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Found 4 papers, 1 papers with code
MC-TRISLAN: A Large 3D Motion Capture Sign Language Data-set
The new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18 hours of Czech sign language.
MuTr: Multi-Stage Transformer for Hand Pose Estimation from Full-Scene Depth Image
This work presents a novel transformer-based method for hand pose estimation—DePOTR.
Ranked #4 on
Hand Pose Estimation
on ICVL Hands
One Model is Not Enough: Ensembles for Isolated Sign Language Recognition
In this paper, we dive into sign language recognition, focusing on the recognition of isolated signs.
Ranked #4 on
Sign Language Recognition
on AUTSL
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
To address these issues, we designed a public challenge (HANDS'19) to evaluate the abilities of current 3D hand pose estimators (HPEs) to interpolate and extrapolate the poses of a training set.
