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20182026
most citedUnderstanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems

548 citations · 1.3k across the 32 of their papers we have counts for

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Showing 2021Show all

11 papers · 1 filter

cs.CV2021

Separating Content and Style for Unsupervised Image-to-Image Translation

Yunfei Liu, Haofei Wang, Yang Yue +1

Unsupervised image-to-image translation aims to learn the mapping between two visual domains with unpaired samples. Existing works focus on disentangling domain-invariant content c…

cs.CV2021

Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation

Yunfei Liu, Ruicong Liu, Haofei Wang +1

Deep neural networks have significantly improved appearance-based gaze estimation accuracy. However, it still suffers from unsatisfactory performance when generalizing the trained…

cs.CV2021★ 6 cited

Assessment of Deep Learning-based Heart Rate Estimation using Remote Photoplethysmography under Different Illuminations

Ze Yang, Haofei Wang, Feng Lu

Remote photoplethysmography (rPPG) monitors heart rate without requiring physical contact, which allows for a wide variety of applications. Deep learning-based rPPG have demonstrat…

eess.IV2021★ 85 cited

Explainable Diabetic Retinopathy Detection and Retinal Image Generation

Yuhao Niu, Lin Gu, Yitian Zhao +1

Though deep learning has shown successful performance in classifying the label and severity stage of certain diseases, most of them give few explanations on how to make predictions…

cs.CV2021★ 1 cited

Gaze Estimation using Transformer

Yihua Cheng, Feng Lu

Recent work has proven the effectiveness of transformers in many computer vision tasks. However, the performance of transformers in gaze estimation is still unexplored. In this pap…

cs.CV2021★ 67 cited

Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

Yihua Cheng, Haofei Wang, Yiwei Bao +1

Human gaze provides valuable information on human focus and intentions, making it a crucial area of research. Recently, deep learning has revolutionized appearance-based gaze estim…

cs.CV2021★ 2 cited

Vulnerability of Appearance-based Gaze Estimation

Mingjie Xu, Haofei Wang, Yunfei Liu +1

Appearance-based gaze estimation has achieved significant improvement by using deep learning. However, many deep learning-based methods suffer from the vulnerability property, i.e.…

cs.CV2021★ 18 cited

Unsupervised Two-Stage Anomaly Detection

Yunfei Liu, Chaoqun Zhuang, Feng Lu

Anomaly detection from a single image is challenging since anomaly data is always rare and can be with highly unpredictable types. With only anomaly-free data available, most exist…

cs.CV2021★ 4 cited

Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets

Yiwei Bao, Yihua Cheng, Yunfei Liu +1

Recently, many multi-stream gaze estimation methods have been proposed. They estimate gaze from eye and face appearances and achieve reasonable accuracy. However, most of the metho…

cs.CV2021★ 6 cited

PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation

Yihua Cheng, Yiwei Bao, Feng Lu

Gaze estimation methods learn eye gaze from facial features. However, among rich information in the facial image, real gaze-relevant features only correspond to subtle changes in e…

cs.CV2021★ 58 cited

Polarization Guided Specular Reflection Separation

Sijia Wen, Yingqiang Zheng, Feng Lu

Since specular reflection often exists in the real captured images and causes deviation between the recorded color and intrinsic color, specular reflection separation can bring adv…