1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
DGS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
Kejing Xia, Jidong Jia, Ke Jin +4
Recently, Gaussian Splatting (GS) has shown great potential for urban scene reconstruction in the field of autonomous driving. However, current urban scene reconstruction methods o…
cs.CV2023
CLIP for Lightweight Semantic Segmentation
Ke Jin, Wankou Yang
The large-scale pretrained model CLIP, trained on 400 million image-text pairs, offers a promising paradigm for tackling vision tasks, albeit at the image level. Later works, such…
cs.CV2023★ 1 cited
VDD: Varied Drone Dataset for Semantic Segmentation
Wenxiao Cai, Ke Jin, Jinyan Hou +3
Semantic segmentation of drone images is critical for various aerial vision tasks as it provides essential semantic details to understand scenes on the ground. Ensuring high accura…