Pose prediction is to predict future poses given a window of previous poses. In this paper, we propose a new problem that predicts poses using 3D joint coordinate sequences. Differ…