Alex Yu

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 281 researchers and is trusted by 135 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 106 citations into it; #2,976 of 21,575 by trust here, #3,075 by citations
• Computer Graphics and Computer-Aided Design — 73 citations into it; #206 of 1,584 by trust here, #101 by citations
• Computational Mechanics — 52 citations into it; #1,235 of 10,001 by trust here, #369 by citations
• 3D Vision & Pose — 51 citations into it; #301 of 689 by trust here, #211 by citations
• Generative Models — 13 citations into it
• Aerospace Engineering — 9 citations into it
• Atomic and Molecular Physics, and Optics — 5 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Alex Yu trusts overall

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

1. Diederik P. Kingma
2. Lars M. Mescheder
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Michael Niemeyer
7. Vincent Sitzmann
8. Jitendra Malik
9. Ross B. Girshick
10. Yoshua Bengio

Who trusts Alex Yu overall

1. Anpei Chen
2. Matthew Tancik
3. Haithem Turki
4. Zexiang Xu
5. Andreas Geiger
6. Zehao Yu
7. Kyle Gao
8. Deva Ramanan
9. Jonathan T. Barron
10. Christian Reiser

Papers from Alex Yu's perspective

Ordered by how strongly the researchers Alex Yu 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. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. GENERATIVE ADVERSARIAL NETS

Their papers

• pixelNeRF: Neural Radiance Fields from One or Few Images (2020) — 2,248 citations
• PlenOctrees for Real-time Rendering of Neural Radiance Fields (2021) — 1,321 citations
• Plenoxels: Radiance Fields without Neural Networks (2021) — 2,260 citations