1 code implementation • 29 Nov 2021 • Pengfei Li, Yongliang Shi, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
Recent advances show that semi-supervised implicit representation learning can be achieved through physical constraints like Eikonal equations.
1 code implementation • 24 Nov 2021 • Xiaoxue Chen, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
Multi-task indoor scene understanding is widely considered as an intriguing formulation, as the affinity of different tasks may lead to improved performance.
Ranked #24 on
Semantic Segmentation
on NYU Depth v2
no code implementations • 22 Oct 2021 • Guan Wang, Haoyi Niu, Desheng Zhu, Jianming Hu, Xianyuan Zhan, Guyue Zhou
Heated debates continue over the best autonomous driving framework.
no code implementations • 21 Oct 2021 • Jin Li, Xianyuan Zhan, Zixu Xiao, Guyue Zhou
End-to-end learning robotic manipulation with high data efficiency is one of the key challenges in robotics.
1 code implementation • 17 Sep 2021 • Liyi Luo, Beiwen Tian, Hao Zhao, Guyue Zhou
Semantic understanding of 3D point clouds is important for various robotics applications.
1 code implementation • 12 Sep 2021 • Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang
Such a scheme has two limitations: 1) Storing and running several networks for different tasks are expensive for typical robotic platforms.
no code implementations • 18 Sep 2017 • Lei Han, Guyue Zhou, Lan Xu, Lu Fang
The proposed system originates from our previous work Multi-Index hashing for Loop closure Detection (MILD), which employs Multi-Index Hashing (MIH)~\cite{greene1994multi} for Approximate Nearest Neighbor (ANN) search of binary features.
no code implementations • 29 Oct 2016 • Lan Xu, Lu Fang, Wei Cheng, Kaiwen Guo, Guyue Zhou, Qionghai Dai, Yebin Liu
We propose a novel non-rigid surface registration method to track and fuse the depth of the three flying cameras for surface motion tracking of the moving target, and simultaneously calculate the pose of each flying camera.
no code implementations • 6 Oct 2016 • Ziwei Xu, Haitian Zheng, Minjian Pang, Yangchun Zhu, Xiongfei Su, Guyue Zhou, Lu Fang
Towards robust and convenient indoor shopping mall navigation, we propose a novel learning-based scheme to utilize the high-level visual information from the storefront images captured by personal devices of users.