Mike Pan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mike Pan trusts overall

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

  1. Andy Zeng
  2. Shuran Song
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Vinod Nair
  6. David Eigen
  7. Alex Krizhevsky
  8. Fisher Yu
  9. Ross B. Girshick
  10. Rob Fergus

Papers from Mike Pan's perspective

Ordered by how strongly the researchers Mike Pan 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. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Microsoft COCO: Common Objects in Context
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers