World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10754
World Ranking
5086
National Ranking
689

Overview

Jingyi Yu is affiliated with ShanghaiTech University in China. Their research primarily focuses on the fields of Computer Science and Engineering, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's work spans multiple topics, including:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Human Pose and Action Recognition
  • Advanced Image Processing Techniques
  • Human Motion and Animation
  • Image Enhancement Techniques

Jingyi Yu has published extensively in a variety of venues, frequently contributing to the following publication platforms:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Among recent publications, key works include:

  • MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Structural basis for strychnine activation of human bitter taste receptor TAS2R46, 2022, Science
  • HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Coarse-to-Fine Dense Light Field Reconstruction With Flexible Sampling and Geometry-Aware Fusion, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Jingyi Yu has collaborated frequently with several researchers, including Lan Xu, Qixuan Zhang, Minye Wu, Longwen Zhang, and Yingliang Zhang.

Best Publications

  • Saliency Detection on Light Field

    Nianyi Li;Jinwei Ye;Yu Ji;Haibin Ling

  • MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo

    Anpei Chen;Zexiang Xu;Fuqiang Zhao;Xiaoshuai Zhang

  • Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging

    Ramesh Raskar;Kar-Han Tan;Rogerio Feris;Jingyi Yu

  • Salient Region Detection by UFO: Uniqueness, Focusness and Objectness

    Peng Jiang;Haibin Ling;Jingyi Yu;Jingliang Peng

  • Gaze Prediction in Dynamic 360° Immersive Videos

    Yanyu Xu;Yanbing Dong;Junru Wu;Zhengzhong Sun

  • Single-Image Vignetting Correction

    Yuanjie Zheng;S. Lin;C. Kambhamettu;Jingyi Yu

  • Image fusion for context enhancement and video surrealism

    Ramesh Raskar;Adrian Ilie;Jingyi Yu

  • General Linear Cameras

    Jingyi Yu;Jingyi Yu;Leonard McMillan

  • Spatial-Angular Interaction for Light Field Image Super-Resolution

    Yingqian Wang;Longguang Wang;Jungang Yang;Wei An

  • Line Assisted Light Field Triangulation and Stereo Matching

    Zhan Yu;Xinqing Guo;Haibing Ling;Andrew Lumsdaine

  • A hybrid camera for motion deblurring and depth map super-resolution

    Feng Li;Jingyi Yu;Jinxiang Chai

  • Light Field Stereo Matching Using Bilateral Statistics of Surface Cameras

    Can Chen;Haiting Lin;Zhan Yu;Sing Bing Kang

  • Detecting silhouette edges in images

    Ramesh Raskar;Jingyi Yu

  • Depth Recovery from Light Field Using Focal Stack Symmetry

    Haiting Lin;Can Chen;Sing Bing Kang;Jingyi Yu

  • Image fusion for context enhancement and video surrealism

    Ramesh Raskar;Adrian Ilie;Jingyi Yu

  • A weighted sparse coding framework for saliency detection

    Nianyi Li;Bilin Sun;Jingyi Yu

  • A new reconstruction filter for undersampled light fields

    J. Stewart;J. Yu;S. J. Gortler;L. McMillan

  • Editable free-viewpoint video using a layered neural representation

    Jiakai Zhang;Xinhang Liu;Xinyi Ye;Fuqiang Zhao

  • Importance filtering for image retargeting

    Yuanyuan Ding;Jing Xiao;Jingyi Yu

  • Blurred target tracking by Blur-driven Tracker

    Yi Wu;Haibin Ling;Jingyi Yu;Feng Li

  • Saliency Detection in 360\(^\circ \) Videos

    Ziheng Zhang;Yanyu Xu;Jingyi Yu;Shenghua Gao

Frequent Co-Authors

Leonard McMillan
Leonard McMillan University of North Carolina at Chapel Hill
Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Shenghua Gao
Shenghua Gao ShanghaiTech University
Haibin Ling
Haibin Ling Westlake University
Xiaogang Chen
Xiaogang Chen University of Manchester
Cathy H. Wu
Cathy H. Wu University of Delaware
Sam Kwong
Sam Kwong Lingnan University
Junhui Hou
Junhui Hou City University of Hong Kong
Chandra Kambhamettu
Chandra Kambhamettu University of Delaware

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