45 citations · 120 across the 4 of their papers we have counts for
5 papers
CasP: Improving Semi-Dense Feature Matching Pipeline Leveraging Cascaded Correspondence Priors for Guidance
Peiqi Chen, Lei Yu, Yi Wan +9
Semi-dense feature matching methods have shown strong performance in challenging scenarios. However, the existing pipeline relies on a global search across the entire feature map t…
LiDAR-Based Place Recognition For Autonomous Driving: A Survey
Yongjun Zhang, Pengcheng Shi, Jiayuan Li
LiDAR-based place recognition (LPR) plays a pivotal role in autonomous driving, which assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated errors an…
Imbalance Knowledge-Driven Multi-modal Network for Land-Cover Semantic Segmentation Using Images and LiDAR Point Clouds
Yameng Wang, Yi Wan, Yongjun Zhang +2
Despite the good results that have been achieved in unimodal segmentation, the inherent limitations of individual data increase the difficulty of achieving breakthroughs in perform…
Progressive Learning with Cross-Window Consistency for Semi-Supervised Semantic Segmentation
Bo Dang, Yansheng Li, Yongjun Zhang +1
Semi-supervised semantic segmentation focuses on the exploration of a small amount of labeled data and a large amount of unlabeled data, which is more in line with the demands of r…
LiDAR-guided Stereo Matching with a Spatial Consistency Constraint
Yongjun Zhang, Siyuan Zou, Xinyi Liu +3
The complementary fusion of light detection and ranging (LiDAR) data and image data is a promising but challenging task for generating high-precision and high-density point clouds.…