World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5669
World Ranking
9845
National Ranking
1236

Overview

Feng Lu is affiliated with Beihang University in China and has made extensive contributions across multiple domains in science and engineering. Their research spans computer science, medicine, and engineering, with a notable focus on computer vision, human-computer interaction, and biomedical engineering.

Their work notably intersects several subfields of study including:

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Biomedical Engineering
  • Molecular Biology
  • Artificial Intelligence

Feng Lu's research also covers a variety of specialized topics, with significant publications related to:

  • Gaze Tracking and Assistive Technology
  • Advanced Computing and Algorithms
  • Hand Gesture Recognition Systems
  • Image Enhancement Techniques
  • Retinal Imaging and Analysis
  • Video Surveillance and Tracking Methods
  • Visual Attention and Saliency Detection

Their recent influential papers include:

  • "Understanding adversarial attacks on deep learning based medical image analysis systems," published in 2020 in Pattern Recognition
  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study," published in 2020 in IEEE Transactions on Image Processing
  • "Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset," published in 2021 in International Journal of Computer Vision
  • "A deep learning system for predicting time to progression of diabetic retinopathy," published in 2024 in Nature Medicine
  • "Gaze Estimation by Exploring Two-Eye Asymmetry," published in 2020 in IEEE Transactions on Image Processing

Feng Lu frequently collaborates with several researchers. The most common coauthors include:

  • Haofei Wang
  • Yunfei Liu
  • Yihua Cheng
  • Qijun Yao
  • Yiwei Bao

Their work has been published in numerous venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SID Symposium Digest of Technical Papers
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Visualization and Computer Graphics

Best Publications

  • Understanding adversarial attacks on deep learning based medical image analysis systems

    Xingjun Ma;Yuhao Niu;Lin Gu;Yisen Wang

  • Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

    Yunfei Liu;Xingjun Ma;James Bailey;Feng Lu

  • MBLLEN: Low-Light Image/Video Enhancement Using CNNs.

    Feifan Lv;Feng Lu;Jianhua Wu;Chongsoon Lim

  • Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset

    Feifan Lv;Yu Li;Feng Lu

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Adaptive Linear Regression for Appearance-Based Gaze Estimation.

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression

    Yihua Cheng;Feng Lu;Xucong Zhang

  • Inferring human gaze from appearance via adaptive linear regression

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation

    Yihua Cheng;Shiyao Huang;Fei Wang;Chen Qian

  • Gaze Estimation by Exploring Two-Eye Asymmetry

    Yihua Cheng;Xucong Zhang;Feng Lu;Yoichi Sato

  • VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes

    Zongji Wang;Feng Lu

  • Unsupervised Learning for Intrinsic Image Decomposition From a Single Image

    Yunfei Liu;Yu Li;Shaodi You;Feng Lu

  • A Head Pose-free Approach for Appearance-based Gaze Estimation

    Feng Lu;Takahiro Okabe;Yusuke Sugano;Yoichi Sato

  • Learning gaze biases with head motion for head pose-free gaze estimation

    Feng Lu;Takahiro Okabe;Yusuke Sugano;Yoichi Sato

  • Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks

    Zhixiang Hao;Yu Li;Shaodi You;Feng Lu

  • Polarization Guided Specular Reflection Separation

    Sijia Wen;Yinqiang Zheng;Feng Lu

  • PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation.

    Yihua Cheng;Yiwei Bao;Feng Lu

  • Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances

    Feng Lu;Yasuyuki Matsushita;Imari Sato;Takahiro Okabe

  • Gaze Estimation From Eye Appearance: A Head Pose-Free Method via Eye Image Synthesis

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets

    Yiwei Bao;Yihua Cheng;Yunfei Liu;Feng Lu

  • Look, Perceive and Segment: Finding the Salient Objects in Images via Two-stream Fixation-Semantic CNNs

    Xiaowu Chen;Anlin Zheng;Jia Li;Feng Lu

  • Head pose-free appearance-based gaze sensing via eye image synthesis

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Explainable Diabetic Retinopathy Detection and Retinal Image Generation

    Yuhao Niu;Lin Gu;Yitian Zhao;Feng Lu

Frequent Co-Authors

Yoichi Sato
Yoichi Sato University of Tokyo
Yinqiang Zheng
Yinqiang Zheng National Institute of Informatics
Yusuke Sugano
Yusuke Sugano University of Tokyo
Yitian Zhao
Yitian Zhao Chinese Academy of Sciences
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
James Bailey
James Bailey University of Melbourne
Xiangyang Ji
Xiangyang Ji Tsinghua University
Yue Gao
Yue Gao Tsinghua University
Qionghai Dai
Qionghai Dai Tsinghua University
Sai-Kit Yeung
Sai-Kit Yeung Hong Kong University of Science and Technology

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