no code implementations • 8 Nov 2023 • Cathrin Elich, Lukas Kirchdorfer, Jan M. Köhler, Lukas Schott
Second, the notion of gradient conflicts has often been phrased as a specific problem in MTL.
no code implementations • 3 May 2023 • Cathrin Elich, Iro Armeni, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler
Our approach compares favorably to previous state-of-the-art object-level matching approaches and achieves improved performance over a pure keypoint-based approach for large view-point changes.
no code implementations • 8 Oct 2020 • Cathrin Elich, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler
Our approach learns to decompose images of synthetic scenes with multiple objects on a planar surface into its constituent scene objects and to infer their 3D properties from a single view.
no code implementations • 28 Sep 2020 • Cathrin Elich, Martin R. Oswald, Marc Pollefeys, Joerg Stueckler
By differentiable rendering, we train our model to decompose scenes self-supervised from RGB-D images.
no code implementations • 3 Apr 2019 • Cathrin Elich, Francis Engelmann, Theodora Kontogianni, Bastian Leibe
A lot of progress was made in the field of object classification and semantic segmentation.
Ranked #4 on 3D Semantic Instance Segmentation on ScanNetV2
3D Instance Segmentation 3D Semantic Instance Segmentation +4