254 citations · 514 across the 33 of their papers we have counts for
8 papers · 1 filter
Quantum image edge detection based on eight-direction Sobel operator for NEQR
Wenjie Liu, Lu Wang
Quantum Sobel edge detection (QSED) is a kind of algorithm for image edge detection using quantum mechanism, which can solve the real-time problem encountered by classical algorith…
Multi-stage Progressive Reasoning for Dunhuang Murals Inpainting
Wenjie Liu, Baokai Liu, Shiqiang Du +3
Dunhuang murals suffer from fading, breakage, surface brittleness and extensive peeling affected by prolonged environmental erosion. Image inpainting techniques are widely used in…
Towards Accurate Acne Detection via Decoupled Sequential Detection Head
Xin Wei, Lei Zhang, Jianwei Zhang +4
Accurate acne detection plays a crucial role in acquiring precise diagnosis and conducting proper therapy. However, the ambiguous boundaries and arbitrary dimensions of acne lesion…
Elevation Estimation-Driven Building 3D Reconstruction from Single-View Remote Sensing Imagery
Yongqiang Mao, Kaiqiang Chen, Liangjin Zhao +7
Building 3D reconstruction from remote sensing images has a wide range of applications in smart cities, photogrammetry and other fields. Methods for automatic 3D urban building mod…
An advanced YOLOv3 method for small object detection
Baokai Liu, Fengjie He, Shiqiang Du +2
Small object detection has important application value in the fields of autonomous driving and drone scene analysis. As one of the most advanced object detection algorithms, YOLOv3…
A Data-dependent Approach for High Dimensional (Robust) Wasserstein Alignment
Hu Ding, Wenjie Liu, Mingquan Ye
Many real-world problems can be formulated as the alignment between two geometric patterns. Previously, a great amount of research focus on the alignment of 2D or 3D patterns in th…
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation
Shihao Sun, Lei Yang, Wenjie Liu +1
In recent years, Fully Convolutional Networks (FCN) has been widely used in various semantic segmentation tasks, including multi-modal remote sensing imagery. How to fuse multi-mod…
DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation
Ruirui Li, Wenjie Liu, Lei Yang +4
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the sea-land segmentation is a challenging task. Al…