Xun Huang

Computer Vision and Pattern Recognition · with Shechtman · 2024–2025

A researcher in the Science corpus: 2 papers; trusts 69 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xun Huang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alexia Jolicoeur-Martineau
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Marc'Aurelio Ranzato
  7. Kaiming He
  8. Yann LeCun
  9. Ilya Sutskever
  10. Karen Simonyan

Papers from Xun Huang's perspective

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

Their papers