no code implementations • 28 Apr 2024 • Zhiyao Zhang, Yunzhou Zhang, Yanmin Wu, Bin Zhao, Xingshuo Wang, Rui Tian
With the emergence of Neural Radiance Fields (NeRF), neural implicit representations have gained widespread applications across various domains, including simultaneous localization and mapping.
no code implementations • 4 Nov 2023 • Yong Li, Zhiguo Zhao, Yunli Chen, Rui Tian
To address these challenges, our research introduces a parallel spatial transformation (PST)-based framework for large-scale, multi-view, multi-sensor scenarios.
no code implementations • 29 Sep 2023 • Linghao Yang, Yanmin Wu, Yu Deng, Rui Tian, Xinggang Hu, Tiefeng Ma
Subsequently, in the part of object state estimation, we propose a tightly coupled optimization model for object pose and scale estimation, incorporating hybrids constraints into a novel dual sliding window optimization framework for joint estimation.
1 code implementation • CVPR 2023 • Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu Qiao, Yu-Gang Jiang
We introduce, ResFormer, a framework that is built upon the seminal idea of multi-resolution training for improved performance on a wide spectrum of, mostly unseen, testing resolutions.
no code implementations • 29 Aug 2022 • Zhitong Lai, Haichao Sun, Rui Tian, Nannan Ding, Zhiguo Wu, Yanjie Wang
Skip connections are fundamental units in encoder-decoder networks, which are able to improve the feature propagtion of the neural networks.
no code implementations • 26 Apr 2022 • Rui Tian, Zuxuan Wu, Qi Dai, Han Hu, Yu-Gang Jiang
With Vision Transformers (ViTs) making great advances in a variety of computer vision tasks, recent literature have proposed various variants of vanilla ViTs to achieve better efficiency and efficacy.
no code implementations • 18 Oct 2021 • Rui Tian, Yunzhou Zhang, Yonghui Feng, Linghao Yang, Zhenzhong Cao, Sonya Coleman, Dermot Kerr
To solve this problem, we propose a quadric initialization method based on the decoupling of the quadric parameters method, which improves the robustness to observation noise.
no code implementations • 15 Jan 2021 • Rui Tian, Yunzhou Zhang, Delong Zhu, Shiwen Liang, Sonya Coleman, Dermot Kerr
In this paper, with the assumption of a constant height of the camera above the ground, we develop a light-weight scale recovery framework leveraging an accurate and robust estimation of the ground plane.