dfki-signlanguage Goto Github PK
Name: DFKI Team on Sign Language
Type: Organization
Name: DFKI Team on Sign Language
Type: Organization
Appraise code used as part of WMT-SLT22 human evaluation campaign
Ekman facial expression classifier trained on affect net and tuned & tested for videos containing Sign Language.
Scripts for the annotation and clustering of emotions in sign language datasets
Code for reproducing the experiments of the SLTAT-2022 paper on fine-tuning of convolutional neural networks for the recognition of facial expressions in sign language video samples
Pre-processing and execution scripts for experiments on automatic translation of sign language focusing on the gloss-to-text. Research done in the frame of the bachelor's thesis of Galina Angelova, supported by the BMBF-funded project SocialWear
Video recording app with sub-millisecond synchronization accuracy for multiple Android smartphones, useful for creating affordable and easy-to-setup multi-view camera systems for robotics, SLAM, 3D-reconstruction, panorama stitching.
A project where motion capture data is created based on the AI solution MediaPipe Holistic and applied to a 3D character in Blender
HoloLens Application with a scripted 3D sign language avatar
Extensions of the code from the Univ. of Surrey (Sign Language Transformers (CVPR'20) in order to reproduce state-of-the-art experiments on machine translation of sign language in a GPU cluster and support 3D geometric augmentation of body keypoints
Code collections for sign language text-to-gloss translation. Research done in the frame of the master thesis as well as ACL'23 publication of Dele Zhu, supported by the BMBF-funded project SocialWear
A Blender add-on to transfer ShapeKeys between objects using compatible UV maps for vertex matching.
A set of command-line tools to preprocess videos for sign language analysis
Evaluation of the first shared task for machine translation of sign language
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