no code implementations • 17 Apr 2024 • Linfang Zheng, Tze Ho Elden Tse, Chen Wang, Yinghan Sun, Hua Chen, Ales Leonardis, Wei zhang
Object pose refinement is essential for robust object pose estimation.
no code implementations • 25 Mar 2024 • Ziheng Deng, Hua Chen, Haibo Hu, Zhiyong Xu, Tianling Lyu, Yan Xi, Yang Chen, Jun Zhao
In this paper, we first explore the origin and appearance of streak artifacts in 4D CBCT images. Specifically, we find that streak artifacts exhibit a periodic rotational motion along with the patient's respiration.
no code implementations • 11 Mar 2024 • Han Yan, Hua Chen, Wei Liu, Songjie Yang, Gang Wang, Chau Yuen
Reconfigurable Intelligent Surfaces (RIS) show great promise in the realm of 6th generation (6G) wireless systems, particularly in the areas of localization and communication.
no code implementations • 21 Nov 2023 • Yinghan Sun, Linfang Zheng, Hua Chen, Wei zhang
This paper studies the problem of extracting planar regions in uneven terrains from unordered point cloud measurements.
1 code implementation • CVPR 2023 • Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang
The key to associating the two different representations is our introduced input-dependent Query Initialization module, which could efficiently generate reference points and content queries.
1 code implementation • CVPR 2023 • Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ales Leonardis, Wei zhang, Hyung Jin Chang
In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation.
1 code implementation • CVPR 2023 • Honghui Yang, Tong He, Jiaheng Liu, Hua Chen, Boxi Wu, Binbin Lin, Xiaofei He, Wanli Ouyang
In contrast to previous 3D MAE frameworks, which either design a complex decoder to infer masked information from maintained regions or adopt sophisticated masking strategies, we instead propose a much simpler paradigm.
no code implementations • 14 Nov 2022 • Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang
When training a teacher-student semi-supervised framework, we randomly select gt samples and pseudo samples to both labeled frames and unlabeled frames, making a strong data augmentation for them.
no code implementations • 9 Feb 2021 • Hua Chen, Peng Luo
In this paper we study the following torsion problem \begin{equation*} \begin{cases} -\Delta u=1~&\mbox{in}\ \Omega,\\[1mm] u=0~&\mbox{on}\ \partial\Omega.
Analysis of PDEs
no code implementations • 3 Dec 2020 • Hua Chen, W. Vincent Liu
We study the circular shaking of a two dimensional optical lattice, which is essentially a (2+1) dimensional space-time lattice exhibiting periodicities in both spatial and temporal dimensions.
Quantum Gases Quantum Physics