Jiang Cheng

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiang Cheng trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Martin Danelljan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Luca Bertinetto
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Jiang Cheng overall

  1. Xin Chen
  2. Xing Wei

Papers from Jiang Cheng's perspective

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

Their papers