Chen-Lin Zhang

Computer Vision and Pattern Recognition · 2016–2022

A researcher in the Science corpus: 3 papers; trusts 725 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Chen-Lin Zhang 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. Diederik P. Kingma
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Chen-Lin Zhang overall

  1. Yi Wang
  2. Limin Wang
  3. Mirco Ravanelli
  4. Bingkun Huang

Papers from Chen-Lin Zhang's perspective

Ordered by how strongly the researchers Chen-Lin Zhang 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