Peng Lu

Computer Vision and Pattern Recognition · with Falanga · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 83 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Peng Lu trusts overall

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

  1. Martin Danelljan
  2. Boris Houska
  3. Daniel Mellinger

Who trusts Peng Lu overall

  1. Elia Kaufmann

Papers from Peng Lu's perspective

Ordered by how strongly the researchers Peng Lu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers