Xiaohan Chen

Computer Vision and Pattern Recognition · with Wang · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 90 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohan Chen trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yann LeCun
  6. Yurii E. Nesterov
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Jonas Adler
  10. Karen Simonyan

Papers from Xiaohan Chen's perspective

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

Their papers