548 citations · 673 across the 5 of their papers we have counts for
5 papers
SRMAE: Masked Image Modeling for Scale-Invariant Deep Representations
Zhiming Wang, Lin Gu, Feng Lu
Due to the prevalence of scale variance in nature images, we propose to use image scale as a self-supervised signal for Masked Image Modeling (MIM). Our method involves selecting r…
Fixed Pattern Noise Reduction for Infrared Images Based on Cascade Residual Attention CNN
Juntao Guan, Rui Lai, Ai Xiong +2
Existing fixed pattern noise reduction (FPNR) methods are easily affected by the motion state of the scene and working condition of the image sensor, which leads to over smooth eff…
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems
Xingjun Ma, Yuhao Niu, Lin Gu +4
Deep neural networks (DNNs) have become popular for medical image analysis tasks like cancer diagnosis and lesion detection. However, a recent study demonstrates that medical deep…
Pathological Evidence Exploration in Deep Retinal Image Diagnosis
Yuhao Niu, Lin Gu, Feng Lu +7
Though deep learning has shown successful performance in classifying the label and severity stage of certain disease, most of them give few evidence on how to make prediction. Here…
Virtual Blood Vessels in Complex Background using Stereo X-ray Images
Qiuyu Chen, Ryoma Bise, Lin Gu +5
We propose a fully automatic system to reconstruct and visualize 3D blood vessels in Augmented Reality (AR) system from stereo X-ray images with bones and body fat. Currently, typi…