1 code implementation • 6 Feb 2024 • Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison
We introduce EscherNet, a multi-view conditioned diffusion model for view synthesis.
1 code implementation • CVPR 2023 • Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison
We present vMAP, an object-level dense SLAM system using neural field representations.
no code implementations • 31 Jul 2022 • Guangyao Zhai, Yu Zheng, Ziwei Xu, Xin Kong, Yong liu, Benjamin Busam, Yi Ren, Nassir Navab, Zhengyou Zhang
In this paper, we introduce DA$^2$, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects.
1 code implementation • 23 Sep 2021 • Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong liu, Wanlong Li, Feng Wen, Hongbo Zhang
Specifically, the network takes a raw point cloud as input, and merges the features from the segmentation branch into the completion branch hierarchically to provide semantic information.
Ranked #4 on 3D Semantic Scene Completion on SemanticKITTI
1 code implementation • 1 Jul 2021 • Lin Li, Xin Kong, Xiangrui Zhao, Tianxin Huang, Yong liu
We also present a two-step global semantic ICP to obtain the 3D pose (x, y, yaw) used to align the point cloud to improve matching performance.
Ranked #1 on Visual Place Recognition on KITTI
no code implementations • 22 Jun 2021 • Lin Li, Xin Kong, Xiangrui Zhao, Wanlong Li, Feng Wen, Hongbo Zhang, Yong liu
LiDAR-based SLAM system is admittedly more accurate and stable than others, while its loop closure detection is still an open issue.
no code implementations • 14 Dec 2020 • Guangyao Zhai, Xin Kong, Jinhao Cui, Yong liu, Zhen Yang
Most end-to-end Multi-Object Tracking (MOT) methods face the problems of low accuracy and poor generalization ability.
1 code implementation • 14 Dec 2020 • Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong liu, Xinxin Chen, Yi Yuan
To obtainmore accurate depth estimation in large gradient regions, itis necessary to obtain high-resolution features with spatialand semantic information.
Ranked #7 on Unsupervised Monocular Depth Estimation on KITTI-C
no code implementations • 22 Oct 2020 • Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong liu, Feng Wen, Wanlong Li
A main challenge in 3D single object tracking is how to reduce search space for generating appropriate 3D candidates.
1 code implementation • 26 Aug 2020 • Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong liu, Wanlong Li, Feng Wen
First, we propose a novel semantic graph representation for the point cloud scenes by reserving the semantic and topological information of the raw point cloud.
no code implementations • 4 Sep 2019 • Xin Kong, Guangyao Zhai, Baoquan Zhong, Yong liu
In this paper, we propose PASS3D to achieve point-wise semantic segmentation for 3D point cloud.