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Found 4 papers, 0 papers with code
MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model
In this work, we propose a novel framework of single-stage instance-aware pose estimation by modeling the joint distribution of human keypoints with a mixture density model, termed as MDPose.
Pose estimator and tracker using temporal flow maps for limbs
In this paper, we propose temporal flow maps for limbs (TML) and a multi-stride method to estimate and track human poses.
Ranked #5 on
Pose Tracking
on PoseTrack2018
Where to Play: Retrieval of Video Segments using Natural-Language Queries
Through quantitative and qualitative evaluation, we show that our method is effective for retrieval of video segments using natural language queries.
3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
While there has been a success in 2D human pose estimation with convolutional neural networks (CNNs), 3D human pose estimation has not been thoroughly studied.
Ranked #310 on
3D Human Pose Estimation
on Human3.6M
