Jiawei Fei

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Jiawei Fei trusts overall

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

1. Kaiming He
2. Pitch Patarasuk
3. Dan Alistarh
4. X. Zhang
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Shaoqing Ren
8. Wujie Wen
9. Karen Simonyan
10. Yann LeCun

Who trusts Jiawei Fei overall

1. Samuel Horváth

Papers from Jiawei Fei's perspective

Ordered by how strongly the researchers Jiawei Fei 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
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

• Efficient sparse collective communication and its application to accelerate distributed deep learning (2020) — 142 citations
• An incremental face recognition system based on deep learning (2017) — 20 citations