Zhanghan Ke

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 307 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhanghan Ke trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Sergey Ioffe
  8. Yann LeCun
  9. Christian Szegedy
  10. Karen Simonyan

Who trusts Zhanghan Ke overall

  1. Lihe Yang
  2. Yanbei Chen
  3. Xiaokang Chen
  4. Daiqing Li
  5. Lei Qi
  6. Yuhui Yuan
  7. Massimiliano Mancini
  8. Wei Zhuo

Papers from Zhanghan Ke's perspective

Ordered by how strongly the researchers Zhanghan Ke 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers