Distinguished Paper Award
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Two Heads are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications Paper Code IPNet utilizes a 2D CNN for visual feature extraction and initial hand pose estimation. Then, IPNet obtains the initial point cloud features through a 2D-3D projection module. Finally, IPNet iteratively updates point features and refines hand pose in the […]