Search Results for author: Cheng-Bin Jin

Found 5 papers, 3 papers with code

XFormer: Fast and Accurate Monocular 3D Body Capture

no code implementations18 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.

3D Human Pose Estimation

DC2Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning

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.

Computed Tomography (CT)

Deep CT to MR Synthesis using Paired and Unpaired Data

1 code implementation28 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.

Generative Adversarial Network

Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNN

1 code implementation10 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.

Action Detection Action Recognition +1

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