Hu Han

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 8 papers; trusts 445 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Hu Han trusts overall

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

  1. Paul A. Viola
  2. Chih-Jen Lin
  3. Xin Geng
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Diederik P. Kingma
  7. Neeraj Kumar
  8. David G. Lowe
  9. Alex Krizhevsky
  10. Yun Fu

Who trusts Hu Han overall

  1. Zhizhong Li
  2. Yaojie Liu
  3. Zitong Yu
  4. Amin Jourabloo
  5. Kimmo Kärkkäinen
  6. Derek Hoiem
  7. Sen Jia
  8. Mahmoud Afifi
  9. Ankit Kumar Sharma
  10. Kaiyang Zhou

Papers from Hu Han's perspective

Ordered by how strongly the researchers Hu Han 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers