World's Best Scientists 2026 revealed!
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2025

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Rising Stars

D-Index
39
Citations
11188
World Ranking
679
National Ranking
102

Computer Science

D-Index
38
Citations
10546
World Ranking
9989
National Ranking
4207

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yinda Zhang is affiliated with Google in the United States and has contributed extensively to the fields of Computer Science and Engineering, with a primary focus on Computer Vision and Pattern Recognition, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

Their research work spans several main topics, including:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Human Pose and Action Recognition
  • Optical Measurement and Interference Techniques
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis

Zhang has published numerous papers, with notable recent works such as:

  • Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Pixel2Mesh: 3D Mesh Model Generation via Image Guided Deformation, 2020, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • On-off sketch, 2020, published in Proceedings of the VLDB Endowment
  • Multiresolution Deep Implicit Functions for 3D Shape Representation, 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Yinda Zhang frequently collaborates with a group of coauthors, including Zhaopeng Cui, Yanwei Fu, Sean Fanello, Xiangyang Xue, and Hujun Bao.

The main venues where Zhang's work is published include:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Image Processing
  • Proceedings of the VLDB Endowment

Best Publications

  • LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

    Fisher Yu;Yinda Zhang;Shuran Song;Ari Seff

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

    Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • Matterport3D: Learning from RGB-D Data in Indoor Environments

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Multi-Level Semantic Feature Augmentation for One-Shot Learning

    Zitian Chen;Yanwei Fu;Yinda Zhang;Yu-Gang Jiang

  • Deep Depth Completion of a Single RGB-D Image

    Yinda Zhang;Thomas Funkhouser

  • DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image

    Jiaxiong Qiu;Zhaopeng Cui;Yinda Zhang;Xingdi Zhang

  • TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking.

    Pingmei Xu;Krista A. Ehinger;Yinda Zhang;Adam Finkelstein

  • Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

    Yinda Zhang;Shuran Song;Ersin Yumer;Manolis Savva

  • PanoContext: A Whole-Room 3D Context Model for Panoramic Scene Understanding

    Yinda Zhang;Shuran Song;Ping Tan;Jianxiong Xiao

  • DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing

    Shaohui Liu;Yinda Zhang;Songyou Peng;Boxin Shi

  • Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

    Chao Wen;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

    Vladimir Tankovich;Christian Hane;Yinda Zhang;Adarsh Kowdle

  • Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

    Bangbang Yang;Yinda Zhang;Yinghao Xu;Yijin Li

  • Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

    Nanyang Wang;Yinda Zhang;Zhuwen Li;Yanwei Fu

  • CocoSketch: high-performance sketch-based measurement over arbitrary partial key query

    Yinda Zhang;Zaoxing Liu;Ruixin Wang;Tong Yang

  • ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

    Yinda Zhang;Yinda Zhang;Sameh Khamis;Christoph Rhemann;Julien P. C. Valentin

  • Joint Hand Detection and Rotation Estimation Using CNN

    Xiaoming Deng;Yinda Zhang;Shuo Yang;Ping Tan

  • Holistic 3D Scene Understanding from a Single Image with Implicit Representation

    Cheng Zhang;Zhaopeng Cui;Yinda Zhang;Bing Zeng

  • Hand3D: Hand Pose Estimation using 3D Neural Network.

    Xiaoming Deng;Shuo Yang;Yinda Zhang;Ping Tan

  • NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

    Unknown

  • NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing

    Unknown

  • HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

    Vladimir Tankovich;Christian Häne;Sean Fanello;Yinda Zhang

  • ActiveStereoNet: Unsupervised End-to-End Learning for Active Stereo Systems

    Yinda Zhang;Sameh Khamis;Christoph Rhemann;Julien Valentin

Frequent Co-Authors

Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
Yanwei Fu
Yanwei Fu Fudan University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Shahram Izadi
Shahram Izadi Google (United States)
Xiangyang Xue
Xiangyang Xue Fudan University
Ping Tan
Ping Tan Simon Fraser University
Bing Zeng
Bing Zeng University of Electronic Science and Technology of China
Jianxiong Xiao
Jianxiong Xiao AutoX, Inc.
Christoph Rhemann
Christoph Rhemann Google (United States)
Shuran Song
Shuran Song Stanford University

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