Lu Chi

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 516 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 53 citations into it; #15,084 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 25 citations into it
• Model Architectures — 15 citations into it
• Automotive Engineering — 7 citations into it; #1,531 of 3,081 by trust here, #2,769 by citations

Whom Lu Chi trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Yann LeCun
7. Ilya Sutskever
8. Andrew Zisserman
9. Evan Shelhamer
10. Yoshua Bengio

Who trusts Lu Chi overall

1. Toshiyuki Motoyoshi
2. Shahaf E. Finder
3. Robin Rombach
4. Yongming Rao
5. Tao Yu
6. Roman Suvorov
7. Kazuma Sasaki
8. Roy Amoyal
9. Andreas Blattmann
10. Wenliang Zhao

Papers from Lu Chi's perspective

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

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

Their papers

• Fast Fourier Convolution (2020) — 764 citations
• Deep Steering: Learning End-to-End Driving Model from Spatial and Temporal Visual Cues (2017) — 115 citations