Yan Meng

Computer Vision and Pattern Recognition · with Jin · 2011

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Meng trusts overall

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

  1. Ivan Laptev
  2. Christian Schüldt
  3. Yan Ke
  4. Li Fei-Fei
  5. Geoffrey E. Hinton
  6. Alexei A. Efros
  7. Kaiming He
  8. Alex Krizhevsky
  9. Wulfram Gerstner
  10. Ross B. Girshick

Papers from Yan Meng's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers