1 code implementation • 29 Feb 2024 • Yang Liu, Changzhen Qiu, Zhiyong Zhang
To the best of our knowledge, this survey is arguably the first to comprehensively cover deep learning methods for 3D human pose estimation, including both single-person and multi-person approaches, as well as human mesh recovery, encompassing methods based on explicit models and implicit representations.
no code implementations • 11 Jan 2023 • Yuhan Xie, Zhiyong Zhang, Shaolong Chen, Changzhen Qiu
The segmentation of atrial scan images is of great significance for the three-dimensional reconstruction of the atrium and the surgical positioning.
no code implementations • 7 Dec 2022 • Yuyang Sun, Zhiyong Zhang, Isao Echizen, Huy H. Nguyen, Changzhen Qiu, Lu Sun
We introduce a method for detecting manipulated videos that is based on the trajectory of the facial region displacement.
no code implementations • 7 May 2022 • Yuhan Xie, Kexin Jiang, Zhiyong Zhang, Shaolong Chen, Xiaodong Zhang, Changzhen Qiu
Medical image segmentation based on deep learning is often faced with the problems of insufficient datasets and long time-consuming labeling.
no code implementations • 15 Nov 2021 • Yuyang Sun, Zhiyong Zhang, Changzhen Qiu, Liang Wang, Zekai Wang
With the rapid development of generation model, AI-based face manipulation technology, which called DeepFakes, has become more and more realistic.