Jian Cheng

Computer Vision and Pattern Recognition · with Liu · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 347 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Cheng trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Weiyang Liu
  6. Karen Simonyan
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Christian Szegedy
  10. Ross B. Girshick

Who trusts Jian Cheng overall

  1. Weiyang Liu
  2. Jiankang Deng
  3. Mei Wang
  4. Xiao Zhang
  5. Arsha Nagrani
  6. Hang Qi
  7. Yandong Wen
  8. Jia Guo
  9. Ting-En Lin
  10. Kevin Musgrave

Papers from Jian Cheng's perspective

Ordered by how strongly the researchers Jian Cheng 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers