104 citations · 230 across the 7 of their papers we have counts for
7 papers
Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats
István Sárándi, Alexander Hermans, Bastian Leibe
Deep learning-based 3D human pose estimation performs best when trained on large amounts of labeled data, making combined learning from many datasets an important research directio…
MeTRAbs: Metric-Scale Truncation-Robust Heatmaps for Absolute 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
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. This includes…
Reposing Humans by Warping 3D Features
Markus Knoche, István Sárándi, Bastian Leibe
We address the problem of reposing an image of a human into any desired novel pose. This conditional image-generation task requires reasoning about the 3D structure of the human, i…
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
Heatmap representations have formed the basis of 2D human pose estimation systems for many years, but their generalizations for 3D pose have only recently been considered. This inc…
Visual Person Understanding through Multi-Task and Multi-Dataset Learning
Kilian Pfeiffer, Alexander Hermans, István Sárándi +2
We address the problem of learning a single model for person re-identification, attribute classification, body part segmentation, and pose estimation. With predictions for these ta…
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
In this paper we present our winning entry at the 2018 ECCV PoseTrack Challenge on 3D human pose estimation. Using a fully-convolutional backbone architecture, we obtain volumetric…