Shangchen Zhou

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 8 papers; trusts 743 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Shangchen Zhou trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Jimmy Ba
  8. Yann LeCun
  9. Ross B. Girshick
  10. Andrew Zisserman

Who trusts Shangchen Zhou overall

  1. Kelvin C. K. Chan
  2. Jianyi Wang
  3. Jingyun Liang
  4. X. Lin
  5. Zongsheng Yue
  6. Tao Yang
  7. Nantheera Anantrasirichai
  8. Jingwen He
  9. Chen Change Loy
  10. Xintao Wang

Papers from Shangchen Zhou's perspective

Ordered by how strongly the researchers Shangchen Zhou 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers