154 citations · 296 across the 21 of their papers we have counts for
6 papers · 1 filter
Hybrid Feature Embedding For Automatic Building Outline Extraction
Weihang Ran, Wei Yuan, Xiaodan Shi +2
Building outline extracted from high-resolution aerial images can be used in various application fields such as change detection and disaster assessment. However, traditional CNN m…
Enhancing Building Semantic Segmentation Accuracy with Super Resolution and Deep Learning: Investigating the Impact of Spatial Resolution on Various Datasets
Zhiling Guo, Xiaodan Shi, Haoran Zhang +4
The development of remote sensing and deep learning techniques has enabled building semantic segmentation with high accuracy and efficiency. Despite their success in different task…
Real-World Video for Zoom Enhancement based on Spatio-Temporal Coupling
Zhiling Guo, Yinqiang Zheng, Haoran Zhang +4
In recent years, single-frame image super-resolution (SR) has become more realistic by considering the zooming effect and using real-world short- and long-focus image pairs. In thi…
Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment
Yohei Koga, Hiroyuki Miyazaki, Ryosuke Shibasaki
While recent advancement of domain adaptation techniques is significant, most of methods only align a feature extractor and do not adapt a classifier to target domain, which would…
Deep-learning coupled with novel classification method to classify the urban environment of the developing world
Qianwei Cheng, AKM Mahbubur Rahman, Anis Sarker +6
Rapid globalization and the interdependence of humanity that engender tremendous in-flow of human migration towards the urban spaces. With advent of high definition satellite image…
Visual Graph Mining
Quanshi Zhang, Xuan Song, Ryosuke Shibasaki
In this study, we formulate the concept of "mining maximal-size frequent subgraphs" in the challenging domain of visual data (images and videos). In general, visual knowledge can u…