12 citations · 41 across the 12 of their papers we have counts for
4 papers · 1 filter
ProPLIKS: Probablistic 3D human body pose estimation
Karthik Shetty, Annette Birkhold, Bernhard Egger +4
We present a novel approach for 3D human pose estimation by employing probabilistic modeling. This approach leverages the advantages of normalizing flows in non-Euclidean geometrie…
Action Learning for 3D Point Cloud Based Organ Segmentation
Xia Zhong, Mario Amrehn, Nishant Ravikumar +6
We propose a novel point cloud based 3D organ segmentation pipeline utilizing deep Q-learning. In order to preserve shape properties, the learning process is guided using a statist…
Robust Seed Mask Generation for Interactive Image Segmentation
Mario Amrehn, Stefan Steidl, Markus Kowarschik +1
In interactive medical image segmentation, anatomical structures are extracted from reconstructed volumetric images. The first iterations of user interaction traditionally consist…
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model
Mario Amrehn, Sven Gaube, Mathias Unberath +6
For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data…