Fei Mao

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Fei Mao trusts overall

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

  1. Alex Krizhevsky
  2. Ronan Collobert

Who trusts Fei Mao overall

  1. Jia-Nan Wu

Papers from Fei Mao's perspective

Ordered by how strongly the researchers Fei Mao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Caffe: Convolutional Architecture for Fast Feature Embedding
  5. Torch7: A Matlab-like Environment for Machine Learning
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. cuDNN: Efficient Primitives for Deep Learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers