5 papers · 1 filter
Optimization of Module Transferability in Single Image Super-Resolution: Universality Assessment and Cycle Residual Blocks
Haotong Cheng, Zhiqi Zhang, Hao Li +1
Deep learning has substantially advanced the field of Single Image Super-Resolution (SISR). However, existing research has predominantly focused on raw performance gains, with litt…
T-Graph: Enhancing Sparse-view Camera Pose Estimation by Pairwise Translation Graph
Qingyu Xian, Weiqin Jiao, Hao Cheng +2
Sparse-view camera pose estimation, which aims to estimate the 6-Degree-of-Freedom (6-DoF) poses from a limited number of images captured from different viewpoints, is a fundamenta…
LDPoly: Latent Diffusion for Polygonal Road Outline Extraction in Large-Scale Topographic Mapping
Weiqin Jiao, Hao Cheng, George Vosselman +1
Polygonal road outline extraction from high-resolution aerial images is an important task in large-scale topographic mapping, where roads are represented as vectorized polygons, ca…
RoIPoly: Vectorized Building Outline Extraction Using Vertex and Logit Embeddings
Weiqin Jiao, Hao Cheng, Claudio Persello +1
Polygonal building outlines are crucial for geographic and cartographic applications. The existing approaches for outline extraction from aerial or satellite imagery are typically…
Learning from Exemplars for Interactive Image Segmentation
Kun Li, Hao Cheng, George Vosselman +1
Interactive image segmentation enables users to interact minimally with a machine, facilitating the gradual refinement of the segmentation mask for a target of interest. Previous s…