activity
20202022
most citedE2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

11 citations · 14 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20223 cited

BuildMapper: A Fully Learnable Framework for Vectorized Building Contour Extraction

Shiqing Wei, Tao Zhang, Shunping Ji +2

Deep learning based methods have significantly boosted the study of automatic building extraction from remote sensing images. However, delineating vectorized and regular building c…

cs.CV202211 cited

E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

Tao Zhang, Shiqing Wei, Shunping Ji

Contour-based instance segmentation methods have developed rapidly recently but feature rough and hand-crafted front-end contour initialization, which restricts the model performan…

eess.IV2021

Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching

Jian Gao, Jin Liu, Shunping Ji

Satellite multi-view stereo (MVS) imagery is particularly suited for large-scale Earth surface reconstruction. Differing from the perspective camera model (pin-hole model) that is…

cs.CV2020

Scribble-based Weakly Supervised Deep Learning for Road Surface Extraction from Remote Sensing Images

Yao Wei, Shunping Ji

Road surface extraction from remote sensing images using deep learning methods has achieved good performance, while most of the existing methods are based on fully supervised learn…

cs.CV2020

A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset

Jin Liu, Shunping Ji

A great deal of research has demonstrated recently that multi-view stereo (MVS) matching can be solved with deep learning methods. However, these efforts were focused on close-rang…