output
20172026
most citedLow Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss

1.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.CVShow all

4 papers · 2 filters

cs.CV2020★ 24 cited

Efficient Semi-Supervised Gross Target Volume of Nasopharyngeal Carcinoma Segmentation via Uncertainty Rectified Pyramid Consistency

Xiangde Luo, Wenjun Liao, Jieneng Chen +6

Gross Target Volume (GTV) segmentation plays an irreplaceable role in radiotherapy planning for Nasopharyngeal Carcinoma (NPC). Despite that Convolutional Neural Networks (CNN) hav…

cs.CV2020★ 25 cited

Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia

Xi Ouyang, Jiayu Huo, Liming Xia +15

The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 20…

cs.CV2020★ 69 cited

SlimConv: Reducing Channel Redundancy in Convolutional Neural Networks by Weights Flipping

Jiaxiong Qiu, Cai Chen, Shuaicheng Liu +1

The channel redundancy in feature maps of convolutional neural networks (CNNs) results in the large consumption of memories and computational resources. In this work, we design a n…

cs.CV2020

FoCL: Feature-Oriented Continual Learning for Generative Models

Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei +3

In this paper, we propose a general framework in continual learning for generative models: Feature-oriented Continual Learning (FoCL). Unlike previous works that aim to solve the c…