Jinming Liu

Computer Vision and Pattern Recognition · with Feng · 2023

A researcher in the Science corpus: 2 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinming Liu trusts overall

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

  1. David C. Minnen
  2. Jia Deng
  3. Diederik P. Kingma
  4. Gisle Bjøntegaard
  5. Johannes Ballé
  6. Jimmy Ba
  7. Renjie Zou
  8. Geoffrey E. Hinton
  9. Saurabh Singh
  10. Alex Krizhevsky

Papers from Jinming Liu's perspective

Ordered by how strongly the researchers Jinming Liu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers