Daquan Zhou

Computer Vision and Pattern Recognition · 8 papers · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 1,242 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Daquan Zhou trusts overall

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

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

Who trusts Daquan Zhou overall

  1. Jianwei Yang
  2. Qibin Hou
  3. Yulin Wang
  4. Weihao Yu
  5. Andreas Blattmann
  6. Zihang Jiang
  7. Sachin Mehta
  8. Li Yuan
  9. Shiwei Zhang
  10. Yin-Yin He

Papers from Daquan Zhou's perspective

Ordered by how strongly the researchers Daquan 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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