Lifan Zhao

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 2 papers; trusts 253 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it; #21,266 of 21,575 by trust here, #15,955 by citations
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Lifan Zhao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. David G. Lowe
4. Ross B. Girshick
5. Antonio Torralba
6. Yann LeCun
7. Ilya Sutskever
8. Svetlana Lazebnik
9. Kaiming He
10. Quoc V. Le

Who trusts Lifan Zhao overall

1. G. Wang

Papers from Lifan Zhao's perspective

Ordered by how strongly the researchers Lifan Zhao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Integrating parametric and non-parametric models for scene labeling (2015) — 53 citations
• Exemplar based Deep Discriminative and Shareable Feature Learning for scene image classification (2015) — 69 citations