Deyi Ji

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Deyi Ji trusts overall

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

  1. Liang-Chieh Chen
  2. Kaiming He
  3. Hengshuang Zhao
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick

Papers from Deyi Ji's perspective

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

Their papers