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InterHand2.6M (3D Interacting Hand Pose Estimation. ECCV 2020)
Hand3D: Hand Pose Estimation using 3D Neural Network
(CVPR 2016) DeepHand: Robust Hand Pose Estimation by Completing a Matrix Imputed with Deep Features
Hand Pose Estimation via Latent 2.5D Heatmap Regression
Real-time deep-learning-based hand pose and gesture recognition
571 - Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos
Using a Single RGB Frame for Real Time 3D Hand Pose Estimation in the Wild (IEEE WACV 2018)
Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation
Accurate 3D Hand Pose Regression for Robot Hand Teleoperation
Real-time Articulated Hand Pose Estimation using Semi-supervised Transductive Regression Forests
3D CNNs for Efficient and Robust Hand Pose Estimation (CVPR 2017)
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Last Updated: September 27, 2026
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Summary
DeepHand is a new method of recreating the Speaker: Vincent Lepetit from TU Graz Date: 06-July-2015 IRI Research Seminars Abstract: We introduce and evaluate several ... Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee. "InterHand2.6M: A Dataset and Baseline for 3D ... project page: idengxm.com/hand3d/index.html. This video shows the result of our We present a method for the real-time estimation of the full 3D Deformer: Dynamic Fusion Transformer for we present an approach for real-time, accurate 3D
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