@misc{GreweZachow2021, author = {Grewe, C. Martin and Zachow, Stefan}, title = {Release of the FexMM for the Open Virtual Mirror Framework}, doi = {10.12752/8532}, year = {2021}, abstract = {THIS MODEL IS FOR NON-COMMERCIAL RESEARCH PURPOSES. ONLY MEMBERS OF UNIVERSITIES OR NON-COMMERCIAL RESEARCH INSTITUTES ARE ELIGIBLE TO APPLY. 1. Download, fill, and sign the form available from: https://media.githubusercontent.com/media/mgrewe/ovmf/main/data/fexmm_license_agreement.pdf 2. Send the signed form to: fexmm@zib.de NOTE: Use an official email address of your institution for the request.}, language = {en} } @misc{Tiwari2021, type = {Master Thesis}, author = {Tiwari, Sofi}, title = {Facial Landmark Detection on 3D Surface Scans using Geometric Deep Learning}, pages = {60}, year = {2021}, abstract = {Facial landmark detection on 3D scans is an active area of research. Most of the recent work focus on using statistical techniques and Deep Learning architectures to make the task of landmark detection an automated one. Recently, there has been an increasing interest in the field of Geometric Deep Learning that learns features directly from 3D data and offers a promising approach to improve the task of facial landmark detection. In this thesis, we investigate three different ways to improve an existing Geometric Deep Learning method for landmark detection on non-aligned face meshes. Our method offers promising results on meshes that are rotated up to 90° and outperforms the inter-rater variability obtained from the ground truth.}, language = {en} } @misc{Punjabi2021, type = {Master Thesis}, author = {Punjabi, Dev}, title = {Orientation-invariant Dense Correspondence using Graph Convolutional Neural Networks}, pages = {41}, year = {2021}, language = {en} } @article{GreweLiuKahletal.2021, author = {Grewe, Carl Martin and Liu, Tuo and Kahl, Christoph and Andrea, Hildebrandt and Zachow, Stefan}, title = {Statistical Learning of Facial Expressions Improves Realism of Animated Avatar Faces}, volume = {2}, journal = {Frontiers in Virtual Reality}, publisher = {Frontiers}, doi = {10.3389/frvir.2021.619811}, pages = {1 -- 13}, year = {2021}, language = {en} }