Junpeng Jing

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junpeng Jing trusts overall

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

  1. Diederik P. Kingma
  2. Jessica J. Fridrich
  3. Eirikur Agustsson
  4. Jimmy Ba
  5. Geoffrey E. Hinton
  6. Tsung-Yi Lin
  7. Alex Krizhevsky
  8. Kaiming He
  9. Weiqi Luo
  10. Mauro Barni

Papers from Junpeng Jing's perspective

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

Their papers