11 citations · 40 across the 12 of their papers we have counts for
12 papers
A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images
Dawen Yu, Shunping Ji
Instance segmentation performance in remote sensing images (RSIs) is significantly affected by two issues: how to extract accurate boundaries of objects from remote imaging through…
Online Temporal Fusion for Vectorized Map Construction in Mapless Autonomous Driving
Jiagang Chen, Liangliang Pan, Shunping Ji +2
To reduce the reliance on high-definition (HD) maps, a growing trend in autonomous driving is leveraging onboard sensors to generate vectorized maps online. However, current method…
Long-Range Correlation Supervision for Land-Cover Classification from Remote Sensing Images
Dawen Yu, Shunping Ji
Long-range dependency modeling has been widely considered in modern deep learning based semantic segmentation methods, especially those designed for large-size remote sensing image…
1st Place Solution for the 5th LSVOS Challenge: Video Instance Segmentation
Tao Zhang, Xingye Tian, Yikang Zhou +7
Video instance segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. In this report…
DVIS: Decoupled Video Instance Segmentation Framework
Tao Zhang, Xingye Tian, Yu Wu +4
Video instance segmentation (VIS) is a critical task with diverse applications, including autonomous driving and video editing. Existing methods often underperform on complex and l…
1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
Tao Zhang, Xingye Tian, Haoran Wei +6
Video panoptic segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving. We believe tha…
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…
A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction
Muying Luo, Shunping Ji, Shiqing Wei
In this paper, we introduce a new building dataset and propose a novel domain generalization method to facilitate the development of building extraction from high-resolution remote…
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…
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…
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…
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…