Mingyuan Fan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingyuan Fan trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Evan Shelhamer
  5. Jia Deng
  6. Ross B. Girshick
  7. Liang-Chieh Chen
  8. X. Zhang
  9. Shaoqing Ren
  10. Yann LeCun

Who trusts Mingyuan Fan overall

  1. Tomer Amit
  2. Huihui Pan
  3. Jiacong Xu

Papers from Mingyuan Fan's perspective

Ordered by how strongly the researchers Mingyuan Fan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers