activity
20212024
most citedDeep learning for 3D human pose estimation and mesh recovery: A survey

32 citations · 35 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 32 cited

Deep learning for 3D human pose estimation and mesh recovery: A survey

Yang Liu, Changzhen Qiu, Zhiyong Zhang

3D human pose estimation and mesh recovery have attracted widespread research interest in many areas, such as computer vision, autonomous driving, and robotics. Deep learning on 3D…

eess.IV2023

An atrium segmentation network with location guidance and siamese adjustment

Yuhan Xie, Zhiyong Zhang, Shaolong Chen +1

The segmentation of atrial scan images is of great significance for the three-dimensional reconstruction of the atrium and the surgical positioning. Most of the existing segmentati…

cs.CV2022★ 2 cited

Face Forgery Detection Based on Facial Region Displacement Trajectory Series

YuYang Sun, ZhiYong Zhang, Isao Echizen +3

Deep-learning-based technologies such as deepfakes ones have been attracting widespread attention in both society and academia, particularly ones used to synthesize forged face ima…

cs.CV2022★ 1 cited

Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm

Yuhan Xie, Kexin Jiang, Zhiyong Zhang +3

Medical image segmentation based on deep learning is often faced with the problems of insufficient datasets and long time-consuming labeling. In this paper, we introduce the self-s…

cs.CV2021

FakeTransformer: Exposing Face Forgery From Spatial-Temporal Representation Modeled By Facial Pixel Variations

Yuyang Sun, Zhiyong Zhang, Changzhen Qiu +2

With the rapid development of generation model, AI-based face manipulation technology, which called DeepFakes, has become more and more realistic. This means of face forgery can at…