Kecheng Zheng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kecheng Zheng trusts overall

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

  1. Kaiming He
  2. Marco Cuturi
  3. Liang Zheng
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Yann LeCun
  9. Karen Simonyan
  10. Diederik P. Kingma

Papers from Kecheng Zheng's perspective

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

Their papers