3 papers
cs.CV2024
Scale Propagation Network for Generalizable Depth Completion
Haotian Wang, Meng Yang, Xinhu Zheng +1
Depth completion, inferring dense depth maps from sparse measurements, is crucial for robust 3D perception. Although deep learning based methods have made tremendous progress in th…
cs.RO2024
LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering
Sheng Hong, Junjie He, Xinhu Zheng +2
We introduce an integrated precise LiDAR, Inertial, and Visual (LIV) multimodal sensor fused mapping system that builds on the differentiable \pre{surface splatting }\now{Gaussians…
cs.CV2023
Generalized 3D Self-supervised Learning Framework via Prompted Foreground-Aware Feature Contrast
Kangcheng Liu, Xinhu Zheng, Chaoqun Wang +3
Contrastive learning has recently demonstrated great potential for unsupervised pre-training in 3D scene understanding tasks. However, most existing work randomly selects point fea…