Kai Zhang

Computer Vision and Pattern Recognition · with Snavely · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #9,184 of 21,575 by trust here, #6,873 by citations
• Computer Graphics and Computer-Aided Design — 21 citations into it; #569 of 1,584 by trust here, #348 by citations
• 3D Vision & Pose — 13 citations into it; #329 of 689 by trust here, #266 by citations
• Aerospace Engineering — 5 citations into it

Whom Kai Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Johannes L. Schönberger
2. Richard Zhang
3. Jan-Michael Frahm
4. Gernot Riegler
5. Matthew Tancik
6. Lars M. Mescheder
7. Diederik P. Kingma
8. Geoffrey E. Hinton
9. Michael Niemeyer
10. Alex Krizhevsky

Who trusts Kai Zhang overall

1. Lior Yariv
2. Jonathan T. Barron
3. Jiatao Gu
4. Ajay Jain
5. Peng Wang
6. Antoine Guédon
7. Matthew Tancik
8. Michael Oechsle
9. Haithem Turki
10. Lingjie Liu

Papers from Kai Zhang's perspective

Ordered by how strongly the researchers Kai Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• NeRF++: Analyzing and Improving Neural Radiance Fields (2020) — 1,237 citations
• PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting (2021) — 454 citations