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Ruhan He

4 accepted papers

2023

Monocular 3D Human Pose Estimation Based on Global Temporal-Attentive and Joints-Attention In Video

ICASSP 2023accepted

Learning to capture human motion is essential to 3D human pose and shape estimation from monocular video, which is widely used in many 3D applications. However, the existing methods mainly rely on recurrent or convolutional operation to model such temporal information, which limits the ability to ca…

Cited by 0SourceScholar
2021

A Triplet Appearance Parsing Network for Person Re-Identification

ICASSP 2021accepted

As one of the specific vision tasks, person re-identification has become a prevalent research topic in the field of multimedia and computer vision. However, existing feature extraction methods, originating from the quality of the bounding boxes which could cause the inhomogeneity and incoherence of…

Cited by 0SourceScholar
2021

DP-VTON: Toward Detail-Preserving Image-Based Virtual Try-on Network

ICASSP 2021accepted

Image-based virtual try-on systems with the goal of transferring a target clothing item onto the corresponding region of a person have received great attention recently. However, it is still a challenge for the existing methods to generate photo-realistic try-on images while preserving non-target de…

Cited by 0SourceScholar