5 citations · 6 across the 5 of their papers we have counts for
5 papers
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…
DeepMLE: A Robust Deep Maximum Likelihood Estimator for Two-view Structure from Motion
Yuxi Xiao, Li Li, Xiaodi Li +1
Two-view structure from motion (SfM) is the cornerstone of 3D reconstruction and visual SLAM (vSLAM). Many existing end-to-end learning-based methods usually formulate it as a brut…
Vanishing Point Guided Natural Image Stitching
Kai Chen, Jian Yao, Jingmin Tu +3
Recently, works on improving the naturalness of stitching images gain more and more extensive attention. Previous methods suffer the failures of severe projective distortion and un…
Multiple Combined Constraints for Image Stitching
Kai Chen, Jingmin Tu, Binbin Xiang +2
Several approaches to image stitching use different constraints to estimate the motion model between image pairs. These constraints can be roughly divided into two categories: geom…
Learning to Refine Object Contours with a Top-Down Fully Convolutional Encoder-Decoder Network
Yahui Liu, Jian Yao, Li Li +2
We develop a novel deep contour detection algorithm with a top-down fully convolutional encoder-decoder network. Our proposed method, named TD-CEDN, solves two important issues in…