activity
20172021
most citedCREST: Convolutional Residual Learning for Visual Tracking

68 citations · 87 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV202116 cited

Stabilized Medical Image Attacks

Gege Qi, Lijun Gong, Yibing Song +2

Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis. However, a threat to these systems arises that adversarial attacks make…

cs.CV2020

Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications

Lijun Gong, Kai Ma, Yefeng Zheng

Medical image analysis benefits Computer Aided Diagnosis (CADx). A fundamental analyzing approach is the classification of medical images, which serves for skin lesion diagnosis, d…

cs.CV20201 cited

GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy

Shaoteng Liu, Lijun Gong, Kai Ma +1

The automatic grading of diabetic retinopathy (DR) facilitates medical diagnosis for both patients and physicians. Existing researches formulate DR grading as an image classificati…

cs.CV20192 cited

Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster

Qingbin Shao, Lijun Gong, Kai Ma +2

Accurate lesion detection in computer tomography (CT) slices benefits pathologic organ analysis in the medical diagnosis process. More recently, it has been tackled as an object de…

cs.CV2018

Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement

Yibing Song, Jiawei Zhang, Lijun Gong +5

We address the problem of restoring a high-resolution face image from a blurry low-resolution input. This problem is difficult as super-resolution and deblurring need to be tackled…

cs.CV2018

VITAL: VIsual Tracking via Adversarial Learning

Yibing Song, Chao Ma, Xiaohe Wu +6

The tracking-by-detection framework consists of two stages, i.e., drawing samples around the target object in the first stage and classifying each sample as the target object or as…