2 papers
cs.CV2023
Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training
Mohammad Rezaei, Farnaz Farahanipad, Alex Dillhoff +1
Despite the significant progress that depth-based 3D hand pose estimation methods have made in recent years, they still require a large amount of labeled training data to achieve h…
cs.CV2022
TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation
Mohammad Rezaei, Razieh Rastgoo, Vassilis Athitsos
3D hand pose estimation methods have made significant progress recently. However, the estimation accuracy is often far from sufficient for specific real-world applications, and thu…