56 citations · 59 across the 4 of their papers we have counts for
4 papers
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction
Ruoqi Wang, Zhuoyang Chen, Qiong Luo +1
In radio astronomy, signals from radio telescopes are transformed into images of observed celestial objects, or sources. However, these images, called dirty images, contain real so…
Self-supervised denoising for massive noisy images
Feng Wang, Trond R. Henninen, Debora Keller +1
We propose an effective deep learning model for signal reconstruction, which requires no signal prior, no noise model calibration, and no clean samples. This model only assumes tha…
GAN-Knowledge Distillation for one-stage Object Detection
Wei Hong, Jin ke Yu Fan Zong
Convolutional neural networks have a significant improvement in the accuracy of Object detection. As convolutional neural networks become deeper, the accuracy of detection is also…
Multi-scale Convolutional Neural Networks for Inverse Problems
Feng Wang, Alberto Eljarrat, Johannes Müller +3
Inverse problems exist in many domains such as phase imaging, image processing, and computer vision. These problems are often solved with application-specific algorithms, even thou…