F. Li

Computer Vision and Pattern Recognition · with Perona · 2002–2003

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #9,845 of 21,575 by trust here, #14,822 by citations

Whom F. Li trusts overall

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

1. Rob Fergus
2. Michael I. Jordan
3. Markus Weber
4. Henry A. Rowley
5. Pietro Perona
6. Kah Kay Sung
7. Max Welling
8. Geoffrey E. Hinton
9. Takeo Kanade
10. Radford M. Neal

Who trusts F. Li overall

1. Li Fei-Fei
2. Chelsea Finn
3. Lianghua Huang
4. Angelina Wang
5. Pranav Shyam
6. Jeremy M. Wolfe
7. Tolga Cukur
8. Mohamed Elhoseiny
9. Devi Parikh
10. Antonio Torralba

Papers from F. Li's perspective

Ordered by how strongly the researchers F. Li 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Bayesian approach to unsupervised one-shot learning of object categories (2003) — 214 citations
• Rapid natural scene categorization in the near absence of attention (2002) — 834 citations