1 code implementation • 9 Jan 2024 • Yifan Xie, Boyu Wang, Shiqi Li, Jihua Zhu
In this paper, we propose a novel Iterative Feedback Network (IFNet) for unsupervised point cloud registration, in which the representation of low-level features is efficiently enriched by rerouting subsequent high-level features.
1 code implementation • 2 Nov 2023 • Yifan Xie, Jihua Zhu, Shiqi Li, Pengcheng Shi
Specifically, we first incorporate the projected images from the point clouds and fuse the cross-modal features using the attention mechanism.
no code implementations • 18 Oct 2023 • Shiqi Li, Jihua Zhu, Yifan Xie
Point cloud registration plays a crucial role in various computer vision tasks, and usually demands the resolution of partial overlap registration in practice.
no code implementations • 21 May 2022 • Shiqi Li, Xiang Xiang
Recent research on human pose estimation exploits complex structures to improve performance on benchmark datasets, ignoring the resource overhead and inference speed when the model is actually deployed.
no code implementations • WS 2018 • Chao Bei, Hao Zong, Yiming Wang, Baoyong Fan, Shiqi Li, Conghu Yuan
The submitted system focus on data clearing and techniques to build a competitive model for this task.