Jingwen Hou

Computer Vision and Pattern Recognition · 2022–2023

A researcher in the Science corpus: 3 papers; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingwen Hou trusts overall

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

  1. A. Bovik
  2. Kaiming He
  3. Zhou Wang
  4. Hamid R. Sheikh
  5. Anish Mittal
  6. Vlad Hosu
  7. Karen Simonyan
  8. Geoffrey E. Hinton
  9. Jia Deng
  10. Alex Krizhevsky

Papers from Jingwen Hou's perspective

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

Their papers