599 citations · 1.9k across the 42 of their papers we have counts for
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cs.CV2023
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation
Qing Li, Huifang Feng, Kanle Shi +3
We propose Neural Gradient Learning (NGL), a deep learning approach to learn gradient vectors with consistent orientation from 3D point clouds for normal estimation. It has excelle…
cs.CV2023
A boundary-aware point clustering approach in Euclidean and embedding spaces for roof plane segmentation
Li Li, Qingqing Li, Guozheng Xu +5
Roof plane segmentation from airborne LiDAR point clouds is an important technology for 3D building model reconstruction. One of the key issues of plane segmentation is how to desi…
cs.CV2023★ 3 cited
DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
Jingfan Chen, Yuxi Wang, Pengfei Wang +4
The Class Incremental Semantic Segmentation (CISS) extends the traditional segmentation task by incrementally learning newly added classes. Previous work has introduced generative…