1 code implementation • 29 Dec 2022 • István Sárándi, Alexander Hermans, Bastian Leibe
Our approach scales to an extreme multi-dataset regime, where we use 28 3D human pose datasets to supervise one model, which outperforms prior work on a range of benchmarks, including the challenging 3D Poses in the Wild (3DPW) dataset.
1 code implementation • 12 Jul 2020 • István Sárándi, Timm Linder, Kai O. Arras, Bastian Leibe
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)
1 code implementation • 8 Jun 2020 • Markus Knoche, István Sárándi, Bastian Leibe
We address the problem of reposing an image of a human into any desired novel pose.
1 code implementation • 5 Mar 2020 • István Sárándi, Timm Linder, Kai O. Arras, Bastian Leibe
Furthermore, as the image space is decoupled from the heatmap space, the network can learn to reason about joints beyond the image boundary.
Ranked #160 on 3D Human Pose Estimation on Human3.6M
no code implementations • 7 Jun 2019 • Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe
We address the problem of learning a single model for person re-identification, attribute classification, body part segmentation, and pose estimation.
1 code implementation • 13 Sep 2018 • István Sárándi, Timm Linder, Kai O. Arras, Bastian Leibe
In this paper we present our winning entry at the 2018 ECCV PoseTrack Challenge on 3D human pose estimation.
Ranked #223 on 3D Human Pose Estimation on Human3.6M
1 code implementation • 28 Aug 2018 • István Sárándi, Timm Linder, Kai O. Arras, Bastian Leibe
Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchmarks.
Ranked #234 on 3D Human Pose Estimation on Human3.6M