no code implementations • 18 May 2023 • Lihui Qian, Xintong Han, Faqiang Wang, Hongyu Liu, Haoye Dong, Zhiwen Li, Huawei Wei, Zhe Lin, Cheng-Bin Jin
We present XFormer, a novel human mesh and motion capture method that achieves real-time performance on consumer CPUs given only monocular images as input.
Ranked #32 on 3D Human Pose Estimation on 3DPW
1 code implementation • journal 2019 • Cheng-Bin Jin, Hakil Kim, Mingjie Liu, In Ho Han, Jae Il Lee, Jung Hwan Lee, Seongsu Joo, Eunsik Park, Young Saem Ahn, Xuenan Cui
In this paper, we propose a method for estimating lumbar spine MR images based on CT images using a novel objective function and a dual cycle-consistent adversarial network (DC2Anet) with semi-supervised learning.
no code implementations • 16 Jun 2019 • Trung Dung Do, Cheng-Bin Jin, Hakil Kim, Van Huan Nguyen
MSL consists of between-class and within-class loss.
1 code implementation • 28 May 2018 • Cheng-Bin Jin, Hakil Kim, Wonmo Jung, Seongsu Joo, Ensik Park, Ahn Young Saem, In Ho Han, Jae Il Lee, Xuenan Cui
To improve the accuracy of CT-based radiotherapy planning, we propose a synthetic approach that translates a CT image into an MR image using paired and unpaired training data.
1 code implementation • 10 Oct 2017 • Cheng-Bin Jin, Shengzhe Li, Hakil Kim
The proposed approach achieved a mean average precision (mAP) of 76. 6% at the frame-based and 83. 5% at the video-based measurement on the new large-scale ICVL video surveillance dataset that the authors introduce and make available to the community with this paper.