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cs.CV2023
Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects
Baowen Zhang, Jiahe Li, Xiaoming Deng +3
Learning 3D shape representation with dense correspondence for deformable objects is a fundamental problem in computer vision. Existing approaches often need additional annotations…
cs.CV2023★ 1 cited
EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision
Jianping Jiang, Jiahe Li, Baowen Zhang +2
Event camera shows great potential in 3D hand pose estimation, especially addressing the challenges of fast motion and high dynamic range in a low-power way. However, due to the as…
cs.CV2023
STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition
Ming Li, Xiangyu Xu, Hehe Fan +7
Existing methods of privacy-preserving action recognition (PPAR) mainly focus on frame-level (spatial) privacy removal through 2D CNNs. Unfortunately, they have two major drawbacks…