Vickie Ye

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 115 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it; #6,172 of 21,575 by trust here, #5,941 by citations
• Computer Graphics and Computer-Aided Design — 27 citations into it; #531 of 1,584 by trust here, #278 by citations
• 3D Vision & Pose — 21 citations into it; #300 of 689 by trust here, #211 by citations
• Computational Mechanics — 20 citations into it; #3,192 of 10,001 by trust here, #1,160 by citations

Whom Vickie Ye trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Shichen Liu
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Ross B. Girshick
7. Yoshua Bengio
8. Yann LeCun
9. Lars M. Mescheder
10. Jitendra Malik

Who trusts Vickie Ye overall

1. Anpei Chen
2. Zexiang Xu
3. Mehdi S. M. Sajjadi
4. Jiawei Yang
5. Philipp Henzler
6. Jeremy Reizenstein
7. Michael Niemeyer
8. Vincent Sitzmann
9. Stanislaw Szymanowicz
10. Ajay Jain

Papers from Vickie Ye's perspective

Ordered by how strongly the researchers Vickie Ye 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. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• pixelNeRF: Neural Radiance Fields from One or Few Images (2020) — 2,248 citations
• gsplat: An Open-Source Library for Gaussian Splatting (2024) — 330 citations