activity
20222025
most citedGauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2025

DensifyBeforehand: LiDAR-assisted Content-aware Densification for Efficient and Quality 3D Gaussian Splatting

Phurtivilai Patt, Leyang Huang, Yinqiang Zhang +1

This paper addresses the limitations of existing 3D Gaussian Splatting (3DGS) methods, particularly their reliance on adaptive density control, which can lead to floating artifacts…

cs.GR20251 cited

GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D Reconstruction

Yuhan Xie, Yixi Cai, Yinqiang Zhang +2

This research tackles the challenge of real-time active view selection and uncertainty quantification on visual quality for active 3D reconstruction. Visual quality is a critical a…

cs.RO2024

Signage-Aware Exploration in Open World using Venue Maps

Chang Chen, Liang Lu, Lei Yang +4

Current exploration methods struggle to search for shops or restaurants in unknown open-world environments due to the lack of prior knowledge. Humans can leverage venue maps that o…

cs.RO2024

Semantic2D: Enabling Semantic Scene Understanding with 2D Lidar Alone

Zhanteng Xie, Yipeng Pan, Yinqiang Zhang +2

This article presents a complete semantic scene understanding workflow using only a single 2D lidar. This fills the gap in 2D lidar semantic segmentation, thereby enabling the reth…

cs.CV2022

Autofocus for Event Cameras

Shijie Lin, Yinqiang Zhang, Lei Yu +3

Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios. The autofocus (AF) facilitates the FC by automatically adjusting the focus se…