Junhui Hou

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 299 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Junhui Hou trusts overall

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

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

Who trusts Junhui Hou overall

  1. Chongyi Li
  2. Runmin Cong
  3. Lintao Peng

Papers from Junhui Hou's perspective

Ordered by how strongly the researchers Junhui Hou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers