3 citations · 3 across the 1 of their papers we have counts for
4 papers
3D Semantic Scene Completion from a Single Depth Image using Adversarial Training
Yueh-Tung Chen, Martin Garbade, Juergen Gall
We address the task of 3D semantic scene completion, i.e. , given a single depth image, we predict the semantic labels and occupancy of voxels in a 3D grid representing the scene.…
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
Jens Behley, Martin Garbade, Andres Milioto +4
Semantic scene understanding is important for various applications. In particular, self-driving cars need a fine-grained understanding of the surfaces and objects in their vicinity…
Two Stream 3D Semantic Scene Completion
Martin Garbade, Yueh-Tung Chen, Johann Sawatzky +1
Inferring the 3D geometry and the semantic meaning of surfaces, which are occluded, is a very challenging task. Recently, a first end-to-end learning approach has been proposed tha…
Pose for Action - Action for Pose
Umar Iqbal, Martin Garbade, Juergen Gall
In this work we propose to utilize information about human actions to improve pose estimation in monocular videos. To this end, we present a pictorial structure model that exploits…