activity
20162021
most citedHadamard single-pixel imaging versus Fourier single-pixel imaging

569 citations · 739 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 43 cited

DARDet: A Dense Anchor-free Rotated Object Detector in Aerial Images

Feng Zhang, Xueying Wang, Shilin Zhou +1

Rotated object detection in aerial images has received increasing attention for a wide range of applications. However, it is also a challenging task due to the huge variations of s…

cs.CV2021★ 35 cited

Prior-Guided Multi-View 3D Head Reconstruction

Xueying Wang, Yudong Guo, Zhongqi Yang +1

Recovery of a 3D head model including the complete face and hair regions is still a challenging problem in computer vision and graphics. In this paper, we consider this problem usi…

cs.CV2021★ 89 cited

Arbitrary-Oriented Ship Detection through Center-Head Point Extraction

Feng Zhang, Xueying Wang, Shilin Zhou +2

Ship detection in remote sensing images plays a crucial role in various applications and has drawn increasing attention in recent years. However, existing arbitrary-oriented ship d…

cs.CV2020★ 1 cited

Lightweight Photometric Stereo for Facial Details Recovery

Xueying Wang, Yudong Guo, Bailin Deng +1

Recently, 3D face reconstruction from a single image has achieved great success with the help of deep learning and shape prior knowledge, but they often fail to produce accurate ge…

physics.optics2017★ 569 cited

Hadamard single-pixel imaging versus Fourier single-pixel imaging

Zibang Zhang, Xueying Wang, Guoan Zheng +1

Single-pixel imaging is an innovative imaging scheme and has received increasing attentions in recent years. It is applicable to imaging at non-visible wavelengths and imaging unde…

cs.CV2016★ 2 cited

Fast Fourier single-pixel imaging using binary illumination

Zibang Zhang, Xueying Wang, Jingang Zhong

Fourier single-pixel imaging (FSI) has proven capable of reconstructing high-quality two-dimensional and three-dimensional images. The utilization of the sparsity of natural images…