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Found 6 papers, 5 papers with code
Cross-Modal Analysis of Human Detection for Robotics: An Industrial Case Study
We compare the performance of state-of-the-art person detectors for 2D range data, 3D lidar, and RGB-D data as well as selected combinations thereof in a challenging industrial use-case.
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
Heatmap representations have formed the basis of human pose estimation systems for many years, and their extension to 3D has been a fruitful line of recent research.
Ranked #1 on
3D Human Pose Estimation
on 3D Poses in the Wild Challenge
(MPJPE metric)
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
Furthermore, as the image space is decoupled from the heatmap space, the network can learn to reason about joints beyond the image boundary.
Ranked #170 on
3D Human Pose Estimation
on Human3.6M
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation
In this paper we present our winning entry at the 2018 ECCV PoseTrack Challenge on 3D human pose estimation.
Ranked #234 on
3D Human Pose Estimation
on Human3.6M
How Robust is 3D Human Pose Estimation to Occlusion?
Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchmarks.
Ranked #245 on
3D Human Pose Estimation
on Human3.6M
Deep Person Detection in 2D Range Data
Detecting humans is a key skill for mobile robots and intelligent vehicles in a large variety of applications.
