Fei Gao

Computer Vision and Pattern Recognition · with Yu · 2017

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #19,131 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 21 citations into it; #31,354 of 35,345 by trust here, #25,040 by citations
• Representation & Self-Supervised Learning — 5 citations into it

Whom Fei Gao trusts overall

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

1. Thorsten Joachims
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yann LeCun
6. Ioannis Tsochantaridis
7. Kaiming He
8. Diederik P. Kingma
9. Ilya Sutskever
10. David G. Lowe

Who trusts Fei Gao overall

1. Ekta Prashnani
2. Sebastian Bosse
3. Maria Brbic

Papers from Fei Gao's perspective

Ordered by how strongly the researchers Fei Gao 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• DeepSim: Deep similarity for image quality assessment (2017) — 156 citations
• Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking (2017) — 352 citations