Jianfei Gao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 115 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 39 citations into it; #17,700 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 27 citations into it; #28,993 of 35,345 by trust here, #28,481 by citations

Whom Jianfei Gao trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Tsung-Yi Lin
6. Alex Krizhevsky
7. Yann LeCun
8. Yoshua Bengio
9. Karen Simonyan
10. X. Zhang

Who trusts Jianfei Gao overall

1. Juan R. Terven

Papers from Jianfei Gao's perspective

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

Their papers

• Channel-wise Knowledge Distillation for Dense Prediction* (2020) — 462 citations