6 citations · 6 across the 3 of their papers we have counts for
5 papers
A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images
Junzheng Wu, Ruigang Fu, Qiang Liu +4
The very high spatial resolution (VHR) remote sensing images have been an extremely valuable source for monitoring changes occurred on the earth surface. However, precisely detecti…
Real-Time Anchor-Free Single-Stage 3D Detection with IoU-Awareness
Runzhou Ge, Zhuangzhuang Ding, Yihan Hu +4
In this report, we introduce our winning solution to the Real-time 3D Detection and also the "Most Efficient Model" in the Waymo Open Dataset Challenges at CVPR 2021. Extended from…
Smart obervation method with wide field small aperture telescopes for real time transient detection
Peng Jia, Qiang Liu, Yongyang Sun +3
Wide field small aperture telescopes (WFSATs) are commonly used for fast sky survey. Telescope arrays composed by several WFSATs are capable to scan sky several times per night. Hu…
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data
Peng Jia, Xuebo Wu, Zhengyang Li +4
The point spread function (PSF) reflects states of a telescope and plays an important role in development of data processing methods, such as PSF based astrometry, photometry and i…
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes
Peng Jia, Qiang Liu, Yongyang Sun
Wide field small aperture telescopes are widely used for optical transient observations. Detection and classification of astronomical targets in observed images are the most import…