Junfu Pu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junfu Pu trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Alex Graves
  4. Chin-Yew Lin
  5. Paul Taylor

Papers from Junfu Pu's perspective

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

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

Their papers