no code implementations • 21 Jan 2021 • Yongjian Zhou, Liyang Liao, Xiaofeng Zhou, Hua Bai, Mingkun Zhao, Caihua Wan, Siqi Yin, Lin Huang, Tingwen Guo, Lei Han, Ruyi Chen, Zhiyuan Zhou, Xiufeng Han, Feng Pan, Cheng Song
The interlayer coupling mediated by fermions in ferromagnets brings about parallel and anti-parallel magnetization orientations of two magnetic layers, resulting in the giant magnetoresistance, which forms the foundation in spintronics and accelerates the development of information technology.
Materials Science
no code implementations • 18 Feb 2022 • Lin Huang, Qiyuan Dong, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
As a specific semantic segmentation task, aerial imagery segmentation has been widely employed in high spatial resolution (HSR) remote sensing images understanding.
no code implementations • 18 Feb 2022 • Lin Huang, Lijun Wu, Jia Zhang, Jiang Bian, Tie-Yan Liu
How to discover the useful implicit relation between entities and effectively utilize the relations for each entity under various circumstances is crucial.
no code implementations • 23 Jun 2022 • Weisheng Li, Lin Huang
Applying an attention module here can effectively improve the detection accuracy of the model.
no code implementations • 30 Jul 2022 • Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, Luan Tran, Christopher Twigg, Po-Chen Wu, Junsong Yuan, Cem Keskin, Robert Wang
Unlike classical correspondence-based methods which predict 3D object coordinates at pixels of the input image, the proposed method predicts 3D object coordinates at 3D query points sampled in the camera frustum.
no code implementations • CVPR 2023 • Lin Huang, Chung-Ching Lin, Kevin Lin, Lin Liang, Lijuan Wang, Junsong Yuan, Zicheng Liu
We present a unified framework for camera-space 3D hand pose estimation from a single RGB image based on 3D implicit representation.
Ranked #4 on 3D Hand Pose Estimation on HO-3D
no code implementations • 7 May 2023 • Lin Huang, Weisheng Li, Linlin Shen, Haojie Fu, Xue Xiao, Suihan Xiao
Maintaining inference speeds remarkably similar to those of the YOLOv5 model, the large, medium, and small YOLOCS models surpass the YOLOv5 model's AP by 1. 1%, 2. 3%, and 5. 2%, respectively.
no code implementations • 31 Jul 2023 • Lin Huang, Weisheng Li, Linlin Shen, Xue Xiao, Suihan Xiao
In this study, the structural problems of the YOLOv5 model were analyzed emphatically.
no code implementations • ECCV 2020 • Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan
To address this issue, we connect this structured output learning problem with the structured modeling framework in sequence transduction field.
no code implementations • ECCV 2020 • Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann
Last, in order to incorporate a general motion space for high-quality prediction, we build a memory-based dictionary, which aims to preserve the global motion patterns in training data to guide the predictions.