activity
20222026
most citedSuperpoint Transformer for 3D Scene Instance Segmentation

7 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

GARDEN: Gravity-Aligned Reconstruction of Disentangled ENvironments from RGB images

Jiahao Sun, Dingkun Wei, Zehong Shen +3

Converting multi-view RGB observations into simulation-ready 3D environments remains challenging because current reconstruction pipelines produce monolithic scene representations w…

cs.CV2024

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models

Jiahao Sun, Chunmei Qing, Xiang Xu +10

In the rapidly evolving field of autonomous driving, precise segmentation of LiDAR data is crucial for understanding complex 3D environments. Traditional approaches often rely on d…

cs.CV2024

CT-NeRF: Incremental Optimizing Neural Radiance Field and Poses with Complex Trajectory

Yunlong Ran, Yanxu Li, Qi Ye +4

Neural radiance field (NeRF) has achieved impressive results in high-quality 3D scene reconstruction. However, NeRF heavily relies on precise camera poses. While recent works like…

cs.RO2024

Autonomous Implicit Indoor Scene Reconstruction with Frontier Exploration

Jing Zeng, Yanxu Li, Jiahao Sun +3

Implicit neural representations have demonstrated significant promise for 3D scene reconstruction. Recent works have extended their applications to autonomous implicit reconstructi…

cs.CV2022★ 7 cited

Superpoint Transformer for 3D Scene Instance Segmentation

Jiahao Sun, Chunmei Qing, Junpeng Tan +1

Most existing methods realize 3D instance segmentation by extending those models used for 3D object detection or 3D semantic segmentation. However, these non-straightforward method…