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Simple and effective deep hand shape and pose regression from a single depth image., , , and . Comput. Graph., (2019)Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input., , , and . IEEE Access, (2021)3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor., , , , , and . Sensors, 18 (11): 3872 (2018)Structure from Articulated Motion: An Accurate and Stable Monocular 3D Reconstruction Approach without Training Data., , , , and . CoRR, (2019)WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth Image., , and . Sensors, 19 (17): 3784 (2019)ShapeGraFormer: GraFormer-Based Network for Hand-Object Reconstruction from a Single Depth Map., , , , and . CoRR, (2023)HandVoxNet++: 3D Hand Shape and Pose Estimation using Voxel-Based Neural Networks., , , , , , and . CoRR, (2021)THOR-Net: End-to-end Graformer-based Realistic Two Hands and Object Reconstruction with Self-supervision., , , , and . CoRR, (2022)Real-Time Energy Efficient Hand Pose Estimation: A Case Study., , , , , , , and . Sensors, 20 (10): 2828 (2020)Structure from Articulated Motion: Accurate and Stable Monocular 3D Reconstruction without Training Data., , , , and . Sensors, 19 (20): 4603 (2019)