Zezhou Cheng

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 113 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Zezhou Cheng trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Pedro H. O. Pinheiro
  4. Evan Shelhamer
  5. Kaiming He
  6. Dorin Comaniciu
  7. Ilya Sutskever
  8. Yann LeCun
  9. Liron Yatziv
  10. Yingge Qu

Who trusts Zezhou Cheng overall

  1. Richard Zhang
  2. Nantheera Anantrasirichai
  3. Justin Johnson
  4. Gustav Larsson
  5. Manoj Kumar
  6. Satoshi Iizuka
  7. Hao Wang
  8. Phillip Isola
  9. Andrey D. Ignatov
  10. D. Bull

Papers from Zezhou Cheng's perspective

Ordered by how strongly the researchers Zezhou Cheng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers