World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
11115
World Ranking
7435
National Ranking
979

Overview

Jue Wang is a researcher affiliated with Tencent (China). Their scholarly work spans multiple domains within computer science and engineering, focusing particularly on computer vision and related subfields.

The main fields of study for Jue Wang include:

  • Computer Science
  • Engineering

Within these fields, Jue Wang's research is concentrated in several key subareas such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Computational Mechanics
  • Media Technology

The researcher's work covers various topics, including:

  • Advanced Image Processing Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning
  • Image and Signal Denoising Methods

Jue Wang has contributed to numerous papers published in reputable venues. Notable recent publications include:

  • Effect of Convalescent Plasma Therapy on Time to Clinical Improvement in Patients With Severe and Life-threatening COVID-19 (2020), JAMA
  • VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training (2022), arXiv (Cornell University)
  • AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition (2022), arXiv (Cornell University)
  • Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • High-Fidelity GAN Inversion for Image Attribute Editing (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequently publishing in venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Transactions on Image Processing
  • SSRN Electronic Journal
  • ACM Transactions on Graphics

Jue Wang collaborates regularly with several researchers, including:

  • Yong Zhang
  • Yanbo Fan
  • Baoyuan Wu
  • Shuaicheng Liu
  • Xuan Wang

Best Publications

  • Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing

    Ketan Tang;Jianchao Yang;Jue Wang

  • Deep Video Deblurring for Hand-Held Cameras

    Shuochen Su;Mauricio Delbracio;Jue Wang;Guillermo Sapiro

  • Video SnapCut: robust video object cutout using localized classifiers

    Xue Bai;Jue Wang;David Simons;Guillermo Sapiro

  • Optimized Color Sampling for Robust Matting

    Jue Wang;M.F. Cohen

  • Image and video matting: a survey

    Jue Wang;Michael F. Cohen

  • Interactive video cutout

    Jue Wang;Pravin Bhat;R. Alex Colburn;Maneesh Agrawala

  • Edge-based blur kernel estimation using patch priors

    Libin Sun;Sunghyun Cho;Jue Wang;J. Hays

  • An iterative optimization approach for unified image segmentation and matting

    J. Wang;M.F. Cohen

  • A perceptually motivated online benchmark for image matting

    Christoph Rhemann;Carsten Rother;Jue Wang;Margrit Gelautz

  • Subspace video stabilization

    Feng Liu;Michael Gleicher;Jue Wang;Hailin Jin

  • Text Localization in Natural Images Using Stroke Feature Transform and Text Covariance Descriptors

    Weilin Huang;Zhe Lin;Jianchao Yang;Jue Wang

  • Video tooning

    Jue Wang;Yingqing Xu;Heung-Yeung Shum;Michael F. Cohen

  • The cartoon animation filter

    Jue Wang;Steven M. Drucker;Maneesh Agrawala;Michael F. Cohen

  • Handling Noise in Single Image Deblurring Using Directional Filters

    Lin Zhong;Sunghyun Cho;Dimitris Metaxas;Sylvain Paris

  • Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization

    Chen Chen;Minh N. Do;Jue Wang

  • Video deblurring for hand-held cameras using patch-based synthesis

    Sunghyun Cho;Jue Wang;Seungyong Lee

  • Soft scissors: an interactive tool for realtime high quality matting

    Jue Wang;Maneesh Agrawala;Michael F. Cohen

  • Expression flow for 3D-aware face component transfer

    Fei Yang;Jue Wang;Eli Shechtman;Lubomir Bourdev

  • Pause-and-play: automatically linking screencast video tutorials with applications

    Suporn Pongnumkul;Mira Dontcheva;Wilmot Li;Jue Wang

  • Practical Deep Raw Image Denoising on Mobile Devices

    Unknown

  • DocUNet: Document Image Unwarping via a Stacked U-Net

    Ke Ma;Zhixin Shu;Xue Bai;Jue Wang

Frequent Co-Authors

Michael F. Cohen
Michael F. Cohen Facebook (United States)
Shi-Min Hu
Shi-Min Hu Tsinghua University
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Ying-Qing Xu
Ying-Qing Xu Tsinghua University
Seungyong Lee
Seungyong Lee Pohang University of Science and Technology
Qionghai Dai
Qionghai Dai Tsinghua University
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Lubomir Bourdev
Lubomir Bourdev WaveOne, Inc.
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)

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